ABSTRACT A FACET THEORY ANALYSIS OF "WHAT'S IN A NAME": BLACK VERSUS NEGRO BY Martin George Brodwin Statement of the Problem The very existence of racism in our world signifies the importance of this study. In the United States, prej— udice of white peOple toward blacks needs to be thoroughly investigated for change to be instrumented. The colleges and universities are ideal institutions for imperative changes in race relations to originate and be generated through the society. Thus, a study of "attitude-behaviors" of college students is a valuable undertaking. The present study1 reviewed the literature behind the Attitude Behavior Scale as instrumented by Jordan and Hamersma (l969),and explored mmmaspecific areas of atti- tude research that led to development of the scale. The research is based upon Guttman's (1950, p. 51) definition of attitude as a "delimited totality of behavior with 1Part of a larger cross-cultural study under the direction of John E. Jordan, College of Education, Michigan State University, East Lansing, Michigan, 48823. Martin George Brodwin respect to something," and Jordan's (1971a) conception of "attitude-behavior" to connote this. Two different attitude instruments were used in this study; the Attitude Behavior Scale, and a twenty-item Semantic Differential scale as developed by Osgood, Suci, and Tannenbaum (1957). Use of the Semantic Differential provided information on the relationships between race, color labelling, word symbolism, and attitudes about the attitude object in-situation. Methodology Three forms of the racial attitude scale, ABS-WB-G, ABS-WN-G, and ABS-BW-G, were used in this study. These scales evaluated white college students' "attitude- behaviors" toward two racial labelling concepts, 'black' and 'Negro.’ These two attitude object labels were used to assess whether the words 'black' and 'Negro' elicited different attitude-behaviors in white college students. The groups tested were also given a Semantic Differential measure of attitudes toward race, along with the Attitude Behavior Scale. Several hypotheses were analyzed using product moment coefficients, multivariate analysis of variance techniques, two-sample t-tests, and the Kaiser 22 for simplex approximation. Martin George Brodwin Results Some of the more important results were the following: 1. No differential relationships were found between students taking the "ABS toward blacks" and those taking the "ABS toward Negroes,‘ on the six Levels of the Attitude Behavior Scale. The attitude data from the samples did approximate a Guttman simplex structure. Some significant correlations were found between the variable of efficacy and the six ABS Levels. There were no significant correlations between the 'evaluation,"potency,' and 'activity' dimensions of the Semantic Differential and the six Levels of the ABS. A FACET THEORY ANALYSIS OF "WHAT'S IN A NAME": BLACK VERSUS NEGRO By Martin George Brodwin A THESIS Submitted to Michigan State University in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY Department of Counseling, Personnel Services and Educational Psychology College of Education 1973 © Copyright by MARTIN GEORGE BRODWIN 1973 What shall I tell my children who are black Of what it means to be a captive in this dark skin? What shall I tell my dear one, fruit of my womb, Of how beautiful they are when everywhere they turn They are faced with abhorrence of everything that is black The night is black and so is the boogyman. Villains are black with black hearts. A black cow gives no milk. A black hen lays no eggs. Bad news comes bordered in black, mourning clothes black, Storm clouds, black, black is evil And evil is black and devils food is black . . . What shall I tell my dear ones raised in a white world A place where white has been made to represent All that is good and pure and fine and decent, Where clouds are white and dolls, and heaven Surely is a white white place with angels Robed in white, and cotton candy and ice cream And milk and ruffled Sunday dresses And dream houses and long sleek Cadillacs And angel's food is white . . . all, all . . . white. (Margaret Burroughg,cited in Banks & Joyce, 1971, p.35). ii Dedicated to my brother, Buddy iii PREFACE This study is one in a series, jointly designed by several investigators, as an example of the 'project' approach to graduate research. A common use of instrumen- tation and theoretical material, as well as technical and analyses procedures, was both necessary and desirable. iv ACKNOWLEDGEMENTS First of all, I would like to thank my advisor and chairman Dr. John E. Jordan who has not only given me guidance and encouragement in all aspects of this disser- tation, but has helped give my life direction. With him, I hope for a lifelong friendship and continuing professional relationship. Also, I would like to eXpress my deep appreciation to my committee members: Dr. Thomas Gunnings, Dr. Maryellen McSweeney, and Dr. Stephen Yelon for their time in reviewing the data, making helpful suggestions, and giving me new insight. The roles of Dr. Keith Anderson and Dr. R. G. Rex were paramount in the administration and gathering of my data. Also thanks to my friends and fellow students, Bahman Dadgostar, Marie Hightower, Sue Kohen, and B. N. Singh who aided in the completion of the data. I would like to mention the names of those doctoral students whose encouragements and friendships have helped make my stay at Michigan State University an enjoyable experience; John Aycock, Lynne Brody, Bahman Dadgostar, Ken Gottlieb, James Hightower, Aubrey Radcliffe, B. N. Singh, and Win Smith. I would like to thank my friend and typist, Judy Little, who helped me finish work on this thesis. Last but by no means least, without the continuous assistance and encouragement from my parents, Dr. and Mrs. Allen L. Brodwin, and my brother Bennett, this dissertation would not be possible. vi TABLE OF CONTENTS PREFACE O O O O O O O O O O O O O 0 ACKNOWLEDGEMENTS . . . . . . . . . . LIST OF TABLES O O O O O O O O O O O 0 LIST OF FIGURES . . . . . . . . . . . . Chapter I. INTRODUCTION . . . . . . . . . . Problem . . . . . . . . . . Need 0 O O O O O O 0 O O 0 Purpose . . . . . . . . . . Definitions . . . . . . . . . Hypotheses . . . . . . . . . Organization of the Thesis . . . . II. III. HISTORICAL ANTECEDENTS OF FACET THEORY AS IT RELATES TO GUTTMAN-JORDAN METHODOLOGY . Early Foundations of Attitude- Behavior Research . . . . . . Early Experimental Research, Theory and Development: British Empiricism and German Experimentalism . . . . . The Development of Quantitative Psychology . . . . . . . . . Guttman Methodology . . . . . Theoretical Developments in Attitude- Behavior Research . . . . . . The Conception of Attitude as Attitude-Behavior . . . . . . Summary . . . . . . . . . . RACIAL ASPECTS OF PREJUDICE . . . . . Introduction . . . . . . . . . Race Labelling . . . . . . . . The Relationship Between Language and Racial Prejudice . . . . Cognitive, Affective, and Behavioral Aspects of Racial Attitudes . . . Conclusion . . . . . . . . . vii Page iv ix xii 15 l6 l7 l8 19 21 24 3O 51 76 83 93 95 95 96 110 114 115 Chapter IV. RACE, COLOR-LABELLING, AND THE SEMANTIC DIFFERENTIAL Introduction . . . Word Symbolism . . The Semantic Differential Technique Color Labelling and the Semantic Differential . . Conclusion V. METHODOLOGY VI. DESI Review of Attitude Scales Guttman's Theoretical Structure: A Four-Level Theory . Jordan's Six-Level Adaptation . . Attitude-Behavior Scales (ABS) . . The Simplex Approximation and the Reliability and Validity GN . . Instrumentation . . Procedure Research Hypotheses VII. ANALYSIS OF THE DATA . VIII. SUMMARY, DISCUSSION, AND RECOMMENDATIONS REFERENCES APPENDICES A. 8-1. B-2. B-3. C. Analysis Procedure . Research Hypotheses Summary of the Study Discussion Recommendations for Further Research Summary Glossary Attitude Attitude Attitude Semantic of the ABS Behavior Scale WB-G . . Behavior Scale WN-G . . Behavior Scale BW-G . . Differential viii ABS Scales Page 118 118 119 121 130 147 150 153 156 162 173 188 199 204 204 204 210 221 221 224 237 238 241 256 265 269 286 287 292 313 334 355 Table 1. lo. 11. 12. 13. 14. LIST OF TABLES Hierarchy of Coefficients (Amalgamated Series). (A) Elementary School . . . Hierarchy of Coefficients (Amalgamated Series). (B) Preparatory School . . . Correlations of Peterson . . . . . . Correlation Matrices with Variables in Hierarchical Order . . . . . . . Correlation Matrix . . . . . . . . Intercorrelations of Six Hypothetical Tests Having One Common Factor, Illustrating the Condition of Simple Proportionality in a Correlation Matrix . . . . . . Same Intercorrelations as in Table 6 with Variables Rearranged so as to Show the Proportionality More Clearly . . . . Test Intercorrelations for a Hypothetical Single-Common-Factor Structure . . . Test Intercorrelations for a Hypothetical Equally-Spaced, Perfect Simplex . . . Test Intercorrelations for a Hypothetical, Non-equally-Spaced, Perfect Simplex . . Scalogram Diagram for Three Dichotomous Items Facets on which Subuniverses Differ . . Guttman Facet Profiles of Attitude Subuniverse . . . . . . . . . . Empirical Intercorrelation of Scores on the Four Subuniverses . . . . . . . . ix Page 34 35 36 38 43 47 47 62 64 65 73 157 158 160 16. 17. 18. 19. 20. 21. 22. 23. 24. 25. 26. 27. 28. 29. Page Hypothetical Matrix of Level-By-Level Correlations Illustrating the Simplex Structure . . . . . . . . . . 161 Jordan Facets Used to Determine Joint Struction of an Attitude Universe . . . . 163 Joint Level, Profile Composition, and Labels for Six Types of Attitude Struction . . . . 164 Comparison of Guttman and Jordan Facet Designations . . . . . . . . . . . 165 Joint Level, Profile Composition, and Labels for Six Types of Attitude Struction . . . . 166 Permutations of Five Two-element Facets of Table 16 . . . . . . . . . . . . . 168 'Combinations of Five Two-element Facets and Basis of Elimination . . . . . . . . . 169 Five-Facet Six-Level System of Attitude Verbalizations: Levels, Facet Profiles, and Definitional Statements for Twelve Combinations . . . . . . . . . . . 170 Analysis of Theoretical Correlations of "Perfectly Ordered" Matrices with Equal and Unequal Differences Between Correlations . 190 Analysis of Simplex Correlations of the ABS-MR Test Development Data for the ED 200, Belize, and SER Samples . . . . . . . . . . 192 Simplex Results for Research Groups on Six Levels of the ABS-DF . . . . . . . . . 194 Analysis of Simplex Correlations of the ABS- BW/WN-G for the Samples . . . . . . . . 195 Analysis of Simplex Correlations of the ABS: BW/WN for the Research Groups . . . . . . 196 Correlation Matrices and g2 Values for Original and Best Simplex Approximations on the ABS-DU, All Categories, Initial Scale . 197 ABS-BW/WN/WB: Basic Variables List by IBM Card and Column. Brodwin Study (U.S. = 133) . 222 Table Page 30. Multivariate Analysis of Variance (MANOVA) Results for Racial Terms, 'Black' and 'Negro' O O O O O O O O O O O O O 226 31. Multivariate Analysis of Variance (MANOVA) Results for the Three Administration Groups . 226 32. Correlation Matrices and 92 Values for Original and Best Simplex Approximations . . 227 33. Correlations and Significance Levels of Efficacy to the Six Levels of ABS: WB-WN . . 232 34. t-Score Values for Semantic Differential Ratings of 'Negro Person' and 'Black Person' . 232 35. Correlations and Significance Levels of Efficacy and Five Concepts of the Semantic Differential on the Evaluation Dimension . . . . . . . . . . . . 233 36. Correlation Coefficients and Significance Levels Between the Six Levels of the ABS and the 'Evaluation' Dimension of 'Black' and 'Negro' of the Semantic Differential . . 235 37. Correlation Coefficients and Significance Levels Between the Six Levels of the ABS and the 'Potency' Dimension of 'Black' and 'Negro' of the Semantic Differential . . 235 38. Correlation Coefficients and Significance Levels Between the Six Levels of the ABS and the 'Activity' Dimension of 'Black' and 'Negro' of the Semantic Differential . . 235 xi Figure 1. LIST OF FIGURES Page Mapping Sentence for the Facet Analysis of Joint and Lateral Dimensions of Attitude- Behaviors Toward Participation in Specified Activities . . . . . . . . . . . . 177 A Mapping Sentence for the Facet Analysis of Attitudes Toward Mentally Retarded Persons . . . . . . . . . . . . . 178 A Mapping Sentence of the Conjoint, Disjoint, and Response Mode Struction Facets used to Structure the Attitude Behavior Scale— Mental Retardation . . . . . . . . . 179 Mapping Sentence for the Facet Analysis of Joint and Lateral Structure of Blacks' and Whites' Attitudes Toward Each Other . . 180 A Mapping Sentence for Strategies of Theory Development . . . . . . . . . 184 xii CHAPTER I INTRODUCTION What happens to a dream deferred? Does it dry up like a raisin in the sun? Or fester like a sore-- ‘And then run? Does it stink like rotten meat? Or crust and sugar over-- like a syrupy sweet? Maybe it just sags like a heavy load. OR DOES IT EXPLODE (Langston Hughes, 1966, p. 268). Problem Perhaps the most crucial issue facing Americans in the United States today, concerns their feelings and beliefs toward persons of differing backgrounds and cultures. Relations between blacks and whites in this country are at a critical crossroads; both races have become increasingly outspoken in expressing their opinions toward members of the other race. EXpression of these views has not always been rational or representative, but nevertheless these expressions stem from real feelings, emotions, hurts, and misunderstandings. The education and training going on in our schools Ith only reflect the views of the surrounding society, but 1 can have an effect in changing them. Students now in school will soon become a permanent part of the larger, surrounding environment and culture. As one psychologist sees it (Gunnings, 1971, p. 101), "our young students must not become protectors of the system, but innovators who are striving to make this a better world for all." If we as educators, counselors, and researchers fail to make an impact on our students, to at least make them aware of racial injustice, we will have as a result contributed to racism in American society. Students must become willing "to take on the system--a system that has so obviously created inferior inner city education, a system that has dehumanized man, and a system that has oppressed minori- ties" (Gunnings, 1971, p. 101). America is at present a racist society. Racism and racist conceptions pervade most of the institutions in this country. Blauner (1970, pp. 115-116) pointed out two distinctive characteristics of this racism. "First, that (aside from age and sex) the division based upon color is the single most important split within the society, the body politic, and the national psyche." The second characteristic contributing to racism, cited by Blauner, involves the major institutional structures in America: "that various processes and practices of exclusion and subordination based upon color are built into the major public institutions (labor market, education, politics, and law enforcement) with the effect of maintaining special privileges, power, and values for the benefit of the white majority." The black man in America has not been the only group discriminated against. According to Allport (1954), prejudice against all minority groups has had a similar basis: The rich take to opium and hashish, those who cannot afford them become anti-Semites. Anti-Semitism is the morphine of the small people . . . Since they cannot attain the ectasy of love they seek the ectasy of hatred . . . It matters little who it is they hate. The Jew is just convenient. If there were no Jews the anti-Semites would have to invent them (p. 343) . Out of the restrictions and policies of racism, grew a demand for black identity, soon transformed into a quest for a recognition of a broad1y~based black culture. Recog- nition of this black culture by the white majority would enhance understanding between the races. "For white Americans, too, a recognition of the vitality and innova- tion of all of Afro-America may help organization and expression and give us all a fuller means of understanding and prizing cultural diversity in our midst" (Szwed, 1970, pp. 295-296). Szwed emphasized the importance for whites to "grasp the dimensions of Afro-American culture and history and restore complete identity to a people who have been so long divided from their own past and from each other" (p. 296). The demand for whites to recognize and accept African culture in black Americans has been noted by other authors. However, there is an inherent confusion on the part of whites in accepting the fact that blacks do have a cultural heritage that they want to assert. For so many years, white America has denied this cultural heritage to blacks; it now becomes very difficult for whites to see and accept it. They want to deny its existence, and often feel that blacks should be assimilated into the white dominant middle-class society. The view of blacks as simply "white men in black skins" pervades much of white and even black thinking (Fanon, 1967). The struggle of the black man in America is related to the world-wide changes taking place especially in Africa. During the past twenty years, newly born nations in Africa have been seeking and struggling for independence. In his quest for 'black culture,‘ the American black has been discovering a unity with these nations. "In his own battle, the American Negro is able to achieve a new sense of kinship and feeling of purpose-- a new, larger, black identity. The struggle of black men has become symbolic of the struggle of all oppressed groups to achieve dignity and respect in the face of bigotry and discrimination" (Proshansky and Newton, 1968, p. 215). A cultural revolution is a change of outlook. It takes place inside the head. It is an overthrow of old values, prejudice, beliefs, and opinions, and the installation of the new. What happens outwardly merely reflects this internal transformation. This revolution among blacks in America shone forth in the form of great self-pride, assurance, fearlessness, determination, and a new aggressive- ness (Smith, 1970, p. 38). According to many social scientists, the words 'Negro' and 'black' have different connotations for both the white community and the black community. The term 'Negro' is more associated with past racist notions of inferred inferiority. 'Black' is more associated with pride and power in being black, and in black heritage as related to African ancestry. Black Power is concerned with organizing the rage of Black people and with putting new, hard questions and demands to White America. As we do this, White America's responses will be crucial to the questions of violence and viability. Black Power must (1) deal with the obviously growing alienation of black peOple and their distrust of the institutions of this society; (2) work to create new values and to build a new sense of community and belonging; and (3) work to establish legitimate new institu- tions that make participants, not recipients, out of a people traditionally excluded from the funda- mentally racist processes of this country (Hamilton, 1969, p. 126). The importance that terminology plays in the changing identity of blacks in this country has been suc- cinctly put by Killian and Grigg (1964): "at the present time, integration as a solution to the race problems demands that the Negro foreswear his identity as a Negro." Recent literature (Jordan, 1971a; Hamersma, 1969) points out that the black community has, as a whole, accepted and preferred the term 'black' as opposed to 'Negro.‘ The white community, however, has been slower in accepting this newer terminology, and many of the values that accompany it. The specific, experimental problem of this study was to assess the differing attitudinal dispositions that white college students associate with the word 'Negro' as opposed to the word 'black' in an attitude scale. Most attitude research has been of a theoretical nature. Studies point out what they feel attitude is composed of, but they rarely submit their theory to statistical analysis. The Jordan-Guttman system is an attempt to devise a definition of attitude that encompass both the semantic, theoretical analysis and the statistical structure underlying the definition. Jordan has eXpanded Guttman's three-facet, four-Level theory, into a five-facet, six-Level design, encompassing the old tripartite (Plato) scheme of analysis by dividing attitude into cognitive elements, affective elements, and conative elements. 13229 According to C. Eric Lincoln (1968) one result of the present black power struggle has been an attack on the word 'Negro.‘ Many black authorities consider this word as originating from the time of slavery in this country and insist on usage of the words 'black' or 'Afro—American.‘ The coordinator of the Afro-American History and Cultural Center of the New York City Board of Education, Keith Baird (cited in Lincoln, p. 132), stated that: "This is not a minor semantic dispute. It engages the emotions and intel- lect of a vast number of people, from Southern campuses to the corner of 125th Street and Seventh Avenue in Harlem (p. 132). Another scholar in black psychology, Fuller (cited in Lincoln, p. 133), saw the issue in terms of a generation gap: "those who are willing to accept the 'status quo' use the term 'Negro,‘ while those who seek improvement use 'black' or 'Afro-American.‘ Such organi- zations as the "National Association for the Advancement of Colored People" and journals such as "Negro Digest" are under much pressure to change their titles. M. R. Karenga stated the following concerning black identification: "Yesterday we thought we were Negroes. Today we know we are Black men but we still have some Negro hang-ups." He stressed the concept of culture giving people an identity, a purpose, and a direction; culture "tells us (blacks) who we are, what we must do, and how we can do it." Karenga saw 'Negroes' as imitating white culture for so long that they have begun to believe that it is their own (Lincoln, p. 10-11). Black Power advocates use the word 'black' for "black brothers and sisters who are emancipating themselves," while using the word 'Negro' contemptuously for Negroes "who are still in Whitey's bag and who still think of themselves as Negroes" (Bennett, 1967, p. 47). Anything except that odious word, 'Negro' which has such a ridiculous heritage of mockery. We were not dropped into America; we were forcibly dragged from Africa. So what else are we? Words are the greatest avenue of communication and much more reliable than signs. They are forceful symbols . . . Let us all rally around Afro-American. I think black has connotations of arrogance (J. Harden, 1968, p. 10). J. Leo of the New York Times saw the recent effort to find a more meaningful term beginning in the late 1950's when many black nations in Africa sought independence. As the myth of uncivilized Africa was corrected, the road was open for identification with these newly emerging nations (Lincoln, 1968). Williams and Kirkland (1971) differentiated between 'black' and 'Negro' thusly: To be Negro in America has certain meanings which need to be clarified here. Negroes are made and manufactured in the United States. The following descriptions are representative: The Negro is concerned with education for purposes of individual achievement; he wishes to become integrated or assimilated into the mainstream; he accepts white standards; he is materialistic; he accepts gradual- ism; he defines the problem as within the Negroes, not in the system. To be a black man in contemporary America has certain connotations regarding self-definition: The Black man sees education as a vehicle for social change; he believes group goals are more important than individual goals; nation building is vital to his survival; he selects leaders based on compe- tence, not status; he is pro-Black, not necessarily anti-White; he sets norms and defines goals in terms of self-determination; there is a sense of urgency about his goals (p. 115). R. Moore, in his book, The Name Negro Its Origin and Evil Use, stated that the word 'Negro' is so 'saturated with filth,‘ so 'polluted' with the white man's stereo- types, that "there is nothing to be done but to get rid of it" (Bennett, 1967, p. 54). To many, the term 'Negro' means the continuation of 'master-slave mentality' first perpetuated in the slave period in America. "They maintain that a change in name will short-circuit the stereotyped thinking patterns that undergrid the system of racism in America" (Bennett, 1967, p. 47). According to D. Edwards, assistant managing editor of the New York Amsterdam News, one of the largest black newspapers in America, young blacks especially are against continued use of the label 'Negro.' They often associate it with the oppression and slavery into which blacks were born, and the fact that this label was forced upon them involuntarily. The word is thought of in connection with "Uncle Tomism." 'Black' or 'African' is the preferred usage (Bennett, 1967). K. Baird felt that the identity crises blacks undergo in Americavnmsheightened by use of the designation 'Negro.' It helps promote the continued depressed economic and social status of blacks in America. As Baird stated: "Positive and enhancing self-regard is a psychological necessity of life, and the name borne by an individual or group can be an effective vehicle and symbol of group or individual self-regard" (Bennett, 1967, p. 52). 10 Language tends to prestructure both thinking and acting. Baird was concerned with the effect certain words have upon people: "A name can determine the nature of the response given to it by virtue of the associations which its use conjures up" (p. 52). Baird did not believe that a change in vocabulary would solve all racial problems but he feltijzcould make a significant difference in rela- tions between blacks and whites. "The very act and fact of changing the designation will cause the individual to be redesignated to be reconsidered, not only in terms of his past and his present but hopefully in terms of his future . . . Designation has an important bearing on destiny" (Bennett, 1967, p. 52). The word came into use, Baird says, in connection with the enslavement of the African in the New World. The use of the word became connected with what Earl Conrad has so well called the 'Negro-Concept,‘ that grotesque conception of the African which has been shaped in the mind of the European and forced with Procrustean cruelty on the person and person- ality of the black American (Bennett, 1967, p. 52). "Baird believed that the word, 'Afro-American,’ would soon supplant the word 'Negro.' He did not object to the term 'black,‘ which, he said, lacks the historical and cultural precision of the word 'Afro-American'" (Bennett, 1967, p. 54). A second author, R. Moore, supported Baird's philosophy. "Black," Moore stated, "is a loose color designation which is not connected with land, history and culture. While I (Moore) recognize it as a step 11 forward in getting rid of the term 'Negro,‘ I think it is necessary to take the next step" (p. 54). The word 'Negro' is of Portuguese and Spanish origin, dating back to the time of the African Slave Trade, where the term referred to those Africans captured and transported as slaves to the New World. "This word, which was not capitalized at first, fused not only humanity, nationality and place of origin but also certain white judgments about the inherent and irredeemable inferiority of the persons so designated"(Bennett, p. 48). Literate blacks of the time, preferred the terms 'African' and 'black' and resisted usage of the label 'Negro.' The first institutions and organizations begun in America by those of African origin carried African designations: "The Free African Society," "The African Methodist Epis- copal Church," "The African Baptist Church." The Free African Society was founded in Philadelphia in 1787. Its preamble began: "We, the Free Africans and their descen- dants of the city of Philadelphia in the state of Penn- sylvania or elsewhere . . ."(Bennett, p. 48). Further resistance to the term 'Negro' can be found in the 1868 Constitutional Convention of North Carolina. James Walker Hood, one of fifteen black dele- gates to that convention, expressed the belief that there were no 'Negroes' present at the convention. Further, he insisted "that the word 'Negro' had no significance as to 12 color, but could only be used in a reproachful or degrading sense"(Bennett, 1967, pp. 48-50). The present study was designed to test whether racial terminology, in particular 'black' versus 'Negro,' is related to the way in which white people perceive black people. Research on the Semantic Differential (Williams, 1964, 1966) suggested that the term 'black' has been given many negative connotations. It is unclear how much of the negative connotations attributed to the word 'black' gen- eralizes to the word 'Negro.' It would be useful to discover more of the underlying reasons as to why the two racial terms, 'black' and 'Negro,' elicit different "attitude-behaviors," if indeed they do. Since the data of this study was of a correlational nature, inference as to the direction of causality would not be feasible. One can formulate conclusions as to the importance of color labelling as eliciting more positive or more negative racial "attitude-behaviors" in college students. If the terms 'black' and 'Negro' do elicit different attitudes, the relationship between race labelling and racial attitudes would appear to merit further research. Valentine (1971) stated that for a white counselor to be successful with a black client, his client must be bi—cultural. Williams and Kirkland (1971) felt that this is less than ideal. White counselors work most successfully 13 with the 'Negro' part of the black client or the part that desires to be or become white, but cannot work with the part that is black or desires to become black. Before attempting to change attitudes, it is necessary to discover what attitudes exist and where they occur. Jordan (1970) felt that the value of such research lies in the possible contributions toward the understanding and conceptualizing of the determinants and facets underly- ing the attitude structure. According to Yuker (1965, p. 15), "an attitude can be defined as one type of pre- disposition toward behavior. Because this is so, by finding out what a person's attitudes are, we can gain information that will help us both to understand and to predict a person's behavior." Mehrens and Lehmann (1968) stated that attitudes are learned and because of this can be changed if it becomes necessary. However, before this process of change can occur, it is necessary to discover the present status and existence of the attitudes. The need for the study of racial attitudes in our society is not only obvious, but imperative. Behavior of blacks and whites toward each other in this country has reached the point of callousness and the height of ridicu- lousness. It is no longer excusable, in the opinion of this author, to allow even one 'ounce' of racist behavior to go unchallenged. Efforts must be made to combat racism in every institution and at every level in this 14 society. We must abhor and combat prejudice and racism within our society and within ourselves until it becomes only a vestige of a once-dreamt nightmare. Need for research in the area of attitudes is of paramount importance at this time. Jordan's use of facet analysis is an attempt to find a system that will facetize attitude into its semantic and structural components. Many studies have analyzed and defined attitude and delved into the theory behind the concept. Since the time of Plato (Allport, 1954), attitude has traditionally been divided into three separate areas: thinking, feeling, and acting (cognitive, affection, and conation). This tripartite scheme has continued to the present time. As theories of attitude were being formed, so was the statistical branch of psychology. The factor analytic methods owe their beginning to early Greek quantitative methods and development of the scientific method. Research and expansion of factor analysis was continued by Thurstone (1935, 1947) and Spearman (1927, 1951). R. B. Cattell (1952, 1964) was the first psychologist to apply factor analytic methodology to analysis of personality theory. Guttman (1944, 1953b, 1958) began the use of facet analysis, a technique similar to the traditional factor analysis of Thurstone and Spearman, but clearly distinct from it. Guttman (1950a) had operationally defined attitude as "a delimited totality of behavior with respect 15 to something" (p. 51). Jordan (1971a) used this definition to link attitude and behavior, in his attempt at construc— ting attitude scales that will measure "attitude-behaviors" on six levels. Jordan's theory combines a modification of Guttman's (1959) three-facet, four-Level system with theo- retical notions of "attitude—behavior“ consistent with the cognitive-affective-conative analysis dating back to early Greek philosophy. Purpose The purpose of this dissertation is two-fold. The first is to find out whether the two terms 'black' and 'Negro' are indeed associated with differing "attitude- behaviors" in white college students. The ABS is a measure of attitude-behavior along a cognitive-affective-conative trichotomy. The present study is designed to test whether the two terms, 'black' and 'Negro,' elicit different "attitude-behaviors" as measured by the ABS/WN-B. It was hypothesized that the "ABS toward Negroes" will elicit more positive "attitude-behaviors" than the "ABS toward blacks." The Semantic Differential was used as a second measure of attitudes. It was hypothesized that students would respond more positively to the word 'Negro' on a Semantic Differential than they would to the word 'black.‘ 16 The purpose of this study was to find out whether or not the word 'Negro' elicited more positive responses on these two measures of 'attitude' than the word 'black.‘ The second, and perhaps more encompassing purpose, was to review the theory behind the Attitude Behavior Scale to give the present author a better understanding of a system that may eventually help promote and uncover a meaningful definition and measurement of attitude. Through the definition of attitude by the method of facet analysis, it is hoped that the realm of attitude can then be compre- hended sufficiently well that attitude change can be pre— dicted and "controlled." This "prediction and control" will hopefully be used to help people understand why certain of their behaviors are harmful not only to others, but to them- selves as well. Definitions Guttman (1950a,p. 51) defined attitude as a delimited totality of behavior with respect to something." An attitude is not merely a "predisposition to behavior," as previous researchers have claimed (Allport, 1935) but is also the behavior with respect to the attitude object. Jordan (l971a,pp. 6-7) agreed with Guttman's (1950a) definition of attitude, stating that it "is consonant with a structural or facet theory approach to the study of attitudes and behavior"; Jordan used the hyphenated term 17 "attitude-behavior" to denote his conception of attitude as 'behavior.' Throughout this study, attitude will be conceived of in this manner, as "attitude—behavior." When 'attitude' or 'behavior' is mentioned, it should be noted that the term is referring to the totality of attitudes and behaviors, taken as a single, unitary concept, unless otherwise stated. Hypotheses H-l: Whites taking the "ABS toward blacks" will have significantly more negative attitudes than whites taking the "ABS toward Negroes." H-2: The attitude data from the sample will form a Guttman simplex. H-3: There is a positive relationship between a high efficacy score and positive attitudes on the ABS. H-4: Subjects taking the Semantic Differential will give the concept 'Negro person' a significantly higher rating on the 'evalua- tion' dimension of the Semantic Differential than the concept 'black person.‘ H-5: Subjects taking the Semantic Differential will give the concept 'black person' a sig- nificantly higher rating on the 'potency' dimension of the Semantic Differential than the concept 'Negro person.‘ H—6: Subjects taking the Semantic Differential will give the concept 'black person' a sig- nificantly higher rating on the 'activity' dimension of the Semantic Differential than the concept 'Negro person.’ H-7: A higher efficacy score on the ABS will be correlated with more positive scores on the 'evaluation' dimension of the Semantic Differential for the concepts 'friend,’ 'black person,‘ 'white person,‘ 'Negro person,‘ and more negative scores for the concept 'enemy.‘ 18 H-8: There will be a positive relationship between high scores on the 'evaluation' dimension of the concepts 'black person' and 'Negro person' of the Semantic Differential and positive scores on the ABS. H-9: There will be no significant correlations between high scores on the 'potency' dimension of the concepts 'black person' and 'Negro person' of the Semantic Differential and posi- tive attitudes on the ABS. H-lO: There will be no significant correlations between high scores on the 'activity'dimen- sion of the concepts 'black person'and 'Negro person' of the Semantic Differential and posi— tive attitudes on the ABS. Organization of the Thesis Chapter I serves as an introduction to the thesis. It includes a statement of the problem, the need, and the purpose of the study. Also included within this first chapter is a brief section of definitions and the hypotheses tested. An extensive review of Guttman-Jordan facet design, tracing it back to its origin, comprises Chapter II. Chapters III and IV review the relevant literature in the. areas of race relations between black and white persons, and the Semantic Differential as it relates to race and color, respectively. The general methodology used in studies dealing with the Attitude Behavior Scale is discussed in Chapter V. Chapter VI refers to the specific design and methodology of the present study. The data and results are analyzed in Chapter VII, while Chapter VIII includes summary material, recommendations for futher research, and conclu- sions of the study. CHAPTER II HISTORICAL ANTECEDENTS OF FACET THEORY AS IT RELATES TO GUTTMAN-JORDAN METHODOLOGY Biological scientists agree that all men belong to one species, homo sapiens ("wise man"). If Arthur Koestler and others are correct in suggesting that man may prove to be an evolutionary mistake, man's choice of a name for his species will seem to have been not only immodest (see Pettigrew, 1964, p. 59) but most inappropriate. This, however, is a judg- ment that the future will have to render (E. E. Baughman, 1971, p. 2). In order to understand the methodological and psy- chological aspects of attitude research as related to human behavior, it is beneficial to trace the historical develop- ment of scaling techniques and attitude research from its origin. This analysis will concentrate on those develop- ments important and crucial to methodology used by both Louis Guttman in facet analysis (1959) and John E. Jordan (1971a) in his research on attitude-behaviors toward various attitude objects. To understand behavior, scientists throughout his- tory have employed various techniques to categorize human actions, beliefs, and thoughts and a number of techniques have been developed by which behavior can be observed and described. These methods can be classified into three 19 20 general categories. Observation is concerned with viewing, description, and analysis of individual and group behavior. This approach can be found in early anthropological and sociological research studies, and it is still employed today. In the second technique, that of self-report, the subject reports to the researcher what he is feeling, thinking, or believing, and/or what he has actually done. The verbalizations are then classified, and from these categorizations, an attempt is made to analyze behavior. This technique is still employed in areas of psychology such as psychoanalysis, Gestalt psychology, and existen- tialism. A third technique which can be employed is that of measuring behavior through some external, methodological tool. Jordan's (1970, 1971a, 1971b) attitude-behavior research and his development of the series of Attitude- Behavior Scales is a combination of the second and third techniques. The Attitude-Behavior Scale is a self-report instrument, attempting to measure an individual's thoughts, feelings, and overt behavior. It is an attempt to define attitude-behavior,l first through categorization and des- cription and second through quantification, measurement, and prediction of behavior. 1"Two basic views permeate the literature on atti- tude research; one defining attitude as a 'predisposition to behavior', and the second emphasizing attitude as 'behavior.'" Jordan (l97la), however, believes that attitudes and behaviors are not separate or disparate 21 The present analysis is concerned with the methodo- logical and theoretical construction and analysis of con- ceptions related to attitude-behavior. A current and pro- lific research endeavor in the area of scaling and attitude research has been that of Guttman's facetized design and scaling methodology as well as Jordan's attitude-behavior scale analysis. This chapter traces the historical and theoretical development of statistical innovations and psychological interpretations and explanations of attitude- behavior. Early Foundations of Attitude- Behavior Research The early Greek philosophers laid the basic founda- tion for what was eventually to become the 'scientific method.‘ The cosmologists were the earliest known group of thinkers who attempted to explain the environment that surrounded them; their explanations revolved around under- standing through animism, myth, and magic. According to Hutten (1962), "Science begins with Thales . . . he exemp- lifies the scientist who makes a bold, unifying hypothesis but whose imagination is kept in bounds by a respect for reality" (p. 57). The beginnings of the movement away entities, but are varying points along the same variable; hence, he used the hyphenated term, attitude-behavior, to connote a synthesizing of what is usually considered two separate and distinct entities. The new usage was partly derived from Guttman's (1950a,p. 51) definition of atti- tude, as a "delimited totality of behavior with respect to something" (Jordan, 1971a, p. 7). 22 from mythical explanations of the world toward more scien- tific, naturalistic observation can be attributed to the time of this early Greek philoSOpher-scientist, Thales. The most extensive reaction to the magic and mythical interpretations of the cosmologists was that of the Sophists. The beginnings of empirical research date back to the Greek Sophist movement during the Golden Age of Greek civiliza- tion: 461-431 B.C. They desired to study the individual and his culture in a practical, concrete manner; they used the empirical-deductive method as their main technique of investigation. With this theoretical development, eXplana- tions of human behavior became more observational and empirical, replacing many of the past mythical notions and conceptions. According to Zeller (1881), however, the scientific method cannot be credited specifically to Sophist philosophy; their importance lies in breaking with the cosmological explanation of the universe, which was based on myth and religious foundations. Although the Sophists questioned mythical conceptions, they did not systematically use objective and empirical analysis. The Sophists prepared the ground for the zeitgeist of scientific and philosophical thought, that would permit the development of methodological techniques and theoretical views through which the evolution of the scientific method could be developed. 23 . . . for its purpose the Sophist movement was not to guarantee objective knowledge, but only subjec- tive readiness of thought and practical versatility. This form of culture is tied to no scientific system and principle, its distinctive character appears far more in the ease with which it takes from the most various theories whatever may be useful for its temporary purpose; and for this reason it propa- gates itself not in separate and exclusive schools, but in a freer manner, by mental infection of different kinds (Zeller, 1881, p. 514). Stace (1967) interpreted this period of Greek development as a time when the Sophists undermined and des- troyed the beliefs in the classical interpretation of the universe according to the cosmologists, and prepared the way for such new interpretations of the weltanschauung of Socrates, Aristotle, Archimedes, and others. It was Aristotle who attempted to catalogue knowledge in a system- atic form. Archimedes "anticipated the modern modes of scientific thinking in his way of dealing with general principles of nature" (Boring, 1950, p. 6). Thus, the later Greeks, successors of earlier Greek contributors, began the movement toward measurement and evaluation of the surround- ing environment through quantitative methods. Modern quantitative methodology dates back to the four basic stages in the scientific method, developed by the Greeks: (a) naturalistic observation, (b) classifica- tion and analysis of natural phenomena into meaningful descriptive categories, (c) formulation of hypotheses of cause and effect based on such analyses, and (d) the value of quantitative methodology. The Greeks extended their 24 studies into what can be considered the first applications of experimental hypothesis testing and critical observa- tion. "It is to the great credit of these ancient peOple that they were able to develop what in essence amounts to a sophisticated scientific methodology more than 2,000 years ago" (Chaplin and Krawiec, 1968, p. 17). The methods of critical observation were prevalent in the West in the Thirteenth Century with the rediscovery of Aristotle (Crombie, 1952). The early British and German scientists in the Eighteenth Century greatly enhanced and improved on these first attempts at scientific methodology and experi- mentation. Early_Experimental Research! Theory and Development: British Empiricism and German Experimentalism In search for the first experimentation that cul- minated with the eventual development of a systematic and methodological study of attitudes, the importance of early Greek thinking has been noted. The next prominant develop- ment in the trend that would eventuate in modern scaling techniques involved British Empiricism. This school was heavily steeped in the empirical tradition; the principle of association, first seen in Aristotelian notions, was extended by the empiricists. The general law of association, first stated by early Greek philoSOphers, was taken up by Hobbes and Locke in the Seventeenth Century and rediscovered years later by Hartley: 25 The general law of association is that if sensa- tions have often been experienced together, the corresponding ideas will tend to occur together; if A has been associated with B, C, and D in sensory experience, the sensory experience A, occurring alone, will tend to arouse the ideas of B, C, and D, which accompanied it (Heidbreder, 1933, p. 54). This law laid the foundation for what was later formulated by Guttman (1959) as the 'contiguity hypothesis.‘ AS will be seen, Guttman's hypothesis consisted essentially of a modification and reformulation of this associationistic principle applied to different realms of science, in par- ticular that of intellectual ability and attitude research. In Nineteenth Century Germany, new developments and theories were introduced into the scientific stream of thought which would permit the kind of research developed by Guttman (1959) and Jordan (l971a). The fountainhead of the mathematical and statistical developments in German psychology can be traced to Kantian philosophy. Kant's (Peters, 1962) first crucial contribution to the German tradition of psychology, was to explicate the methods and techniques of science; his second contribution "was his contention that science is characterized by mathematical as well as by empirical description. His celebrated fusion of the empirical standpoint of Hume with the rationalist standpoint of Wolff involved the aphorism that an empirical inquiry is as scientific as it contains mathematics" (p. 533). According to Brett, (Peters, 1962) Kant molded 26 and directed psychology into the area of measurement which stimulated and enhanced the development of statistical and mathematical models. Two basic trends in psychology emerged at this time; statistical-empirical on the one hand, and introspective- action on the other. The beginning of the statistical and mathematical approach to attitude measurement began with these early German experimentalist and British empiricist contributions. The concepts of Kant served as the corner- stone to the whole school of experimental psychology in that these researchers began to employ measurement and methodolo- gical techniques. In close parallel to Kant was the eXperi— mentalist, Herbart, who not only tried to formulate mathe- matically precise laws of consciousness, but evolved tech- niques whereby psychology, as a science, could employ the mathematical model (Peters, 1962). The experimental tradition continued with the work of Weber (Chaplin and Krawiec, 1968), who served as a link between the first early attempts at experimental investi- gation and the beginning of experimental work in the field of psychology that lead to eventual application of these early mathematical techniques to the era of scaling and attitude research. The first major application of this new scientific methodology in the area of scaling and atti- tude research, was undertaken by Fechner. According to Chaplin and Krawiec (1968, p. 40), his "methods have stood 27 the test of time to become fundamental procedures in psycho- physical measurements, mental testing, and attitude scaling . . ." Unlike Kant, Fechner was not a strict methodologist; he had a humanistic philOSOphical bent along with his mathe- matical and scientific interest. His significance lies in the fact that he applied rigorous methods to practical, everyday functioning. This is the crux of attitude research today - to be able to make statements about behavior and behavioral change, but at the same time to be able to make these statements with some degree of validity and reliabil- ity to relevant public concerns. According to Brett (Peters, 1962, p. 534) "the main function of measurement in science is surely to facilitate the testing of hypotheses by expressing them more exactly. Quantitative techniques enable scientists to answer precisely questions unearthed by cruder qualitative methods." This was what Fechner (Peters, 1962) attempted to do, and also what Guttman and Jordan are attempting a century and a half later. Both these attempts have employed rigorous scientific methods to understand human thought and behavior. As Brett (Peters, 1962, p. 534) has pointed out: there is little point in going round measuring unless the object of devising such measuring techniques is the testing of interesting hypotheses. Measurement by itself does not produce scientific hypotheses any more than do laboratories or grants for research . . . The advance of science depends upon the development of imaginative assumptions as well as upon exact techniques for testing them. 28 The next crucial step in the development of the psychological measurement of attitudes is found in the con- tribution of Wundt (Boring, 1950), considered the founder of psychology as a formal discipline. Wundt laid the foundation for modern experimental psychology. His use of experimental observation and analysis for understanding mental phenomena was the culmination of the trend begun by Weber and Fechner to utilize physiological and physical methods in psychological investigation. Wundt provided an impetus for a new type of psy- chology: that of the 'new' psychology of content, other- wise understood as structural psychology. "He provided for the new psychology its structure and form, its self-conscious- ness, its name, its first formal laboratory, its first experimental journal, as well as the systematic pattern with respect to which the experiments could be formulated and given their significance" (Boring, 1950, p. 334). The 'new' psychology of content can be considered introspective, sensationistic, elementistic, and associa- tionistic. Consciousness was its subject matter; therefore, it was intrOSpective. The nature of consciousness was revealed through sensation - thus the 'new' psychology was of a mental chemistry. Sensations, images, and feelings were thought to be the elements making up the compounds of mental thought. Lastly, because association was the very principle of compounding, the 'new' psychology was 29 associationistic. The British Empiricists had previously shown how perceptions and meaning can be obtained through an association of various parts. This was the early law of association postulated by Hobbes and Locke; its basic conception was carried through psychological thought and is seen in Guttman's (1959) 'law of contiguity' (Chaplin and Krawiec, 1968). Titchener (Peters, 1962), a strict student of Wundt's, brought this 'new' psychology to America in the form of Structuralism. The idea and practice of rigorous analysis was carried through in psychology, thus making psychology more scientific and respected by the physical sciences. Titchener tightened the theory and experimenta- tion of Wundt, while stressing the concept of 'structor' by adding a new element, affective states, to the existing states of sensations and images. These three elements, Titchener utilized in classifying what he perceived as conscious thought. All varied and complex mental processes were derived from these three elements and their attributes of quality, intensity, and duration. Titchener's structural- ism gave psychology a more strict, rigorous scientific flavor, that aided in the development of more exacting measurement techniques, necessary for the birth and matu- ration of attitude research. 30 The Development of Quantitative Psychology John Graunt can be considered the first statistician and the founder of statistics. In 1662, he published a demographic analysis of plague deaths in London, perhaps the first attempt to interpret biological and social phenomena from quantitative data. His book, Natural and Political Observations Made Upon the Bills of Mortality, was well accepted as an important study of vital statistics; was published and revised several times by Graunt; and was published and enlarged by Sir William Petty after Graunt's death. Quetelet, a Belgian astronomer, made one of the first successful attempts to apply statistical methods to data involving human biological and social functioning. In discussing human variability along certain variables, Quetelet described the significance of the normal curve distribution (Boring, 1950; Chaplin and Krawiec, 1968). Galton used the work of Quetelet in developing various methods of statistical analysis, such as the median, standard score, and correlation technique. "The modern techniques for establishing the validity and reliability of tests, as well as the various factor analytic methods, are direct outgrowths of Galton's discovery" (Chaplin and Krawiec, 1968, p. 516). Galton was the first to formulate the statistical tool of 'coefficient of correlation.‘ With Dickson, Galton published a paper in 1866 describing 31 what they called the 'index of co-relation.‘ Soon there- after, it was renamed 'Galton's function,‘ and eventually, in 1892, was changed to its present name, 'coefficient of correlation'--symbolized by 'r'—-(Boring, 1950, p. 479). The mathematical foundation of correlation can be credited to the mathematician, Karl Pearson. In 1896, Pearson used correlation in solving problems posed by mathe- matical research in psychology and biology. Biometrika was founded by Pearson, Galton, and Weldon in 1901. Both Pearson and Galton, working together much of the time, established statistical methods as a fundamental technique for the investigation of psychological problems (Boring, 1950). Just after these innovations, Spearman developed a two-factor theory of human intellectual functioning based on these newly discovered methods of correlation. The two-factor theory interpreted intelligence as containing a basic overall component, the general (G) factor, common for all intellectual skills and activities, and several specific (31, s .) factors, which varied for different 2 . . skills and tasks of intelligence. In 1912, along with Hart, Spearman devised a correlation matrix hierarchy for these factors (Boring, 1950). This factor analytic work, plus the advancements made especially by Thurstone have culminated in Guttman's faceted definition of intellectual ability and attitudes (Jordan, 1972b). 32 "We may note the line of descent for factor analysis, noting only the prominant ancestors: Laplace - Quetelet - Galton - Pearson - Spearman - Thomson - Garnett - Burt - Thurstone" (Boring, 1950, p. 481). Although not an adher- ent to factor analytic methods, Guttman (1948) used much of the research advanced by the factor analysts. Their dis- coveries in factor analysis and correlation matrix hier- archies "laid the groundwork" for Guttman's facet theory and structural analysis procedures such as the simplex. Factor analysis is a method for analyzing a set of intercorrelated performances into as many independently variable factors as justify the labor of computation. Each factor is defined by the degree to which it participates in each of the various original perfor— mances. You get the most important factor analyzed first, and presently you stop with some residuals that are too small to merit consideration. This technic is used mostly with mental tests and is not appropriate when the problem-situation can be separated in advance into various parameters which are subject to independent eXperimental control and variation (Boring, 1950, p. 481). At this last stage of separating the problem-situation in advance into various parameters which are subject to inde- pendent experimental control and variation, Guttman departed from factor analysis by using facet methodology for ex- ploring underlying 'dimensions.‘ The concept of hierarchical correlation as applied to intelligence was influential in psychological research around the turn of the century. Burt (1909) published one of the first studies utilizing a hierarchy of correlation coefficients. He stressed the belief that well measured 33 and controlled, applied data could provide just as sound or even superior hierarchical coefficients of correlation than theoretical data did. Spearman (1927) believed that a good fit could be obtained only from theoretical coefficients; Burt, however, attempted to prove that it was possible to demonstrate a sound hierarchy of coefficients through applied, well-controlled measurable data (see Tables 1 and 2). In a discussion of hierarchies, Burt stated the follow— ing concerning Spearman: "Dr. Spearman and Prof. Krueger imply that satisfactory hierarchies are exhibited only by the 'pure' or theoretical coefficients, but it appears that those based on amalgamated measurements are better than those based on theoretical 'correlation', if the experimental are carefully controlled" (Burt, 1909, p. 163). The corre- lations do not fit the proposed scheme with perfect pre- cision and cannot be expected to because like all empirical observations they are subject to error. The concept of hierarchical correlation was used by several psychological researchers: (Peterson, 1908; Stockton, 1921; Herring, 1921). Peterson employed (Table 3) the statistical concept of hierarchical correlations in his five-level table of intellectual ability (Spearman and Jones, 1951). During the early 1900's, statistical and psycho- logical research and theory began noting the importance of correlation coefficients and hierarchical analysis; however, 3&1 TABLE l.--Hierarchy of Coefficients (Amalgamated Series).a (A) Elementary School. m 2 a. 3. c\u w m 'u-« o c o 52 43 .5 s: .5 3.5 s .0 m 2 a z u m n u s m H u u a. u c o o m u Q a u o.u m o u a. u s c 5 g -H on. H o E: a) 0.60 a: --4 o «a O (D o d < m H H D m a e z m A 9 2 3 Dotting Observed coefficient - 77 67 60 69 57 57 50 52 48 38 20 16 Apparatus Theoretical value -- 80 73 72 72 67 63 49 45 33 28 27 05 Deviation -- 03 06 12 03 10 06 01 07 15 10 07 ll P.e. of coefficient -- 05 07 O8 O6 O8 08 09 09 09 11 12 12 Alphabet Observed coefficient 77 -- 74 61 66 59 54 29 52 16 62 31 07 Theoretical value 80 -- 69 69 69 65 6O 46 43 32 26 25 05 Deviation 03 -- 05 08 O3 06 06 17 O9 16 36 06 02 P.e. of coefficient 05 -- 06 08 07 08 09 11 09 12 07. 10 12 Sorting Observed coefficient 67 74 -- 52 72 45 61 34 52 14 22 19 23 Theoretical value 73 69 -- 62 61 59 54 42 39 28 24 23 04 Deviation 06 05 -- 10 ll l4 13 08 13 14 02 04 19 P.e. of coefficient 07 O6 -- O9 06 10 08 11 09 12 ll 10 19 Imputed Observed coefficient 60 61 52 -— 44 76 47 67 4O 29 13 57 -13 Intelli- Theoretical value 72 69 62 -- 69 58 53 41 39 28 23 23 04 gence Deviation 12 08 10 -- 16 18 06 26 01 01 10 34 17 P.e. of coefficient 08 08 O9 -- 10 05 10 07 10 08 12 08 12 Dealing Observed coefficient 69 66 72 44 -- 76 47 67 40 29 13 S7 -13 Theoretical value 72 69 61 60 -- 58 53 41 39 28 23 23 04 Deviation O3 02 11 16 —- 07 12 01 05 19 00 04 03 P.e. of coefficient 06 07 O6 O9 -- 10 07 11 12 10 ll 12 12 Spot Observed coefficient 57 59 45 76 51 -- 41 41 47 25 63 26 11 Pattern Theoretical value 67 65 59 58 58 -- 48 37 35 35 26 21 04 Deviation 10 06 14 16 07 -- 07 04 12 01 18 05 07 P.e. of coefficient 08 08 09 05 09 -- 10 10 10 ll 12 ll 12 Tapping Observed coefficient 57 53 61 47 65 41 -- 41 47 08 26 -05 22 Theoretical value 63 6O 54 53 53 48 -- 36 34 25 20 20 04 Deviation O6 O6 O7 08 12 O7 -- 05 13 18 06 25 18 P.e. of coefficient 08 O9 08 10 08 10 -- 10 10 12 11 12 12 Mirror Observed coefficient 50 29 34 67 40 45 45 -- 34 16 08 05 -05 Theoretical value 49 46 42 41 41 37 36 -- 25 19 15 15 03 Deviation 01 17 08 26 01 04 05 -- 09 03 07 10 O8 P.e. of coefficient 09 11 11 17 10 10 10 -- 10 12 12 12 12 Sound Observed coefficient 52 52 52 4O 34 47 47 34 -- -O7 -01 01 -13 Theoretical value 45 43 39 39 39 35 34 25 -- 17 14 14 02 Deviation 07 09 13 01 05 12 13 09 -- 24 15 13 15 P.e. of coefficient 09 09 09 10 17 10 10 12 -- 12 13 12 12 Lines Observed coefficient 48 16 14 29 47 25 08 16 -07 -- 26 06 19 Theoretical value 33 32 28 28 28 26 26 25 17 -- 10 10 02 Deviation 15 16 14 01 19 01 17 03 24 -- 16 04 17 P.e. of coefficient 09 12 12 08 10 11 12 12 12 -- 11 12 12 Touch Observed coefficient 38 62 22 13 23 O3 26 08 -Ol 26 -- 16 29 Theoretical value 28 26 24 23 23 21 20 15 14 10 -- 08 01 Deviation 10 36 02 10 00 18 O6 07 15 16 -- 08 28 P.e. of coefficient 11 O7 12 12 12 12 11 12 12 11 -- 12 11 Memory Observed coefficient 20 31 19 57 19 26 -05 05 01 O6 16 -- 05 Theoretical value 27 25 23 23 23 21 20 15 12 10 18 -- 01 Deviation 07 06 04 34 04 05 25 10 13 04 08 -- 04 P.e. of coefficient 12 10 11 10 12 11 12 12 12 12 12 -- 12 Weight Observed coefficient 16 07 23 -13 01 11 22 -05 -13 19 29 05 -- Theoretical value 05 05 04 O4 04 O4 04 O4 03 03 01 01 -- Deviation 11 02 19 17 03 17 18 08 15 17 28 04 -- P.e. of coefficient 12 12 12 12 12 12 11 12 12 12 11 12 -- Average deviation = .100. Average p.e. = .101. aFrom Burt (1909, p. 161). TABLE 2.~~Hierarchy of Coefficients 35 (Amalgamated Series).a (B) Preparatory School. 8 a, 5 cxs E ro-S c cu m m .52 a 3: a a :5 .2 . u. z c .5 sea a}: t: 2 3:: s: ‘d 5 2 .9: a z: o a a E c -a o a m m o o -a w o m 0:: 4 HH 5: 2 m0. 6* m U) s-l 3 B Q Dotting Observed coefficient ~~ 84 84 71 69 62 48 73 48 25 O7 03 ~03 Apparatus Theoretical value -~ 85 80 76 70 66 66 60 48 39 1 ~07 ~13 Deviation ~~ 01 04 05 01 04 16 13 00 14 07 10 10 P.e. of coefficient ~~ 06 06 10 12 12 16 10 16 19 20 2O 20 Alphabet Observed coefficient 84 -~ 80 48 84 67 57 76 34 22 ~14 ~28 45 Theoretical value 85 ~~ 78 74 68 64 64 58 51 37 14 ~07 ~12 Deviation 01 ~~ 02 26 16 03 07 18 17 15 28 21 57 P.e. of coefficient 06 -~ O7 16 06 15 14 O9 l8 19 20' 19 16 Imputed Observed coefficient 84 80 ~- 54 78 75 43 56 37 17 ~19 ~06 29 Intelli- Theoretical value 80 78 ~— 70 64 60 6O 55 44 35 13 ~06 ~12 gence Deviation O4 02 ~~ 16 14 15 17 Ol 07 18 32 00 41 P.e. of coefficient 06 07 ~~ 14 O8 O9 16 14 17 2O 19 20 18 Mirror Observed coefficient 71 48 54 ~~ 43 38 75 34 57 54 44 31 ~44 Theoretical value 76 74 70 -~ 61 58 57 52 42 34 12 ~06 ~11 Deviation 05 26 16 ~- 18 20 18 18 15 20 32 37 33 P.e. of coefficient 10 l6 l4 ~~ 16 17 09 18 14 14 16 18 16 Memory Observed coefficient 69 84 78 43 ~- 74 54 64 17 28 ~05 ~35 03 Theoretical value 70 68 64 61 ~- 53 53 48 39 31 11 ~06 ~10 Deviation 01 16 l4 18 -~ 21 01 16 22 O3 16 29 13 P.e. of coefficient 11 16 18 16 ~~ O9 14 11 20 19 20 18 20 Spot Observed coefficient 62 67 65 38 74 ~~ 38 51 25 34 07 ~44 19 Pattern Theoretical value 66 64 60 58 53 ~~ 50 45 36 29 11 ~05 ~10 Deviation O4 O3 15 20 21 ~~ 12 08 ll 05 O4 39 29 P.e. of coefficient 12 15 O9 17 09 ~- 17 15 19 18 20 16 19 Tapping Observed coefficient 48 57 43 75 54 38 ~~ 48 28 44 34 07 ~31 Theoretical value 66 64 60 57 53 50 ~- 45 36 29 11 ~05 ~09 Deviation 16 O7 17 18 01 12 ~~ 03 08 15 23 12 22 P.e. of coefficient 16 14 16 O9 14 17 ~~ 16 19 17 18 20 19 Sorting Observed coefficient 73 76 56 34 64 51 48 -- 38 00 ~22 ~14 02 Theoretical value 60 58 55 52 48 45 45 ~~ 33 27 10 ~05 ~09 Deviation 13 18 01 18 16 O6 03 -~ 05 27 32 09 ll P.e. of coefficient 09 08 14 18 11 15 16 ~~ 17 20 19 16 20 Sound Observed coefficient 48 34 37 57 17 25 28 38 -- 07 34 17 ~17 Theoretical value 48 51 44 42 39 36 36 33 ~~ 21 08 ~04 ~07 Deviation 00 17 O7 15 22 11 08 05 ~~ 14 26 21 10 P.e. of coefficient 16 18 17 14 20 19 19 17 ~~ 20 19 20 20 Lines Observed coefficient 25 22 17 54 28 34 44 00 07 ~~ 35 19 ~13 Theoretical value 39 37 35 34 31 29 29 27 21 ~~ 06 ~03 ~06 Deviation 14 15 18 20 03 05 15 27 14 ~~ 29 22 O7 P.e. of coefficient 19 19 20 l4 19 18 17 20 20 ~~ 18 19 20 Weight Observed coefficient 07 ~14 ~10 44 ~05 O7 34 ~22 34 35 ~~ 38 ~35 Theoretical value 14 14 13 12 ll 11 ll 10 08 06 ~~ ~01 ~02 Deviation 07 28 32 32 16 04 23 32 26 29 ~~ 39 33 P.e. of coefficient 20 20 19 16 20 20 18 19 19 18 ~~ 17 18 Touch Observed coefficient 03 ~28 ~06 31 ~35 ~44 07 ~14 17 19 38 ~~ ~48 Theoretical value ~07 ~07 ~06 ~06 ~06 ~05 ~05 ~05 ~04 ~03 ~01 -- 01 Deviation 10 21 00 37 29 39 12 09 21 22 39 ~~ 49 P.e. of coefficient 20 19 20 18 18 16 20 16 20 19 17 ~- 15 Dealing Observed coefficient ~03 45 29 ~44 03 19 ~31 02 ~17 ~13 ~35 ~48 ~~ Theoretical value ~13 ~12 ~12 ~11 ~10 ~10 ~09 ~09 ~07 ~06 02 01 ~- Deviation 10 57 41 33 13 29 22 11 10 07 33 49 ~- P.e. of coefficient 20 16 18 16 20 19 19 20 20 20 18 15 ~- Average deviation = .165. Average p.e. = .162. aFrom Burt (1909, p. 162). 36 TABLE 3.~~ Correlations of Petersona Nature of Tests 1 2 3 4 5 Reasoning ~~ .95 .83 .40 .45 Generalization .95 ~~ .86 .40 .28 Abstract thought .83 .86 ~~ .64 .48 Memory .40 .40 .64 ~- .31 Accuracy .45 .28 .48 .31 ~- aFrom Spearman and Jones (1951, p. 64). these techniques would not gain prominance in the field of attitude research until the early 1950's. Until statistical theory and measuring techniques could be developed, and practical use made of sampling methods, ordering of data, and sampling error, further development of the hierarchy or 'order' concept could not be undertaken. "Spearman differed from other intelligence testers in trying to generalize the methods of factor analysis, which had a practical origin, to the field of genera1 psy- chological theory" (Peters, 1962, p. 734). Because of Spearman's attempts to apply his research to fields other than mental abilities, he has become extremely crucial and relevant in the area of attitude research. "The statistical approach of the Spearman School has also been applied to the measurement of personality traits, attitudes, and values" (Peters, p. 736). McDonnel (1927, cited in Peters) employed these methods in studying bodily dimensions; Gates (1927, cited in Peters) used them in a study of various physical 37 traits. In evaluating and diagnosing personality traits and clusters, Eysenck relied on the statistical innovations of Spearman (Peters, 1962). These correlational techniques were also important in Adorno, Frenkel-Brunswik, Levinson, and Sandford's work on The Authoritarian Personality, and in Murray's Explora- tions in Personality (Peters, 1962). Guttman (1958) credited Spearman as being one of the forerunners to facet theory analysis. Spearman postulated that "the mentally presenting of any two characters tends to evoke a knowing of the correlative characters" (Peters, p. 735). Basically, this was a restatement of Locke's principles; the basic notion of contiguity will later be seen in Guttman's work. Although Spearman's laws were perhaps of questionable value, it was his contributions to the conception of concomitant variation between factors that became significant to the field of psychology. "The discovery of concomitant varia- tions is the beginning of the establishment of scientific laws or relations of functional dependence between variables" (Peters, p. 736). John Stuart Mill dealt with the issue of concomitant variation between factors on a philosophical basis before Spearman. According to Cattell (1952), the birth of multi- factor analysis began with Spearman, who was the first to 1Personal communication with Dr. Maryellen McSweeney, College of Education, Michigan State University, Oct. 5, 1972. 38 develop theorems in factor analysis in his work with the concept of intelligence as a single-factor theory. Spear- man's hierarchical arrangement involved the entire matrix; all adjoining columns in the matrix were proportional. This is illustrated in Table 4, "Correlation Matrices with Variables in Hierarchical Order." TABLE 4.--Correlation Matrices with Variables in Hierarchical Ordera V6 V1 V4 V5 V3 V2 V3 V7 V6 V1 .90 V2 .82 .75 V3 .73 .61 .58 V4 .51 .49. .43 .36 V5 .43 .30 .25 .22 .18 V6 .31 .27 .21 .15 .11 .09 V7 .24 .15 .12 .10 .08 .06 .05 aFrom Cattell (1952, p. 49). Thurstone modified Spearman's theory by introducing the concept of the existence of many factors instead of solely one as Spearman had postulated. Multifactor analysis involved the hypothesizing of the existence of several common factors from a set of correlations. This analysis (also called tetrad difference) enabled the researcher to examine many dimensions of the variable and analyze the relations of the factors to each other at one time, and 39 replaced previous analysis that had to be undertaken on one factor at a time (Cattell, 1952). It was necessary for Spearman (1927) in his early research to develop and refine the new statistical methods of correlation, 'order,‘ and hierarchy of data. Thurstone (1935), was also instrumental in advancing traditional factor analysis; many authors have referred to him as the father of factor analytic research. He not only helped find a solution to the problem of attitude measurement, but he gave impetus and direction to attitude change research (Ostrom, 1968). It was Thurstone who developed the concept of 'clustering' which evolved into multiple factor analysis. The concept of correlation clusters involved positing certain primary mental abilities with common space between them. "The area of common overlap in each cluster defines a primary mental ability." Thurstone hypothesized seven primary mental abilities, in opposition to Spearman's 'G' and '5' factors (Chaplin and Krawiec, 1968, pp. 524-525). Thurstone's support for his theory of Primary Mental Abilities was based on correlations of various mental tests. Different tests revealed different 'factor loadings' or different degrees of closeness to the varying correlational clusters. The battery of tests could be refined and improved to correlate more highly with each of the under- lying factors. .- ¢-*-. "5! Y l-t --|.- - .— «Ir. "a . -.. ‘ u."‘ .C‘ad‘ ,.u‘ 40 Thurstone (1935) introduced into the mainstream of psychological research the concept of 'mapping' as well as expanding and developing the previously discovered concept of hierarchy. Guttman's use of the "mapping sentence" is deve10ped in detail in Chapter V. Throughout this research, Thurstone was concerned with making psychology more rigorous; thus, he attempted to have his research conform to the scientific method. The criterion by which he accepted or rejected his studies was the degree to which "it facilitates the comprehension of a class of phenomena which can be thought of as examples of a single construct rather than as individualized events" (Thurstone, 1947, p. 52). Thurstone (1947) applied factor analysis to problems involving measurement of intellectual ability and individual differences. Unsatisfied with Spearman's interpretation of intelligence based on 'one' general factor, Thurstone ad- vanced the concept that intelligence was composed of several separate factors which appeared in correlational clusters. Factor analysis was regarded as a general scientific method to be used in studying individual differences. Thurstone believed that the main purpose of factor analysis was indeed for the study of these individual differences. The assumption underlying factor analysis is that a variety of behaviors within a certain area are not only related, but they are at least partially determined by a small number 0 f factors : 41 Factor analysis is useful where basic concepts are lacking in an area, and experiments have been diffi- cult to conceive. The new methods have a humble role. They enable us to make only the crudest first map of a new domain. But if we have scientific intuition and sufficient ingenuity, the rough fac- toral map of a new domain will enable us to proceed beyond the exploratory factoral stage to the more direct forms of psychological eXperimentation in the laboratory (Thurstone, 1947, p. 56). In strict factor analytic studies, there are no clearly defined independent or dependent variables; rather, all the variables of the study are treated in a like manner. If, however, one desires in a study to predict one variable from another, a statistical study should be performed (Thurstone, 1947) . Factor analysis, as an empirical method, is typ- ically useful where a researcher is attempting to discover, explore, and order variables underlying a certain problem. The factor analyst is especially interested in studying correlations that he observes, and accounting for these correlations among the variables "in terms of the smallest number of factors and with the smallest possible residual errors" (Thurstone, 1947, p. 60). The process of factor analysis involves the investigation of a set of variables to discover if they exhibit, or can be modified to exhibit, some underlying order that is responsible for producing the individual differences observed. The variables and data are then ordered in the form of a matrix. This matrix formulational analysis of correlations among variables owed -u an) ." -n~ 'I l 42 its beginning to the development of the methods of correla- tion by Pearson and Galton, Spearman and Hart's technique of ordering correlations in the form of a hierarchical matrix, and finally Thurstone's writings stressing the importance and usefulness of matrix analysis to the fields of psychology and education. Although it was Spearman and Hart who first noted matrix analysis, it was left to Thurstone to popularize the method. As Thurstone wrote in 1947, "the matrix formulation of factor analysis seems to have been generally accepted, and it has largely replaced the previous methods of factor analysis" (Thurstone, 1947, p. VI). A correlation matrix involves a table of inter- Correlations, as defined by Thurstone (1947, pp. 1-2) below: Matrices and determinants involve rectangular arrangements of numbers. Any rectangular arrange- ment of numbers is called a matrix, irrespective of what the numbers mean. If the matrix has m rows and n columns, the matrix is said to be of order m x n. In designating the order of a matrix, it is customary to refer to rows first and columns second. Table 5 illustrates one of Thurstone's matrices, Specifying the product-moment correlations between sixteen measurements on thirty-two factors, but does not specify any 'order' or hierarchy of the factors. Future develop- ments in correlation matrices illustrate the concept of 'ordered' factors in a matrix. When it was found that inter- correlations such as the ones illustrated in Table 5 exist, Thurstone considered the matrix to be of 'simple structure.‘ .AHmv .m .nvav mcoumusce Eonmm 43 oo.H on. em. vv.l mm.| mo.l HN.I hm.l Nm.l ov.l 00.! Hm.l mH.I NN.I MN.I HH. 0H on. oo.H mm.l Nm.l mm.l NH.I NN.I vo.l vo.l m©.I 0N.I hm.l NN.I vm.l vH.I mm.l mH gm. mN.t oo.H NH. gm. HH. Ho. HH. mH. mm. «m. mo. NH. mH. @H.I on. vH vv.l Nm.l NH. oo.H hm. ow. om. mm. mm. Hm. mm. mm. Nm. mm. v0. mm. MH mm.l mm.l vm. hm. oo.H mm. mm. om. vm. mm. mm. gm. mm. mm. cm. 00. NH oo.l NH.I HH. om. hm. oo.H om. 00. we. v0. vm. vm. mm. om. mm. Hm. HH HN.I NN.I Ho. om. mm. om. oo.H mm. mm. vb. Nm. om. Hm. mv. no. mv. OH hm.| vo.l HH. mm. om. 00. on. oo.H mm. mm. on. me. Ho. om. Vb. mm. m Nm.l vo.l 0H. mm. cm. mm. mm. mm. oo.H mm. mm. om. om. Nm. mv. av. m ov.l m©.I mm. Hm. mm. «0. we. mm. mm. oo.H mm. on. mm. mm. hm. Nb. h mo.| mN.I cm. mm. mm. cm. Na. 05. mm. mm. oo.H om. om. Nv. NV. mm. o Hm.l hm.l mo. mm. cm. «0. om. mu. om. mu. om. oo.H mm. Nm. om. mN. m mH.I NN.I NH. Nm. we. mm. Hm. Ho. om. mm. mm. mm. oo.H Nm. Nm. Nm. v Nn.l ww.n mH. mm. mm. om. mv. om. Nm. mm. NV. Nm. Nm. oo.H om. om. m MN.I «H.I 0H.I co. vm. mm. no. es. ov. hm. Nv. om. Nm. om. oo.H om. N HH. mm.l mm. mm. mm. Hm. mv. mm. av. Nb. mm. mN. Nm. om. om. oo.H H 0H mH VH MH NH HH OH m m b m m v m N H m xHHumz coHumHmuuounn.m mqmda a ‘i‘ .u‘ a .. v. u!!! ' ,uuu n;-. .‘I‘. l-‘ . a u“ I... v.. 44 He suggested that when it was discovered that such a corre- lation matrix existed between tests, that the tests should then be administered to several different new populations for verification and confirmation of the original hypothe- sized 'simple structure.’ These new and different experi- mental populations should be selected in ways different than the way used for selection of the original population. "If the primary factors are in the nature of basic para- meters (factors) that are not merely reflections of the eXperimental conditions or the particular selective con- ditions, their interpretations should be the same for the several experimental groups" (Thurstone, 1947, pp. 471-472). Thurstone's mathematically precise definition of 'simple structure' follows: Each test may be regarded as a radial vector in a common-factor space of as many dimensions as there are common factors in a test battery. The corre- lation between any pair of tests is the scalar pro- duct of the test vectors. Since the scalar product of a pair of vectors is independent of the co- ordinate system, it follows that the interest correlations define the co-ordinate system. But the co-ordinate axes are the scientific categories in terms of which the tests are to be comprehended. This is an interesting indeterminacy. One of the principal problems of factor analysis is to find a unique set of co-ordinate axes, either orthogonal or oblique, which shall represent scientifically mean- ingful categories in terms of which the tests may be comprehended. This problem has been solved in terms of what I (Thurstone) have called 'simple structure' of a trait configuration (Thurstone, 1935, p. VIII). According to Ostrom (1968), the period between 1930 and 1950 markedtjmaemergence of attitude theory; at this 45 time, extensive research began into the study of how atti- tudes were formed and changed. Much of modern theoretical and empirical explanations of attitude are based on studies from these two decades. Ostrom credited Thurstone with being the one theorist most contributive to attitude research with his solution to the problem of the measure- ment of attitudes. Those who followed the work of Thurstone (e.g., Guttman, 1944; Likert, 1932) "accepted this evalua- tive characteristic . . . Thurstone, and later Likert (1932) and Guttman (1944), provided a rational methodology for the measurement of attitudinal affect" (Ostrom, 1968, Pp. 7~27). Chaplin and Krawiec (1968) presented a good summa- tion of what Thurstone and other factor analysts sought to achieve, and what Jordan is attempting to carry through in practice in the realm of attitude-behavior research. "When the smallest number of factors which can account for the Correlations has been discovered and when the factors have been identified with their corresponding processes, the psychologist is in possession of a theoretical description of the system he is seeking to establish" (p. 527). Vali- dation of this entire process was based on two contingencies: (a) the validity of the operations from.which the system ‘was derived, and (b) the psychologist's judgment upon which the assumptions are based. g. ..u a... h” ~- 46 This dimensional analysis of attitudes was accepted by those who followed Thurstone. Thurstone believed that an individual's attitudinal affect depended on the average of the affective distribution of his personal beliefs. "Thurstone, and later Likert (1932) and Guttman (1944), provided a rational methodology for the measurement of attitudinal affect" (Ostrom, 1968, p. 27). In his intro- ductory statements concerning factor analysis, Guilford (1954) described what he perceived as the primary goal of science: Science, forever motivated to bring order out of chaos, to reduce to the simple that which is complex, wants to know what is the smallest number of concepts with which one can order and describe adequately the multiplicity of phenomena that come under its scrutiny (p. 470). This task has been undertaken by factor analysts;to discover the smallest number of variables or dimensions of person- ality or some other characteristic of human functioning that will adequately describe that particular functioning. Through exploration of a specific universe of traits, factor analysis sought to discover principles of classifi- cation (Burt, 1966). Spearman was one of the first to devise a correla- tion matrix including the concept of order, illustrating the intercorrelations among variables. Table 6 illustrates simple proportionality in a correlation matrix. As can be seen in Table 7, when the same variables are rearranged, the 47 porportionality of the intercorrelations becomes clearer. The coefficients now run from high to low in every row and column; this phenomenon Spearman called 'hierarchical order' (Guilford, 1954). TABLE 6.-~Intercorre1ations of Six Hypothetical Tests Having One Common Factor, Illustrating the Condition of Simple Proportionality in a Correlation Matrix a a b c d e f a .40 .10 .45 .30 .35 b .40 .16 .72 .48 .56 c .10 .16 .18 .12 .14 d .45 .72 .18 .54 .63 e .30 .48 .12 .54 .42 f .35 .56 .14 .63 .42 1.60 2.32 .70 2.52 1.86 2.10 aFrom Guilford (1954, p. 473). TABLE 7.~-Same Intercorrelations as in Table 6 with Variables Rearranged so as to Show the Proportionality More Clearlya d h f e a c d .72 .63 .54 .45 .18 b .72 .56 .48 .40 .16 f .63 .56 .42 .35 .14 e .54 .48 .42 .30 .12 a .45 .40 .35 .30 .10 c .18 .16 .14 .12 .10 aFrom Guilford (1954, p. 474). ~ v ..v .a- 48 "Thurstone believed that when simple structure is achieved in rotation, the factors have psychological meaning. In other words, simple structure is a principle of order in psychological nature" (Guilford, 1954, p. 485). The question of why use factor analysis at all has been aptly answered by Guilford (1954, p. 522). "The most defensible reason a psychologist can have for making a factor analysis is to aim toward the clarification of use- ful concepts in a domain where adequate concepts are now lacking." Cattell (1964) served as a link between Spearman, Thurstone and other factor analysts who concentrated their efforts toward understanding intelligence, and the beginning of the application of factor theory to the area of personality. The statementskurCattell concerning linear simplex theory both explained what Spearman and Thurstone had achieved with the matrix hierarchy and what Jordan and his associates have recently encountered in their facet analysis of attitude-behavior. Stated now in more detail our postulate for the linear simplex is that natural relationships may take all levels of order and complication of mathematical equations to represent them, but that in the total pOpulation of relationships (and in the majority of random samples), there will tend to be a pyramid or hierarchy of complexity, with the basic linear relationship as the most common and with increasing complexity of equation progressively less frequent (Cattell, 1964, p. 732). 49 Cattell also discussed how errors in the simplex arise and noted some ways to overcome them; the basic reasoning he utilized was similar to Guttman's (1944, 1954b) explanations of why a perfect simplex was not often attained, and by Jordan (1971a) in his analysis of attitude theory: On the assumption that the relationship we are dealing with is linear (since the majority will be so) any error of estimate from any variable x to another, y, will be a statistical phenomenon, due to (a) experimental and sampling error, and (b) partial determination of the variance of the second variable by variables other than the first. The departure of the raw score scaling from the ideal scaling operates as experimental, instru— mental error of measurement and this reduces accuracy of estimate ~~ and the correlation coefficient ~~ only through source (a) (Cattell, 1964, p. 732). Cattell was the first to apply factor analytic methods to an analysis of personality theory, while attemp- ting to specify its structure. At about the same point in time, Guttman (1959) began to use facet analysis as his primary method of investigation. Lingoes and Vandenberg (1966, p. 2) felt that Guttman's facet theory (1959) served, in some respects, as "the nonmetric counterpart of Thurstone's concept of simple structure." The differences between traditional factor analysis and Guttman's facet theory can be seen in comparing his system to the factor system of Cyril Burt. Both Guttman and Burt were attempting analysis of qualitative data; their techniques were arrived at independently but bear similarities. Burt's goal was to factorize the data, while Guttman's primary aim "was to 50 present 'a theory and method of scale construction' by means of 'quantifying a class of attributes'" (Burt, 1953, p. 5). Guttman believed that factor analysis was suited for quantitative data and could not be used when dealing with qualitative variables (Burt). Guttman's objections to factor analysis were as follows: 1. Factor analysis is "designed only for quanti- fiable variables, and is consequently unsuited for qualitative data." 2. . . . "In order to apply factor analysis, we must begin by calculating correlation coeffic- ients, and in the case of qualitative data such coefficients are bound to be misleading . . . 3. "The principle criterion for scalability is reproducibility. But factor analysis does not allow us to reproduce the original data from the so-called factor-measurements. Hence factor analysis can never show whether a scale is perfect or not." 4. "The Spearman-Thurstone approach to factor analysis is completely linear, and is there- fore not adequate for analyzing the curvi~ linearities inherent in the scale pattern." 5. "From a scale analysis it can be known what a factor analysis will show; from a factor analysis it will usually be difficult, if not impossible, to know what a scale analysis will show" (Burt, 1953, pp. lO—ll). Facet analysis is "a tool for the organization of ideas" (Foskett, 1963, p. 111). Guttman's techniques serve as a method for research in social science. Foskett (p. 111) defined Guttman's facet analysis as "the coordi- nation of elements from sets which together add up to the whole content of research projects." A facet, then, is a set of elements which may combine with other sets, and 'facets are involved . . . in almost any scientific endeavour in any field'. The theory of facets make it possible to design the 51 'universes of content' of research projects econom- ically, and even to derive new psychological and sociological concepts (Foskett, 1963, p. 111). Guttman Methodology Guttman (1954b) based much of his structural research model on the factor analytic techniques of Spearman and Thurstone; although Guttman's method is not a factor analytic theory, he considers factor analysis a predecessor to facet analysis. There has been a definite void in discovering and developing means in the social sciences to quantify qualita- tive data. In one of Guttman's (1944) early articles, he sought a recognition of this phenomenon, and also addressed himself to the task of discovering ways out of this dilemma. He presented a new approach to this problem by citing some quantitative methods that could be applied to data and research that is primarily qualitative in nature. Guttman began this early article by defining termi- nology that he would use in building his system. This terminology has been carried over by Jordan in his own systematic analysis of attitude-behavior based on the methodology of Guttman's system. According to Guttman (1944), "a variable denotes a set of values; these values may be numerical (quantitative) or non-numerical (qualitative)." 'Attribute' is used by Guttman to denote a 'qualitative variable;' these terms are interchangeable. "The values of an attribute (or of a 52 variable, too, for that matter) may be called its subcate- gories, or simply categories." A scale is the multivariate frequency distribution of the universe of given variables in which one can derive a quantitative variable "with which to categorize the objects such that each attribute is a simple function of that quantitative variable." These quantitative variables are called scale variables (pp. 139- 140). Guttman (1944) warned that perfect unidimensional scales should not be expected in actual, applied research. A method was developed to test data to find out if it forms a reasonable estimate of a relatively unidimensional scale. "The deviation from perfection is measured by the coefficient of reproducability, which is simply the empirical relative frequency with which the values of the attributes do correspond to the proper intervals of a quantitative variable" (p. 140). If a scale reaches eighty-five percent or better, Guttman considered this, although not a perfect scale, an efficient approximation to a 'theoretically perfect scale.‘ The values for each scale variable are called either scale scores or scores; the order of the objects in the scale by numerical order of scores is called their scale order. This 'scale order' is analogous to Spearman and Hart's 'hierarchy' and Thurstone's 'matrix formulation,‘ and, according to Thurstone, . . . seems to have been generally accepted, and has largely replaced the 53 previous methods in factor analysis" (Thurstone, 1947, p. VI). In a more recent work, Guttman referred to this 'scale order' as 'structural theory' (1971). In devising his method for quantifying qualitative data, Guttman (1944) relied on what he calls 'the universe of attributes.’ The effect is directed toward scaling a universe of attributes, which is a large class of behavior, and contains 'all' of the attributes under investigation. "The universe consists of all the attributes that define the concept" (p. 141). The universe can also be defined as containing all the attributes that the researcher is interested in that have some common content; they would be classified under the same single heading, indicating the content of the variable class. An important prOperty of a scalable universe is that the ordering of persons based on a sample of items will be essentially that based on the universe . . . Hence, we are assured that if a person ranks higher than another in a sample of items, he will rank higher in the universe of items. This is an important prOperty of scales, that from a sample of attributes we can draw inference about the universe of attributes (Guttman, 1944, p. 147). Guttman (1944) distinguished between ordinary problems of prediction and scaling via the universe of attri- butes. While in prediction problems, a dependent variable is to be predicted from the attributes, in the method of scaling each attribute is predictable from the quantitative variable. A quantitative variable is derived from the multi— variate distribution such that each attribute is a simple 54 function of that variable; this procedure is undertaken only after discovering that a particular universe of attributes is indeed scalable for a population. From this method of analysis, can be seen an impor- tant property of this particular technique, a prOperty that becomes especially crucial in Jordan's extension of the Guttman system. Guttman (1944, p. 148) stated that "if the items have a multivariate distribution that is scalable, it can easily be seen that no matter what the outside vari- able may be, the same prediction weights may be given to the items." Jordan's research involved use of a similar universe of attributes applied to several different attitude objects. As suggested by Guttman (1959), Jordan has enlarged the theory "by letting the groups vary according to some principle" (p. 319). "The correlation of any outside variable with the scale scores is precisely the same as the multiple correlation of that outside variable with the items in the scale" (Guttman, 1944, p. 418). Thus, scaling of items having a multivariate distribution that is scalable, provides an invariant quantification of the attributes in order to predict any outside variable. Scale scores from a scalable multivariate distribution, can serve for almost any prediction purpose defined by the researcher (Guttman,l944). Thus, the major difference between scaling and pre- diction is that in prediction, a variable is predicted from 55 the attributes, while in scaling, an attempt is made to reproduce the attributes (or variables) from a quanti- tative variable" (Guttman, 1944). In a discussion of the relativity of scales, Guttman (1944) gave an analysis of deviant or non-scale types. If these latter types are too numerous, thereby keeping the coefficient of reproducability below the eighty-five percent criterion Guttman has established, a unidimensional scale cannot be said to exist. The reason scales are derived is because there is a certain degree of uniformity of experience for the population being tested in order that the attributes have a similar meaning to the different individuals taking the test. Guttman added that the individuals who deviated from the scale analysis may be useful for some type of in-depth case study analysis. A perfect scale order is dependent on only one component, that of the rank order underlying the attributes. One can deduce an individual's attitude or behavior on every item in the universe of attributes being evaluated, by observing his scale rank. The totality of behavior and the interrelationships between items can be measured by a single variable, the scale rank (Guttman, 1954b). Guttman (1954b) divided factor analysis into two basic types: (a) common factors, the previous approach used by Spearman, Thurstone, and others; and (b) the method of order-factors, Guttman's own approach. Guttman did not feel 56 that these two approaches were totally different, but con- sidered earlier factor analytic techniques as predecessors to his theory. Shortly after its inception, various factor analytic methods began to converge toward a design and theory for measuring mental abilities. Guttman (1958) described these convergences and other relevant issues in his article, "What Lies Ahead for Factor Analysis." The work of Thompson, Thurstone, and Spearman centered around this search. Much of this theorizing was based on Spearman's concept of 'G' and its association with Thurstone's concept of 'simple structure.‘ Similar designs were developed by El Koussy, Guilford, and Guttman. El Koussy's design involved the study of ability and physical space. Guilford devised a facet theory based on many of the studies involving Thurs- tone's concept of simple structure. In his extensive study of the techniques of multivariate analysis used in the be- havioral sciences, Guttman arrived at a similar design (Guttman, 1958). Both Spearman and Thurstone were interested in psy- chological theories of mental abilities and the more abstract statistical and algebraic theory. Thurstone stressed the need for the algebra and statistics of factor analysis to be used in the investigation of psychological conceptions. Although his development of multiple-factor analysis appeared largely mathematical, Guttman (1958) stated that it 57 was primarily motivated by psychological considerations. Thurstone's multiple-factor theory grew out of Spearman's single-factor theory. By dividing Spearman's single-factor theory into several common-factors, Thurstone enumerated a multiple theory for the intercorrelations of mental abilities. Thurstone believed that the number of factors responsible for mental ability, should be relatively few in number compared to the large number possible for mental abilities or tests of mental ability. In opposition to Spearman, however, simple structure posits that not all common factors are involved in all the diverse mental abilities (Guttman, 1958). Guttman (1958) continued to discuss the convergences of factor analytic theories by noting similarities in the work of E1 Koussy, Burt, and Spearman. Close parallels can be found in E1 Koussy's space abilities research, Spearman's psychological concepts involved with his single-factor theory, and Burt's conception of hierarchical levels of factors. Guilford, on the other hand, drew upon the vast number of common-factors that had already been discovered by others as related to intellectual ability, and compiled a new, more complete listing of factors related to intelli- gence. Interested in finding psychological meaning for these factors that could be structured, Guilford devised a three-faceted scheme for intellectual ability. In this 58 scheme, he distinguished five types of intellect (memory, cognition, convergent thinking, divergent thinking, and evaluation) which were further divided into three types of content (figural, structural, and conceptual). This yielded 5 x 3 fifteen possible combinations of intellect and content. A third facet, type of thing, divided these fifteen elements into six additional subclasses (fundaments, classes, relations, patterns of systems, problems and impli- cations). Thus, from three facets (intellect, content, and thing), 15 x 6 possible combinations were possible. Guttman stated that although these ninety common-factors may not be complete or correct in every detail, it was the design of the theory that would be so crucial to the future direction of studies in factor analysis (Guttman, 1958). These above designs (E1 Koussy and Guilford) were referred to by mathematicians as Cartesian Products of Sets. If I is a set of intellectual abilities, if C is the set of three types of content, and T is the set of six types of things, then by the Cartesian product ICT is meant the set of ordered triples, say of the form ict, where i is an element of I, c is an element of C, and t is an element of T. Each set in a Cartesian product is what Fisher calls a 'factor' for his design of experiments, and an element of such a 'factor' is what he calls 'level of a factor'. Since this use of the word 'factor' is radically different from that of Spearman and Thurstone we have proposed that the word facet be used instead of Fisher's. A facet is nothing but a set involved in a Cartesian product. I, C, and T are the three facets of the Cartesian product ICT (Guttman, 1958, p. 508). 59 "Following Spearman, should we regard 'qualitative law' or a facet design as being a set of instructions for a test constructor as to what kinds of items he should make up for tests, then Guilford's ICT design provides instruc~ (zions for ninety varieties of tests" (Guttman, 1958, p. 508). thter a test was constructed and administered, the task vnould be to explain why a certain subject scored as he did 111 terms of the facets of the test design. Guttman's (1958) radex theory of mental abilities lxmgan with Spearman's two general facets of complexity, 'Imalations' and 'fundaments.‘ By varying the level of conqplexity while holding content constant, a simplex corre- Lation matrix could be obtained. Similarly, by varying mmntent and holding level of complexity constant, it was possible to obtain a circumplex correlation matrix. Fur- ther, 'kind of complexity' could be expanded through use of E1 Koussy's and Guilford's facets. Guttman (1958) suggested that after a design had beconma accepted for one area of endeavor (such as mental abilities), it should be possible to apply the design through modification to other areas of concern. In dis- coveringthe facet design for mental abilities, one also discOvered the definition of mental abilities; their content is identical. The old definition of intelligence, "what an intelligence test measures, was facetless, and therefore quite useless for empirical study" (Guttman, 1958). 60 If the design was incomplete, additional facets and/or modification of the facets present might be necessary (Guttman, 1958). There is a great deal of work to be done on the purely conceptual level of designing a cleanly faceted system, or a definition of mental abilities. Guilford's, El Koussy's, and my own (Guttman's) two primitive facets by no means include all of those indicated by Spearman. A good deal of fruitful work in the future may go in the direction of simply deciding upon what one wants to mean by mental abilities in terms of facets. We have seen how major concepts of our great predecessors are retained in this reformulation, but retained in what may be a cleaner and less ambiguous form (Guttman, 1958, p. 514). Guttman (1954b) described his 'radex theory,‘ Whixch he designated to indicate 'radial expansion of a com- plexity,‘ as "a set of variables whose intercorrelations COrLform to the general order pattern prescribed by the new thenory" (p. 260). A set of variables that possesses a Sinuple order of complexity and can be arranged in a simple rank order from least complex to most complex, is called a “iinuplex.' The variables contained within the simplex dififear in the degree of their complexity. This holds for tests of similar kind; for example, in a group of tests meelsuring numerical ability, addition, subtraction, multi- pliSIation, and division differ largely in degree of complex- ity, from less complex to more complex. In opposition to this simplex design, was what Guttman referred to as a 'circumplex.’ The circumplex contains a 'circular order of complexity,‘ in which the 61 order is not from least complex to most complex, but rather has a circular order. Tests which contain the same degree of complexity will differ only in the kind of ability that they define. "Our empirical data will testify that differ- ent abilities such as verbal, numerical, reasoning, etc., (ho tend to have such an order among themselves" (Guttman, .1954b, p. 260). Since the simplex analysis is so central to (Hardan's (l97la) analysis of attitude-behavior, a brief rexziew of the foundations that this theory rests upon is immxortant. Spearman's early studies were based on postu- laILing hierarchies for the relationship between two tests; these were arranged in such an order that the correlations betnfleen the tests decreased the further down in the hierarchy they were located. If you locate a number in the upper Jfafflz corner of the table, moving anywhere to the right or dOVnn. in the table, will result in the correlations tapering Off? (Table 8). Guttman (1954b), however, stated that attErnpts to apply this 'hierarchy hypothesis' met with faiJLIJre, and the word 'hierarchy' disappeared from the liteBirature. Guttman, especially in his analysis of simplex datii. is attempting to revive usage of this concept. Spearman's theory was based upon the assumption that one"‘common-factor held the hierarchy together; when one factor was postulated it was found that the hierarchical relationship could not be produced. Other theorists then nn .7 ‘- 62 TABLE 8.~~Test Intercorrelations for a Hypothetical Single- Common-Factor Structurea Test Comgggagigtor t1 t2 t2;f t4 t5 .9 .7 .5 .3 .1 t1 .9 (.81) .63 .45 .27 .09 t2 .7 .63 (.49) .35 .21 .07 t3 .5 .45 .35 (.25) .15 .05 t4 .3 .27 .21 .15 (.09) .03 t5 .1 .09 .07 .15 .03 (.01) aFrom Guttman (1954b, p. 263). postulated two, three, four, and even more common factors as central to leading to the hierarchical order; however, even these failed to lead to reproduction of the hierarchy. Guttman at first postulated that multiple common-factors are needed to explain the intercorrelations among the variables; this he stated proved to be an empirical failure, although it was mathematically accurate. Through modifi- cation of this theory, he has arrived at an alternative explanation of the system, that being the simplex. A theory closely related to the simplex is that of the circum- plex, and both these theories are encompassed in the more comprehensive theory, the radex. This new approach encom— passed much from the older theories and also eliminated many of the older approaches (Guttman, 1954b). Guttman (1954b) considered the simplex, a facet theory, as being a viable alternative single-factor theory 63 to the older factor analytic technique, that of Spearman's single-common-factor hypothesis, while not utilizing an m-common-factor theory. The alternative single-factor theory involved the use of scaling and scale analysis. By giving semantic meaning to a rank order among quantita- tive variables, the hierarchy previously abandoned by those seeking multiple-common-factors, can be revived to serve as a useful means of analysis. Guttman (Guttman & Schles- inger, 1966; 1967) felt that this new facet analysis was feasible for mental tests, both theoretically and in applied research through use of the concept of complexity as the basis for comparing different variables. This was one juncture where Guttman replaced the older factor analysis with his own facet techniques: . t Suppose we are given n tests t n ,t.. which differ only on a single $0mp1exity factor . . . Test t is the least complex. Test t is next; it requires everything t does, and m re. Similarly, t is more complex than t2, requiring everything t does and more. In this case, t is clearly also more complex than t1. In general, t. + l is more complex than t., and hence requiresjwhat all proceeding tests require, plus something more. Let g denote the total complexity factor, of which all tests are composed in various degrees. Thus, 9 is like an additional test beyond the most complex given test tn (Guttman, 1954b, p. 269). This initial ordering was essential for Guttman's scaling technique; with Spearman's hierarchy no such ordering was required. As previously stated, Spearman's theory pro- duced a matrix (see Table 8) that descends as one goes down 64 or to the right of the upper left corner. The results of Guttman's theory can be seen to be quite different from what Spearman had found. Table 9 illustrates how Guttman's theory lead to a matrix in which the largest correlations all lie along the central diagonal, and taper off as one goes to the upper right and lower left of the table (Guttman, 1954b). TABLE 9.~~Test Intercorrelations for a Hypothetical Equally- Spaced, Perfect Simplexa t t t t t Test Complexity 1 2 3 4 5 .07776 .1296 .216 .36 .6 t1 .07776 1.0 .6 .36 .216 .1296 t2 .1296 .6 1.0 .6 .36 .216 t3 .216 .36 .6 1.0 .6 ..36 t4 .36 .216 .36 .6 1.0 .6 t5 .6 .1296 .216 .36 .6 1.0 Total 2.3056 2.7760 2.9200 2.7760 1.3056 aFrom Guttman (1954b, p. 271). Not all matrices are as equally-spaced as the one shown in Table 9, "Test Intercorrelations for a Hypotheti- cal, Equally-Spaced, Perfect Simplex;" in practice few reach this level of perfection. Table 10 illustrates the more common results, where the data do not form a perfect, equally-spaced somplex, but form a "Hypothetical, Nonequally- Spaced, Perfect Simplex." The tests are not equally-spaced in their complexity, but they still maintain the pattern 65 of descending scores as one proceeds further away from the central diagonal (Guttman, 1954b). TABLE 10.~-Test Intercorrelations for a Hypothetical, Non- equally-Spaced, Perfect Simplexa Test Complexity t1 t2 t3 t4 t5 Loading .10 .12 .30 .85 .90 t1 .10 1.00 .83 .33 .12 .11 t2 .12 .83 1.00 .40 .14 .13 t3 .30 .33 .40 1.00 .35 .33 t4 .85 .12 .14 .35 1.00 .94 t5 .90 .11 .13 .33 .94 1.00 Total 2.39 2.50 2.41 2.55 2.51 aFrom Guttman (1954b, p. 272). "A set of tests whose observed intercorrelations satisfy the stated conditions of the hierarchy, will be said to form a perfect simplex. They have a simple order of complexity" (Guttman, 1944, p. 271). "In a perfect scale, each item is a perfect function of a single rank order of respondents" (Guttman, l953b,p. 2). Guttman (1954b) regarded Spearman's hierarchy as one in which the included tests have the same level of complexity. It was based on "the relative size of the communalities, or the saturations with the single-common~ factor" (p. 318). Thurstone's (1947) conception of simple structure was more closely related to Guttman's notion of circumplex 66 than to his notion of simplex. The 'simple structure concept,‘ an important contribution of traditional factor analysis, involved a situation in which the common-factors did not correlate at all with each other, as was the case with quantitative variables when using the circumplex. Guttman (1954b) stressed the point that new theories were based to a large extent on the contributions of previous theories. In visualizing Guttman's simplex, it becomes increasingly clear just how important previous factor analytic theory has been to his new theoretical developments and modifications, evolving into a new facet theory approach. When Godfrey Thomson demonstrated that Spearman's type of hierarchy could tend to be accounted for by a theory of random sampling of 'bonds' in the mind, Spearman objected on the grounds that mental activity was certainly not random. Our (Guttman's) new theory is essentially one of 'ordered—bonds' in the mind; Thomson's bonds in a sense remain, and Spearman's objection to randomness is sustained (but Spearman's hierarchy is displaced from its previous central importance) (Guttman, 1954b, pp. 345-346). Although Guttman (1954b) was somewhat critical of Thurstone's methodology, he saw more similarity between Thurstone and his facet theory analysis, than with other factor analytic theories. "The emphasis that Thurstone makes on patterns of zero factor loadings is reached in the additive forms of both the circumplex and the simplex. Had the notion of a simplex order been available before, one might have arrived at the radex theory via Thurstone's 67 approach" (p. 346). "We can now see that in a radex with empirically distinguishable simplexes, centroids of the simplexes will tend to be the reference axes of a Thurstone- type analysis. Thus, the number of common-factors found previously will tend to correSpond to the number of sim- plexes employed" (p. 347). Guttman (1953a) stated that his methods have "demonstrated that image theory is related to common-factor theory but has greater generality than common-factor theory, being able to deal with structures other than those des- cribed in a Spearman-Thurstone factor space" (p. 277). Guttman felt that image analysis encompassed the common- factor analysis propunded by Spearman and Thurstone. Cluster analysis, propounded by Tryon, Cattell, etc., resembled both circumplex and simplex analysis. Although Tryon's (Guttman, 1954b) 'correlation profile' technique fit well in a short simplex, in the more lengthy tables, "the earlier and later parts will seem to form separate clusters because of the smaller correlations in the northeast and southwest corners of the correlation table" (p. 347). The research performed by Cattell came close to the simplex proposed by Guttman, but Cattell failed to make a distinction between kind and degree. In a 1954-1955 article, Guttman mentioned possible extensions of his simplex, circumplex, and radex theories into the realm of attitude research. "One of the most 68 surprising and profound prOperties of a perfect scale is that while on the surface it represents but a simple ranking of people ~~ more deeply it reveals a whole series of under- lying components of the attitude" (p. 400). Guttman con- tinued to cite the need in attitude research for the scaling of attitudes along a simplex from 'most complex' to 'least complex' as a method of improving psychological investi~ gation and computing techniques, over the previous analytic approaches. Guttman was of the belief that there was definitely a structural analysis underlying content areas and that it was the job of the social scientist to seek out these underlying structures, where they existed. The method he advocated for discovering these foundations was facet analysis of the sub-universes. Certain subuniverses were statistically closer to other subuniverses, while some were more distant. These could be aligned in the hierarchical simplex in order that they specify the empirical correla- tions underlying the definitions. The more exact that this analysis became, the better the frame-work was. "Comprehen- sion of the multivariate system of the universe can lead to larger theories of relations with other universes, and thus to more and more perfect multiple correlations for each variety of behavior separately" (Guttman, 1959, p. 318). Cattell (1964) in regard to simplex analysis, related that the concept of simplex had been used widely in 69 scientific endeavors and classically expressed by Newton as "natura est simplex.‘ In more modern usage this concept involved choosing the model (or theory) that gave the best fit and was at the same time simpler in terms of data rela- tions, mathematics, and logic. Cattell stated that the aim of simplex analysis was to find scales that would maximize prediction of certain statistical relationships. Borgatta (1958) noted that a primary advantage of data arranged along a simplex design, was that as one studies the scores down the central diagonal, one can View the transition in meaning of the items "as they are saturated in two different contents" (p. 525). If the items chosen were relatively independent of one another, good factor defini- tions would not result; if all of the items were totally independent of the other items, common factors would not be found and all the intercorrelations would be zero. According to Foa (1958) one of the most important characteristics of facet analysis was that it contributed to the understanding of the structural pattern of contents; facet theory attempted to show that changes in a given area depended on changes taking place in the areas imme- diately neighboring it. It attempted to provide a descrip- tion of the phenomena that take place and the psychological dimensions underlying them. Foa (1958) discussed model building as the first step in facet analysis; selection of the facets should be 70 made so that they are relatively independent of one another and yet logically consistent. This he referred to as the "principle of logical independence of the facets" (p. 230). Each combination of facet categories should make logical sense. Foa gave an example using two facets, i.e., sex (male/female) and motherhood/non-motherhood. He stated that these two facets were not logically independent because the combination of male/motherhood was not logically possible. Although it is important to have the facets of a scale logically independent, more proof that the facets are indeed the appropriate facets for the design is necessary. "A more conclusive indication of the adequacy of choice consists in finding a certain parallelism between the pattern of conceptual contiguity and the pattern of statistical dependence" (Foa, 1958, p. 230). In other words, parts of similar composition should be related more clearly than parts of dissimilar composition. When this does not occur, and if the parts of dissimilar facet composition are more closely related than are those of similar composition, there is a good chance that there is some additional, underlying facet in the model that has escaped notice and has been omitted from the scale. "These considerations can be summarized in the principle of contiguity stating that: conceptual contiguity is a necessary condition for statis- tical dependence" (p. 230). 71 Guttman considered himself a disciple of both Spear- man and Thurstone. In tracing the concept of simple struc- ture, Guttman credited both Spearman and Thurstone for developing the primary notions leading to the concept of simplex. "It is a historical fact regarding the evolution of ideas that the origins of property, facet, and aspect analysis happened to lie in the early quantitative factor analytic developments, though they could have been developed quite independently as a purely logical system" (Guttman, 1966, p. 444). Guttman noted that when Spearman first began his work, that eventually lead into 'order' analysis, the statistical means of multivariate analysis were not yet developed. This impeded the development of the statistical approaches that Guttman was able to facilitate soon after the new techniques became available. Guilford (1954) suggested that patterns of observed correlations could be predicted if the underlying facet design of the test is understood. Later, Guttman developed the theoretical, methodological concept of 'radex' to explain the relationships of ordered facets. Thus, Guttman's concept of 'radex' came from Guilford's discovery that a test with a profile in which there is only one level reversal will have a higher correlation than tests with more than one levelreversa1.(Guttman, 1958, p. 512). "It is this kind of property (radex analysis) that can lead to parsimonious but highly successful prediction of external criteria" ~v . u «I. q . A.» ..L 72 (p. 512). Guttman (1954b), through simplex and circumplex analysis, has shown how this 'law of parsimony' can be applied to a variety of empirical testing of different content areas (Ben-Sira & Guttman, 1971; Guttman & Schlesinger, 1966). In attempting to apply his theory to practical problems of society, Guttman (1944, 1954b, 1959) employed the theory of radex and the 'law of parsimony' to the empirical domains of intelligence and racial attitudes. In the late 1960's and early 1970's, further application of this theory was undertaken as Jordan and others extended the simplex theory to other attitude content areas such as mental retardation (Jordan, 1970; Morin, 1969), racial- ethnic attitudes (Hamersma, 1969; Dell Orto, 1970; Frechette, 1970; Jordan, 1971b; Jordan l972a;Bray, 1972), and drug addiction (Kaple, 1971; Nicholson, 1972). Green (1954) stated that in 1944, Guttman provided a new departure for the analysis of attitude research. Through the scaling of monotone attitude items, Guttman provided a demonstration of cumulative scaling. For an individual taking the scale, if he responds positively to one level on the scale, he should also respond positively to the scale items above that particular level (see Table 11). There were previous studies using similar scales (Bogardus, 1925; May and Hartshorne, 1926), but as a general method of scaling, they were in the main ignored. "It was 73 TABLE 11.~~Scalogram Diagram for Three Dichotomous Itemsa Items 3 2 1 Individuals 1 + + (scale types) 2 _ + 3 - - + 4 _ _ _ aFrom B. F. Green (1954, p. 354). + indicates a positive response - indicates a negative response Guttman who advocated the use of such cumulative items as a basis for a formal method of scaling. His development of scalogram analysis stimulated widespread interest in the method" (Green, 1954, p. 353). Guttman (1944) believed that any system involving the use of scalogram analysis techniques had the advantage over other systems where it was only possible to think of the variables in terms of clusters of unknown factors. Using the system of scalogram analysis, the variables could be placed along a single continuum of interest. In a more thorough analysis of scalogram techniques, Guttman (1950a) stated the basic theory underlying his system. Scalogram analysis is utilized to answer two basic questions: "(a) the determination of unidimensionality and (b) the determination of a fixed point of reference along such a single dimension" (p. 46). For measurements to be meaningful they must lie along one plane of analysis in ,- '- c. . . ‘1 a. Pl! 74 which a fixed point can be determined. Scale analysis (or scalogram analysis) serves as a method for locating quali- tative data along such a single plane, thus making it uni- dimensional. The intensity function gives the data the single anchoring point for the analysis. Scalogram research is based on the following defini- tion of a scale: "It requires that each person's responses shall be reproducible from his rank alone. Each item shall be a simple function of the person's rank" (Guttman, 1950b, p. 62). When this requirement is fulfilled the two other prominant definitions of scales are also fulfilled. That is, "within each item, if one response is higher than another, then all people in the higher category must have higher scale ranks than those in the lower category" and the second definition that "a person with a higher rank than another person is just as high or higher on every item than the other person" (p. 62). Scalogram theory asserts that for any particular sample of questions taken from the universe of scaled items will result in the same rank ordering of individuals. Scale analysis does not attempt to define the content of an area, but rather assumes the content is already defined and tests for representation of the variable in question (Guttman, 1950b). Guttman (1950b) stated that scale analysis can be used for any universe of qualitative attributes, in any .- In. H a 75 science, and through any method of observation. It is especially suited for areas such as attitude measurement and public Opinion (Ben-Sira & Guttman, 1971) where methods for determining methodologically significant data have been largely lacking. Scale analysis provides means of selecting items in a large sample of questions that are representative of the particular unidimensionality of the scale constructed. That a rank order of subjects can be established for material that is qualitative in nature is especially signifi- cant. By means of scalogram analysis, qualitative data can be interpreted through quantitative means; the qualitative variable is given quantitative significance "such that each attribute in the universe of attributes is a simple function of that quantitative variable" (p. 88). In essence, any form of data derived from observation (questionnaires, participant observation, interviews) can be subjected to scalogram techniques. Scale analysis is suited for single-factor analysis of qualitative data, whereas factor analysis is more useful for the study of quantitative data. Factor analysis cannot test the scalability of qualitative variables. In the Spearman-Thurstone tradition of factor analysis, it was not designed to detect if a set of dichotomies forms a scale. Jordan has been using facet theory in his research at Michigan State University; at first, starting out with faceted definitions of the universe of attitudes toward the 76 mentally retarded, secondly, eXpanding this to include attitudes toward the mentally ill, and finally expanding it to other 'personal' attitude object groups, such as race, drug users, and the war disabled. Currently, he is exploring the model to study attitude-behavior toward 'conceptual' attitude objects such as: the role of women, technical education, educational change, the environment, and pOpu~ lation problems. Guttman (l953a) stated that his methods have "demonstrated that image theory is related to common-factor theory but has greater generality than common-factor theory, being able to deal with structures other than those des- cribed in a Spearman-Thurstone factor space" (p. 277). Guttman felt that image analysis encoumpasses the common- factor analysis propounded by Spearman and Thurstone. It was with the work of Jordan and his colleagues that Guttman's structurally precise facet technique and con~ ceptions concerning attitudes, were fused together into an evolving theory of attitude-behavior structure and measure- ment, with its implicit implications for attitude-behavior change. Theoretical Developments in Attitude- Behavior Research As was stated earlier in this paper, Jordan's attitude research involves a combination of two separate streams of thought in psychology. His work involves a 77 combination of rigorous semantic and methodological analysis encompassed within an empirical, theoretical, and descriptive tradition. In synthesizing these two approaches, he is attempting to explain attitude-behaviors through a facet- design approach. The semantic-structural segment of this analysis involves use of the facet theory of Guttman and his predecessors; the empirical-descriptive analysis he uses is discussed in the following section. "Many authors, past and present, would agree that the interaction of individual minds produces a common manner of thinking, feeling, and willing, different from that of 1 single minds in isolation, or from the mere summations of minds" (Allport, 1954, p. 31). This distinction between thinking, feeling, and willing, is crucial in the analysis of Jordan's attitude-behavior research. The beginning of this three-phase analysis of attitude, that of cognition, affection, and conation, can be traced to the time of the early Greek philosophers. "Plato . . . conceived of the mind as made up of three facilities or 'institutions.‘ To Plato abdomen was the seat of emotions or feeling; the breast the seat of striving and action; the head the seat of reason and thought" (Allport, 1954, p. 19). Allport (1954) stated that this trichotomy has persisted to the present time; the terms have been modified by different writers, but the meaning has been retained. Plato had classified 'mind' into: 78 affection (feeling), conation (striving), and cognition (thought). Fechner was one of the first psychologists to use attitude scaling in the scientific framework. As Chaplin and Krawiec (1968) stated, his "methods have stood the test of time to become fundamental procedures in psychophysical :measurements, mental testing, and attitude scaling . . ." up. 40). Titchener, a student of Wundt, brought the new, rixgorous experimentation to the American continent from ELLrOpe. He analyzed consciousness into three basic elements ~ sensations, images, and affective states. In general, Wundt's followers stressed the importance of feelings in analyzing attitudes. Clarke, a student of Titzchener, broke attitude into three conscious phenomena: innéigyery, sensation, and affection. This 'new' psychology of structure concentrated on the Operations and function 'V'i—tzhin' the organism alone. It was necessary for another aspect, that of inter- action between the subject and the object, to be developed 136213(are the work of attitude-behavior research could mature. (PEIEE ZBritish act psychologists, James, Ward, Dewey, Angell, 611.51 Carr were the first to study the interaction between t11433 observer and the observed. Later, in America, Cooley ‘51 Mead took up the act psychologists' interest in the s nub>ject~object relationship, and developed the early group 79 psychology approach by studying the interactive system between two or more subjects. Thomas and Znaniecki, in a 1918 publication, defined attitude as: "individual mental processes which determine both the actual and potential responses of each person in the social world." Further, they defined a .socdal value as "any datum having an empirical context éuzcessible to the members of some social group and a meaning with regard to which it is or may be an object of activity" (Allport, 1954, p. 45). Ward (1920) developed an elaborate system centered artatnid the relation of the active subject to the object. ‘He? (livided the subject matter of psychology into cognition, fee 1 ing, and conation . A predecessor of Ward, James Sully (1892), attempted tx’ cleassify and divide various mental states into distinc- 'tl"€e modes of human expression. The three modes that he <20r1<2Gaptualized were feeling: knowing, and willing. Sully gta\;€2 an example of these three states; it is clear in this e Xelrnl]ple that Sully's analysis involved all three character- feeling, and action. Many is; - _ . . t53Lmcwh mchHmocoo 91 mucmEmumum Hmhum> uoH>mcwm mGOHuom uum>o . A=muomflno mmmHHmn , coa ammo .1!) - mcsuHuum= Hmsuo cam mo mucmEmumum Hmhum> .u. o 4 . (I. mmcsuHuumuill .mmsoum Hmwuom .mmsmmH mmmcommmu Hmoumooumm \\\\ HMHOOm s mGOHUMSHflm powwow - .mamnee>eech Hesseum mo mucmEmumum Hohnm> om , noncommmn u mmd mso>Hmc OHumcummawm [I‘ll/i mmHQMHHm> mehmHHm> meannm> ucmccmmmc mHnmnsmmmz mchm>nwucH usmccmmmccH anmudmmmz mmDDBHefifl m0 ZOHBQMUZOU UHdemmUm 92 there are many subvarieties of behavior and that these sub- varieties had been lumped together in most applied attitude research, producing an intermingling of categories which should have been considered distinct entities from each other. It is also the task of the social scientist to discover the structure underlying the totality of behavior. The relationships between subuniverses of behavior must be discovered, so that each separate behavior class may exist independent of the others. The total structural system, including all these subcategories of behavior will be called the universe, each subcategory of behavior by itself repre- senting a subuniverse of subvariety of the universe of behavior. Certain subcategories of behavior will be more closely related to one another than others and some less related. "A task of the social theorist is to provide an abstract framework whereby to define the subuniverses: the more adequately it explicates the empirical correlations that ensue among the definitions, the better the framework" (Guttman, 1959, p. 318). Guttman's three-facet, four-Level system was an attempt to provide this basic framework. Improving the empirical correlations among the Levels is what Jordan has attempted to do, by adding two Levels and two facets and refining the items in the scales he has developed. "Comprehension of the multivariate system of the universe can lead to larger theories of relations with 93 other universes, and thus to more and more perfect multiple correlations for each variety of behavior separately" (Guttman, 1959, p. 318). Jordan has been attempting this with his Attitude Behavior Scales. The first scale involved the mentally retarded as the attitude object. Summary Guttman (1959) noted that "proceeding from a semantic structure to a statistical structure appears necessary in order to relate abstract social theory to empirical research" (p. 319). This was what Guttman attemp- ted; his conceptualizations were based on strict, methodo- logical rigor founded on developments following the factor analytic techniques of Spearman and Thurstone. Through semantic restructuring of the variables in Bastide and van den Berghe's (1957) research, he rearranged the design and applied statistical analysis to the data. Bastide and van den Berghe's work was consistent with the cognitive- affective-conative analysis dating back to early Greek philosophy. Jordan (1968) found the system lacking especially in the 'conative dimension' and somewhat in the 'affective domain;' thus, he extended the four levels to include a more comprehensive view of the cognitive-affective- conative trichotomy. Guttman's "continguity hypothesis" prOposed that variables of Levels with more similar facet elements are 94 more related than those with less similar elements. Levels closely related to one another may form a hierarchical relationship or simplex. The interrelationships among variables will be posited by the hierarchical order among the facets (Foa, 1968). Guttman (1967) proposed the following faceted definition of varieties of racism: ((belief) ((1ndividual's) "Racism = that the z(action) 2(individual's group) (comparative) behavior of a nature vis-a-vis another (interactive)§ group it regards as racially different from itself (ought to be)l unfavorable to the group presumed to be (actually is)) racially different." "To increase the predictablity would require enriching the facet design (i.e., of the previous varieties of racism), or placing these behaviors in a larger context" (Guttman, 1959, p. 327). Chapters III and IV explore racism, prejudice, and color-labelling as prerequisite to developing a more complete facet design, in Chapter V, for the study of racial attitude-behaviors. CHAPTER III RACIAL ASPECTS OF PREJUDICE Racism is not a new phenomenon. Men have long tried to identify themselves not only as individuals but as members of social groups; and to set up viable social groups, they have thrust others out. These 'others' have been differentiated in various ways, for instance, according to clan, tribe, nation, estate, or class. The forms change, but the process of self- definition is seemingly endless. And all these 'others' have one feature in common: they are never quite as good as the self. Some mysterious tag of devaluation is attached to the other person as his essential point of distinction from the groups of selves (Kovel, 1970, pp. 13-14). Introduction This chapter discusses how racial aspects of prej- udice relate to race labelling, language, and the cognitive, affective, and behavioral aspects of attitude. There is a definite interaction between race labelling and prejudice; research indicates that both contribute to the negative images white people have for blacks. The exact relationship between racial labelling and prejudice is still vague. To understand race prejudice, recent theories have attempted to analyze attitude through division into its three compo- nent levels: cognitive, affective, and behavioral. The historical origins of this tripartite classification were discussed in Chapter II. Jordan's (1971a) research is one 95 qt—e 96 of the sole theories to posit a tripartite attitude theory that also instruments a statistical analysis of these three components. The present study is an attempt to relate Jordan's theory to research begun by Williams (1964, 1966, 1969) on racial concepts and language. Race Labelling» One major outcome involved in the process of 'race labelling' is the process of creating a stereotype. As will be evident in the following discussion, not all 'race labelling' creates stereotypes, but a large proportion of it "a does. Vinacke (1956, p. 107) defined stereotyping as tendency to attribute generalized and simplified character- istics to a group of people in the form of a verbal label." (The black man in the United States has been given a label as 'black,‘ 'dark,‘ 'colored,‘ 'Negro' at various times in the history of this country. (With many of these labels has come negative connotations, negative stereotypes that have accompanied these labelsilgThese labels carried with them society's attempts to devalue the ability, power, and pres- tige of people so labelled.) As one observer noted, blacks "discovered that their determination to do the right thing had blinded them to the wrgng thing 'the man' was doing, as he suggested to them how important it was to be a good 'Negro' teacher or a very fine 'Negro' social worker or psychologist or psychiatrist." In large part, black people failed to see 4’ “I .x 97 the true meaning given the adjective 'Negro' and the decreased value that had been placed upon it (Grier and Cobbs, 1971, p. 129). M. B. Smith (cited in Baughman, 1971) felt thatithe word and category 'Negro' is an American creation, closely associated with the slave period. The term does not des- cribe nor fit blacks in Africa, and he suggests that black Americans should refrain from using the term, and that white Americans do likewise. The term 'Negro' was imposed \ , r.“ upon black individuals; whereasxthe label 'black' was a self- c. , ' ‘\ chosen one, one that connotes respect and pride.) ’3 f n 4 In a study conducted in 1968 on the South Side of Chicago, blacks preferred the term 'Negro' to other options, -.\ ) such as 'black,’ 'Afro-American,‘ and 'colored'](Baughman, 1971). However, Baughman felt thatithe younger, more articulate, and more militant blacks prefer to be called \\ n g" 'black' rather than 'Negrq;' the term 'Negro' is often seen as a label imposed upon blacks by the white society, \ instead of a voluntarily chosen one.3 Baird (cited in Bennett, 1967) objected to the use to of the wordCloser identification with African culture and heritage seemed to be the next step that both Moore and Bennett would desirea; The most appropriate term to use would seem to be the one that is most voluntarily chosen and desired by blacks. 2; Q The word 'Negro' was not fully accepted as the desig- nation for black peOple until early in the Twentieth Century. Acceptance of it was very slow until that time, but after it became accepted, there was little opposition to the term from either blacks or whites. The NAACP, founded in 1909, chose the term 'colored' over 'Negro')(§222y Photo-editorial, 1968). Recently, pressure has been put on the NAACP by black power advocates to change its name to NAABP~~Nationa1 Association for the Advancement of Black People. “A, I ¢ (\A survey was conducted by Ebgny magazine during 1967- 1968, to examine the choice of a term by subscribers of the magazine. Although the authors stated that the study in no way involved scientific sampling, the results were inter- esting. Of the 2000 people who responded (one-tenth of one per cent of EEEEX readers), 48 percent preferred the term 'Afro-American;' 23.3 percent preferred 'black;' 12 percent preferred 'African American;' 8.1 percent preferred 'Negro' and 3 percent preferred thechoice 'colored' (Ebgny.Photo- editorial, 1968, p. 164):€:This survey indicated that blacks definitely do not prefer the term 'Negro' any longer.2> 99 Jordan (1971a) and Hamersma (1969) felt that presently the black community prefers use of the word 'black' over 'Negro.' They constructed Attitude Behavior Scales for measuring racial attitudes of blacks and whites toward each other. The scale given to blacks, measuring their attitudes toward whites, uses the word 'black,‘ while the scale given to whites and measuring their attitudes toward blacks, contains the word 'Negro' instead of 'black' as the attitude object. Jordan and Hamersma\(1969) explained that this procedure was followed because of(The struggle against this racism provided the basis from which black culture grew and flourished) Blauner's arguments against black assimilation into the mainstream Of American life are not totally justifiable. Many minority groups have assimilated into American culture while still maintaining their distinct sub-culture charac- teristics. There is little reason to assume that blacks could not make a similar transition without losing their 109 African ethnic-group identity. White acceptance of blacks and black culture would help facilitate this change. J. H. Clarke (1969, p. 16) poignantly portrayed the dilemma the black man was placed in when he was transposed from his African homeland and thrust into a country totally foreign to his being and life—style. L (”The Africans . . . were neither respected Africans ‘ nor accepted New World Americans. They were renamed, and became a marginal branch of the human family now referred to as NegroesJN The Europeans needed a rationale for their actions*and a rationale was created with supporting concepts. The cruelest concept ever devised by the mind of man was created to support the slave trade and the colonial system that followed-~the concept of race and the assump- tion that there are superior and inferior races. The Africans were depicted as people without a history who had never properly handled power and who, certainly had made no contribution to the development of human cultures. And thus, the seeds of the present day conflict were planted. In a discussion of black self-concept, Proshansky and Newton (1968) stressed the dire effects of slavery and the caste-class system that followed. They saw the conse- quences of slavery as resulting in a double burden for black Americans: one being the devastating psychological effect and the second being the social and economic inequities. Besides the social and economic impositions of poor and inadequate housing and schools, unemployment and under- employment, inferior jobs, was the less visible but equally serious consequences Of low self-esteem, identity conflicts, and feelings of helplessness and hOpelessness. 110 Seward (1956) insisted that blacks must be judged from their own subculture, not from standards set up by the dominant white culture. By viewing black individuals from the dominant culture, deviations are seen that are not deviations when living or considered from the values of the subculture. The Relationship Between Language and Racial Prejudice According to Podair (1970) language can have a definite influence on the learning of prejudice. Language can shape ideas and concepts in both conscious communication and unconscious thought. It has contributed to the stereo- types generated against the black individual and the develop- ment of racial prejudice (Podair, 1970). The studies by Osgood and by Williams and his associates have shown how important the meanings of words are and how they can give previously neutral concepts negative connotations. Podair (1970, pp. 388-389) stated that concepts such as blackball, blackbook, and blacklist, "cannot be considered accidental and undoubtedly would not exist in a society wherein whites were a minority. Historically, these concepts have evolved as a result of the need of the dominant group to maintain social and economic relationships on the basis of inequal- ity if its hegemony was to survive." Podair (1970) discussed the connection between the negative affective meanings associated with the word black 111 as it effects the black child, and how the unfavorable connotations effect as well the white child's perceptions of the meaning of black. These negative meanings are then carried into and through adulthood. The term 'black sheep' is utilized in all segments Of our society to denote an individual who seems almost completely immobilized in his efforts to effect an adjustment to his environment that could result in fulfilling personal, familiar, and community responsibilities . . . The acceptance Of the term 'black sheep', however, assists in the creation of a stereotype of Negro 'irrespon- sibility' which has become so valuable to the advocates of prejudice (Podair, 1970, p. 398). Podair (1970) saw the language of a society as reflecting its social values and attitudes. As a society changes, the thinking and speech patterns will also change. Thus, the symbolism behind the concept black and white may change as our society rids itself of prejudice. "Until that time, however, the relationship of language to preju- dice towards the Negro will be of import to the social scientist working to meet the challenges arising out of the problems Of race relations in present day America" (Podair, 1970, p. 391). Another view1 is the argument that the negative connotations of the word 'black' may persist even in a society free of racial prejudice. The negative connotations might be seen in a Manichean sense which describes the forces Of darkness and light in Opposition. 1Personal communication with Dr. Maryellen McSweeney, College of Education, Michigan State University, Oct. 5, 1972. 112 Following this line of reasoning, it would be conceivable that a people could be called 'black' without it having negative connotations attached ot it. The color 'black' might still be used for things considered negative, but this does not necessarily have to generalize to the black peOple. Citron (1969) discussed what he labelled, "the whiteness of the world Of the white child." The white child living in a world of whiteness builds feelings of the "rightness Of whiteness" into his personality. Everything associated with white and light colors (i.e., white skin) is perceived as acceptable and good, while dark skin and dark colors are associated with quite the Opposite. As the child develops, this feeling of "white is right" becomes what Citron calls "a white-centric world." The norm is white; others Of different color are judged by it. This develops into an inferior—superior dichotomy. K. Clarke (1963, cited in Citron, p. 4), noted that ". . . children's attitudes toward Negroes are determined chiefly not by contact with Negroes but by contacts with the pre- vailing attitudes toward Negroes. It is not the Negro child, that influences children." Citron cited studies by Goodman indicating that white children, early in life, develop an emotional rejection of blacks. One positive note, however, was that a recent study (Triandis, Malpass, and Davidson, 1972) found that black children no longer chose 113 the white doll, but indicated a preference for the black doll in a laboratory situation; earlier studies by Clark (1947) indicated that black children chose the white doll over one of their own color. As Williams' (1964, 1966, 1969) studies indicated, white is seen as a symbol of rightness, cleanliness, goodli- ness, purity and beauty, while black is seen as sin, dirt, and impurity. Historically, white has dominated cultures; the children expressed the same racist notions imbedded within their particular culture (Citron, 1969). Citron noted that the fear and rejection of black becomes established in children long before they have the 'rational' content to support these ideas. Centuries of white imperialism over darker peoples, over three hundred years of the institution of slavery in this country, and a quasi-caste system since the days of Reconstruction, have produced concepts and language forms fitting the needs of the dominant group. These forms play their part in forming the habits of thought of children. There has been generated a mythology of racism, with its stereotypes of primitiveness, immorality and dangerousness (Citron, 1969, pp. 13-14). Citron (1969) felt that one language form used to encourage the racist philoSOphy was the "contrast-terms," black and white. These Objective words are given super- ordinate, subordinate meaning and emotional affect. This was similar to the general conclusions Williams and his associates had reported (cited in Chapter IV), except that Williams attributed more to the actual negative value of 114 the color, 'black.‘ Thus, it can be seen how crucial words and language can be used in the perpetuation Of a racist system. As Citron saw it "racism invests skin color with an enormous and completely irrational salience in our country" (p. 14). Although the literature shows how the color 'black' has been given negative connotations throughout history, it appears that prejudice and racism in this country has given black people a negative connotation, not just the color, 'black.‘ As Citron (1969, p. 17) concluded: It is Whites as a group who enforce the repressions Of the racist system and every White, especially those in middle and upper class positions, because they have more political and economic power, should be actively involved in destroying racist arrange- ments, practices, exclusions, double standards, folk- ways and institutions, and should be actively involved in building the conditions of equality. Cognitive, Affective, and Behavioral Aspects of Racial Attitudes Mann (1959) in a discussion of the relationship among cognitive, affective, and behavioral aspects Of race prej- udice, stated that few studies have attempted to consider all three Of these aspects and whether or not they are related to each other. His study found possible evidence Of a relationship among the three, but he stated that the evidence for the relationship was not conclusive. For black college students, he found a positive relationship among the three aspects of racial prejudice. However, for white students no positive relationships were found and a 115 negative relationship was found between the affective and behavioral aspects Of race prejudice. Insko and SchOpler (1967), in a paper on triadic consistency reported the philOSOphy of the relationship among attitudes, cognitions, and behaviors. According to this theory, there was a tendency for these three aspects to be related. The authors stated that, in Operational terms, "there is a probabilistic relation between holding certain beliefs and attitudes and manifesting certain behaviors" (p. 366). Kothandapani (1971) also cited evidence indicating a relationship among these three com- ponents of behavior. In a schematic View of attitude, Rosenberg and Hovland (1960), cited affect, cognition, and behavior as the three measurable dependent variables of the intervening variable of attitude. Jordan's (1971a) work has attempted.to show the relationship between cognitive, affective, and behavioral components of attitude and has developed a simplex struc- tural relationship among these aspects in a number of studies involving race and attitude (Frechette, 1970; Jordan, 1971a, 1972; Williams, 1970). Conclusion Racial differences are comparatively minor, except for a few physical features. It has been man himself who has blown these differences entirely out of proportion 116 and hence, created artifically marked distinctions among the races. Through labelling people as different, man began the process that led to what we now refer to as racial prejudice. A race is given a label, the label is then associated with negative connotations, and inferior and superior races are created. The actual labels them- selves may mean very little; it is the emotional concep- tions underlying them that give them their power. It is not so much the labels that are used, but how they were implemented and what they mean-~the attitudes behind the labels. Perceived voluntariness Of choosing a particular racial name is one important variable as to the meaning invested in the term. The ability to create pride in the label is another important feature of racial terminology. Both Of these variables are important for the race so named to develop and maintain positive attitudes of self. Once a race has a positive self-concept, it becomes more difficult for other races to devaluate them. Thus, although a racial label may play a small part in the formation of attitudes and prejudice, its presence is indeed felt. Angeles (1971) in his book on understanding the black eXperience, perhaps summed up best the dilemma of the racial situation between black and white peOple in this country, a dilemma he felt should not exist. He introduced his book thusly: "This book is absurd. Its author assumed 117 that it can help non-blacks begin to realize a love for the black, but this love they should already have, if for no other reason than that we are all alive and struggling for a life Of decency and brotherhood" (p. 11). This is but one area of research concerned with attitudes. Before we can reach any definite conclusions we must arrive at a more refined definition of attitude. The Guttman-Jordan system is an attempt to do this. Their analysis includes not only theoretical notions of attitude, but also a semantic methodological system of measurement accompanying their theoretical conceptions. CHAPTER IV RACE, COLOR-LABELLING, AND THE SEMANTIC DIFFERENTIAL Black is when they say '. . . one nation indivisible with liberty and justice for all . . .' and you wonder what nation they're talking about (T. Brown, Jr., 1969). Introduction The history of word symbolism illustrates how 'black' has been associated with negative connotations, while 'white' has usually been associated with positive characteristics. Osgood (1957) developed the Semantic Differential to measure word meanings. Williams (1964, 1966, 1969) applied this Semantic Differential technique to the study of color sym- bolism and race. His research has supported the observa- tion that, in American culture, black is generally associated with 'badness' while white symbolizes 'goodness.;> Other studies (Jenkins, Russell, & Suci, 1958; Osgood, 1973; Williams, Best, Wood, & Filler, 1971; Williams, Tucker, & Dunham, 1971; Lessing & Zagorin, 1972) concur with this conclusion. Williams and his associates tested these results in the laboratory (Williams & Edwards, 1969) and also cross-culturally (Morland & Williams, 1969; Williams & 118 119 Carter, 1967). Two of Williams' recent studies (Williams, Best, Wood, & Filler, 1971; Williams, Tucker, & Dunham, 1971) evaluated the changes occurring in word connotations between the years 1963 and 1969. These studies related some interesting findings that ran contrary to some of Williams' earlier results. Osgood (1973) discussed universal trends in color preferences, connotation, and association. This study supported the notion that blackness and 'badness' are associated, and white and 'goodness' are associated, and that these associations still exist and exist cross-culturally. Word Symbolism Racial overtones associated with the words and con- cepts used for blacks and other non-whites were evident in the language of the very earliest settlers of America. This special language was used first to define lower status for non-whites and later to justify the status that had been assigned to them (Schwartz and Disch, 1970). In an historical anthology and extensive review of the literature on the roots of racism, Schwartz and Disch (p. 6) stated that "before the close of the fifteenth century, the words 'soiled' and 'dirty' first became the linked with word 'black'. By 1536, 'black' connoted 'dark purposes', 'malignant', and 'deadly'; by 1581, 'foul', 'iniquitous'; by 1583, 'baneful', 'disastrous', and 'sinister'.' Osgood's (1973) cross-cultural study indicated that black and dark colors universally represent negative perceptions. 120 Even the Bible contains associations Of black and badness, white and goodness. Throughout, similarities can be found linking words such as black, evil, damnation, despair, and sin. The New Testament has similar associa- tions between blackness, darkness, and evil (Schwartz and Disch, 1970). "The impact of biblical color imagery was inevitably reflected in the works of the great English writers from Chaucer to Milton" (Schwartz and Disch, p. 7). The symbolism involved in the two terms has differ- entiated black and white, so that these words have become polar opposites. As Fanon (1967) has stated, whiteness has been associated with all things good (i.e., white dove of peace, the bright look of innocence) while blackness and darkness have been associated with quite the opposite (i.e., abysmal depths, the labyrinths of the earth, blacken one's reputation). Fanon continued to state that in all civilized countries, the Negro is the symbol of sin; a white child is looked upon with much admiration and joy, while the black child receives none of this adulation and respect. He did not define what he meant by 'civilized' countries, but it appears he meant 'industrialized' as Opposed to 'developing' (or 'pre-industrialized') nations. R. L. Williams (1972), in a discussion of the changing image of the black American, stated his belief in the importance of terminology in the images that are asso- ciated with blacks. By modifying a noun with the adjective 121 'Negro,' it sets it aside from the dominant group. "The adjective does what it is supposed to do, 'describe and limit.‘ The prefix 'Negro' establishes a great deal Of restrictions on the noun it modifies" (p. 68). Discrimina- tion in the areas Of jobs and housing in America supports these conclusions of Williams. The Semantic Differential Technique The most extensive studies using the Semantic Differential technique as a measure of semantic meanings was undertaken bytflmzoriginator Of the scale, C. E. Osgood, and his associates at the University of Illinois. J. Williams and his associates, using the Semantic Differential techniques, applied the scale technique to the concepts of race and color. The rest of this chapter will be devoted to a discussion of the Semantic Differential technique as devel- Oped by Osgood (1957) and the applications devised by Williams (1964, 1966, 1969) and subsequently by Lessing and Zagorin (1972)- Osgood, Suci, and Tannenbaum (1957) discussed the methods through which the Semantic Differential technique was devised and the meaning and reasoning underlying it. They saw the concept Of 'meaning' as a relational device and have attempted to establish psychological meaning for concepts which are then applied to use in the Semantic 122 Differential. As they saw it, "the Semantic Differential relates to the functioning of representational processes in language behavior and hence may serve as an index of these processes" (Osgood, Suci, and Tannenbaum, 1957, p. 9). They saw language signs as having certain psychological meanings and with this prOperty can be used in a consistent manner in situations to produce certain behaviors that will then contain social meaning. The consistency of behavior in situations also gives meaning to the processes that are represented semantically. The Semantic Differential is an attempt to measure a certain type of meaning (attitude) through a small sample of words that vary only along the dimension being measured and are largely insensitive to any other sources of variation. A concept in the semantic Space is defined by mediating variables composed Of antagonistic pairs and varying along an intensity variable. Each polar word group in the semantic scales is associated with mediating processes, depending largely on the polarity of the terms, and its intensity determined by the seven categories (spaces) in between the two words of the pair. Which of the seven spaces chosen by a particular individual depends upon a media- tional process of selection involving an intensity variable: Through the functioning of a generalization principle, the concept will elicit checking of that scale posi- tion whose dominant mediator component most clearly matches in intensity the corresponding component in the process associated with the concept itself. 123 Since the positions checked on the scales consti- tute the coordinates Of the concepts' location in semantic space, we assume that the coordinates in the measurement space are functionally equivalent with the components Of the representational media- tion process associated with this concept (Osgood, Suci, and Tannenbaum, 1957, p. 30). NO general Semantic Differential scale has been devised; rather, each specific research project using the scale should adopt Semantic Differential words which are both representative and relevant to their particular area of interest. Words should be chosen that take into account individual differences, representativeness, relevancy, and semantic stability (Osgood, Suci, and Tannenbaum, 1957). Reliability for a Semantic Differential high on the evaluative factor, was established through test-retest correlation data. For one hundred subjects who took forty- item scales, the reliability coefficient was equivalent to .85 (Osgood, Suci, and Tannenbaum, 1957). Osgood, Suci, and Tannanbaum (1957) stated that since there was "no commonly accepted quantitative criterion Of meaning,‘ 'face validity' must be used as the sole measure of validity for the Semantic Differential. Validity studies have been run on the 'evaluation' dimension. Two comparison studies were reported by Osgood, Suci, and Tannenbaum, one comparing it with Thurstone scales, the second with a Guttman—type scale. "The correlation between the Semantic Differential scores and the corresponding Thurstone scores is significantly greater than chance 124 (p < .01) in each case, and in no case is the across-tech- niques correlation significantly lower than the reliability coefficient for the Thurstone test . . . It is apparent, then, that whatever the Thurstone scales measure, the evalu~ ative factor Of the Semantic Differential measures just as well" (pp. 193~l94). In comparison with a Guttman scale, the rank order correlation between it and the 'evaluative' factor Of a Semantic Differential scale was highly significant (p < .01). Osgood, Suci, and Tannenbaum concluded that the Guttman scale and the Semantic Differential scale were, to a consid- erable degree, measuring the same thing. The semantic factors have been validated through factor analytic pro- cedures. "When the intercorrelations among many scales are factor analyzed and certain basic factors, such as evaluation, potency, and activity, repeatedly appear, we assume that these factors correspond to the major dimensions which people 'naturally' and 'spontaneously' use in making meaningful judgments" (Osgood, Suci, and Tannenbaum, p. 143). Osgood, Suci, and Tannenbaum (1957) defined attitude as primarily the 'evaluative' component of their Semantic Differential model. They acknowledged that other factors, 'potency' and 'activity' being the most contributive, do add to attitude, but that evaluation is the prime charac- teristic. Attitude was defined by Osgood, Suci, and Tannen- baum (1957, p. 190) as "a learned implicit process which is 125 potentially bipolar, varies in its intensity, and mediates evaluative behavior." It was viewed as an internal media- tional (or guiding) activity working between stimulus- response behavior. This model posits attitude as part of the semantic structure of an individual. Factor analysis is the method of choice to ferret out from meaning, the component that is attitude. In their research using factor analysis, Osgood, Suci, and Tannenbaum (1957) have identified the evaluation component; it has usually been found to be the dominant factor. "It seems reasonable to identify attitude, as it is ordinarily conceived in both lay and scientific language, with the evaluative dimension Of the total semantic space, as this is isolated in the factorization Of meaningful judgments" (p. 190). Osgood, Suci, and Tannenbaum (1957) stated that they were measuring attitude, which they defined as primarily the 'evaluative' component Of the Semantic Differential. It is probable that they indeed were measuring a part Of attitude, but attitude is a very complex variable composed of many facets, and it is unlikely that their measure takes into account all of attitude. Their scale consists mainly Of cognitive items, and does not attempt to measure any of the action (conative) component of attitude. In terms of the Operations of measurement with the semantic differential, we have defined the meaning of a concept as its allocation to a point in the 126 multidimensional semantic space. We then define attitude toward a concept as the projection of this point onto the evaluative dimension of that space. Obviously every point in semantic space has an evaluative component (even though the component may be of zero magnitude, when the evaluative judgments are neutral), and, therefore, every concept must involve an attitudinal component as part of its total meaning (Osgood, Suci, and Tannenbaum, 1957, pp. 190-191). Osgood indexed attitude by using concepts that have been shown to be high in evaluation. Test-retest reliability data from various studies using this method has ranged from between .87~.93; the methods have displayed considerable face validity. Jenkins, Russell, and Suci (1958) conducted a normative study of the Semantic Differential in which 360 words were rated on 20 scales by 18 groups Of 30 subjects. Test-retest reliability for this study was .97. Studies that have used both Thurstone and Guttman scales lend evidence to the notion that the evaluative dimension of Osgood's Semantic Differential is a measure of attitude. Osgood believed that the evaluation factor of the Semantic Differential can be used as a generalized attitude scale (Osgood, Suci, and Tannenbaum, 1957). Since their test measures primarily the cognitive component, it is question- able whether it can be considered a general measure of attitude. Osgood, Suci, and Tannenbaum have no methodologi- cal Or statistical system to support their theoretical system; Guttman (1959) felt that to develop a sound theory, it must have a sound structural basis, as well as a semantic definitional system. 127 To improve prediction of attitude, other dimensional scales may be added to the evaluation dimension. "The rela- tive weights of these factors have been fairly consistent: evaluation accounting for approximately double the amount of variance due to either potency or activity, these two in turn being approximately double the weight of any subsequent factors" (Osgood, Suci, and Tannenbaum, 1957, p. 325). Osgood stated that two individuals may have the same atti- tude toward a certain concept (i.e., Negroes; abortion reform) as measured by the evaluation factor, but the concept may have quite different meanings to each individual rating it. Tannenbaum ran a study where one individual rated the concept, THE NEGRO, as unfavorable, strong, and active, whereas another rated this concept equally unfavorable, but also as weak and passive. NO behavioral data were available, but Tannenbaum felt that these two individuals would behave quite differently if put in similar situations. "While it is true that different attitudes imply different behaviors toward the Objects specified, at least in some contexts, it is not true that the same attitude automatically implies the same behaviors" (p. 190). The greatest crit- icism Of this conception, was that no systematically measured behavioral data were used. Clinical Observation alone is a weak basis for a theory of attitude. Fishbein (1965) saw Osgood as presenting attitude as a unidimensional concept. Although Osgood stated that the 128 definition Of attitude included more than merely the eval- uation factor, Fishbein (p. 108) felt that Osgood's defini- tion involved only the "evaluative meaning of an Object or a concept-~its 'favorableness' or 'unfavorableness', its 'goodness' or 'badness'." "Fishbein and Raven (1962, cited in Fishbein, 1965, p. 109) suggested a definition of belief that is analogous to Osgood's (1957) definition of attitude". Of the six types Of beliefs (on the following page), in Fishbein and Raven's definition, the first four involved the cognitive component or structure while five and six were concerned with an individual's behavioral intentions or the action component of belief. Although not stated by these authors, it appears that the affective component would be involved in Levels 4 and 5 of the Guttman-Jordan system. Their definition would then include the cognitive-affective- conative trichotomy; since they see their definition as analogous to Osgood's definition of attitude, this would lend support to the belief that Osgood's definition included these three elements. These six types of beliefs have been classified as follows: 1. Beliefs about the component parts Of the Object; 2. Beliefs about the characteristics, qualities, or attributes of the object; 3. Beliefs about the object's relations with other Objects or concepts; 4. Beliefs about whether the Object will lead to or blOCk the attainment of various goals or 'valued states'; 129 5. Beliefs about what should be done with respect to the Object; 6. Beliefs about what the object should. or should not, be allowed to do (Fishbein, 1965, pp. 110~ 111). Osgood (1965) ran cross-cultural comparisons on a semantic differential scale using concepts high on evalua- tive loadings, indicative of Osgood's definition of atti- tude. Intercorrelations were performed in seven countries invOlving one hundred common concepts. On three dominant factors of evaluation, potency, and activity, Osgood found that they existed across all cultures that he studied. He concluded that these factors represent common semantic dimensions, and are not related to specific cultures. There exists a common meaning system, panculturally; individuals use similar symbolic dimensions in organization of their thoughts and their experiences. Osgood pointed out that this is one aspect of language that has been found to be universal. Therefore, this method can be used to measure 'subjective culture'~~meanings, attitudes, values, customs~~across different cultures and languages (Triandis, 1972). Brinton (1969) used Guttman scale analysis in deriving an attitude scale from Semantic Differential data. He found this method useful "in testing dimensionality of the selected adjectives and in ordering individuals on the dimension" (p. 473). 130 Color Labelling and the Semantic Differential Williams and his associates have been conducting studies using the Semantic Differential and applying it to the concepts of race and color. In one Of his earliest studies, Williams (1964) confronted the question of whether the words, 'black' and 'white,'could carry a meaning that would encourage or maintain the learning of race prejudice. He cited evidence indicating the negative use that the word or color, 'black,‘ has in our society; in each example, blackvwnsassociated with something unpleasant and had a connotation of badness. Some of these symbolic meanings that Williams (1964, p. 721) cited include: "things look black, to blacken one's reputation, blackmail, black list, blackball, black sheep".) Religion and the supernatural contain much of the same: devils and sin as black, angels and heaven as white. In all types Of literature from children's stories to the mass media the same type of black-white symbolism is found. Researchers have devoted little time or effort to this black—white word dichotomy. "The Observations lend support to the generalization that, in our culture, black symbolizes badness and white sym- bolizes goodness" (Williams, 1964, p. 722). Jenkins, Russell, and Suci (1958) found that 'white' and 'light' were given a positive rating, while 'dark' was evaluated negatively. Other studies (Fanon, 1967; Podair, 1970; Triandis 1972) supported Williams' conclusions. 131 In one study, Williams (1964) found a high degree Of consistency in evaluation Of color names. "Color names were shown to be quite similar across both geographical and racial lines providing strong support for the notion that the connotations of colors are learned via experiences common to most persons in our general culture" (p. 728). Both white and black persons evaluated the color name white more positively than they evaluated the color name black. Black and white were given quite different ratings on the three factors Of 'evaluation' (E), 'potency' (P), and 'activity' (A). On both potency and activity, significant differences were found. The color name black was given a rating of 'strong' by both black and white subjects; white was rated as 'weak.' These subjects also rated black as somewhat 'passive' and white as somewhat 'active.’ These resultsvmnxgsomewhat different than past results. Usually, P and Awere slightly positively correlated with E; here, the results of P and A correlatedixiopposite directions (Williams, 1964). Of the ten color names tested, black received the most negative rating on the evaluation dimension. Williams (1964) cited a study by Staats and Staats (1958) that stated that evaluative meanings can be conditioned and modified by regular association with other words having a positive or a negative connotation. A laboratory study by Williams and Edwards (1969) illustrated successful condi- tioning to the words 'black' and 'white.‘ 132 From this, one predicts that the regular associa- tion of the term Negro with the term black, and the association Of Caucasian and white, would tend to condition the connotation of 'badness' to the former and 'goodness' to the latter. Such an effect could be a significant background factor in Caucasian prejudice against the Negro, serving to facilitate the original learning Of prejudice in childhood and to support prejudice among adults (Williams, 1964, p. 730). The principal conditioning probably occurs in the above model; however, once prejudice has been established, some conditioning may occur in the Opposite direction. A 'vicious circle' of mutual reinforcement may then be set up. This cause-effect relationship is still unclear and additional studies are needed (Williams, 1964). The impor- tance of this study lies in the discovery that once preju- dice is learned, small reinforcements can lead to mainten— ance of the original prejudice. There is ample Opportunity in our society to maintain this 'vicious cycle' Of prejudice once learned in early childhood. In another study, Williams and Carter (1967) found further support for the idea that designation of a group by a color name influences perception of that group by others. "Triads of concepts linked by the color code (e.g., Black-Black person-Negro) were significantly more similar in connotative meaning than were triads Of concepts not so linked (e.g., Black-Red person-Oriental)" (p. 19). This study was repeated in Germany to discover if the findings were specific to American culture or whether they had 133 greater generality within Western culture. Similar results were found in the German sample. Williams and Roberson (1967) found that the develOp- ment of racial attitude and color meanings occur at about the same time, with develOpment of racial attitude occurring slightly sooner. "This result does not support the earlier hypothesis (Renninger and Williams, 1966) that the black- white color meanings are learned first, and provide a frame of reference for the learning of evaluative responses to racial groups designated as 'black' and 'white'" (p. 687). Williams and Roberson concluded that the color—meaning factor acts more as a reinforcing element in the develOp- ment of prejudice in childhood. Another cross-cultural study using the Semantic Differential examined attitudes of five different groupings of peOple in four societies. Morland and Williams (1969), using the Semantic Differential developed by Williams in 1964, tested college students representing the following groupings: American Caucasian and American Negro, Asiatic Indian, German Caucasian, and Hong Kong Chinese. For the American samples, white attitudes for this new study proved similar to white attitudes tested in 1964. The attitudes of blacks did change. Both words 'Caucasian' and 'American' were given less favorable ratings in the latest study; 'American' was given a rating much closer to the concept of 'Caucasian' than to the concept 'Negro.' These blacks rated 134 'African' more positively than the comparable sample of blacks tested in 1964, and rated 'Negro' higher than 'Friend' in the more recent study. Morland and Williams (1969) con- cluded "that these indications of changes in attitudes reflect the feelings growing out of a heightened sense of racial identity among Negro Americans." The authors noted that a limitation of their studyvmusthat "the evaluative factor of the Semantic Differential measures the direction of the attitude rather than its content" (p. 110). Williams and Edwards (1969) discussed a laboratory study involving preschool children and the modification of color and racial concept attitudes. They attempted to modify attitudes through laboratory reinforcement conditioning procedures. The results of the study indicated that the negative associations of black can be reduced, the positive association of good with white can be weakened, while not creating a reversal of the associations with these colors. The possibilities for use and application of this principle on a larger scale merits further investigation. The study can be viewed as providing evidence in support of the hypothesis concerning a functional link between the black-white concept attitude and the racial concept attitude; children whose black- white concept attitude had been weakened subse- quently showed somewhat less tendency to evaluate Negroes negatively and Caucasians positively. The change in racial attitude attributable to the experimental treatment, however, was not great (Williams and Edwards, 1969, p. 748). 135 Williams (1970) tested the relationship of color- coding practice to the perception of racial groups. Tradi- tional color-coding practice associated Caucasians with the color white, Negroes with the term black, Orientals with yellow, American Indians with red, and Southwest Asians with the color brown. "Color coding might operate as a background factor in the development and/or maintenance of attitudes toward racial groups" (p. 38). Each of the ten color names studied by Williams (1964) was paired with the word 'person' (black person, white person, brown person, yellow person, red person, blue person, green person, purple person, orange person, and grey person) and evaluated on the three dimen- sions, evaluation (six concepts), potency (three concepts), and activity (three concepts). Results for Caucasian subjects indicated that racial concepts do have connotative meanings similar to their color names. The most consistent findings were for the evaluation factor; less consistent results were found for potency and activity. Williams stated that this is important since Osgood, Suci, and Tannenbaum (1957, p. 193) pointed out that "score variation along the E dimension covaries closely with the score variation on conventional attitude tests." Caucasian subjects rated Caucasians most favorably, Asiatic Indians and Negroes least favorably. This compared with their evaluative ratings of color names. Williams concluded that "while the direction of cause and effect cannot be 136 demonstrated here, these data are consistent with the notion that the evaluative connotations of color names applied to racial groups are one determinant of the favorability of attitudes toward the racial groups" (p. 47). Williams (1969, pp. 384-385) "found that subjects wh0\fifiwmxithe color name Black more positively had somewhat more favorable attitudes toward Negro persons, while subjects who viewed Black more negatively had somewhat more negative attitudes." A suggestion by Williams (1970) to remove the possible detrimental effects of this color code-racial concept asso— ciation would be to eliminate the reference to racial groups by color names. This, he felt, would eliminate one crucial channel that has been reinforcing negative connotations. The variable of voluntariness must be considered. Positive factors derived by blacks being able to choose their own 'label' (whichever they may desire), may account for greater gain than any negative loss through association with negative concepts. Renninger and Williams (1970) found similar results in their study of preschool children. At a very early age, children learn the associations of the word black with negative concepts and white with positive conceptions. This can easily generalize to persons or groups of persons labelled black, brown, white, etc.; hence, the learning of. the language and affect of prejudice. These authors found similar results for both black and white children. "As 137 James Baldwin has written (1962, p. 65, cited in Renninger and Williams, 1970, p. 320),"Negroes . . . are taught to despise themselves from the minute they open their eyes on the world. This world is white and they are black." One task of social scientists can be the association of black with things positive; blacks have begun to do this with the "black is beautiful" movement, but whites have done little to help this cause. Another study conducted by Williams and McMurtry (1970), supported the previous work of Renninger and Williams (1966) and Williams and Roberson (1967). They found much similarity between seventh grade students' responses on what they perceived in the affective meanings of color names and what college students affectively per- ceived in the color names. They concluded that this affec- tive perception is operative as early as age thirteen and probably considerably earlier than this age. "Thus, the evaluative meanings of white and black appear to develOp quite early in life and hence are available to influence the formation of attitudes toward groups of persons desig- nated, quite inaccurately, as 'white' and 'black'" (Williams and McMurtry, 1970, p. 713). A cross-cultural study conducted by Williams, Morland, and Underwood (1970) in the United States, Europe, and Asia supported their contention that connotations of color names were not only evident in the United States, but 138 were also present in different cultures. They stressed that for American culture, the move to substitute the word 'black' for 'Negro' may not be so wise. The negative associations with the word black may then be conditioned to the group of persons referred to as black. They felt that the word Negro does not have these negative color name meanings, until it becomes associated with the term black early in a child's life. However, it would appear that just as the child learns the negative connotations associated with the word 'black,‘ he would as easily learn the negative associations of the word 'Negro' in this society. Williams, Tucker, and Dunham (1971), in a review of changes in the connotations of color names among Negroes and Caucasians, noted that most studies indicated that both Caucasians and Negro students rated the color name white as good, weak, and active, and the color name black as rela- tively bad, strong, and passive. During the mid— and late 1960's, there was a heightened acceptance of the term 'black' by black Americans; it became a rallying point of identi- fication. This was one of the reasons Williams, Tucker, and Dunham replicated the 1963 study in 1969. For black subjects, the concept 'black' became more positive (evalua- tion of good) and more active; the conception of strength remained about the same as it had been in 1963. The term 'white' was rated by black subjects as less positive and less active; the rating of weakness remained the same. The 139 authors cited the black identity movement as a major cause of this change. For white subjects, no changes occurred for either the term 'black' or the term 'white.' Three other color names were included in both studies, but no changes were evident for either black or white students. The events of the years 1963—1969, including the development of the black identity movement, appear not to have altered the general Caucasian view of black as being bad, strong, and passive, and white as being good, weak, and active . . . Thus, it would appear that as of 1969, the impact of the black identity movement had no appreciable effect upon the meanings of color names to Caucasian persons (Williams, Tucker, and Dunham, 1971, p. 228). Another study conducted by Williams, Best, Wood, and Filler (1971), tested whether the color 'black' had gone through any changes due to the black power movement, despite lack of changes in the concept, 'black person,‘ for Cauca- sians. This study found no significant changes for any of the color names or ethnic concepts for Caucasian college students during the 1963-1969 time period. There was some significant changes in the ratings of the color—person concepts-~the affective meanings of color-person concepts became more closely associated with their ethnic concept. ' was more For example, the color-concept, 'black person, nearly associated with the 'ethnic' concept, 'Negro,' in this 1970 study than it was for the 1963 study. Williams, Best, Wood, and Filler concluded that the color person meanings were coming closer to the ethnic concept meanings. Meanings attributed to the ethnic concepts themselves (i.e., Caucasian, Negro), however, had not been 140 changing. The authors' noted that the black power movement has probably resulted in an increased acceptance by whites<3f usage of the terms black for black people and white for white people. This, they pointed out, was purely a change in rhetoric, without any meaning changes in the ethnic concepts, Caucasian and Negro, during the time period from 1963 to 1970. Lessing and Zagorin (1972, p. 62) used a form of the Semantic Differential "as an exploratory investigation of the extent to which the cognitive and emotional restruc- turing advocated by black power advocates was actually being accomplished." Two hundred seventy—two white and one hundred seventy-six black college students in five separate colleges and universities were tested. Lessing and Zagorin used a measure of the degree to which students had a high or low degree of "black power orientation" and a Semantic Differential measure of attitude toward the following concepts: 'friend,"enemy,"ideal person,‘ 'colored person,‘ 'black person,‘ 'white person,’ and 'Negro person.’ Among their eleven hypotheses tested was the assertion that students high on the measure of "black power orientation" would score high on the 'evaluation' dimension for the concept 'black person' on the Semantic Differential and receive a lower score on the E of the Semantic Differential for 'black person' than for 'Negro person' or 'colored person. 141 The measure of "black power ideology" used in this study was a twenty-three item Black Power Ideology Scale, developed by Lessing. One of Osgood, Suci, and Tannenbaum's (1957) Semantic Differential techniques was used as a measure of attitude toward various racial groups. Their particular choice of concepts was based on studies of Williams (1966) and Williams and Carter (1967). The concepts rated were as follows: 'friend,‘ 'enemy,’ 'ideal person,‘ 'black person,‘ 'white person,’ 'colored person,‘ and 'Negro person.’ Each concept was rated on twenty scales, ten representing the 'evaluation' dimension, five representing 'potency,‘ and five representing 'activity' (p. 62). One major purpose of this study was to answer the following question: If one compares high and low scorers on a measure of black power ideology focussed mainly upon its political and economical aspects, is there inde- pendent evidence that the high pro—black-power scorers express less depreciation of blacks and less idealization of whites than the low black power scorers? (Lessing and Zagorin, 1972, p. 69). The results of the study confirmed that for both black and white students, those high in black power orientation gave 'white person' a lower 'evaluation' rating. Williams (1966) wrote that the connotative associa- tions with the word 'black' were negative and will probably remain so; Lessing and Zagorin (1972) felt there have been positive changes made by youthful black power advocates; their results indicated that one major effect of the black 142 power movement "was the removal of the odious connotations of black without giving it clear and unequivocal priority over other non-white ethnic designations" (p. 69). In Williams' 1966 study he found that both white and black students gave thecxxuxxnz'black person' a much lower 'evaluation' than 'Negro person.‘ In Lessing and Zagorin's (1972) study, those low in black power ideology likewise evaluated black person lower, but not significantly so, than Negro person. Those high in black power ideology did not show a significant reversal of these results. Williams, Best, Wood, and Filler (1971) found that in 1970, whites perceived the concepts 'black person' and 'Negro' as more closely associated than they had in 1963. Although there were no clear or significant results for the 'evaluation' factor, there were for the 'potency' and 'activity' factors. "Blacks were seen as the strongest, most potent, and most active. Negroes were viewedeusslightly less strong and active, whites as still less strong and active, with colored persons being viewed as the weakest and most passive" (Lessing and Zagorin, 1972, p. 70). Though the word 'Negro' was once held to have the same meaning of 'slave' by a pre-Civil War court (Isaacs, 1963, p. 65), the contention of Baird (cited in Bennett, 1967, p. 52) that 'Negro' evokes a slave image in the minds of twentieth century Americans is questionable on the basis of the present findings: Negro person was perceived as no weaker than white person. Clearly, however, the designation 'black person' was the most evocative of the powerful image which black power advocates desire for Afro-Americans (Lessing and Zagorin, 1972, p. 70). 143 Lessing and Zagorin (1972, p. 72) concluded that their "research suggests that acceptance or rejection of black power ideology has verbal attitudinal correlates." Osgood (1973) has provided an extensive evaluation of color preferences and connotations across cultural bound- aries. He had found that BLACKvwnsthe most 'disapproved' (taboo) color, being so in 33 of 57 countries evaluated; WHITEvufisthe least disapproved, disapproved in only six of 57 countries. With respect to the potency (P) factor, in an Asian community, WHITE was considered light (individual's responses of 8 out of a possible 10), while BLACK was rated heayy (1 out of a possible response of 10 on a potency scale). Another study evaluating 17 countries, found bright colors consistently selected and preferred over dark colors. In a German sample, it was found that "brightness correlated positively with a 'happiness' cluster (presumably E+), negatively with 'forcefulness' (P+) and negatively with 'calmness' (P+ and A-?)" (p. 47). Other studies reported preferences of WHITE first, BLACK second, and GREY last; studies in Western European and East Asian communities reported WHITE rated as 3992 and both GREY and BLACK rated as bad. For American English speakers, both BLACK and WHITE have uniqueness of affect attribution and we suspect that despite the parenthetical addition of (COLOR) they carried racial undertones. In the low P but high A of BLACK, the high CI (Conflict Index, a measure similar to the E, P, and A measures) of WHITE, and the fact that WHITE has less A than 144 BLACK (all in contrast to universal trends), one can perhaps see the impacts of the Civil Rights Movement, of the Black Panthers and of the rally cry of 'Black Power' upon our dominantly white Midwestern small-city teenagers; Williams et. a1. (1970) confirms the unusually high A of BLACK for their Caucasian AE White subjects (this sample was American college students), but not the low P that we find. The high P and FAM (familiarity) of COLOR seems consistent with heavy eXposure to ad- vertising in the mass media and with near—saturation of color-T.V. (Osgood, in process, p. 70). In a discussion of universal trends in color pref— erence, connotation, and association, Osgood (1973) stated that the only universal for WHITE was that it was low on the Potency dimension. BLACK and GREYumnxaboth low in Evaluation and Activity, but differed substantially on Potency. On Potency, BLACK was nearly P+ and GREY was clearly P-; BLACK was high in CI and GREY was low in Familiarity. Osgood (1973, p. 96) discussed color connotations; he defined 'connotations' as "operationally-adjectival characterizations (e.g., adventurous, solemn, cowardly) and emotion-related nominal characterizations which can be readily transformed into adjective (e.g., valor, female, passion, anxiety, disgust)." He divided color associations into four categories: (A) Concrete Identifications, (B) Concrete Associations, (C) Abstract Association, and (D) Abstract Symbolisms. The research on the four categories was done cross-culturally in 37 different regions. This recent cross-cultural study clearly illustrated that the 145 'color' white was universally associated with positive concepts and black almost always connoted the negative. Grey, which is often associated with black, also is viewed negatively. The Concrete Associations category is the most realistic of all the categories; the color is the associa- tion (i.e., white doctor's uniform). The next two cate- gories, Abstract Association and Abstract Symbolisms, are much less reality-based. It can be seen that most of the examples under Abstract Association have little to do with actual color representations (i.e., white representing eternity, virtue, innocence, life; grey and black connoting discouragement, fatigue, sin, falsehood, Satan). Some of the connotations (one-sixth of those listed by Osgood) of white do represent negative meaning (mourning, sin, and death); however, all the concepts listed under Abstract Association for the 'colors' grey and black were negative. Osgood (1973) studied 37 different cultural regions; in only three of these regions was the 'color' white given a negative 'evaluative' rating. Likewise, for grey and black, the majority of the regions studied (34 out of 37) gave grey a negative 'evaluation,‘ along with a stronger 'potency' rating (i.e., word associations such as sin, death, and murder). The following analysis of these three 'colors' for the three categories was taken from Table 6:19 (Osgood, 1973): 146 B: Concrete Associations WHITE: baby, child, daughter, doctor (uniform), flowers . . . BLACK: dirt, mud, winter . . . C: Abstract Associations WHITE: eternity, the future, virtue, innocence, holiness, chastity, modesty, virginity, purity, integrity, life, mourning, sin, death, truth, heaven, light, marriage GREY: mourning, discouragement, pessimism, negation, fatigue, boredom BLACK: sin, mourning, humility, death, murder, falsehood, negation, Satan, devils, hell D. Abstract Symbolisms WHITE: Brahman (highest) caste, flag of truce BLACK: Siva(India), Sudras (lowest) caste (India) (1) Concrete color identification--names of things naturally (or normally) having a given color (e.g., WHITE--chalk, BLACK--night) (2) Concrete color associations--names of things culturally associated with a given color (e.g., BLACK-—necktie, RED—- sacrifice) (3) Abstract color associations-—terms for non-"point-at-ables" which can only have color metaphorically (e.g.,GREY-- Monday, BLUE-—eternity, RED-~patriotism) (4) Abstract color symbolisms--culturally significant concepts which certain colors "stand for" or represent traditionally but not in any obvious way metaphorically (e.g., colors associated with castes in India, with certain deities, religions, etc.) The vast majority of associations reported in the literature were readily codable as abstract associations-~that is, concepts which have no color literally and hence whose associations with color must be based upon a metaphorical relation, e.g., virtue, innocence and chastity have no inherent color and their frequent association with WHITE suggests a common affective mediation. In this sense, we can say that such metaphorically-based associations are also non-arbitrary. 147 With three exceptions (3 cultural communities), WHITE has E+ associations--virtue, urit , truth, heaven, and the like; GREY has conSistently E- (as well as P- and A-) associations--pessimism, fatigue, boredom, for example; BLACK is equally E-, but obviously higher P--sin, death, murder, for example, to say nothing of Satan . . . Conclusion Throughout history, 'black' has been associated with negative words, while 'white' has been associated with posi- tive conceptions. Many studies (Bennett, 1967; Jenkins, Russell, and Suci, 1958; Lessing and Zagorin, 1972; Osgood, 1973; Podair, 1970; Schwartz and Disch, 1970; Williams, 1964, 1966, 1969) support this belief. The Semantic Differential technique was developed by Osgood (1957) and his associates to measure semantic meanings of words and concepts. Much of their research involves an attempt to define attitude, which they see as primarily a combination of three components, 'evaluation,' 'potency,‘ and 'activity.' Of these three, 'evaluation' is seen as representing the primary component of attitude. Osgood (1965) has found that the three concepts, 'evaluation,' 'potency,‘ and 'activity,‘ appear cross-culturally; he felt that this was evidence supporting the concept that a common meaning system exists across cultures;individuals use similar symbolic dimensions in the organization of their thoughts and their experience. Williams (1964, 1966) and his associates have applied the Semantic Differential technique to race and 148 color. Their research concluded that 'black' has been sym- bolically associated with negative concepts, and 'white' with quite the opposite. Extensive studies have been con- ducted by Williams and his associates between the years of 1964 and 1971 (Williams, 1964, 1966, 1969, 1970; Williams, Best, Wood, and Filler, 1971; Williams and Carter, 1967; Williams and Edwards, 1969; Williams, Morland, and Under— wood, 1970; Williams and McMurtry, 1970; Williams and Roberson, 1967; Williams, Tucker, and Dunham, 1971; Morland and Williams, 1969; Renninger and Williams, 1970) to support these conclusions; additional studies have been conducted using and/or citing the work of Williams (Lessing and Zagorin, 1972; Osgood, 1973; Triandis, 1972). Jenkins, Russell, and Suci (1958) found that 'white' and 'light' were given a positive rating, while 'dark' was evaluated negatively. Williams and Edwards (1969),in a laboratory experi— ment, found that the negative associations of black can be reduced, the positive associations of white can be weakened, without creating a reversal of the associations with these colors. Their subjects showed less tendency to evaluate Negro negatively and Caucasian positively. The authors found a functional link between the colors, black and white, and the racial names, Negro and Caucasian. Williams (1970) has suggested that since he found an association between color-coding and racial concepts (i.e., 149 the negative connotations of black become associated with the racial group 'black'), it would be beneficial to eliminate the reference to racial groups by color names. The present racial ABS study, however, found no differences between the words, 'black' and 'Negro', among a group of college students. This would indicate that Williams' above sugges- tion might have been premature. The results of these studies indicated that although there once was a distinction between the concepts black (black person) and Negro (Negro person), this distinction probably has begun to dissipate. Williams' earlier studies (1964, 1966) found a distinction; two of his latest published studies (Williams, Best, Wood, and Filler, 1971; Williams, Tucker and Dunham, 1971) indicate lack of a difference. Williams, Best, Wood, and Filler (1971) found that color person meanings are coming closer to ethnic concept meanings, i.e., 'black person' was more nearly associated with 'Negro' in a 1970 study than was found in 1963. They pointed out that the recent black power movement has probably resulted in increased acceptance by whites of the term 'black' for black people. This conclusion was supported by the present ABS study and also by Lessing and Zagorin's (1972) study. Although they found some slight differences, they concluded that 'Negro' no longer has the negative connotations it might have had sometime in the past. CHAPTER V METHODOLOGY To satisfy our doubts, . . . therefore, it is necessary that a method should be found by which our beliefs may be determined by nothing human, but by some external permanency-darsomething upon which our thinking has no effect . . . The method must be such that the ultimate conclusion of every man shall be the same. Such is the method of science. Its fundamental hypothesis . . . is this: There are real things, whose characters are entirely independent of our opinions about them . . . (Buchler, cited in Kerlinger, 1964, p. 7). The methodology for this thesis is based on Jordan's extensive research at Michigan State University. Jordan has expanded and refined Louis Guttman's four-Level facet theory into a six—Level design, maintaining the simplex structure. Jordan (l971b) applied his new five-facet, six-Level research design to the mentally retarded in seven nations. In reviewing the literature in the area of attitudes toward mentally retarded persons, Jordan (1970) found no studies that had employed a Guttman facet design (p. 3). Thus, attitude research in this area using a facetized design is a relatively new and recent innovation. Out of this extensive research on attitudes toward the mentally retarded, Jordan developed the Attitude Behavior 150 151 Scale toward mentally retarded persons (ABS-MR). Further research and investigation lead to modification of the scale, and also to the development of parallel scales for groups other than the retarded. The need for more concise and systematic measurement of attitudes is cited by Jordan (l971a): Extensive reviews (Bray, 1970; Campbell and Schuman, 1969; Dell Orto, 1970; Erb, 1969; Frechette, 1970; Harrelson, 1970; Morin, 1969; Poulos, 1970; Robinson and Shaver, 1969; Robinson, Rusk and Head, 1968; Vurdelja, 1970; Williams, 1970) of the studies of attitudes toward such diverse attitude objects, as mental retardation, deafness, blindness, mental illness, war, religion, nationality, perceived racial differences, indicated that none of the pre- vious studies employed an attitude scale constructed on the basis of the structural theory proposed by Guttman in 1959. It is unclear what attitudinal levels or sub-universes were being measured in most, if not all, of these studies; although a semantic analysis indicates that most of the scales fall at the stereotypic level in Guttman's paradigm. If the latter statement is correct, it may eXplain the recurring theme throughout attitude research that "attitudes do not predict behavior" (p. 8). These attitude-behavior scales have not only been applied to numerous 'minority' groups, but have been trans— lated into different languages and used cross-culturally. Prior to Jordan's research, attitude scales had not been used extensively across different cultures and none were found in disability. A review of the literature in 1965 failed to indicate even one study "which attempted to relate findings cross-culturally or cross-nationally . . . Only three studies (Laing and Chazan, 1966; Schonnell and Watts, 1956; Schonnell and Rorke, 1959) were found in the 152 American literature which were conducted in countries other than the United States" (Jordan, 1970, p. 4). For rigorous methodology to be useful, it must be based on theory that is relevant to the real world. Jordan's theoretical methodology and five-facet, six-Level attitude scale relates closely to McGuire's (1969) cognitive- affective-conative (knowing, feeling, acting) analysis of the human condition. Jordan's first two Levels (Table 17, Levels 1 and 2), specifically involve the cognitive compo- nent of behavior. This parallels McGuire's formulation of ‘the cognitive aspect of attitudes (also called by McGuire 'perceptual, informational, or stereotypic component') in which he states "how the attitude object is perceived, its conceptual connotation--it is the 'stereotype' the person has of the attitude object" (p. 155). This is the Level that Jordan feels most attitude studies have dealt with, these studies neglecting almost entirely the affective and conative areas. The third Level in Jordan's attitude 'hierarchy,‘ involves the affective component of attitudes. According to McGuire, this component of attitude (also called the 'feeling or the emotional component') deals with the person's feelings of liking or disliking about the object of the attitude (p. 155). Levels 3 and 4 on the ABS involve“ a combination of the affective and conative components, Level 5 deals with the affective component, while Level 6 is concerned strictly with measures of conative behavior. 153 McGuire states that "the conative ('action, behavioral') component of attitude refers to the person's gross behavioral tendencies regarding the object" (p. 156). In developing the Attitude Behavior Scale, Jordan has modified the structural theory of Guttman by including philosophical and theoretical eXplanations of human behavior. With these theoretical and methodological tools, Jordan has developed and expanded the range of attitudinal research. Because of the ABS instrument, it has been possible to analyze the facets of attitude and thus provide a more rigorous, methodological framework for attitude research. Review of Attitude Scales Bogardus (1925) was one of the early researchers to develop attitude scales. His 'social distance scales' attempted to measure the amounts, degree, and feelings associated with social contact that whites perceived them- selves as having with blacks. Taylor (1971) states that this type of scale is rarely used today because many researchers feel it does not give a true measure of racial attitudes. Scales of this nature have been used by Maus- tuscelli.(l950)and Proenza and Strickland (1965). Thurstone's (1931) attitude instruments used a method whereby judges evaluated the items to be selected. His racial scales contained almost exclusively stereotypic items (Frechette, 1970). This method has been criticized 154 for the process used in selecting the item continuum, the 'objectivity' of judges, and the time and effort required for constructing and scoring of the scales (Hovland and Sherif, 1952; Jahoda and Warren, 1966; Frechette, 1970). Variations of the Thurstone scale were developed by Hinckley (1932) and Rosander (1937). Other early scales designed to measure attitudes were developed by Likert and Murphy (1938). They designed three scales to measure controversial issues of that time, an 'Internationalism Scale,’ an 'Imperialism Scale,’ and a 'Negro Scale.’ These three measures of attitude were found to be highly correlated with each other and appeared to discriminate between 'racists,' 'moderates,‘ and 'liberals' on the 'race question' of that time period (Taylor, 1971). The method of intuition was used by Likert (1932) to select items for use in an instrument. An item was selected if it was judged to be 'favorable' or 'unfavorable;' items not in one of these two categories were thrown out. Likert developed a scale to assess attitudes toward blacks. Although most items were of a stereotypic nature, some items could be considered at the hypothetical action level (Frechette, 1970). Several social scientists (Steckler, 1957; Greenberg,196l; and Campbell and Schuman, 1968) used modifications of Likert's technique. "Likert's instrument has been criticized for yielding only ordinal scale data and items selected by intuition" (Taylor, 1971, p. 15). 155 Another disadvantage of this technique is that often the total score of an individual has little clear meaning, since many patterns of response to the various items may produce the same score (Warren and Jahoda, 1966). Guttman developed unidimensional scalogram analysis;h he modified his techniques of attitude measurement with his introduction of two new approaches, facet design and non— metric analysis. Guttman-type scales have been developed to study racial attitudes by Harding and Hogrefe (1952), Kogan and Downey (1956), Triandis, Levin and Loh (1966), and Campbell (1968). Johoda and Warren (1966) criticized Guttman's tech- nique as being unidimensional, and therefore not capable of measuring complex attitudes. They also feel that a scale may be unidimensional for one group of individuals, but not necessarily for another. Guttman's latest con- tributions to scale construction and attitude measurement (i.e., facet design and nonmetric analysis) avoids many of the prior criticisms since they are multidimensional in nature and also include an a priori method of item construc- tion. Taylor (1971) reviewed new develOpments and changes in racial attitude research during the 1960's. Greenberg (1961) devised a scale to measure attitudes and problems occurring during integration. In an exploration of racial attitudes, Weiss (1961) developed an instrument to reveal 156 the stereotypes whites have of blacks and an opinion ques- tionnaire to test dimensionality of racial attitudes. "Weiss concluded that the distinctions between descriptive and attitudinal traits implied dimensionality of racial attitudes" (Taylor, 1971, p. 20). Guttman's Theoretical Structure: A Four-Level Theory Guttman sees a need to build systematic theories in the social sciences to provide a basic framework for research- ers. In the area of attitude research, he has attempted to‘_ provide an abstract framework by defining a measurable set of sub-universes underlying a structural analysis of inter- group behavior. Although Guttman based his theoretical forélfl mulations on interracial behavior, he states that his system can easily be extended to other groups (Guttman, 1959, p. 319). Guttman's (1959) theory involves first a discussion of semantic structure and second, a statistical analysis of that structure. He feels that both analyses are necessary “7 to relate more abstract conceptions to actual observation and experience. From research completed by Bastide and van den Berghe (1957), Guttman abstracted definitions for the four sub-universes of attitudes. Because Bastide and van den Berghe's work dealt with interracial attitudes, the defini— tions involve whites and Negroes. The definitions were reordered by Guttman, and read as follows: 157 l. Stereotype: Belief of (a white subject) that his own group (excels- does not excel) in compari- son with Negroes on (desir- able traits). 2. Norm: Belief of (a white subject) that his own group (ought— ought not) interact with Negroes in (social ways). 3. Hypothetical Interaction: Belief of (a white subject) that he himself (will-will not) interact with Negroes in (social ways). 4. Personal Interaction: Overt action of (a white subject) himself (to-not to) interact with Negroes in (social ways) (Guttman, 1959, p. 32). In delimiting the differences in each of the defini- tions, Guttman notes differences in three facets. "Each definition concerns a type of behavior of a subject vis—a-vis a type of intergroup behavior of a type of referent" (Gutt- man, 1959, p. 320). Each of these three facets in turn has two elements and, therefore, each is dichotomous as depicted in Table 12. TABLE 12.--Facets on which Subuniverses Differ (A) (B) (C) Subject's Referent Referent's Inter- Behavior group Behavior al belief bl subject's cl comparative group a2 overt action b2 subject c2 interactive himself 158 One element from each and every facet must be rep- resented in any given statement, and these statements can be grouped into profiles of the attitude universe by multi— plication of the facets AxBxC, yielding a 2x2x2 combination of elements or eight semantic profiles in all, i.e., (1) alblcl' (2) alblc2 . . . (8) a2b2c2. It can be seen that profiles 1 and 2 have 2 elements in common (albl) and one different (cl and CZ), whereas, profiles 1 and 8 have no elements in common. The capital letters A, B, and C depict the three facets, while the subscripts denote the respective elements. Thus alblc2 reads: Belief (al) of a subject that his own group (bl) interacts (c2) with a Specified attitude object. Similarly, a2b2c2reads: Self or observed reports of a sub- ject's overt action (a2) of himself (b2) interacting (c 2) with a specified attitude object. The four subuniverses (Levels) that Guttman derived from Bastide and van den Berghe (1957) have been facetized as shown in Table 13. TABLE l3.--Guttman Facet Profiles of Attitude Subuniverse Subuniverse Profile 1 Stereotype alblcl 2 Norm alblCZ 3 Hypothetical Interaction aleCZ 4 Personal Interaction a b c 2 2 2 159 There is a rank ordering of facets present in the design; Guttman refers to it as a progression from a weak to a strong form of the subject's behavior vis-a-vis the attitude object. The more subscript '2' elements a profile contains the greater the strength of the attitude. Also, there is a progression down the subscale Levels, "stereotype" (Level 1), being the weakest, proceeding through to "personal interaction" (Level 4), the strongest i.e., l<2<3<4 moving down the Levels from weakest to strongest. Facet analysis of the semantic structure provides a social psychological basis for predicting the structure of the empirical intercorrelation matrix of the above four Levels. One cannot presume to predict the exact size of each correlation coefficient from knowledge only of the semantics of universe ABC, but we do propose to pre- dict a pattern or structure for the relative sizes of the statistical coefficients from purely semantic considerations (Guttman, 1959, p. 324). This prediction was stated by Guttman (1959) as the Contiguity Hypothesis: "Subuniverses closer to each other in the semantic scale of their definitions will also be closer statistically" (p. 324). Thus, the Contiguity Hypothesis predicts that the Levels that are adjacent to one another will correlate to a stronger degree than will Levels that are more distant from each other. In other words, "Normative Behavior" (Level 2) will correlate more highly with an adjacent Level, "Hypothetical Interaction" 160 (Level 3) than it will with "Personal Interaction" (Level 4), a more distant Level. Table 14 illustrates the data obtained in Bastide and van den Berghe's (1957) study. The data have been rearranged by Guttman to correspond to his four-Level ordering, (Stereotype, Norm, Hypothetical Interaction, Personal Interaction). The structure of the table follows the simplex pattern, except for one reversal (r .49 does 4.3: not exceed r .51). This slight error, Guttman states, 4,2: could simply be due to sampling error and/or sampling bias; he does not see this error as contradicting the Contiguity Hypothesis. Further research validates this conclusion by Guttman ". . . research by Hamersma (1969) and Harrelson (1970) established a criterion of six reversals as being the maximum that could exist in a six by six matrix and still permit the simplex to be regarded as 'approximated'" (Dell Orto, 1970, p. 56). Guttman (1954b) also states that in actual practice, a perfect simplex is not to be expected. TABLE l4.--Empirical Intercorrelation of Scores on the Four Subuniverses l 2 3 4 Hypothetical Personal Subuniverse Stereotype Norm Interaction Interaction 1 Stereotype -- .60 .37 .25 2 Norm .60 -- .68 .51' 3 Hypothetical .37 .68 -- .49 Interaction 4 Personal .25 .41 .49 -- Interaction 161 Hamersma (1969) explains that the 'simplex' is analyzed to ascertain the relationship among the Levels.' As one proceeds down the Levels, the facets change; however, to enable the simplex ordering to be possible only one facet is changed for each successive Level change. A simplex is defined by Guttman (1954-55) as "sets of scores that have an implicit order from 'least complex' to 'most complex (p. 400). In a simplex matrix the ordering of the Levels (correlations, etc.) is predicted, but the intensity or magnitude of the correlation is not. Table 15 presents an example of a hypothetical correlation matrix with a simplex structure, designed by Hamersma. TABLE 15.--Hypothetical Matrix of Level-By—Level Correlations Illustrating the Simplex Structure Level 1 2 3 4 l _.. 2 .60 -- 3 .50 .60 -- 4 040 .50 050 -- Note: One does not attempt to predict the magnitudes of each correlation coefficient. The simplex requirements do not necessitate either identical mathematical differences among various correlations or identical correlations between adjacent levels, so that the bottom row of the matrix reading from left to right could contain such figures as .10, .32, and .49. Guttman (1959) suggested that to increase the pre- dictability of his theoretical model, it would be beneficial to (a) enrich the facet design and (b) place these behaviors (Levels) in a broader context. Jordan's five-facet, six-Level 162 design encompasses the merits of both these suggestions. He enriched the facet design by adding two additional facets and, hence, two additional Levels of behavior. By including facets that demonstrated more of the affective and conative dimensions of behavior, he placed the theory in a broader, feeling-action oriented context, encompassing Guttman's second suggestion. Jordan's Six-Level Adaptation Jordan's five-facet, six-Level theory encompasses Guttman's three-facet, four-Level design, expanding the theory in the affective and conative domain. Specifically, Jordan maintains Guttman's four original Levels, but adds two new Levels toward the lower end of Guttman's scale. For a visual explanation of Jordan's six-Level theory see Tables 16 and 17. To compare Jordan's facet system with that of Guttman's, compare Tables 16 and 17 with Tables 12 and 13. Guttman included four attitude dimension categories: Stereotype, Norm, Hypothetical Interaction, and Personal Interaction (Table 13). According to McGuire (1969), these facets are primarily concerned with cognitive and affective behavior. Only the last Level, Hypothetical Interaction, includes any conative material. It is at this point that Jordan visualized the need to expand Guttman facet theory. Jordan places more emphasis on the affective and conative elements of attitude-behavior. His 163 theory, while including Guttman's four Levels (cognitive and affective elements), extends Guttman into the realm of conative behavior. His two additional Levels, Personal Feeling (Level 5) and Actual Personal Action (Level 6) extend the theory to 'real,‘ observable overt behavior. These Levels are evaluating the subject's actual feelings and actions, instead of his perceived thoughts, beliefs, and opinions (as measured in the first four Levels). They appear to be the crucial Levels at which attitudinal change occurs. Tables 17 and 18 contain a more explicit presen- tation of Jordan's six Levels and a comparison of Guttman and Jordan facet designations. TABLE l6.--Jordan Facets Used to Determine Jointa Struction of an Attitude Universe (A) (B) (C) (D) (E) Referent Referent Actor Actor's Domain of Behavior Intergroup Actor's Behavior Behavior a others b belief c others d comparison e hypo- l l l . thetical a2 self b experience c self d interaction e Opera— (I) (overt behavior) (mine/my) tional aJoint struction is operationally defined as the ordered sets of the five facets from low to high (subscript 1's are low) across all five facets simultaneously. 164 TABLE l7.--Joint Level, Profile Composition, and Labels for Six Types of Attitute Struction Subscale . _ a Type-Level Struction Profile Descriptive Joint Term 1 al bl cl dl el Societal Stereotype 2 al b1 01 d2 el Societal Norm 3 a2 bl C1 C12 el Personal Moral Evaluation 4 a2 bl c2 d2 el Personal Hypothetical Action 5 a2 b2 c2 d2 el Personal Feeling 6 a2 b2 c2 d2 e2 Personal Action aBased on facets of Table 16. Tables 18 and 19 propose a structioned definitional or semantic system for the relationships between the six scale Levels. According to Jordan (l971a), the Cartesian product of the five two-element/facets of TableiHSyields 32 possible profiles (Table 21). As shown in Table 19, six of these profiles were chosen as psychologically relevant, potentially capable of instrumentation, and possessing a specific relationship among themselves--a simplex relation- ship. Maierle (1969) presents an extensive discussion of the 32 profiles, the specific rules by which the 12 profiles in Figure 1 are retained, the rationale for choosing six of these 12 profiles for the six Levels, and the seven "semantic paths" possible between these 12 profiles; i.e., the six Levels presented in Table 19, agree with Maierle's semantic path C although they were extant prior to that. 165 am no N "m umomm “M_uo M. "Q umomm “m Ho m "U uwomm mum NH mHQme mo mcoHumcHnfioo «M.Ho m "m uwomm um.uo m "a uwomm "mm mHQMB mo mpcwEmumum HmHusmumMMHp on» cH pmmmmumxm >HHmoHucmew may msoHHOM mm pwmmmumxm mum 0H oHnme mo mumomm on» me MHmmEH: m In o>HuomumucH mp pomhndm o coHuom pum>o ma nu msoum II m>HumummEoo Hp m.uomflndm Ho mmHHmn HQ 1: H0H>mcmm u0a>m mm In QsoumuwucH ucwummmm . n In m.uomm35m Illllll m.ucmummmm ”cmfiuusu AHOH>man A>E\mcHEV unm>ov HHV HmcoHpmummo mm coHuomumucH Np wme No wocmHummxm Nb MHmm mm H H H H H HMUHumnuom>£ w somHHmmEoo p muwnuo o mmHHmn n mumzuo m u0a>m w m no 0 uoH>mgmm u0a>m m . n m . u < maoumumucH Moved . n m ucmummwm mo :HmEoo ucmummmm . m.uouo< ”cannon m D U m d coHumcmHmmo coHumummpa canyon CH mmumomm .mcoHumcmHmmo uwomm canyon paw cmauuso mo COmHummEouul.mH mqmde 166 .mmHHmonm umHHomQSm ppm mumomm Mom hH mHQma mmmo .mucoEmumum HmcoHQHchmp mom mm mHQdB mwmQ .oH mHQMB mo mumomm so pmmmmm coHuom HMGOmHmm mm mp mo NQ mm m a E m a w mcHHmmm HMGOmumm Hm mp No NQ mm Q H E m H m soHuom HMUHquuom>Q HMCOmHmm Hm mp mo HQ mm Q H E Q H v COHumsHm>m Hmuos HMQOmuom Hm mp Ho HQ mm Q H 0 Q H m Enos HmuwHoom Hm mp Ho HQ Hm Q H 0 Q o m mmmuomumum HmumHoom Hm H0 H0 HQ Hm Q o 0 Q o H Emma mm wHQme :H Emum>m pH mHQme CH Emuwwm mwmmw m>HumHuome Hm>mQ mpsuHuud QHmcoHpHchwo >Q mHHmoum UHMGOHQmpoz >Q mHHwoum mHmoszm m .coHuosuum mpsuHuum mo mmmwa me new mHQOq cam .coHpHmomEoo mHHmoum .Hm>wH ucH0hll.mH mqmde 167 Maierle (1969) states that only 12 of the 32 possible combinations appear to be semantically and logically consistent. Construction of the six level Attitude-Behavior Scale: Mental Retardation (ABS-MR) used in Jordan's research was guided by the six combinations of facet elements shown in Table 17. The six profiles were chosen from the twelve potential combinations because they appeared potentially capable of instrumentation, the relevance implied in the six Levels or 'types,‘ and because they form a simplex order. The six ABS-MR sub—scales range on an abstract- impersonal to concrete-behavioral continuum-~from a stereo- typic Level to reports of actual behavioral interaction with the retarded; correspondingly, each profile moving from Level 1 to Level 6 is characterized by one additional strong facet element in a range from no strong elements to all strong elements, as is illustrated in the definitions and examples in Table 17. It is the intention of the following definitions and examples to make clear Jordan's six-Level progression from the cognitive through the affective domain, and finally arriving at the conative-action Level of attitude-behaviors. For a graphic representation, including profiles, see Table 22. 168 TABLE 20.--Permutations of Five Two-element Facetsa of Table 16. Facetsb Permutations A B C D E 1 1 1 l 1 l 2 l l l 2 1 3 2 l 1 1 1 4 2 l l 2 l 5 1 l 2 l l 6 1 1 2 2 1 7 2 1 2 l l 8 2 1 2 2 1 9 1 2 l 1 l 10 l 2 1 2 1 11 2 2 l l 1 12 2 2 l 2 1 l3 1 2 2 1 1 14 l 2 2 2 1 15 2 2 2 l 1 l6 2 2 2 2 1 l7 1 l 1 1 2 18 l l 1 2 2 19 2 l l l 2 20 2 1 1 2 2 21 l l 2 l 2 22 l l 2 2 2 23 2 l 2 l 2 24 2 l 2 2 2 25 1 2 1 1 2 26 1 2 l 2 2 27 2 2 l 1 2 28 2 2 1 2 2 29 1 2 2 1 2 30 1 2 2 2 2 31 2 2 2 l 2 32 2 2 2 2 2 aSubscript "1" indicates weak element; "2" indicates strong element. bSee Table 16 for facets. 169 TABLE 21.-—Combinations of Five Two-element Facetsa and Basis of Elimination. Combinations Facets and Subscripts . c Ba51s of b In In Elimination NO' Table 16 Table 17 A B C D E l 1 Level 1 o b o c h 2 2 Level 2 o b o i h 3 3 -- i b o c h 4 4 Level 3 i b o i h 5 5 -- a b m c h 6 6 -- o b m i h 7 7 -- i b m c h 8 8 Level 4 i b m i h 9 - -- o e o c h 2 10 9 -— o e o i h 11 - -- i e o c h 1 2 12 - -- i e o i h 1 l3 - -- o e m c h l 2 14 - -- o e m i h l 15 - -- i e m c h 2 16 10 Level 5 i e m i h 17 - -- o b o c p 3 4 18 - -- o b o i p 4 l9 - -- i b o c p 3 4 20 - -- i b o i p 4 21 - -- o b m c p 3 4 22 - —- o b m i p 4 23 - -- i b m c p 3 4 24 - -- i b m i p 4 25 - -- o e o c p 2 3 26 ll -- o e o i p 27 - -- i e o c p 1 2 3 28 - -- i e o i p l 29 - -- o e m c p l 2 3 3O - -- o e m i p 1 31 - -- i e m c p 2 3 32 12 Level 6 i e m i p aSee Table 16 for facets. bNumbering arbitrary, for identification only cLogical semantic analysis as follows: Basis 1: an "e" in facet B must be preceded and followed by equivalent elements, both "0"; or "i" in facet A or "m" in facet C. Basis 2: a "c" in facet D cannot be preceded by an "e" in facet B. Basis 3: a "c" in facet D cannot be followed by a "p" in facet E. Basis 4: a "p" in facet E cannot be preceded by a "b" in facet B. d . See text for rationale. .mqusos Hm>mH muoHum> . mo mmHchoHuMHmu wumoHan mmmwQucmumm :H moan: mumcumuHad Ho>mq cH mucwEon mcouum mo quaac u .OZQ .hH and 9H meQMB .mpo .wmc oQu :H pom: mGOHuncHano«¢ .mucmamumum ucmumHmcou unQ uamvznvou mo uumm mum mmmwQucmHmm 3H mpuosu 1770 1‘ Q mHHmcoHumummo AuoH>waQ m ~w~v~o~QNw w o coHuum Hmcofimm . .3. uum>ov mcoHuumumucM a mocmHummxw .Hu NH ImJHIHeIwIH.) 1 Ill- 1 (11!- . I AHHmuHquuomzm e HmmpwomQNm m wcHHmmw HmCOmHmm «s AmwcHHomwv mcoHuumumucH hm mucwHmexo H oH Q H E m H I- $333533- coHuum msouw Hmsuo< wcomHHmaeom mHmQum oucmHuuaxM mHmQum HH a H o m o :oHuum | i l I m mepmoHQNm ¢ ..nl.wmoHquuoa>Q Hmsomumm *JI:;WWWWWWWWMWQmmm.mmmwmums mcH HE m>mHHmQ H w IHflwfldflMflJW. 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N Heuom'bg N uuw>o N A V N IMHHmcoHumpumd Ho Hmv pomtm c He as» t m 0.:50mmzu mocmHQm xv Ho mzrons HHom a How nouanuuum ameOHquuoaNQ a any mam 506 c uaeuflmtmcpo Ho m:>-?aH> cmHHmQ Q so no Ha uoonnamv QoH>onm n_u0uo< QoH>onm co cHano msouwnmucH m.p0po< Houo< poH>mcmm acupuuom acopouom Ame Hes Hoe Ame HMQmm munuHuud 0Q» unauuauum on com: mumomm coHuosuum woos wmcommmu cam .ucHOHme .ucHomcou mQu mo wocwucmm mchmmE Q .n .mHm 180 :.x= Qo30uQu =m: mquMH mm>Ho>cH coHuosuQm Hmumumqo =.m: QmsouQu :<: muoomH mo>Ho>cH coHuosuum ucHonQ .cmpu0h paw mEmumEmm >Q pm>Ho>mm I m>Hunom Nx \ mc0muod muHQz so QomHm pumzou mocmHm> w>Hummmc HQ ’ .fliQuHB \ mocme> va mcHdoo HonH>MQmQ m HmucoesuumcH mH I ouHmmwp mQ QmHQ m I uHmuu Hanuum NH ‘ w>HQooHHm NH QHmQu Ho omsmooQ NQ \ coHumsHm>o ’ tszwE No ‘ v uHmQu pmusQHHuum Hfl o>HuHcoou HH \ o» Hoodmmu QuHB HQ ’. 30H Hm Hm>oQ uHer v wowe uHmHB mmwoon coHumsHm>m \ wocmuuomEH ’ Hhv AH. Amy HOV NHMQHHHE pcm ups NH EmH>HQomnHmoHQHH0d wm popuo pcm BmH mu . maoH 4H mchSOQ mu N) NmecoHumuomo Nm N m . coHumospm u 1- . . . Qqu muumumucH p cH>Ho>cH . c. mtOmeu . moHumHquomquo Hm muHcQ Ho zomHm (‘quSO\UH:m3 H H . . ,.. _ >HHmuHu0QuooHQ m mmummEoo U mcoHumsuHm QHHQ HoH>onm m_uobom uoH>onm in Ho chEoo msowmwmucH m.u0uu« Hmv Hay kWV. m chum Amt wcHeV N no on w QHoH>onQ upmyov mMQ «How m mQu HHom o \ me m mmw ’ mocuHQonxo NQ ‘ OQB .uuo .poocmHHomxo ucmummmu Cu QMQu H . . . .Auucsoo .HE CH 4 mwuanHuum CS womhnflm \ muwQuo o ’ \ moHHoQ HQ mHoQuo Hm HOuOd uoH>onm ucoummmm QQQHOHmm HOV Ame Adv .HmQuo Qomm pumsoa mmpzuHuu4 .mmuHQ3 cam .mHUMHm ucHon Ho mHthmsd uwomm mQu How moqmucmm mchmmz|u.q mHSmHm 0 end can mum m cm H u um OH H H p Q m 181 Jordan's research on attitude-behaviors toward the mentally retarded has implications in three areas of concern: (a) methodology, (b) determinants, origins or predictors of attitude-behaviors, and (c) implications for attitude- behavior change research. Jordan (1972) believes that facet theory can be used in defining a problem; structuring rela- tionships within and between variables; dealing with the problems of relevancy, equivalency, and comparability; and assisting in the analysis and interpretation of empirical data. Other attributes and findings of Jordan's research are that certain aspects of attitude-behavior are cross- culturally invariate, i.e., the simplex is determined largely by the structure of the object-subject relationship, 'certain' aspects of attitude-behavior are object specific, situation specific, and/or culture specific, and that atti- tude change must be approached multidimensionally: knowledge being more related to Stereotypic and Normative Levels and contact, values, and enjoyment factors more related to Actual Feeling and Action (Behavior) Levels. The ABS-MR is the first of a family of scales being develOped by Jordan (1968) using the model presented in Table 17. Scales have already been developed toward such diverse attitude objects as the blind, deaf, war disabled in Vietnam, drug users, and racial-ethnic groups (Erb, 1969; Frechette, 1970; Hamersma, 1969; Harrelson, 1970; Harrelson, Jordan & Horn, 1972; Jordan, 1970, 1971a, 1971b; 182 Jordan and Maierle, 1969; Kaple, 1971; Maierle, 1969; Poulos, 1970; Vurdelja, 1970; Williams, 1970). The com- pleted mapping sentence for the family of scales constructed, or to be constructed, on this a priori facet theory basis is given in Figure 1. The attitude object of interest (i.e., the mentally retarded in Figure 3, and racial groups in Figure 4) is simply substituted for "specified" persons in Figure 2. Other Attitude Behavior Scales (Jordan, 1970, pp. 47-48) currently available are as follows: 1. ABS-BW/WN......Blacks toward whites and whites toward Negroes in seven areas (C) Characteristics (Personal) (E) Education (H) Housing (J) Jobs (L) Law and Order (P) Political Activism (Racial) (W) War and Military (G) General (two items from each of the above seven) 2. ABS-SAF......"Africans"/Whites (in South Africa) (G) General, minus L, P, and W items of the ABS-VW/WN 3. ABS-MP/PM......Moari/Pakeha (New Zealand) (E) Education (G) General 4. ABS-MI or EDP......Mentally Ill or Emotionally Disturbed Persons 5. ABS-DR......Deaf 6. ABS-ABE.....Undereducated Adults (Adult Basic Education) 7. ABS-CES.....Black vs. White Cooperative Extension Service farm agents 183 8. ABS-BL......Blind 9. ABS-WD......War Disabled (in Viet Nam) 10. ABS-DU......Drug Users 11. ABS-ENV.....Environment 12. ABS-WOM.....Role of Womena 13. ABS-TEC.....Technica1 Educationa l4. ABS-EDC.....Educationa1 Changea An ideal, complete research project, as Guttman has elsewhere suggested, would consist of observing a value for each subject on each variant of facets F through K for each of the six Levels A through E (see Figures 1-4). Guttman has further suggested that any coherent theory referring to empirical research can be expressed in a similar mapping sentence (Figure 5). He further states. Lack of theoretical clarity as to the specifications of the facets of the mapping may be the situation that often impedes the connection between abstract theory and empirical work (Guttman, 1959, p. 323). Clearly the ABS-MR scale falls short of the ideal, complete research project suggested by Guttman. Nevertheless, it represents one of the few such attitude scales constructed on an a priori basis according to Guttman's facet theory. The ABS used in the present research, measuring attitudes of blacks toward whites and whites toward blacks was constructed by Hamersma and Jordan (1969) and revised aScales 12-14 were developed with support by the Organization of American States at the First Interamerican Seminar on Educational Research, San Jose, Costa Rica, March 6-24, 1972. 184 . a . ‘ Figure 5.--A Mapping Sentence for Strategies of Theory Development. a receiving 1 Investigator (x) uses a strategy for a2 implementing ideas for his a3 evaluating b1 definition cl definition b2 specification 02 specification construction of a . for a construct . b3 rationale c3 rationale b4 hypothesis c4 hypothesis dl assertion d2 deletion of his theory (y) through treatment (33 substitution of aspect (z) of by . . d4 intenSion d5 extension tu 1’ ‘el concep a ( constructs that were constructed by ‘fl others 1 )e2 empirical ( ‘lfz himself( 5 gl high :» 92 medium level of strategic formalism. 93 low A Condensation of the Sentence INVESTIGATOR (x) / uses IDEA STRATEGY (a) / for his CONSTRUCTION OF (b) / for CONSTRUCT (c) / of his THEORY (y) / through TREATMENT (d) / of ASPECT (z) / of CONSTRUCTS (e) / of CONSTRUCTER (f) / ..__._._.. LEVEL (9) of strategic FORMALISM. vv An Abstraction of the Sentence XABCYDZEF IE: aoG aFrom Guttman (1971). 185 by Dell Orto (1970). Attitudes were measured in seven separate attitude content areas. An eighth scale (G-General) contained two items from each of the above seven content areas. The areas were chosen on the basis of a number of sources. The Report of the National Advisory Commission on Civil Disorders (1968), a survey of twenty major cities, lists the most frequently and consistently cited grievances of residents of ghetto communities. AS stated by the Commission's report, these grievances remained consistent throughout every major city that was surveyed. "As the Commission stated, these grievances were linked in a major way to the attitudes that blacks and whites hold in relation to each other. They ranked the deepest grievances into three levels of relative intensity and presented them as follows" (Hamersma, 1969, p. 84): First Level of Intensity 1. Police Practices 2. Unemployment and underemployment 3. Inadequate housing Second Level of Intensity 4. Inadequate education 5. Poor recreation facilities and programs 6. Ineffectiveness of the political structure and grievance mechanisms Third Level of Intensity 7. Disrespectful white attitudes 8. Discriminatory administration of justice 9. Inadequacy of federal programs 10. Inadequacy of municipal services 11. Discriminatory consumer and credit practices 12. Inadequate welfare programs 186 To comprehend more fully what the Commission meant by these categories, two of them ("police practices" and "inadequate education") are described here as they were explained in the Report (1968): Police practices were, in some form, a significant grievance in virtually all cities and were often one of the most serious complaints. Included in this category were complaints about physical or verbal abuse of Negro citizens by police officers, the lack of adequate channels for complaints against the police, discriminatory police employment and promotion practices, a general lack of respect for Negroes by police officers, and the failure of police departments to provide adequate protection for Negroes. The educational system was a source of grievance in almost all the 20 cities and appeared to be one of the most serious complaints in half of them. These grievances centered on the prevalence of de facto segregation, the poor quality of instruction and facilities, deficiencies in the curriculum in the public schools (particularly because no Negro history was taught), inadequate representation of Negroes on school boards, and the absence or inadequacy of vocational training (p. 144). In addition to these grievances cited by the Report, Hamersma reviewed additional research (Brink and Harris, 1964; Brink and Harris, 1967; Shaw and Wright, 1967; CBS News, 1968; and Maccoby and Funkhouser, 1968) in the area of racial attitudes and racial discontent. These reviews cited similar areas such as housing, personal characteris- tics, law enforcement, and unemployment as crucial. Hamersma used these sources, the Report's grievance levels, and suggestions from personnel of the Urban Adult Education Institute and the Foundation for Racial Equality: In 187 Memory of Martin Luther King, Jr. in Detroit,1 to construct the scales dealing with seven attitude content areas: (a) Characteristics-Personal, (b) Education, (c) Housing, (d) Jobs, (e) Law and Order, (f) Political Activism-Racial, (g) War and Military. For each of the seven separate attitude content areas, a six-Level scale was constructed in accordance with Jordan's Six-Level adaptation (Table 6) of Guttman's original four-Level paradigm for attitude item construction. Each attitude content area scale contained the Six Levels of: (a) Societal Stereotype,(b) Societal Norm, (c) Personal Moral Evaluation, (d) Personal Hypothetical Action, (e) Personal Feelings, and (f) Actual Personal Action, as Shown in Table 6. The difficulties in constructing items and building an item pool from which to select items for an attitude scale or survey has been succinctly put by Ostrom (1971-1972, pp. 593-594). Problems of item construction were recognized by the earliest workers in attitude measurement. At least five papers on this subject had appeared prior to 1940. Unfortunately, the guidance offered by these investigators did not extend beyond listing grammatical and stylistic considerations; classifying items into such categories as belief, judgment, atti- tude, and fact; and recommending that all possible 1The Urban Adult Education Institute and the Foundation are concerned with providing adult education to people, mostly black, who have not completed school. They provided assistance in several phases of Hamersma's study. 188 attitude stands be represented in the pool. Tech- niques suggested for item collection by these sources are limited to such informal suggestions as inter- viewing respondents who are known to have differing attitudes, reading relevant published sources, and relying on one's own command of the issues involved. Guidelines provided by more recent treatments of attitude measurement do not provide any more advanced instructions for item construction. Ostrom (1971-1972, p. 594) states that "the central problems in assemblying an item pool lie in defining a universe of content and in insuring an adequate sampling of that universe," The Simplex Approximation and the ABS As previously stated in discussion of the Contiguity Hypothesis, subuniverses Closer to each other in the semantic scales of their definitions will be closer statistically. Kaiser (1962) suggests a procedure for testing a simplex approximation: "for scaling the variables of a Guttman simplex . . . the procedure . . . orders the vari- ables. A measure of goodness of fit of the scale to the data is suggested" (p. 155). Kaiser's (1962) approach may be seen as performing two functions: (a) a "sorting" of virtually all possible adjacent pairs of matrix entrees so as to generate the "best" empirically possible simplex approximation; and (b) an assessment of a descriptive statistic, with a range of 0.00 to 1.00. A computer program was developed which (a) re-ordered the adjacent pairs of level members of each matrix, by 189 Kaiser's (1962) procedure, so as to generate the best empiri- cally possible simplex approximation; and (b) calculated Q2 for the hypothesized orderingmmm O m v m N H w m v m N H O m v m N H mHm>mH II 00 Om OV mm ON O II om Om Oh om Om 0 II mm Nb hm MH NO 0 II 00 Om 0v mm. m II OO om on 00 m II mm mm ON no m II 00 Om Om v II om cm on v II om bv mN v :pmuwpuo: I: oo Om m I: Om om m :1 mm mm m mum I: nu 1: mm H» m e.mH mm m e.mH mm M m.~H mm m o. u z xHHumS xHHumE xHHumE H mom. u maummm Ham. n ma ummm wow. u maummm :HMMBBH :ERRHEH :EEHBEH --ONBHR w --EHRE a --smmz H II OH» Om 00 ...I oo om om m. II no mo hm m. .II.II .II.II II.|I. m muo ll. 0m 0? a. II om ON; MW. .ll mm ON T. :mu HQE m: -- H. p -- am p .. mm m 93 m.NH In m.NH II H.NH mOOHHumz xHHumE xHHumE xHHme I: owe. n ma HmchHuo Hem. n ma HmeHmHuo 04. n ma HmeHmHuo EHOB mmosmnmmmHo Hmswm mwosmHOHMHo Hmsqm mmOQOHOHHHO Hmawmsa m>HumHHommO .mcoHumeuuou smmsumm moosmummmHo Hmsqmcp tam Hmsqm Qqu mmOHuumz :pmnwpuo NHHOOHHOH: HO MchHHMHmHHOO HMOHUOHOOQB mo mHmNHmc¢nl.mN mqmde 191 Early results using the ABS-MR are illustrated in Table 24. The ABS-MR was administered to three groups in the test develOpment study: (a) 88 Michigan State University (MSU) graduate students (46 female, 42 male) in a course on medical information for special education or rehabilitation counselors-SER: students who were studying to be profession- als in the area of disabling or handicapping conditions, (b) ED 200—633 regular education students during the 1968 winter term, and (c) 523 elementary school teachers (381 female, 142 male) in Belize. All three groups yield the simplex approximation pattern. The Q2 values for the SER sample were the same (.97) for the hypothesized order and the best order. For the ED 200 sample, the Q2 values were also the same (.94) for the hypothesized order and the best order. The 92 values for the Belize sample were (a) hypothesized order (.858) and (b) best order (.859) Table 24). All these values exceed Hamersma's minimal criteria g2 of .70 for a 6x6 matrix to be acceptable as a simplex. The simplex relationship has also been obtained for other, more recent studies, using the ABS-MR (Gottlieb, 1973; Harrelson, 1970; Harrelson, Jordan, & Horn, 1972; Jordan, & Horn, 1972; Jordan, 1970, 1971b; Morin, 1969; and Vurdelja, 1970). Studies using modifications of the ABS-MR have resulted in simplex approximation. Poulos (1970) develOped an Attitude Behavior Scale measuring attitudes toward the 192 .Hom .m .onHV amouoe soup .coHumHuommp mHmEmm now uxwu mom Q .pmcHHHmpss mum mHmmHm>mmm II Hm MH Ho mo Ho o II.mH Hm mH oo HH o II mm mH mo Ho Ho o II em mm MH «o H II mm NH NH NH m II mm mH.NH HH m II we NH oH a II mm mm Hm a II mm Hm NH H II em HH m II mm HH m II Hm mm m mHo>mH Ho =umeuo: moo o.mH II om m e.mH II mm m m.mH II sq m xHuume some ocHemxm xHHumE II H xHHumE II H xHHumE II H no. u mNumom om. n mNumom mm. n ma umom II Hm mH Hm mo Ho o II oH mm mH oH HH o II mm aH mo Ho Ho o coHuoH Hmcomuoa II em mm HH «o m II Hm mH mm HH m II om aH NH HH m ocHHmmm Hmcomuoa II we NH oH a II mm mm Hm H II mm Hm mH e coHuoH .uonuoasm Hmcomuma II em HH H II mm HH m II Hm mm m coHpmsHm>m Hmuoz Hmcomuma m.MH II mm m m.MH II mm m H.MH II we m euoz HmuoHoom xHHumE II H xHHumE II H xHHumE II H mmwuomumum HmumHOOm Hm. I maHmchHuo om. I ma HmchHuo mm. u mNHmchHmm o m e m m H o m e m m H o m H m m H oHoemm we I mum oHoemm mmm I oNHHom mHEEHm mmo I oom om ehoa o>HuoHuomoo .oom om oQu mow mumo Q.mmHmEmm mmm can .mNHme ucmEmoHo>mo umwe szme mQu mo mmcoHHMHOHHOO memEHm mo mHmHHMQQII.VN mqmde 193 deaf. His data yielded a simplex for all best order 92 groups (.83-.93) and four out of five hypothesized (original) order g2 groups (.58-.90) (Table 25). Frechette's (1970) study of attitudes of French and English speaking Canadians toward West Indian Immigrants also yielded a simplex approxi- mation pattern (Table 26); his hypothesized g2 scores ranged from .54-.91, while the best order g2 matrix values ranged from .76-.93. Williams (1970), using the ABS:BW/WN scale, found hypothesized g2 scores (.73-.90) and best g2 scores (.85-.95) (Table 27). As the ABS is revised, closer approximations to the 'perfect' approximation simplex should result. A most recent develOpment in the family of Attitude Behavior Scales has been the "drug scale" developed by Jordan, Kaple, and Nicholson (Kaple, 1971). Their simplex results have been the most successful thus far. Kaple's (1971) study used further refinements in the ABS scale. As seen in Table 28, his g2 not only exceeded all other ABS results thus far, but approached 1.00, a theoretically perfect simplex. Guttman (1954a) defines a perfect scale (or simplex) as the following: ". . . by a perfect scale we mean a set of items such that each item separately can have its categories put into a one-to-one correspondence with intervals of the same continuum" (p. 223). For the case of a perfect scale of qualitative data, there is but one elementary component-the underlying rank order. From a person's scale rank, one can 194 .AHHHIHHH .ma .oanc moHamm scum ”muoz II mH. «H. AH. om. oH. II mm. 9H. cm. II mm. mm. HH. II mm. mo. HH. 50. II we. om. HH. Hm. Ho. coHuuc .0 II vH. HH. Hm. om. II mm. mm. 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H moo II wa>u0muwum .H o m H H m H o H v H o m v H o H v H H o m e H m H Ehwe w>HumHnommo .UCOUII242 .uCOUIIoz: .uCOUIImQZ .ucouIIBmm .ucOUIIhOP Inn! 0 .mclmmd wcu mo ch>wH me co Manchu coucowom new wustmm waQEHMII.mN mqm<9 1595 .HmH.o .oooHo muumnumum scum .mm. H Hm>mH mo. um M mo 05Hm> HmoHuHuUw mH. u Hw>wH mo. um M.uo 09Hm> HMUHuHHUU mm. u Hw>mH mo. an M mo msHm> HmoHuHuUm .COHuQHuomwo meemm How axon mme me. u Hm>mH mo. um.m mo wsHm> HmoHuHuuo .UwcHHumccn who mHmmum>wmm II mm HI. om mo Ho II HH Hm Ho mo HH II oo oH HH. oH Ho II om NH om mH mm coHuua Hucomumo II HH. «H. mm Ho II Ho Ho HH Ho II HH oH HH om II oH Hv mH Ho mcHHmmm Hocomumm II HH mm. om II mm .mm .Mm II mm «H NH II no He mo coHuoa HHUHumsuomHm Hmcomumm II mm mm. II mm mo II MN Hm II mm mH coHumsHm>m Homo: HMCOmHmm II oH II Hm II Hv II Hm suoz HmumHoom m.mH o.mH H.HH m.mH xHuumE II xHuumE II xHHumE II xHHumE II wmxuowumuw HmuwHoom . umwm . n I umwm . n m umm . mm mm m om m Ho mt m mm m u m II mm so mo mm oH II HH Hm Ho oo HH II mH HH oH Hm HH II om om HH mH mo coHuua Hmcomumo II HH om NH Hm II Ho Ho HH Ho II oH oH HH Ho II Hv oH HH .Hm ocHHmmo Hmcomumo II Ho NH om II mm mm .Mm II oo oH mm II no oH mH coHuoa HmoHumsuomHm Hmcomumo II mm Hm II oH oo II HH Hm II Hq mu coHumsHm>m Hmuoz Hmcomumo II flm II om II Mfl II mm Euoz HmumHoom H.mH H.HH H.mH H.HH xHuumE II xHHumE II xHuumE II xHuucE II mm>uowumum HMumHoom Hm. n ma HmcHoHuo om. n ma HmcHoHuo mo. I ma HmcHoHuo Hm. I mo HmcHoHuo o m H H m H o m H H m H o m H H m H o m w H m H omHQEHm mm I 2H mmHQEHm Hm I oH omHQEHm om mIemm umHasmm om I om .mmHmEdm wnu HON 0I23\3m Immfi mcu mo mcoHumeuuou wamEHm mo mHm>Hmc4>5>6 in several nations is further evidence of construct validity and cross-cultural invariance" (p. 33). Jordan (1971a), Morin (1969) and Vurdelja (1970) using the ABS-MR obtained the simplex ordering predicted by Guttman's contiguity hypothesis in 19 out of 25 groups tested. Concurrent validity of the ABS—MR may be inferred from the fact that the older, more experienced, and knowledg- able samples also scored more positively toward the mentally retarded. Data were gathered for the samples on twenty-two predictor variables which offered considerable 'correlational' evidence of the validity of the ABS-MR content, in that groups with known characteristics responded as expected (Gottlieb, 1973; Harrelson, 1970; Harrelson, Jordan, and Horn, 1972; Morin, 1969; and Vurdelja, 1970). Jordan (l972b) reports evidence for concurrent validity in that three ABS-MR studies (Jordan, 1971a; Morin, 1969; Vurdelja, 1970) have differentiated groups with known diverse characteristics in several languages. Evidence for construct validity is seen in analysis of the simplex approximation data. The semantic structure and the obtained statistical structure are in agreement. The simplex results shown in Tables 23 and 24 show the close approximation to the simplex that was obtained with the early ABS-MR scales. Also, other studies using the 203 ABS-MR (Gottlieb, 1973; Harrelson, 1970; Harrelson, Jordan, and Horn, 1972; Jordan, 1970, 1971a, 1971b; Morin, 1969; and Vurdelja, 1970) have obtained results that fit the simplex pattern. Studies (Frechette, 1970; Poulos, 1970; Williams, 1970) using modifications of the ABS-MR scale applied to other attitude objects have also resulted in simplex approximations (Tables 25, 26 and 27). Kaple's (1971) data yield an even closer approximation to the 'perfect' simplex pattern, illustrating that modifications of the original ABS-MR scale applied to other groups can lend support to construct validity. CHAPTER VI DESIGN Those who live in a cold climate and in EurOpe are full of spirit, but wanting in intelligence and skill. [They] keep their freedom but have no political organization, and are incapable of ruling over others (Aristotle, Politics, cited in Kovel, 1970, p. 13). Instrumentation The design for this dissertation is based on Jordan's extensive research at Michigan State University described in detail in Chapter V. Jordan expanded and refined Gutt- man's four-Level facet design into a six-Level design, maintaining the Guttman simplex approximation pattern. Procedure The Attitude Behavior Scales: Whites toward Blacks/ Negroes (ABS-W/B-N) were administered to 254 white Michigan State University students enrolled in Education 450 during the Winter Term of 1972. These students were all education majors who had just completed student teaching and had returned to Michigan State University to take this course to complete their program for certification as teachers. The two Attitude Behavior Scales (Appendix B) that were administered to this group differed only in the subject-object 204 205 referent. One-half of the group received scales with the term 'Negro' in them; the other half received scales with the term 'black' substituted for 'Negro.' The two scales were indexed so that every other scale was an "ABS toward blacks" or an "ABS toward Negroes." Both scales were similar in all other respects. For both ease of sampling and application of the scales later in the course for instructional purposes, black and other non-white students were also given the scale. Black students were given the Attitude Behavior Scale that assessed black attitudes toward white people. As this study is concerned only with white attitudes toward black people, the non-white scale results were not included in the data. However, the black students taking the Attitude Behavior Scale Spring Term were given their own results along with the white students in the class. All data were anonymous as only the individual student knew his subject number. The data from this study were used for instruc- tional purposes in two three-week sections of Education 450 offered Spring Term at Michigan State University. These two sections were two of 74 'modules' offered to students enrolled in the course. Of the 74 sections offered, students could choose the section they desired. Students voluntarily chose the "Attitudes Toward Minority Groups" section. The Attitude Behavior Scales were used as an introduction to 206 material on "Attitudes Toward Minority Groups," the title for these two sections. The two forms ('black' and 'Negro') of the racial Attitude Behavior Scale were administered to these sections of Education 450 Spring Term (22 white students present in the morning section and 25 white students in the afternoon section when the scales were administered). To aid in discovering affective relevance of the terms 'black' and 'Negro,' a Semantic Differential was also administered to the two groups along with the ABS. The Semantic Differential evaluated five words: 'friend,' 'enemy,' 'black person,‘ 'white person,‘ and 'Negro person' on a series of twenty word differentials. The concepts 'black person' and 'Negro person' were randomized, each concept appearing before the other one-half the time. These concepts were rated in three areas on 20 scales: 'evaluation' (10 terms), 'potency' (5 terms), and 'activity' (5 terms), in accordance with previous studies conducted in the area of race and the Semantic Differential (Osgood, Suci, and Tannenbaum, 1957; Williams, 1964, 1966; Lessing and Zagorin, 1972). The words included for each concept were the following: kind- cruel, clean-dirty, bad-good, honest-dishonest, unpleasant- pleasant, worthless-valuable, fair-unfair, cowardly-brave, friendly-unfriendly, unsuccessful-successful, (evaluation); thick-thin, strong-weak, small-large, soft-hard, heavy- light (potency); and cold-hot, active-passive, slow-fast, 207 sharp-dull, violent-moderate (activity). The Semantic Diff- erential scales (Appendix C) were given after the ABS was completed. An analysis was performed comparing the results of the three scales of the Semantic Differential ('evaluation,' 'potency,' and 'activity') with the results of the Attitude Behavior Scale for the Spring Term Education 450 samples. The 'evaluation,' 'potency,' and 'activity' scales of the Semantic Differential were correlated with each of the six separate ABS Levels (Societal Stereotype, Societal Norm, Personal Moral Evaluation, Personal Hypothetical Action, Personal Feeling, Personal Action). The aim of this par- ticular group of comparisons was to see if the E ('evalua- tion'), P ('potency'), and A ('activity') dimensions of the Semantic Differential related to the six Levels of the ABS. Researchers (Osgood, Suci, and Tannenbaum, 1957; Williams, 1969) feel that the E factor is a measure of attitude. Jordan's work (l97la, 1971b, l972a)involves an attempt to analyze attitude into six Levels. The present analysis seeks to find out whether the E factor of the Semantic Differential measures an aspect of attitude similar to that on several Levels of Jordan's attitude-behavior scales. It is an attempt to discover if high scorers on the E factor also score high on the feeling and action Levels (Levels 4-6) of the ABS. According to Osgood, Suci, and Tannenbaum (1957), there is a weaker relationship for the 208 A and P factors in regard to attitude than there is for E. The present analysis compares these factors with the six ABS Levels to find out the relationship of each of the three Semantic Differential scales with the six ABS Levels. Efficacy, in this study, was measured by a five- question 'efficacy' scale used by Hamersma (1969). The scale was derived from research conducted by Wolf (1967). Efficacy, as used by Hamersma, "purports to measure atti— tudes toward man's effectiveness in the face of his natural environment" (p. 98). Some of the research behind the variable of efficacy includes a discussion by Katz and Gurin (1969). They state that efficacy is the one charac- teristic that "most clearly differentiates both children and adults of two races" (p. 364). Further, they feel it is closely related to achievement. Rotter (cited in Katz and Gurin, 1969) calls this variable 'fate control.’ "Individuals vary in the extent to which they feel they can extract material and social benefits from the environment through their own efforts. In its broadest meaning, the construct refers to one's sense of efficacy, or power, and readiness to accept personal responsibility for what happens to him" (Rotter, cited in Katz and Gurin, p. 364). Rotter, Seeman, and Liverant (1962) discussed broad implications of individuals who score high or low on a measure of internal versus external control of reinforce- ment. They hypothesized that individuals who have a high 209 belief in external control of reinforcement (i.e., these individuals would supposedly score low on 'efficacy') would be more passive than those having a low belief in external control. People who felt in control of their surrounding environment, would more likely tend to actively change their position in relation to their environment. Rotter et. al. hypothesized that individuals who are in the middle range of the variable would be likely to increase their own personal satisfactions by understanding the environ- ment, even though they would feel they could not change the environment much. These people adjust by learning "the rules of the game" and although quite conforming, gain maximum satisfaction through their conformity. People with perhaps a still greater belief in inter- nal control may include those who believe in their own potential to change the environment or the world around them. They are not merely ambitious but could be creative, non-conformists, or revolutionary. Their revolutionary goals might be in the political realm of ideas or the arts. Not all peOple at the extreme of internal control could be so characterized because many of them might be highly rigid, moralistic, or immobilized by feelings of failure. However, it is quite possible that the real innovators could be drawn from that population which is relatively high in a generalized belief in internal control of reinforcement (Rotter, Seeman, and Liverant, 1962, p. 476). Rotter (1966) distinguished between a belief in inter- nal control and external control. An individual who believes in a high degree of internal control (high efficacy score) is one who feels that his own behavior and characteristics can determine events that happen to him. A person with a belief in external control, feels more at the mercy of his 210 environment. He believes that forces around him are not entirely at his control; circumstances are considered more unpredictableauuifate or luck is given as a rationale for much that occurs to him. He perceives the world as more complex and therefore difficult to change, effect, or modify. Hypothetically, a person who believes in external control would score low on the efficacy variable. Four studies reported by Rotter confirm this analysis of internal and external control of one's environment. The importance of this variable of efficacy to racial attitudes and atti- tude change has been summarized by Rotter (1966, p. 24) as follows: The individual who perceives that he does not have control over what happens to him may conform or may go along with suggestions when he chooses to and when he is given a conscious alternative. How- ever, if such suggestion or attempts at manipulation are not to his benefit or if he perceives them as subtle attempts to influence him without his aware- ness, he reacts resistively. The findings have considerable significance for the general area of persuasion and prOpaganda. Research Hypotheses H-l: Whites taking the "ABS toward blacks" will have significantly more negative attitudes than whites taking the "ABS toward Negroes." Rationale--Williams (1966) found that whites evaluated 'black person‘ more unfavorably than they rated 'Negro person' on a Semantic Differential. Lessing and Zagorin (1972) found that whites who scored low on a measure of "black power orientation" rated 211 the two concepts, 'black person' and 'Negro person,‘ differently, rating 'black person' lower, but not signifi- cantly lower, than 'Negro person.‘ Whites high in "black power orientation" rated the two concepts about equally, rating 'black person,‘ however, slightly higher than 'Negro person.’ The researchers concluded there was no longer any difference between the two terms. The present author felt that white college students in Education at Michigan State University come from fairly conservative backgrounds and will evaluate 'Negro person' more positively than 'black person,‘ primarily because the concept 'black person' will elicit connotations of black militancy and will hence be more threatening than the concept 'Negro person.‘ Instrumentation--There were two forms of the ABS, "ABS toward blacks" and "ABS toward Negroes." Analysis--Multivariate analysis of variance (MANOVA). H-2: The attitude data from the sample will form a Guttman simplex. Rationale—-According to Guttman's (1959) Contiguity Hypothesis, Levels that are closer together semantically will be closer statistically. The Level-by-Level correlation matrix will approximate a simplex, unless the items were incorrectly written or inaccurately assigned to Levels. Instrumentation--Correlations between the scores of the six Levels of the ABS-WB/WN-G. 212 Analysis--Kaiser g2 H-3: There is a positive relationship between a high efficacy score and positive attitudes on the ABS. Rationale-—A high score on this variable indicates a person who feels in control of his environment and, there- fore, less threatened by it. It is postulated that high scorers will have more positive racial attitudes. Hamersma (1969) found a positive relationship between scores on the efficacy variable and favorable atti— tudes toward the opposite racial group. Dell Orto (1970) found a significant relationship for whites between efficacy and positive attitudes at Level 4 (Personal Hypothetical Action) and Level 5 (Personal Action) of the ABS: BW/WN-G. Allport and Kramer (1946, cited in Dell Orto, 1970) found that "those who were non-efficacious had a jungle philosophy of life--viewing the world as basically evil and dangerous-- and were generally prejudiced" (p. 20). The efficacy scale "was designed to measure atti- tudes toward man and his environment and attempts to deter- mine the respondent's view of the relationship between man and his environment" (Hamersma, 1969, p. 98). The usage and function of this scale was outlined by Wolf (1967, p. 113): The continuum underlying this scale ranged from a View that man is at the mercy of his environment and could only hope to secure some measure of adjustment to forces outside of himself, to a view that man could gain complete mastery of his physical and social environment, and use it for his own purpose. 213 Hamersma (1969, p. 98) termed this variable 'efficacy' because it "purports to measure attitudes toward man's effectiveness in the face of his natural environment." The efficacy scale was one of five attitude scales constructed by Wolf (1967). This particular scale involved testing students' views concerning man and his surrounding, external environment. The scale attempts to measure a continuum of man's attitudes, ranging from viewing man as at the complete mercy of his own environment, only able to obtain some minimal measure of control through science over the forces that surround him, "to a view that man could gain complete mastery of his physical and social environment and use it for his own purposes" (p. 113). The five scales went through several stages of develOpment before they were field tested on persons in seven countries, including the United States. In each country, 150 students from each of several age levels were involved in the testing. The scales were then sub- jected to Guttman unidimensional scale analysis, at which time the items were again evaluated, modified, and refined. According to Wolf (1967, p. 118), "the coefficients of reproducibility for the final scales generally ranged above the .80 to .85 considered acceptable by other researchers." 214 Instrumentation-—The Life Situations Scale by Wolf (l967, p. 122) involving nine items. The nine items on the Attitude Behavior Scale attempting to measure efficacy include items 101-109. Analysis--Correlation coefficients. H-4: Subjects taking the Semantic Differential will give the concept 'Negro person' a significantly higher rating on the 'evaluation' dimension than the con- cept 'black person.‘ Rationale--See H-l, above. Instrumentation--Semantic Differential scores on the 'evaluation' dimension. Analysis--Two-samp1e t-test H-S: Subjects taking the Semantic Differential will give the concept 'black person' a significantly higher rating on the 'potency' dimension of the Semantic Differential than the concept 'Negro person.‘ Rationale--Lessing and Zagorin (1972, p. 70) found consistent results regarding the 'potency' and the 'activity' factors of the Semantic Differential evaluated by both black and white students: Blacks were seen as the strongest, most potent and most active. Negroes were viewed as slightly less strong and active, whites as still less strong and active, with colored persons being viewed as the weakest and most passive. Though the word "Negro" was once held to have the meaning of "slave" by a pre-Civil War court (Isaacs, 1963, p. 65), the contention of Baird (cited in Bennett, 1967, p. 52) that "Negro" evokes a slave image in the minds of twentieth century Americans is questionable on the basis of the present findings: Negro person was perceived as no weaker than white person. Clearly, however, the designation "black person" was the most evocative of the powerful image which black power advocates desire for Afro-Americans. 215 Instrumentation--Correlations between 'black person' and 'Negro person' on the 'potency' dimension of the Semantic Differential. Analysis--Two-sample t-test. H-6: Subjects taking the Semantic Differential will give the concept 'black person' a significantly higher rating on the 'activity' dimension of the Semantic Differential than the concept 'Negro person.‘ Rationale--See H-S, above. Instrumentation--Ratings of 'black person' and 'Negro person' on the 'activity' dimension of the Semantic Differ- ential. Analysis--Two-sample t-test. H-7: A higher efficacy score on the ABS will be correlated with more positive scores on the 'evaluation' dimen- sion of the Semantic Differential for the concepts 'friend,' 'black person,‘ 'white person,‘ 'Negro person,‘ and more negative scores for the concept 'enemy.’ Rationale-—Those persons who feel in control of the environment (score high on the efficacy scale) should have a clearer and more positive conception of what 'friend' means to them. They will have more positive attitudes toward both their own group ('white persons') and other groups ('black persons,‘ 'Negro persons'). It is also believed that they will differentiate between groups they accept and like and groups they do not, hence giving a more nega- tive response to the concept 'enemy.‘ Instrumentation--Correlations between efficacy scores on the ABS and scores on the concepts 'friend,' 216 'black person,‘ 'white person,‘ 'Negro person,‘ and 'enemy' on the 'evaluation' dimension of the Semantic Differential. Analysis--Correlation coefficients. H-8: There will be a positive relationship between high scores on the 'evaluation' dimension of the concept 'black person' and 'Negro person' of the Semantic Differential and positive scores on the ABS. Rationale--Osgood, Suci, and Tannenbaum (1957) define attitude as predispositions to respond distinguish- able from other states of readiness in that they predispose toward an evaluative response. "Score variation along the E dimension covaries closely with the score variation on conventional attitude tests" (p. 193). They further state that studies completed using Thurstone and Guttman scales lend additional support to the notion that the E dimension of the Semantic Differential can be considered a measure of attitude. Fishbein (1965) stated that Osgood equated the 'evaluative' dimension with attitude, a concept's favor- ableness or unfavorableness, goodness or badness. Fishbein stated that Osgood defined attitude as a "predisposition to respond;" this appears contrary to Jordan's (1971a) defini- tion of "attitude as behavior;" however, Osgood's definition is similar to what Jordan is attempting to measure and according to Fishbein, can be divided into six categories, including cognitive, affective, and behavioral intentions or action components. These six categories were as follows: 217 l. Beliefs about the component parts of the object; 2. Beliefs about the characteristics, qualities, or attributes of the object; 3. Beliefs about the objects relations with other objects or concepts; 4. Beliefs about whether the object will lead to or block the attainment of various goals or “valued states;" 5. Beliefs about what should be done with respect to the object; 6. Beliefs about what the object should, or should not, be allowed to do (Fishbein, 1965, pp. 110-111). Osgood, Suci, and Tannenbaum (1957, p. 190) stated the following in regard to attitude and the 'evaluative' dimension of the Semantic Differential. "It seems reasonable to identify attitude, as it is ordinarily conceived in both lay and scientific language, with the evaluative dimension of the total semantic space, as this is isolated in the factorization of meaningful judgments." They did go on to suggest that other dimensions combined with E can improve prediction of attitudes, but build the strongest case for the 'evaluative' factor, and secondarily for the 'potency' and 'activity' factors. "The evaluative meanings of both the skin color, per 22! and the color code term appear to be significantly related to attitudes toward this group of persons . . . the designation of racial groups by color names is one deter- minant of racial attitudes" (Williams, 1969, p. 385). The ABS is an attempt to measure "attitude-behaviors" along a cognitive-affective-conative analysis. This is consistent with McGuire's (1969) analysis of attitude into 218 knowing, feeling, and acting. Jordan uses Guttman's defini- tion of attitude as "a delimited totality of behavior with respect to something" (1950b, p. 51). According to Jordan (l971a), this definition of Guttman's "is consonant with a structural (Foa, 1966, 1968; Foa and Turner, 1970) approach to the facet analysis of attitude-behavior" (Jordan, 1971a, p. 7). Jordan and his associates at Michigan State University have conducted several studies (Bray, 1972, 1973; Dell Orto, 1970; Frechette, 1970; Williams, 1970) indicating that the ABS/BW-WN is a measure of racial-ethnic attitudes. The 'evaluation' factor of the Semantic Differential purports to be a measure of attitude along the cognitive- affective-conative analysis; the ABS also represents a measure of attitude along the same trichotomy of attitude. It is hypothesized that since these two scales propose to measure the same thing, there should be a positive relation— ship between scores on one and scores on the other, if indeed they are both a measure of thinking, feeling, and acting (i.e., 'attitude'). Instrumentation--Correlations between the ABS and the 'evaluation' dimension of the Semantic Differential. Analysis--Correlation coefficients. H-9: There will be no significant correlations between high scores on the 'potency' dimension of the con- cepts 'black person' and 'Negro person' of the Semantic Differential and positive attitudes on the ABS. 219 Rationale--Studies (Osgood, Suci, and Tannenbaum, 1957; Williams, 1969, 1971) have shown that a high score on the 'evaluation' factor is a measure of positive attitudes whereas results concerning high scores on the 'potency' and the 'activity' dimensions are equivocal. Osgood, Suci, and Tannenbaum (1957) specifically defined attitude as a learned implicit process which is potentially bipolar, varies in its intensity, and mediates evaluative behavior" (p. 190). Williams gt_gl., (1971, p. 222) stated that past research has shown that the color name white has been rated as good, weak, and active, while the color name black has been rated as bad, strong, and passive. Research is con- flicting with regard to 'potency' and 'activity.‘ Williams (1966) found the most consistent data with the E dimension; he also found it for P and A, but not as strong nor as consistent. Instrumentation--Correlations between scores on the ABS and scores on the 'potency' factor of the Semantic Differential. Analysis--Correlation coefficients. H-lO: There will be no significant correlations between high scores on the 'activity' dimension of the concepts 'black person' and 'Negro person' of the Semantic Differential and positive attitudes on the ABS. 220 Instrumentation--Correlations between scores on the ABS and scores on the 'activity' dimension of the Semantic Differential. Analysis--Correlation coefficients. CHAPTER VII ANALYSIS OF THE DATA The one thing to keep uppermost in our minds is that whatever is good for the black community will enhance the white community because these communities have always been and always will be inseparable even within their separateness (Sikes, 1971, p. 104). This study investigated several hypotheses con- cerned with two forms of the racial Attitude Behavior Scale-- ABS/WB-WN, and a form of the Semantic Differential. Two forms of the ABS were used, testing white "attitudes toward blacks" and white "attitudes toward Negroes." The Semantic Differential was used to investigate white students' atti- tude meanings toward the concepts 'friend,' 'enemy,' 'black,‘ 'white,' and 'Negro' on the three dimensions of 'evaluation,' 'potency,' and 'activity.‘ The two scales, ABS and Semantic Differential, were compared to one another. Analysis Procedure The data were analyzed on the CDC 3600 and CDC 6500 at the Michigan State University Computer Center. Table 29 contains the basic variables list used in this study. 221 TABLE 29.--ABS-BW/WN/WB: 222 . . a BaSic Variables List by IBM Card and Column. Brodwin Study (U.S. = 133). IBM ABS-BW/WN/WB Variable Range Card Column Page Item 1. Stereotype 14-42 1 21-34 1-2 1-14 m 2. Normative 14-42 2 21-34 3-4 15-28 r3 3. Moral eval. 14-42 3 21-34 5-6 29-42 H 4. Hypothetical 14-42 4 21-34 7-8 43-56 3 5. Feeling 14-42 5 21-34 9-10 57—70 a 6. Action 14—42 6 21-34 11-12 71-84 7. Sex 1-2 1-6 36 13 85 8. Age 1-5 1-6 37 13 86 6 9. Marital 1-5 1-6 38 13 87 g 10. Religion 1-5 1-6 39 14 88 ll. Educ. -amt. 1-5 1-6 40 14 89 Change 12. Child rearing 1-4 1-6 41 14 9O 13. Birth control 1-4 1-6 42 14 91 p 14. Kind 1-3 1-6 43 15 92 8 15. Amount 1-5 1-6 44 15 93 g 16. Avoid 1-5 1-6 45 15 94 8 l7. Gain 1-5 1—6 46 15 95 18. Enjoy 1-5 1-6 47 16 96 19. Prejudice-reduce 1-5 1-6 48 16 97 8 20. Racial attitude 1—5 1-6 49 16 98 g 21. Ethnicity 1-5 1-6 50 16 99 22. Urbanity 1-4 1-6 51 17 100 Value 23. Efficacy 9-36 1-6 52-60 18-19 101-109 :3 24. Friend8 7 7 19-38 a 25. Enemy 7 7 40-59 . 26. Black 7 7 61-80 E 27. White 8 8 19-38 In 28. Negro 8 8 40-59 29. Nation (133) 001-999 1-6 1-3 -- -- 5‘ 30. Groupéinterest 01-99 1-6 4-5 -- -- jg 31. Group-admin.C 01-99 1—6 6-7 -- -— g 32. Subject no. 001-999 1-6 8-10 -- -- g 33. Card no. 1-6 1-6 11 -- -- 34. Attitude object 1—6 1-6 12 -- -- a0n the 112271 edition of the ABS-WB/BW bFemale = 1, male = 2. CAdmin. group 1:8:00 a.m.--Spring, 1972 2:12:00 noon--Spring, 1972 3=Winter term, 1972 d Attitude object (col. 12)-- l = blaCk; 2 = Negro. eEach "concept" has 20 bipolar terms as follows: Evaluation--19,21,23,25,27,29,31,33, 35,37 Potency--20,24,28,32,36 223 Descriptive Statistics Two Frequency Column Count Programs (Clark, 1964) were used to compile the frequency distributions for every item in the instruments used in this study. This procedure was useful to insure prOper and accurate representation of the data in the computer prior to running it in computational programs. Statistical Analysis In the CDC STATROUT Program (Ruble, Paulson, & Rafter, 1966), a great amount of data can be employed in one analysis. Separate analyses can be done for the total group andiknrany number of sub-groups or partitionings of the data. For each specified group, e.g., total, "ABS toward blacks," "ABS toward Negroes,‘ etc., a number of statistics can be requested. Those used for each partitioning in this research were the means and standard deviations for each variable and the matrix of simple correlations between all variables. Two sample t-tests for dependent samples were used in the analysis as well as the Finn Program (Finn, 1970) for multivariate analysis of variance (MANOVA). Simplex Approximation Kaiser (1962) has suggested a procedure for testing for a simplex approximation. Kaiser's approach may be seen as performing two functions: (a) the 'sorting' and 224 rearranging of all possible arrangements of adjacent pairs, and (b) the assignment of a statistic, g2 to the original and rearranged matrices. The index g2 is a descriptive one, with a range of 0.00 to 1.00. A computer program has been developed at Michigan State University which will (a) reorder the obtained level member correlations of each ABS: WB-WN matrix by Kaiser'sl procedure to generate the 'best' empirically possible simplex approximation, and (b) will calculate the Q2 for both the obtained and the empirically best ordering of each matrix. Significance Level The .05 level is proposed as constituting signifi- cance beyond chance for correlational coefficients,multi- variate analysis of variance, and two-sample t-tests in the present research. Research Hypotheses H-l: Whites taking the "ABS toward blacks" will have significantly more negative attitudes than whites taking the "ABS toward Negroes." The results of the present study, using subjects taking the two forms of the ABS, 'black' and 'Negro,'found lAs documented elsewhere by Jordan (Harrelson, Jordan, & Horn, 1972). Guttman has pointed out that the Kaiser pro- cedure is limited to a simplex of the form r-k = aj/ak (jn>ha strongly disagree agree strongly disagree agree Someday the deserts will be converted into good farming land by the application of engineering and science £~uahara 0 strongly disagree agree strongly disagree agree -19- ABS-WB-D 107. Education can only help people develop their natural abilities; it cannot change peOple in any fundamental way. strongly agree agree disagree strongly disagree ¢~uan>e: . O O 108. With hard work anyone can succeed I. strongly disagree 2. disagree 3. agree 4 strongly agree 109. Almost every present human problem will be solved in the future strongly disagree disagree agree strongly agree waI—I .00 112272 APPENDIX B-2 ATTITUDE BEHAVIOR SCALE WN-G 313 112272 ATTITUDE BEHAVIOR SCALE-WN-G DIRECTIONS This booklet contains statements of how people behave in certain situations or feel about certain things. You, yourself, or other White psrsons often behave in the same way toward Negroes. You also have some general ideas about yourself, about other White persons like you and about Negroes. Sometimes you feel or behave the same way toward everyone and sometimes you feel or behave differently toward Negroes. This questionnaire has statements about ideas and about behavior. Each statement of this questionnaire is different from every other section, although some of the statements in each section are similar. Your answers in one section, therefore, may be the same as answers in another section, or your answers may differ from section to section. Here is a sample statement: Sample 1 Other Whites believe the following things about Negroes as compared to Whites: 1. Chance of Negroes being taller <;> less chance than Whites . about the same 3. more chance than Whites If other Whites believe that Negroes have less chance than Whites to be taller, you should circle the number 1 as shown above or if you are using an IBM answer sheet make a heavy dark line on the answer sheet between the two lines after the number as follows: 1. 1 ’ 2 === 3 =:: 4 ::: 5 ==: ***************4 DO NOT PUT YOUR NAME ON THE BOOKLET ***************** by: (Ekichard J. Hamersma John E. Jordan College of Education Michigan State University ABS-I-WN-G Directions: Section I This section contains statements about ideas which other Whites have about Negroes. Circle or fill in the answer sheet number that indicates how other Whites compare Negroes with themselves. Please answer all questions. Other Whites believe the following things about Negroes as compared to Whites: l. Negroes can be trusted with money 1. less than Whites 2. about the same as Whites 3. more than Whites 2. Negro families are closely knit 1. less often than White ones 2. about as often as White ones 3. more often than White ones 3, Negroes' intellectual ability is 1. less than Whites' 2. about the same as Whites' 3. more than Whites' 4. Negroes desire a higher education 1. less often than Whites 2. about as often as Whites 3. more often than Whites 5. Negroes help their neighbors 1. less than Whites do 2. about the same as Whites do 3. more than Whites do 6. Negro neighborhoods are safe 1. less often than White ones 2. about as often as White ones 3. more often than White ones 7. Negroes obey job rules and regulations 1. less than Whites 2. about the same as Whites 3. more than Whites 8. Whites enjoy working with Negroes 1. less than Negroes do with Whites 2. about the same as Negroes “2272 3. more than Negroes do with Whites 112272 -2- ABS-I-WN-G Other Whites believe the following things about Negroes as compared to Whites: 9. 10. ll. 12. l3. l4. Negroes resist arrest 1. more than Whites 2. about the same as Whites 3. less than Whites Negroes are victims of "police brutality" l. more than Whites 2. about the same as Whites 3. less than Whites Negroes misuse trial-by-jury l. more often than Whites 2. about as often as Whites 3. less often than Whites Whites vote for Negro candidates for public office 1. less than Negroes do for Whites 2. about the same as Negroes do for Whites 3. more than Negroes do for Whites Negroes desire draft deferments l. more often than Whites 2. about as often as Whites 3. less often than Whites Negroes are careful with their weapons 1. less often than Whites 2. about as often as Whites 3. more often than Whites 11272 -J- ABS-II-WN-G Directions: Section II This section contains statements about things which most Whites generally believe others would experience when interacting with Negroes. Please choose the answer that indicates what you think most others believe about Negroes. Most Whites generally believe the following about interacting with Negroes: 15. l6. l7. l8. 19. 20. 21. Whites believe they can trust Negroes with money 1. disagree 2. uncertain 3. agree Whites believe that Negro families are as closely knit as their own 1. disagree 2. uncertain 3. agree Whites believe the intellectual ability of Negroes is equal to theirs 1. disagree 2. uncertain 3. agree Whites believe they want to do their study or school work with Negroes 1. disagree 2. uncertain 3. agree Negroes like to help their neighbors 1. less than Whites do 2. about the same 3. more than Whites do Whites believe that Negro neighborhoods are safe for Whites 1. disagree 2. uncertain 3. agree Whites believe Negroes obey job rules and regulations as much as they do 1. disagree 2. uncertain 3. agree -4- ABS-II-WN-G Most Whites generally believe the following about interacting with Negnoes: 22. 23. 24. 25. 26. 27. 28. 112272 Whites believe they enjoy working with Negores 1. disagree 2. uncertain 3. agree Negroes believe in resisting arrest from White policemen 1. agree 2. uncertain 3. disagree Whites believe that Negroes are the victims of "police brutality" from Whites 1. agree 2. uncertain 3. disagree Whites usually use trial-by-jury fairly when they deal with Negroes 1. usually not believed in 2. undecided 3. usually believed in For Whites to vote with Negroes for Negro candidates for public office 1. usually not approved 2. undecided 3. usually approved For Whites to be given draft deferements more than Negroes 1. usually approved 2. undecided 3. usually not approved For Negroes to be as careful with their weapons as Whites are . usually not approved 1 2. undecided 3. usually approved [2272 ‘J" ABS-III-WN-G Directions: Section III This section contains statements of the right or wrong way of behaving or acting toward Negroes. You are asked to indicate what you yourself believe others think should be done with respect to Negroes. In respect to Negroes, what do you belieye others think is right or wrong: 29. 30. 31. 32. 33. 34. 35. To 1. 20 3 trust Negroes with money is usually wrong undecided usually right expect Negro families to be as closely knit as White ones is usually wrong undecided usually right expect Negroes' intellectual ability to be the same as Whites is usually wrong undecided usually right expect Negroes to desire a higher education as much as Whites do is usually wrong undecided usually right expect Whites to help Negro neighbors is usually wrong undecided usually right expect Whites to believe that Negro neighborhoods are safe for them is usually wrong undecided usually right expect Negroes to obey job rules and regulations the same as Whites do is usually wrong undecided usually right -5- In respect to Negroes, what do you believe others think is right or wrong: 36. 37. 38. 39. 40. 41. 42. 227 expect Whites to enjoy working with Negroes is to resist arrest from White officials is to be the victims of "police brutality" from Whites is expect Whites to misuse trial-by-jury when they deal with Negroes is To expect Whites to vote with Negroes for Negro candidates for public expect Negroesto be given draft deferments equally with Whites is To 1. usually wrong 2. undecided 3. usually right To expect Negroes 1. usually right 2. undecided 3. usually wrong To expect Negroes 1. usually right 2. undecided 3. usually wrong To 1. usually right 2. undecided 3. usually wrong office is 1. usually wrong 2. undecided 3 usually right To 1. usually wrong 2. undecided 3. usually right To expect Negroes usually wrong undecided usually right to be as careful with their weapons as Whites are is [2272 -7- ABS-IV-WN-G Directions: Section IV This section contains statements about how you think you would act toward Negroes. Choose the answer that indicates how you think you would act. In respect to a Negro person would you yourself: 43. 44. 45. 46. 47. 48. 49. I would trust Negroes with money 1. no 2. undecided 3. yes I would want my family to be as closely knit as Negro families are 1. no 2. undecided 3. yes I would want my intellectual ability to be the same as that of Negroes 1. no 2. undecided 3. yes I would want to have the same desire Negroes do for a higher education 1. no 2. undecided 3. yes I would help Negro neighbors 1. no 2. undecided 3. yes I would want White neighborhoods to be as safe as I think Negro ones are 1. no 2. undecided 3. yes I would obey job rules and regulations the same as Negroes 1. no 2. undecided 3. yes 2272 -3- ABS-IV-WN-G In respect to a Negro person would you yourself: 50. 51. 52. 53. 54. 55. 56. I would enjoy working with Negroes 1. no 2. undecided 3. yes I would resist arrest if arrested by Negroes 1. yes 2. undecided - 3. no 5} l . I would expect "police brutality" from Negroes . l ..3- 1. yes 2. undecided 3. no Would you use trial-by-jury equally when dealing with Negroes? 1. no 2. undecided 3. yes Would you vote for a Negro candidate for public office? 1. no 2. undecided 3. yes Would you want Whites to be given draft deferments as much as Negroes? 1. no 2. undecided 3. yes WOuld you be as careful with weapons as you think Negroes are? 1. no 2. undecided 3. yes 2272 -9- ABS-V-WN-G Directions: Section V This section concerns actual feelings that you yourself may have about Negroes. You are asked to indicate how you feel about the following statements. How do you actually feel toward Negroes: 57. 58. 59. 60. 61. 62. 63. When Whites trust Negroes with money I feel 1. bad 2. indifferent 3. good When White families are as closely knit as I think Negro families are I feel 1. bad 2. indifferent 3. good When Negroes' intellectual ability is the same as Whites I feel 1. bad 2. indifferent 3. happy When Negroes desire a higher education as much as Whites do, I feel 1. bad 2. indifferent 3. good When Whites help Negro neighbors I feel 1. bad 2. indifferent 3. good When Whites are safe in Negro neighborhoods, I feel 1. bad 2. indifferent 3. good When Negroes obey job rules and regulations the same as Whites, I feel 1. dissatisfied 2. indifferent 3. satisfied .12272 -10- ABs-V-WN-G How do you actually feel toward Negroes: 64. 65. 66. 67. 68. 69. 70. When Whites enjoy working with Negroes I feel 1. bad 2. indifferent 3. good When Negroes resist arrest the same as Whites, I feel 1. dissatisfied 2. indifferent 3. satisfied When Negroes use "police brutality" the same as Whites do, I feel 1. bad 2. indifferent 3. good When Whites misuse trial-by-jury in relation to Negroes, I feel 1. happy 2. indifferent 3. angry When Whites vote for Negro candidates for public office, I feel 1. bad 2. indifferent 3. good When Negroes are given draft deferments as much as Whites, I feel 1. dissatisfied 2. indifferent 3. satisfied When Negroes are as careful with their weapons as Whites are, I feel 1. dissatisfied 2. indifferent 3. satisfied 2712 -11- ABS-VI-WN-G Directions: Section VI This section concerns actual experiences you have had with Negroes. Try to answer the following questions from the knowledge of your own experience. If you have had pg_experience or contact with Negroes,omit questions 71:84 and begin again at question number 85. If you have had any experience or contact with Negroes answer all of the following questions. '__ Experiences or contacts with Negroes: 71. I have trusted Negroes with money 1. no 2. uncertain 3. yes 72. I have seen that Negro families are as closely knit as White ones 1. no 2. uncertain 3. yes 73. The intellectual ability of Negroes is equal to mine 1. no 2. uncertain 3. yes 74. The Negroes I know wanted a higher education as much as I did 1. no 2. uncertain 3. yes 75. I have helped a Negro neighbor 1. no 2. uncertain 3. yes 76. I have felt safe when in Negro neighborhoods 1. no 2. uncertain 3. yes 77. I have seen that Whites obey job rules and regulations when working with Negroes 1. no 2. uncertain 3. yes 2272 -12- ABS-VI-WN-G Experiences or contacts with Negroes: 78. 69. 80. 81. 82. 83. 84. I have enjoyed working with Negroes 1. no 2. uncertain 3. yes I have resisted arrest by Negroes 1. yes 2. uncertain 3. no I have been the victim of "police brutality" from Negroes 1. yes 2. uncertain 3. no I have seen Whites misuse trial-by-jury with Negroes 1. yes 2. uncertain 3. no I have seen that Whites vote for Negro candidates for public office 1. no 2. uncertain 3. yes I have seen that Negroes are given draft deferments as much as Whites 1. no 2. uncertain 3. yes I have seen that Negroes are as careful with their weapons as Whites 1. no 2. uncertain 3. yes -13- ABS-WN-D ATTITUDE BEHAVIOR SCALE - ABS-WN-D This part of the questionnaire deals with many things. For the purpose of this study, the answers 2: all persons are important. Part of the questionnaire has to do with personal information about you. Since the questionnaire is completely anonymous or confidential, you may answer all of the questions freely without any concern about being identified. 15 is_ipportant go the study so obtain your answer £o_every question. Please read each question carefully and_g2 not omit any questions. Please answer by circling the answer or marking the space on the IBM answer sheet. 85. Please indicate your sex. 1. Female 2. Male 86. Please indicate you age as follows: 1. Under 20 2. 21-30 3. 31-40 4. 41-50 5. Sl-over 87. What is your marital status? 1. Married 2. Single 3. Divorced 4. Widowed 5. Separated .2272 -14- ABS-WN-D 88. What is your religion? 1. 2. 3. 4. 5. I prefer not to answer Catholic Protestant Jewish Other 89. Please indicate level of education 4. 5. A First year university Second year university l-r - \- —A\ -.‘h- .4 ‘fi I. u I Third year university Fourth year university Graduate student 90. Some people feel that in bringing up children, new ways and methods should be tried whenever possible. Others feel that trying out new methods is dangerous. What is your feeling about the following statement? "New methods of raising children should be tried whenever possiblef' l. 2. 3. 4. Strongly disagree Slightly disagree Slightly agree Strongly agree 91. Family planning on birth control has been discussed by many people. What is your feeling about a married couple practicing birth control? 1. 2. 112272 It is always wrong It is usually wrong It is probably all right It is always right -15- ABS-WN-D 92. The following questions have to do with kinds of eXper1ences you have had with Negroes. answer with the highest number. 1. If more than one experience applies, please choose the I have read or studied about Negroes through reading, movies, lecture or observation. A friend or relative is a Negro person. I have personally worked with Negroes as teacher, counselor, volunteer, child care, etc. 93. Considering all of the times you have talked, worked or in some other way had personal contact with Negroes about how much has it been altogether? 1. 2. 3. 4. 5. Only a few casual contacts. Between one and three months. Between three and six months. Between six months and one year. More than one year of contact. r=s [‘I' -. ‘ .‘ 94. When you have been in contact with Negroes, how easy for you, in general, would you say it would have been to have avoided being with them? 1. 2. I have had no contact. I could generally have avoided these cost or difficulty. I could generally have avoided these considerable difficulty. I could generally have avoided these inconvenience. I could generally have avoided these difficulty or inconvenience. personal personal personal personal contacts only at great contacts only with contacts but with some contacts without any 95. If you have ever worked with Negroes for personal gain (for example, for money or some other gain) what opportunities did you have (or do you have) to work at something else instead; that is, something else that was (is) acceptable to you as a job? 1. 2. 112272 No such experience. No other job available. Other jobs available not s5 all acceptable to me. Other jobs available were not guite acceptable to me. Other jobs available were fully acceptable to me. -16- ABS-WN-D 96. How have you generally felt about your experiences with Negroes? l. 2. 3. 4. 5. No experience. I definitely dislike it. I did not like it very much. I like it somewhat. I definitely enjoyed it. 97. Which of the following do you think would have the greatest effect of reducing racial prejudice? Circle only one or mark one on the IBM answer sheet. 1. Integration of schools. 2. Publicity campaigns to promote integration. 3. Fair employment legislation. 4. Open housing legislation. 5. Direct, personal contact between members of various racial groups. 98. How would you rate your own racial attitudes as compared to the average person? 1. Very much more prejudiced. 2. Somewhat more prejudiced. 3. About the same. 4. Somewhat less prejudiced. 5. Very much less prejudiced. 99. To which racial group do you belong? l. 2. 112272 Prefer not to answer. White Black Oriental Other 6 C1 u-Ml'1 -l7- ABS-WN-D 100. Where were you mainly reared or "brought up” in your youth (that is, up to age 21)? 1. country 2. country town 3. city suburb 4. city 112272 -18- ABS-VJ-D LIFE SITUATIONS This section of the booklet deals with how people feel about several aspects of life or life situations. Please indicate how you feel about each situation by circling the answer you choose or marking on the IBM answer sheet. 101. 102. 103. 104. 105. 106. 112272 It should be possible to eliminate war once and for all DwNI-I 0.. strongly disagree agree strongly disagree agree Success depends to a large part on luck and fate 5'1 waI-I 0.. strongly agree disagree strongly Someday most buNI-I By strongly disagree agree strongly improving in the world waI—I strongly disagree agree strongly agree disagree of the mysteries of the world will be revealed by science disagree agree industrial and agricultural methods, poverty can be eliminated disagree agree With increased medical knowledge it should be possible to lengthen the average life span to 100 years or more waI—I strongly disagree disagree agree strongly agree Someday the deserts will be converted into good farming land by the application of engineering and science Il-‘wNI—I .0. strongly disagree disagree agree strongly agree 112272 107. 108. 109. Education can only help people develop their natural abilities; it -19- ABS-WN-D cannot change people in any fundamental way. waH 0. strongly agree disagree strongly agree disagree With hard work anyone can succeed «bump—I 0.. strongly disagree agree strongly Almost every J-‘UONH 0 strongly disagree agree strongly disagree agree present human problem will be solved in the future disagree agree -_. Man-— "I” APPENDIX B-3 ATTITUDE BEHAVIOR SCALE BW-G 334 ATTITUDE BEHAVIOR SCAIE-BW-G DIRECTIONS This booklet contains statements of how people behave in certain situations or feel about certain things. You, yourself, or other Black persons often behave in the same way toward Whites. You also have some general ideas about yourself, about other Black persons like you and about Whites. Sometimes you feel or behave the same way toward everyone and sometimes you feel or behave differently toward Whites. This questionnaire has statements about ideas and about behavior. Each statement of this questionnaire is different from every other section, although some of the statements in each section are similar. Your answers in one section, therefore, may be the same as answers in another section, or your answers may differ from section to section. Here is a sample statement: Sample‘l Other Blacks believe the following things about Whites as compared to Blacks: l. Chance of Whites being taller 9 less chance than Blacks . about the same 3. more chance than Blacks If other Blacks believe that Whites have less chance than Blacks to be taller, you should circle the number 1 as shown above or if you are using an IBM answer sheet make a heavy dark line on the answer sheet between the two lines after the number as follows: 1,1- 2:: 3:2: 4:: 5:: ******************* DO NOT PUT YOUR NAME ON THE BOOKLET ******************* by: (:kichard J. Hamersma John E. Jordan College of Education Michigan State University 112272 ABS-I-BW-G Directions: Section I This section contains statements about ideas which other Blacks have about Whites. Circle 2; fill in the answer sheet number that indicates how other Blacks compare Whites with themselves. Please answer all questions. Other Blacks believe the following things about Whites as compared to Blacks: 1. Whites can be trusted with money 1. less than Blacks 2. about the same as Blacks 3. more than Blacks 2. White families are closely knit 1. less often than Black ones 2. about as often as Black ones 3. more often than Black ones 3. Whites' intellectual ability is 1. less than Blacks' 2. about the same as Blacks' 3. more than Blacks' 4. Whites desire a higher education 1. less often than Blacks 2. about as often as Blacks 3. more often than Blacks U1 0 Whites help their neighbors 1. less than Blacks do 2. about the same as Blacks do 3. more than Blacks do 6. White neighborhoods are safe 1. less often than Black ones 2. about as often as Black ones 3. more often than Black ones 7. Whites obey job rules and regulations 1. less than Blacks 2. about the same as Blacks 3. more than Blacks 8. Blacks enjoy working with Whites 1. less than Whites do with Blacks 2. about the same as Whites 3. more than Whites do with Blacks 117777 -2- ABS-I-BW-G ()ther Blacks believe the following things about Whites as compared to Blacks: 9. Whites resist arrest 1. more than Blacks 2. about the same as Blacks 3. less than Blacks 10. Whites are victims of "police brutality" 1. more than Blacks 2. about the same as Blacks 3. less than Blacks 11. Whites misuse trial-by-jury 1. more often than Blacks 2. about as often as Blacks 3. less often than Blacks 12. Blacks vote for White candidates for public office 1. less than Whites do for Blacks 2. about the same as Whites do for Blacks 3. more than Whites do for Blacks 13. Whites desire draft deferments l. more often than Blacks 2. about as often as Blacks 3. less often than Blacks 14. Whites are careful with their weapons 1. less often than Blacks 2. about as often as Blacks 3. more often than Blacks 112272 .r- -—r-—-q -3- ABS-II-BW-G Directions: Section II This section contains statements about things which most Blacks generally believe others would experience when interacting with Whites. Please choose the answer that indicates what you think most others believe about Whites. Most Blacks generally believe the following about interacting with Whites: 15. Blacks believe they can trust Whites with money 1. disagree 2. uncertain 3. agree HI‘ 16. Blacks believe that White families are as closely knit as their own i 1. disagree e.. 2. uncertain 3. agree 17. Blacks believe the intellectual ability of Whites is equal to theirs 1. disagree 2. uncertain 3. agree 18. Blacks believe they want to do their study or school work with Whites 1. disagree 2. uncertain 3. agree 19. Whites like to help their neighbors 1. less than Blacks do 2. about the same 3. more than Blacks do 20. Blacks believe that White neighborhoods are safe for Blacks 1. disagree 2. uncertain 3. agree 21. Blacks believe Whites obey job rules and regulations as much as they do 1. disagree 2. uncertain 3. agree 112272 —q— ABS-II-BW-G Most Blacks generally believe the following about interacting with Whites: 22. 23. 24. 25. 26. 27. 28. Blacks believe they enjoy working with Whites 1. disagree 2. uncertain 3. agree Whites believe in resisting arrest from Black policemen 1. agree 2. uncertain 3. disagree Blacks believe that Whites are the victims of "police brutality" from Blacks 1. agree 2. uncertain 3. disagree Blacks usually use trial-by-jury fairly when they deal with Whites 1. usually not believed in 2. undecided 3 usually believed in For Blacks to vote with Whites for White candidates for public office 1. usually not approved 2. undecided 3 usually approved For Blacks to be given draft deferments more than Whites 1. usually approved 2. undecided 3 usually not approved For Whites to be as careful with their weapons as Blacks are 1. usually not approved 2. undecided 3. usually approved 112272 IH rut-Lions: Section III -J- ABS-III-BW-C This section contains statements of the right or wrong way of behaving or acting toward Whites. You are asked to indicate what you yourself belie!g_others think should be done with respect to Whites. In reapect to Whites, what do 222 believe othoza think is right expect White families to be as closely knit as Black ones is expect Whites' intellectual ability to be the same as Blacks is desire a higher education as much as Blacks do is help White neighbors is believe that White neighborhoods are safe for them is obey job rules and regulations the same as Blacks do is or wrong: 29. To trust Whites with money is 1 usually wrong 2. undecided 3 usually right 30. To 1. usually wrong 2. undecided 3. usually right 31. To 1. usually wrong 2. undecided 3. usually right 32. To expect Whites to 1. usually wrong 2. undecided 3. usually right 33. To expect Blacks to 1. usually wrong 2. undecided 3. usually right 34. To expect Blacks to 1. usually wrong 2. undecided 3. usually right 35. To expect Whites to 1. usually wrong 2. undecided 3. usually right 112272 -b- ABS-III-BW-G In respect to Whites, what do you believe others think is right or wrong: 36. 37. 38. 39. 40. 41. 42. To expect Blacks to 1. usually wrong undecided 3. usually right N To expect Whites to usually right undecided usually wrong UNH To expect Whites to usually right undecided usually wrong “NH To expect Blacks to 1. usually right 2. undecided 3. usually wrong To expect Blacks to office is 1. usually wrong 2. undecided 3. usually right To expect Whites to 1. usually wrong 2. undecided 3. usually right To expect Whites to 1. usually wrong 2. undecided 3. usually right 112272 enjoy working with Whites is resist arrest from Black officials is be the victims of "police brutality" from Blacks is misuse trial-by-jury when they deal with Whites is vote with Whites for White candidates for public be given draft deferments equally with Blacks is be as careful with their weapons as Blacks are is ABS-IV-BW-G Directions: Section IV This section contains statements about how you think you would act toward Whites. Choose the answer that indicates how you think you would act. In reapect to a White person would you yourself: 43. 44. 45. 46. 47. 48. 49. I would trust Whites with money 1. no 2. undecided 3. yes I would want my family to be as closely knit as White families are 1. no 2 undecided 3. yes I would want my intellectual ability to be the same as that of Whites 1. no 2 undecided 3. yes I would want to have the same desire Whites do for a higher education 1. no 2 undecided 3. yes I would help White neighbors 1. no 2 undecided 3. yes I would want Black neighborhoods to be as safe as I think White ones are 1. no 2 undecided 3. yes I would obey job rules and regulations the same as Whites 1. no 2. undecided 3. yes 112272 -3- ABS-IV-BW-G In respect to a White person would you yourself: 50. 51. 52. S3. 54. SS. 56. 112272 I would enjoy working with Whites 1. no 2. undecided 3. yes I would resist arrest if arrested by Whites 1. yes 2. undecided 3. no I would expect "police brutality" from Whites 1. yes i 2. undecided { 3. no Would you use trial-by-jury equally when dealing with Whites? 1. no 2. undecided 3. yes Would you vote for a White candidate for public office? 1. no 2. undecided 3. yes Would you want Blacks to be given draft deferments as much as Whites? 1. no 2. undecided 3. yes Would you be as careful with weapons as you think Whites are? 1. no 2. undecided 3. yes -’- ABS-V-BW-C Directions: Section V This section concerns actual feelings that you yourself may have about Whites. You are asked to indicate how you feel about the following statements. How do you actually feel toward Whites: 57. When Blacks trust Whites with money I feel 1. bad 2. indifferent 3. good 58. When Black families are as closely knit as I think White families are I feel 1. bad 2. indifferent 3. good 59. When Whites' intellectual ability is the same as Blacks I feel 1. bad 2. indifferent 3. happy 60. When Whites desire a higher education as much as Blacks do, I feel 1. bad 2. indifferent 3. good 61. When Blacks help White neighbors I feel 1. bad 2. indifferent 3. good 62. When Blacks are safe in White neighborhoods, I feel 1. bad 2. indifferent 3. good 63. When Whites obey job rules and regulations the same as Blacks, I feel 1. dissatisfied 2. indifferent 3. satisfied 112272 -10- ABS-V-BW-G How do you actually feel toward Whites: 64. 65. 66. 67. 68. 69. 70. When Blacks enjoy working with Whites I feel 1. bad 2. indifferent 3. good When Whites resist arrest the same as Blacks, I feel 1. dissatisfied 2. indifferent 3. satisfied When Whites use "police brutality" the same as Blacks do, I feel 1. bad 2. indifferent 3. good When Blacks misuse trial-by-jury in relation to Whites, I feel 1. happy 2. indifferent 3. angry When Blacks vote for White candidates for public office, I feel 1. bad 2. indifferent 3. good When Whites are given draft deferments as much as Blacks, I feel 1. dissatisfied 2. indifferent 3. satisfied When Whites are as careful with their weapons as Blacks are, I feel 1. dissatisfied 2. indifferent 3. satisfied 112272 AISS-VI- ISW-(t Directions: Section VI This section concerns actual Experiences you have had with Whites. Try to answer the following questions from the knowledge of your oyp_experience. If you have had 33 experience or contact with Whites, omit questions 71-84 and begin again at question number 85.. If you have had any experience 25 contact with Whites answer all of the following questions. Experiences or contacts with Whites: 71. 72. 73. 74. 75. 76. 77. I have trusted Whites with money 1. no 2. uncertain 3 yes I have seen that White families are as closely knit as Black ones 1. no 2. uncertain 3. yes The intellectual ability of Whites is equal to mine 1 no 2. uncertain 3 yes The Whites I know wanted a higher education as much as I did 1 no 2. uncertain 3 yes I have helped a White neighbor 1. no 2. uncertain 3 yes I have felt safe when in White neighborhoods 1. no 2. uncertain 3. yes I have seen that Blacks obey job rules and regulations when working with Whites 1. no 2. uncertain 3. yes 112272 -12- ABS-VI-BW-G Experience or contacts with Whites: 78. 79. 80. 81. 82. 83. 84. I have enjoyed working with Whites 1. no 2. uncertain 3. yes I have resisted arrest by Whites 1. yes 2. uncertain 3. no I have been the victim of "police brutality" from Whites 1. yes 2. uncertain 3. no I have seen Blacks misuse trial-by-jury with Whites 1 yes 2. uncertain 3 no I have seen that Blacks vote for White candidates for public office 1. no 2. uncertain 3 yes I have seen that Whites are given draft deferments as much as Blacks 1. no 2. uncertain 3. yes I have seen that Whites are as careful with their weapons as Blacks 1. no 2. uncertain 3. yes 112272 112272 -13- ATTITUDE BEHAVIOR SCALE - ABS-BW-D This part of the questionnaire deals with many things. For the purpose of this study, the answers pf all persons are important. Part of the questionnaire has to dO‘With personal information about you. Since the questionnaire is completely anonymous or confidential, you may answer all of the questions freely without any concern about being identified. lE.i§ important £2_the study £9 obtain your answer £2 every question. Please read each question carefully and d2 not omit any questions. Please answer by circling the answer or marking the peace on the IBM answer sheet. 85. Please indicate your sex. 1. Female 2. Male 86. Please indicate your age as follows: 1. Under 20 2. 21-30 3. 31-40 4. 41-50 5. 51-over 87. What is your marital status? 1. Married 2. Single 3. Divorced 4. Widowed 5. Separated 112272 88. 89. 90. 91. ~14- ABS-BW-D What is your religion? 1. I prefer not to answer 2. Catholic 3. Protestant 4. Jewish 5. Other Please indicate level of education 1. First year university 2. Second year university 3. Third year university 4. Fourth year university 5. Graduate student Some people feel that in bringing up children, new ways and methods should be tried whenever possible. Others feel that trying out new methods is dangerous. What is your feeling about the following statement? "New methods of raising children should be tried whenever possible." 1. Strongly disagree 2. Slightly disagree 3. Slightly agree 4. Strongly agree Family planning on birth control has been discussed by many people. What is your feeling about a married couple practicing birth control? 1. It is always wrong 2. It is usually wrong 3. It is probably all right 4. It is always right 112272 92. 93. 94. 95. -15- ABS-BW-D The following questions have to do with kinds of experiences you have had with Whites. If more than one experience applies, please choose the answer with the highest number. 1. I have read or studied about Whites through reading, movies, lecture or observation. 2. A friend or relative is a White person. 3. I have personally worked with Whites as a teacher, counselor, volunteer, child care, etc. Considering all of the times you have talked, worked or in some other way had personal contact with Whites, about how much has it been altogether? 1. Only a few casual contacts. 2. Between one and three months. 3. Between three and six months. 4. Between six months and one year. 5. More than one year of contact. When you have been in contact with Whites, how easy for you, in general, would you say it would have been to have avoided being with them? 1. I have had no contact. 2. I could generally have avoided these personal contacts only at great cost of difficulty. 3. I could generally have avoided these personal contacts only with considerable difficulty. 4. I could generally have avoided these personal contacts but with some inconvenience. 5. I could generally have avoided these personal contacts without any difficulty or inconvenience. If you have ever worked with Whites for personal gain (for example, for money or some other gain) what opportunities did you have (or do you have) to work at something else instead; that is, something else that was (is) acceptable to you as a job? 1. No such experience. 2. No other job available. 3. Other jobs available not at all acceptable to me. 4. Other jobs available were not quite acceptable to me. 5. Other jobs available were fully acceptable to me. 112272 96. 97. 98. 99. -16- ABS-BW-D How have you generally felt about your experiences with Whites? 1. No experience. 2. I definitely dislike it. 3. I did not like it very much. 4. I like it somewhat. 5. I definitely enjoyed it. Which of the following do you think would have the greatest effect of reducing racial prejudice? Circle only on or mark only one on the IBM answer sheet. 1. Integration of schools. 2. Publicity campaigns to promote integration. 3. Fair employment legislation. 4. Open housing legislation. 5. Direct, personal contact between members of various racial groups. How would you rate your own racial attitudes as compared to the average person? 1. Very much more prejudiced. 2. Somewhat more prejudiced. 3. About the same. 4. Somewhat less prejudiced. 5. Very much less prejudiced. To which racial group to you belong? 1. Prefer not to answer. 2. White 3. Black 4. Oriental 5. Other -17- ABS-BW-D 100. Where were you mainly reared or "brought up" in your youth (that is up to age 21)? 1. Country 2. Country town 3. City suburb 4. City 112272 rm—t—. - l8- ABS-8W4) LIFE SITUATIONS This section of the booklet deals with how people feel about several aspects of life or life situations. Please indicate how you feel about each situation by circling the answer you choose or marking on the IBM answer sheet. 101. 102. 103. 104. 105. 106. 112272 It should be possible to eliminate war once and for all 4‘me 0.0 0 strongly disagree disagree agree strongly agree Success depends to a large part on luck and fate Dri—i strongly agree disagree strongly Someday most wat-I BY strongly disagree agree strongly improving the world J-‘LONr-t strongly disagree agree strongly agree disagree of the mysteries of the world will be revealed by science disagree agree industrial and agricultural methods, poverty can be elimdnated in disagree agree With increased medical knowledge, it should be possible to lengthen the average life span to 100 years or more bump-t strongly disagree agree strongly disagree agree Someday the deserts will be converted into good farming land by the application of engineering and science war—I 0 strongly disagree agree strongly disagree agree -19- ABS-BW-U 107. Education can only help people develop their natural abilities; it cannot change people in any fundamental way 1. strongly agree 2. agree 3. disagree 4. strongly disagree 108. With hard work anyone can succeed strongly disagree disagree agree strongly agree war-I O. 109. Almost every present human problem will be solved in the future 1. strongly disagree 2. disagree 3. agree 4 strongly agree 112272 APPENDIX C SEMANTIC DIFFERENTIAL 355 j, u r SEMANTIC DIFFERENTIAL DIRECTIONS The purpose of this study is to measure the meanings of certain things to various peOple by having them judge them against a series of descriptive scales. In taking this scale, please make your judgments on the basis of what these things mean to you. On each page, you will find a different concept to be judged and beneath it a set of scales. You are to rate the concept on each of these scales in order. Here is how you are to use these scales: If you feel that the concept at the top of the page is very closely related to one end of the scale, you should place your checkmark as follows: fair X : : : : : : unfair or fair : : : : : : X unfair If you feel that the concept is quite closely related to one or the other end of the scale (but not extremely), you should place your check-mark as follows: strong : X : : : : : 'weak or strong : : : : : X : weak 356 357 If the concept seems only slightly related to one side as opposed to the other side (but is not really neutral), then you should check as follows: active : : X : : : : passive or active : : : : X : : passive The direction toward which you check, of course, depends upon which of the two ends of the scale seem most characteristic of the think you're judging. If you consider the concept to be neutral on the scale, both sides of the scale eggally associated with the concept, or if the scale is completely irrelevant, unrelated to the concept, then you should place your check-mark in the middle space: safe : : : X : : : dangerous IMPORTANT: (1) Place your checkrmarks in the middle of spaces, not on the boundaries: This Not this : : : X : X ° (2) Be sure you check every scale for every concept-- do not omit any. (3) Never put more than one check-mark on a single scale. Sometimes you may feel as though you've had the same item before on the test. This will not be the case, so do not look back and forth through the items. Do not try to remember how you checked similar items earlier in the test. Make each item a separate and independent judgment. Work at a fairly high speed through this test. Do not worry or puzzle over individual items. It is your first impressions, the immediate "feelings" about the items, that we want. On the other hand, please do not be careless, because we want your true impressions. kind thick clean cold had 358 FRIEND cruel thin dirty hot strong honest active good weak dishonest passive unpleasant small pleasant large worthless slow 0. O. O. O. O. O. I. 0. .0 CI. 0. valuable fast fair soft unfair hard cowardly sharp friendly heavy brave dull unsuccessful unfriendly light violent O. O. O. C. I. O. O. I. O. O. O. O. O. O. O. O. O. O. O. O. O. 00 I. O. O. O. O. O. O. O. O. to O. O. n O. O. O. O. O. O. O. .0 O. .0 O. O. O. O. O. O. O. O. O. O. O. O. O. O. I. .0 O. 0. O. O. O. O. O. O. O. O. O. O. O. O. O. O. .0 DO 0. O. O. 0. co 0. .0 O. O. O. O. O. O. O. O. O. O. O. O. O. O. 0. O. 0. on O. O. .0 O. 00 successful ENEMY kind a : z z x : cruel thick : y__: x z : : thin clean : _p: x 3 z 2 dirty cold : x z z 3 : hot bad x x x x 8 2 good strong : z x z 2 3 weak honest : z : x x :_> dishonest active x z z x z : passive unpleasant : s : z : : pleasant small : z z z x 2 large worthless : x : : z : valuable slow : : x : : : fast fair 2 z x z z : unfair soft : z z 8 x : hard cowardly : x z 2 x : brave sharp : 2 s z x : dull friendly : x z x z : unfriendly heavy : : a z z : -light unsuccessful : z z z : : successful violent : z z : x 3 moderate 360 BLACK PERSON kind 2 2 2 2 2 2 cruel thick 2 2 2 2 2 2 thin clean 2 2 2 2 2 2 dirty cold 2 2 2 2 2 2 hot bad 2 2 2 2 2 2 good strong 2 2 2 2 2 : weak honest 2 2 2 2 2 2 dishonest active 2 2 2 2 2 2 passive unpleasant 2 2 2 2 2 2 pleasant small 2 2 2 2 2 2 large worthless 2 2 2 2 2 2 valuable slow 2 2 2 2 2 2 fast fair 2 2 2 2 2 2 unfair soft 2 2 2 2 2 2 hard cowardly 2 2 2 2 2 2 brave sharp 2 2 2 2 2 2 dull friendly 2 2 2 2 2 2 unfriendly heavy 2 2 2 2 2 2 light unsuccessful 2 2 2 2 2 2 successful violent 2 2 2 2 2 2 moderate kind 361 WHITE PERSON cruel thick clean cold bad strong honest active unpleasant small I. O. O. O. O. O. O. O. O. .0 thin dirty hot good weak dishonest passive Apleasant large worthless slow fair soft valuable fast unfair hard cowardly sharp friendly heavy brave dull unfriendly light unsuccessful violent 00000000000000.0000. ”C.“”OO”OOOOHOOOOOOCOOOOO~OOOO”OO N”0.000000000000COOOOO“OOOQOOOOOOOOOO ”MOOOOOOOO”OOOOOOOOOOOOOCOOOOOOOOOOOO ”““”-OOOOOOOOCO“-OOOOOOOO~” 8 8 8 8 8 8 8 8 8 8 3 8 8 8 8 8 successful moderate kind 362 NEGRO PERSON cruel thick thin clean cold bad 9 O O. 0. dirty hot good strong weak honest dishonest active 0. O. O. O. O. ppassive unpleasant pleasant small large worthless slow valuable fast fair soft unfair hard cowardly brave sharp o-oeuoouoouuuuoouoooooou dull friendly heavy O. O. O. O. O. M O. O. 0. O. O. O. O. O. O. O. O. unfriendly light unsuccessful violent so 0. O. O. O. O. O. O. O. O. G. O. O. 0. O. O. O. I. O. D. O. O. O. O. O. O. O. O. O. O. I. O. O. O. O. O. O. O. O. u 0. O. O. O. O. O. O. O. O. 0. O. ‘. O. O. O. O. O. O. O. O. O. .0 O. O. O. O. O. O. 0. O. O. O. successful moderate