CRITICAL THINKING, ATTITUDES AND VALUES ASSOCIATED WITH FRATERNITY MEMBERSHIP Thesis for the Degree of Ph. D. MICHIGAN STATE UNIVERSITY CHARLES G. EBERLY 1970 III III I I IIIIIIIIIIII‘IIILIIIIIIIIIIIIIIEII L. 3 1293 This is to certify that the thesis entitled Critical Thinking, Attitudes and Values Associated with Fraternity Membershipr presented by Charles G. Eberly has been accepted towards fulfillment of the requirements for Adminis tration and Ph.D. Higher Education degree in 7' Q/W % a ' 1v // {/2 y/Ls/L’LLEZT Major professor Date May 14, 1970 0-169 LI':R.-" Y ’ls’iitl} igan :51. He University II! anox amnsnv me. I. I" LIBRARY BINDERS ”unis & sous It ._.._.._-__ , 7 ”gagglkloggooz MAN 9 @0624 ,ABSTRACT CRITICAL THINKING, ATTITUDES AND VALUES ASSOCIATED WITH FRATERNITY MEMBERSHIP By Charles G. Eberly This study examined differences in critical thinking, attitudes and values among four groups of Michigan State University male students defined by degree of association with social fraternities. The groups (N = #6 each) were (1) Greeks: men who joined and remained in fraternities, (2) Dropouts: men who joined and later dropped out of fraternities, (3) Pledgeouts: men who pledged but never formally joined fraternities, and (H) Stayouts: men who never formally associated with fraternities. The entire population of H77 students with complete records were separated into four classifications. All groups except one, where all subjects in the classification were used, were randomly selected from the classifications. Subjects were students who entered as freshmen in fall, 1958, and were in attendance during each fall, winter, and spring term through spring, 1962. Groups were compared at three points in time:(l) at the beginning of the freshnan.year, (2) at the end of the freshman year, and (3) at the end of the senior year. Instruments used in the study were The College_Qualification Test, The MSU Reading Test, A Test of Charles G. Eberly Critical 'I'hinidng, Form G, The Inventory of Beliefs , Rokeach' s Dogmatism Scale , The Differential Values Inventog, and The Senior- Year Experience Inventory. Cognitive instruments were administered only at the beginning of the freshman year. Affective instruments were administered at all three points in time. The Senior-Year Experience Inventory was administered at the end of the senior year . A test score profile analysis technique using analysis of variance as the statistical tool was the principal means for determining significance of difference in test score profile and level among groups . Kendall' s Coefficient of Concordance and chi-square tests were used where analysis of variance was not applicable. In all computations the . 05 level of confidence was used to determine statistical significance . At entrance to college there was no simple statistical difference in test score profile or level anong the groups on scores from the six published instruments . However, considering only the three instruments used in the longitudinal study , the Inventory of Beliefs, A Test of Critical Thinking, and The Differential Values Inventory, Greeks were statistically different in test score level but not profile from Stayouts at all three times . The additional data considered in the first analysis may have resulted in a Type II statistical error. Greeks were lower on critical thinking scores and higher on measures of stereotypy and other-directedness than Stayouts . These results appear to demonstrate yet another instance where input determines output . The variability of the groups around test score means was similar for all three points in time. For all groups , senior scores on the Dggnatism Scale were more Charles G. Eberly homogeneous than freshman scores. Specific aspects of University experience reinforcing or modifying original attitudes and beliefs could generally be placed in two categories: (I) fandliar or specialized activities could be called reinforcing, and (2) unfamiliar or general education activities were generally modifying. All groups except Stayouts, who chose the vocational type, were most likely to choose the non-conformist type of the ClarkrTrow student typologies. However, of those students choosing the collegiate typology, two-thirds were Greeks. The attractiveness of the noneconfOrmist typological description used in this researCh may have influenced the direction of student responses. CRITICAL THINKING, ATTITUDES AND VALUES ASSOCIATED WITH FRATERNITY MEMBERSHIP By Charles G . Eberly A THESIS Submitted to Michigan State University in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY Department of Administration and Higher Education 1970 ACKNOWLEDGEMENTS Sincere appreciation is expressed to Dr. Eldon Nonnamaker, Dr. Andrew Porter, and Dr. James McKee for their helpful cooperation as members of the guidance committee. Inspiriting assistance was offered at all stages of this study by Dr. w. Harold Grant who served as Chairman of the guidance committee. Dr. Grant's freSh insight into the human meanings of numerical data was especially helpful. Special thanks must be directed to the staff of the Office of Evaluation Services of Michigan State University; to Dr. Irvin Lehmann, who released the data, to Dr. Willard warrington, who released the time to complete the study, and Dr. LeRoy Olson, who offered many critical suggestions. Many other people should be mentioned, including Dr. Ernest Thedinga and Dr. Eugene Cech of Wisconsin State University-Oshkosh, who first encouraged me toward doctoral study. To my wife, Sharon, and to my daughters, Mary and Judith, I give my thanks for being so patient with an absent husband and father. ii ACKNOWLEDGEMENTS ............... . . LIST OF TABLES . . . . . . . . . . . . . . . . . . TABLE OF CONTENTS LIST OF ILLUSTRATIONS ............ . . . . ...... Chapter 1. INTRODUCTION . . . .................... Spheres of Influence . . . . . . ....... . . . . . Statement 0f'the Problem, . . . . . . . . . . . . . . List of Characteristics Investigated. . . ........ . Hymthe S e S O O C O O O O I O O I O O I O O O O O O O O O O O Ifinfitations of the Study. . . . ....... . . . 3. Importance of the Study . . . . . . . . . . . . Sunnen37.. . . . . . . . . . . . . . . . . . RELATED RESEARCH. . ........... . . . . . Research on the College Fraternity. . . . Investigations of Impact. . . . . . . . . . Longitudinal Studies. . . . . . . . . . . Residential Impact. . . . . . . . . . . . fhnnnxny . . . . . . . . . . . . ...... METHODOLOGY .............. . . Definition of the Population. . . . . . . Geller‘al izab H {W O O O C O O O O O 0 O O O O Instrumentation . . . . . . . . . . . . . ' Research Design . . . . . ..... . . . Statistical HyPo'thes'es. . . ....... ' Data ColleCtion . . . . . ...... . . ‘Analysis of Data. . . . ......... Scale ”Development . ........... DefinitiOns . . . . . . . . . . . . . . . Additional Item.Groups. . . ....... Student'Typologies. . . . . . ...... Summary . . . . . . . . . . . . . ..... O O ...... O O O O ...... O O O O ...... O O O ..... ........ O ....... ........ O O O O O O O O O O G ........ O O O O H l—‘OQUlU'I-PM F‘F’ 12 1H 19 2M 29 32 32 3M 35 39 to us an 1+7 as 55 55 55 Chapter Page u. ANALXSIS OF DATA . ..................... 57 Published Instruments .................... 57 HyPOthesis l ................... . . . . 58 ‘flypOthesis 2 . . . . . . . . . . . . . .......... 60 HypothesesTS’and H ....... . . ..... . ..... 63 HypotheSis S . . . . . ..... . ........ . . . . 69 'Hypothesis‘g . . . . . . . . . . . ............ 71 ‘flypothesisi7. . ....... . ......... 76 Senior—Year Experience Inventory. . ............ 78 Hypothesis 8 . . . . .». . ..... . . . . . . . . . . . 78 "' . . . . . . . . . . . . . . . . . . . . 81 . . . . . . . . . . . . . . . ..... 82 ‘Student Typologies . . . . . . ............ . . 89 Summary. . . . . . . . . . . . . . . . ......... . . 93 5. SUMMARY, DISCUSSION AND CONCLUSIONS ............. 9H Purpose and Procedure. . . . . . . . . . . . ....... 9H ’Find‘“ 3 . . . . . . . . . . . . . . . . . . . . . . . . . 95 DiscuSSion and Conclusions . ...... . ...... . . . 100 Ldnfitations. . . . . . . . . . . . . . . . . . . . . . . . . 103 Suggestions fOr Phrther ResearCh . . . . . . . . . . . . . . 108 BIBLIOGRAPHY. . . . . . . . . . . . . . . . . . . . . ....... 106 APPENDIX. . . . . . . . . . . . . . . . . . . . . . . ..... . . 111 A. SenioreYear Experience Inventory . . . . . . . . . . . . . . 111 B. Senior-Year EXperience Inventory Scales With Low Reliability 123 C. Senior—Year’Experience Inventory Factor Analyses . . . . . . 127 D. Item.weights Fbr SenioreYear Experience Inventory Scales . . 137 iv Table 3.1 4.1 4.2 4.3 4.4 4.5 4.6 4.7 4.8 4.9 4.10 4.11 4.12 4.13 4.14 4.15 4.16 4.17 4.18 LIST OF TABLES Page Year and Term.of First.Association With Fraternities for Greeks, Dropouts, and Pledgeouts . . . . . 34 Variance Analysis for Hypothesis 1. . . . . . . . . . . . . 58 Pest-HCC Contrasts: Hypothesis 1 Variance Analysis . . . . 59 Variance Analysis for Hypothesis 2. . . . . . . . . . . . . 61 PoSt-HOC Contrasts: Hypothesis 2 Variance Analysis. . . . . 62 Variance Analysis for Hypotheses 3 and 4. . . . . . . . . . 63 Post-Bee Contrasts: Hypotheses 3 and 4 Variance Analysis. . 65 Dogmatism Variance Analysis . . . . . . . . . . . . . . . . 68 Hypothesis 5 Variance Analysis. . . . . . . . . . . . . . . 69 Estimates of the Interaction Parameters: Hypothesis 5 Analysis . . . . . . . . . . . . . . . . . . . 7O Levene Variance Analysis, Fall, 1958. . . . . . . . . . . . 72 Levene Variance Analysis, Spring, 1959. . . . . . . . . . . 75 Levene Variance Analysis, Spring, 1962 ..... . ..... 75 Levene Variance Analysis, Hypothesis 7. . . . . ...... 77 Levene Dogmatism.Dispersion.Analysis . . . . . . . . . . . 78 Rave Scales Variance Analysis . . . . . . ........ . 79 PbSt-HOC Contrasts: SRI Rave Analysis . .......... 8O Levene Variance Analysis: SRI Scales. . . . . . . . . . . . 81 Self-Perceived Impact of Various Courses on Attitudes and Values . . . . . . . . . . . . . . . . . . 83 Table 4.19 4.20 4.21 4.22 4.23 4.24 4.25 Page Self-Perceived Impact of Various Instructors on Attitudes and Values . . . . . . . . . . . . . . . . . . 84 Self-Perceived Impact of Peers on Attitudes and Values. . . 86 Self-Perceived Impact of Student Organizations on Attitudes and Values. . . . . . . . . . . . . . . . . . . . 87 Self-Perceived Impact of Student Activities on Attitudes and Values. . . . . . . . . . . ..... . . . . 87 Self-Perceived Impact of University Facilities on Attitudes and Values . . . . . . . . . . . . . . . . . . 89 Self-Perceived Impact of Other Influences on Attitudes and Values. . . . . . . . . . . . . . . . . . . . 89 Self-Perceived Typology Changes fawn Freshman to Senior Year . . . . . . . . . . . . . ..... 91 vi LIST OF ILLUSTRATIONS Illustration 3.1 ResearchDesigns........... 4.1 Group Mean Score Profile, Spring, 1959 . ....... 4.2 DognatismMean Score Profile . . . . . . 4.3 Test Dispersions Common to All Times . . vii Page 40 62 68 73 CHAPTER 1 INTRODUCTION The first sentence of Baird's Manual of American College Fraternities states: "The American college fraternity is an American institution and the chapter in the form.it ideally exists on the college campus is a miniature of the larger American democracy" (Robson, 1963). Since its founding in 1776, the American college fraternity system.has continued to assert that it is a character-building institution supportive of the ideals of the American democracy and the educational objectives of higher education . Authors in fraternity publications never tire of pointing with pride to the large numbers of fraternity alumni serving the country in high governmental , business and educational offices . Such men, their accaiplishnents and their personal endorsements , are displayed as justification by fraternity leaders to demonstrate the personality- rounding developmental opportunities to be found in the college fraternity experience. The following statements by Mike Mansfield, Majority Leader of the united States Senate, and Mark O. Hatfield, Senator from.Oregon, are examples (NIC, 1959): When men live and work together in a fraternal association in college they enhance each other ' 5 growth and each other ' s . capacity to contribute to the larger fraternities of communrty , state, nation and world. Fraternity life inspires intellectual development , spiritual and ethical points of view. This kind of brotherhood molds and gentles its young members and challenges them through self- government, courtesy, group living and character. 1 2 Such statements implicitly accept the hypothesis, not proved, that men who join college fraternities develop in societally sanctioned ways as a result of their fraternity experience which remain undeveloped or are at best poorly developed in men who do not join fraternities. It is an accepted fact that students who join fraternities are already diff- erent from other students via processes of fraternity group selection and individual self-selection. Since those who join may be differentially characterized, the question arises whether the "personality—rounding" development claimed by fraternity advocates might be more a result of the prior development of the men themselves than a product of their experiences. It would be interesting and valuable to analyze data which might shed light on aspects of personality development-habits of thought, attitudes, values and beliefs-of a group of fraternity men as they have progressed through college. This information could then be compared and contrasted with similar data from a group of nonefraternity classmates. Such a comparison.might suggest areas in which the fraternity experience may indeed differentially affect student developmental growth. Spheres of Influence The significance of this problemlto the greater society is clear. It would appear that fraternity members are disproportionately represented, according to their number in the general pOpulation, in organizations which may critically affect the lives of all citizens. An obvious example is the individuals who comprise the membership of the United States Congress. Over 30 per cent of Representatives and 65 per cent of Senators in the 89th, 90th, and 918t Congresses were fraternity members, but little more than one per cent of the American population are college fraternity or sorority members (Lurding, 1965; Howe, 1967; Howe, 1969). 3 Research data available on the long termlstability of attitudes and values suggest that they are maintained much as they were upon leaving college (Feldman.and Newcomb, 1969, pp. 313-317). It would seem.important to know whether attitudes, values and beliefs may be differentially affected by the fraternity experience, since the men.Who carry those attitudes, values and beliefs apparently are likely to become participants in principal decisionemaking circles of our society. A case in point is our federal government. In 1964, the 89th Congress passed the landmark Civil Rights Act. When a controversy regarding discrimination in his StanfOId.University chapter of Sigma Chi arose, Senator Lee Metcalf, Montana, requested the opinion of Commnssioner of Education Francis Keppel about distribution of federal funds to institutions harboring fraternities practicing ge_facto discrimination (Blackwell, 1966, pp. 53-54). Keppel's opinion stated the institution.was responsible for assuring that fraternities did not discriminate. His opinion implied that noncomplying institutions might lose federal support. While a complex of events undoubtedly was involved, the 1965 Higher Education Act contained the f0110wing amendment originally introduced by Representative Joe waggoner, Kappa Sigma, Lousiana (Blackwell, 1966, p. 54): Nothing in the act or any other act Shall be construed to authorize any department...or employee of the United States to exercise direction, supervision or control over...the memberShip practices or internal operations of any fraternal organization, fraternity, sorority, private club, or religious organization of any institution of higher education whose facilities are not owned by the institution of higher education and whose activities are financed by funds derived from.private sources. Such an amendment, now the "law of the land," has implications far beyond the limited sphere of college fraternities and sororities. It is interesting u to note that the amendment also covers such organizations as the Weather— men of Students for a Democratic Society. Regardless of the potential later influence of fraternity meme bers in American society, fraternities are a prominent campus peer group organization affecting the thrust of student life (Clark and Trow, 1966, pp. 20-38). The fraternity should be understood simply because it is a mediating fOrce between a student and his formal education. Few studies have surveyed personality-associated attitudes, values and beliefs of fraternity members, let alone considered changes in such attitudes, values and beliefs which may be related to fraternity membership. Statement of the Problem The problem.investigated in this research was the relationship between fraternity membership and changes in aspects of "personality"-- habits of thought, attitudes, values and beliefs--during four years of undergraduate study at Michigan State University. It was the purpose of this study to determine if there were differential changes in the pattern of stereotypy, beliefs, attitudes and values between fraternity and nonefraternity students. Data were available from the Office of Evaluation Services which enabled a study of developmental change associated with fraternity member— ship to be performed. Data collected by Lehmann and Dressel for their reports, Critical Thinking, Attitudes and Values In Higher Education (1962), and Changes In Critical Thinking, Attitudes and Values Associated With College Attendance (1963), have never been analyzed according to fraternitybnon-fraternity'membership. The Lehmann-Dressel data presented a unique opportunity to study the organizational relationship of fraternity 5 membership on factors related to personality development. List of Characteristics Investigated Characteristics investigated in this study included the follow- ing: critical thinking, stereotypy, dogmatism, value orientation, academic aptitude, educational orientation, and self-perceived changes in educa- tional typology, interpersonal, social, political, economic and religious attitudes and values. In addition, selected social, economic, political and religious attitudes at the time of exit from college were surveyed. With the exception of an inventory constructed for the study, data were collected by means of published instruments which will be described in detail in Chapter 3. Pre-test data were collected using: 1. The College Qualification Test, (The Psychological Corporation). 2. The MSU Reading Test, (Michigan State University). Pre-test and post-test data.were collected using: 3. The Test of Critical Thinking, Fbrm.G, (The American Council on Education). 4. The Inventory of Beliefs, Form.I, (The American Council on Education). 5. Rokeach's Dogmatism Scale, Form.E, (Milton Rokeach, Michigan State Universityi. 6. The Differential Values Inventogy, (Richard Prince, The University of ChicagO). Pest-test data only were collected using: 7. The Senior—Year Experience Inventory (Michigan State University). Hypotheses As the review of literature in Chapter 2 indicates, there are relatively few longitudinal studies comparing fraternity and non-frater— nity students on changes in personality variables. Even those studies available do not provide consistent evidence about change in one direction on dimensions of personality. 6 Since the hypotheses stated below were not based on any particular personality theory which would suggest directionality of results, and existing research is contradictory or ambiguous , the hypoth- eses were stated in the classical, nondirectional null form. Specifically, this study tested the following hypotheses: 1. Upon initial enrollment in college, there is no difference on selected cognitive and affective variables among individuals who eventually join and remain in fraternities, join and later drop out of fraternities , pledge and never formally join fraternities , and never formally associate with frater- nities . One year after initial enrollment in college , there is no difference on selected affective variables among individuals who eventually join and remain in fraternities, join and later drop out of fraternities , pledge but never formally join fraternities , and never formally associate with fraternities . One year after initial enrollment in college, there is no difference in degree and direction of change over time on selected affective variables among individuals who eventually 'join and remain in fraternities, join and later drop out of fraternities , pledge but never formally associate with fraternities , and never formally associate with fraternities . Four years after initial enrollment in college , there is no difference in degree and direction of change over time on selected affective variables among individuals who eventually joined and remained in fraternities , joined and later dropped out of fraternities , pledged but never formally associated with fraternities , and never formally associated with fraternities. Four years after initial enrollment in college , there is no difference on selected affective variables among individuals who eventually joined and remained in fraternities , joined and later dropped out of fraternities , pledged but never formally associated with fraternities , and never formally associated with fraternities . There is no difference in the dispersion of test scores among individuals who eventually join and remain in fraternities , join and later drop out of fraternities , pledge but never formally associate with fraternities , and never formally associate with fraternities (1) upon initial entrance in college, (2) one year after initial enrollment 7 in college, and (3) four years after initial enrollment in college. 7. There is no difference in the dispersion of test scores over time within groups (1) one year after initial enrollment in college, and (2) four years after initial enrollment in college. 8. Four years after initial enrollment in college, there is no difference in degree and direction of self-reported change , or in attitudes and values among indivfduals who eventually joined and remained in fraternities , joined and later dropped out of fraternities , pledged but never formally associated with fraternities , and never formally associated with fraternities . 9. Four years after initial enrollment in college, there is no difference in the dispersion of self-reported change, or in dispersion of attitudes and values , among individuals who eventually joined and remained in fraternities , joined and later dropped out of fraternities , pledged but never formally associated with fraternities , and never formally associated with fraternities. Limitations of the Study The present study had many of the limitations of longitudinal studies dealing with measured change over time. While it is important to consider these limitations in drawing inferences from the findings , the lack of research in the area and the availability of sound data from which such a longitudinal study could be formulated would appear to be enough to overcome the reservations discussed below. The first limitation concerned the sample of responses available for analysis. The group size (N = 46/ group) was dictated by the total number of students meeting the criteria for inclusion in one of the groups under study. Furthermore, subjects were available only from a sample of Students who had completed four years of undergraduate education at Michigan State University and who had left a complete data record behind 1Zhem. Data were not available for other graduates or for students who ‘ 8 dropped out of school sometime during the four years of the original study, 1958-1962. However, Lehmann and Dressel stated that original fall, 1958, test scores of those students completing their study were not significantly different from original test scores of students who, in effect, dropped out of their study. They draw the conclusion that their results are thus generalizable to the entire original sample of students entering Michigan State University in fall, 1958 (Lehmann and Dressel, 1963, pp. 37-38). Since subjects fOr the present study were randomly drawn from the males comprising Lehmann and Dressel's data (except fOr the limiting group), it may be reasonable to justify this study, too, as generalizable to the entire 1958 entering class at Midhigan State university. However, it was recognized that while this assumption may be tenable fOr both studies, knowing that original test scores for respondents and nonrrespondents are not significantly differ— ent does not imply that if post-test scores were available for non- respondents they would not be differential from.post-test scores of respondents. This would seem to suggest that at best the results of this study are generalizable to a single Midhigan State University class group who attended the university during the early part of this decade. At worst the results are generalizable to a group of students who graduated from.the University during a given time period, and who left a complete data record behind them. A second limitation has been alluded to above. Conclusions drawn from data collected from 1958 to 1962 may have little or no relation to the present-day situation. However, there is strong reason to assert that in view of the rapid change of our campus and society, periodic studies of campus groups are warranted in order to ascertain where changes have occured (Lozoff, 1968, Ch. 7). A third limitation has to do with the size of the groups studied. Differences across the fraternity and non-fraternity groups, if any, may be discussed, but the more important differences may indeed be within the particular types of groups in.which a student has his associations. It was recognized that mean differences across fraternities may mask unique differences within individual chapters. The qualitative categories differentiating the various groups were a feurth limitation. It was not known how much relative exposure in actual time spent any of the groups had.with fraternity experiences. It was only assumed that some had more than others based on students' self- reports and available data. .A fifth limitation to be considered.was the measures of personality used in the study. These measures were used to describe such personality traits as stereotypy, dogmatism, values and beliefs. One needs to know if the instruments were sufficiently valid, reliable and stable for the sample at hand. Furthermore, was there indication that the instruments measured the same phenomena at one time as at another? Since such instruments asked each respondent to indicate his opinions or feelings, was the respondent honest when he answered the items? Finally, for extreme scorers, was the change registered from one time to another a "true" Change, or was much of it a.result of the now well known regression effect? Some of these questions are considered in Chapter III. For others there is no way of knowing the "true" answer, and one may only resort to the argument that they are limitations common to many studies of the type carried out here. 10 Importance of the Study The importance of this study lies in its consideration of the relationship of fraternity membership to certain educationally desirable outcomes, i.e., openness to change, flexibility, and critical thinking ability. More needs to be known about the impacts of environments and associations to which students let themselves be exposed. If peer group influence is a significant factor in student development, it is important to know the relationship that a historically powerful and visibly prominent peer group--the college fraternity--has on student development. Knowledge of such relationships can potentially assist educators to make advantageous use of peer groups in directions congruent with educational objectives. Finally, while the "future of fraternities" has apparently always been "in doubt" according to many critics and some proponents, today on large multiversity campuses like Michigan State university, the question of their immediate future may be far more pertinent than it has been in previous years. If social fraternities do have an observable impact related to desired educational outcomes, information about that impact and its direction should be available to those agencies of the University responsible for student development. This study, viewed in perspective with previous fraternity studies on this campus and with studies now in progress on present undergraduate students, can help provide such information for fraternities at Michigan State University. 11 SUMMARY The purpose of this study was to describe differences, if any, among fraternity and non-fraternity groups on selected psychological variables and attributes of personality at the beginning, at the end of one year, and at the end of four years of undergraduate study at Michigan State University. CHAPTER 2 RELATED RESEARCH This study dealt with (1) the college social fraternity and (2) its relationship to change on selected personality variables after four years of undergraduate study. As Feldman and Newcomb stated in their excellent review, The- Impact of College On Students (1969, p. 222) there are relatively few longitudinal studies treating the interrelationship of students'group or residential arrangements and change in personality dimensions. For the purpose of this study an examination of available literature was required to determine the impact of the college social fraternity and the influence of residential or group association on individual personality develOpment in college. Research on the College Fraternity_‘ Fraternity research has focused primarily on academic potential and achievement, and less often on personal and social attributes of fraternity versus non-fraternity students. Most research has been of a cross-sectional or survey nature done at one point in time. In his review of such literature, Eberly (1965, pp. 38-41), reported that sufficient work had been completed in order to describe "typical" fraternity members as pledges and members as coming from.a wealthy, urban, Protestant, Republican background and with an anti-intellectual, social orientation toward higher education. Surveys reported since Eberly's review lend some 12 13 support to his description. At the University of Vermont in 1964 (p. 31) fraternity members were more likely to be urban and wealthy , but they also had slightly higher grade averages and more often planned to attend graduate school. Higher grade averages , however, may be related to academic require- ments for pledging fraternities. At Florida State University in 1965 (Widmar, p. 315) males planning to join fraternities did not differ from other males in family characteristics, but more often planned to participate in extracurricular activities and to attend graduate school . At the Uni- versity of Wisconsin there were no differences found among the 19 64 Fresh- man men who rushed and pledged, rushed and did not pledge, or did not rush on scales of conservatism,po]_itj‘_cal liberalism, or authoritarianism. However, freshmen who pledged did appear less religious than non-pledges (Bohrnstedt, 1969) . In this study the two sociological variables that correlated most highly with whether a student pledged a fraternity were whether he was Jewish and wealthy (Bohrnstedt, 1966, pp. 144-145). Apparently differences between fraternity and non-fraternity students are stable enough that a paper-and—pencil instrument can differentiate between them successfully. At least at the University of North Dakota, North Dakota State University and Kansas State University, differences in selected attitudes between those who joined fraternities and those who did not were such that a 36-item personality inventory type scale differentiated fraternity from Ion-fraternity males with "an 84 per cent correct classification rate. . ." using the discriminate analysis technique (Stone , Skurdal, and Skeen, 1968) . 1n Investigations of Impact Surveys may point to initial differences in students who join fraternities, but they can only allude indirectly or not at all to the impact of fraternities themselves. Longitudinal designs are far better suited to search for such effects, but there are few longitudinal studies which treat developmental change in the same group of students (Feldman and Newcomb, 1969, p. 222). Some effects on personality-related variables the fraternity.may have had on the individual as he progressed through college have been investigated. One means of inferring impact or change from a survey is to administer it cross-sectionally to groups at different stages of develop- ment. The underlying assumption is that all groups, regardless of when they started, began at the same point and are making the same relative changes on the attribute(s) under investigation. Such an assumption is often without support. Some cross-sectional research reviewed by Newcomb and Feldman (1969, p. 211) indicated an increase in initial differences between fraternity and non-fraternity students with year in school toward greater political and economic conservatism.among "greeks" than independents. HOwever, not all studies showed initial difference or increasing change among fraternity and non-fraternity groups, and a few studies showed convergence. Variables measured by these were "authoritarianism" (Plant, 1966, no difference), "ethnocentrism? (Lozoff, 1967, no change), and "libertarianismv (Selvin and Hagstrom, 1960, convergence). A recent study using the cross—sectional approach ended with the statement "...that a college student develops an enhanced self-concept and greater self-acceptance and reaches toward higher goals during his 15 affiliation with a fraternity'group on the campus." Hountras and Pederson administered the Bills Index of Adjustment and Values to fOur'groups of 2H randomly selected students: (1) fraternity freshmen pledges, (2) residence hall freshmen, (3) fraternity seniors, and (u) residence hall seniors. Using twoaway analysis of variance and Dunn's 9 test where significant E ratios were found, they reported no difference between the freshmen groups, and no difference between residence hall freshmen and seniors on the instrument's three scales: Selfeconcept, Acceptance of Self, and Ideal Selfeconcept. Fraternity seniors did have a significantly higher Self- concept and Ideal Self-Concept than fraternity freshmen, and they were also significantly higher on all three scales than residence hall seniors. How- ever, these results may have been "programmed" into the study by the very fact of selecting senior residence hall students. At Stanford, Lozoff (1968, pp. 302-310) reported that fOur-year residence hall seniors indicated least change in themsleves, were least socially confident and needed help "...in gaining respect fOr themselves as persons," in comparison to fraternity, offecampus, and "eating club" students. She also reported that many students left the dormitories as soon as possible (1968, p. 258). If Lozoff's results may also be applied to students at the University of North Dakota, self-selection of students out of residence halls would leave, at the end of fOur years, only those comfortable with what can be called "...the most dependent and institutionalized.fbrm.of undergraduate living..." (Lozoff, 1968, p. 298). Such a group surely does not represent all students not members of fraternities. This clearly limits the global statement with.which HOuntras and Pederson end their report. A more appropriate statement would be that after four years, in comparison to student development in residence halls at the University of North Dakota, 16 student development in fraternities appears to promote an enhanced self-concept and greater selféacceptance. TWO cross-sectional studies have employed "The Decalog of Fraternity Policy," an official statement of fraternity objectives under— written by all member fraternities of the National Interfraternity Conference, as a criterion against which to assess the success (impact) of the college fraternity. At The Pennsylvania State University, Wise (1963, p. 11) compared the responses of 75 SOphomore and senior fraternity nembers, and 75 sophomore and senior residence hall students never formally associated with fraternities, in six areas. He hypothesized that if fraternities achieved their stated goals, seniors should score higher than sophomores on measures of social usage, knowledge of cultural material, social behavior, loyalty to the university, scholarship, and civic responsibility. He concluded that fraternities had a positive influence on university loyalty, a negative influence on scholarship, and no differentiating influence on attitudes about conduct situations, knowledge of cultural material, and civic responsibility (Wise, 1963, pp. 119-125). Since Wise computed over 100 t—tests to determine significant differences between pairs of means, it was not possible to tell which differences were really significant and which.were not. On the average, five of his "significant differences" were significant by chance alone. At Midhigan State University, Henderson (1958) asked 332 fraterb nity-affiliated graduates of three classes, 19u0-u1, 1950-51, and 1955-56, to report on a locally developed 86-item questionnaire what they perceived as the impacts of their college fraternity experience. Responses were analyzed by year of graduation and degree of involvement in Chapter operation ("major office holders, minor office holders, and non-office l7 holders") using Chi Square test of independence (Henderson, 1958, pp. 38- 41). General areas based on Decalog statements Henderson selected to assess were (1) personal health practices, (2) cultural interests, (3) religious activities, (4) citizenship participation, and (5) loyalty to the University. Henderson's data suggested fraternity alumni did maintain a regular recreational and personal health program and they were slightly more loyal to the university than to their fraternity as measured by such items as amount of financial support and attendance at alumni functions. There appeared to be no relationship between Decalog goals and alumni behavior in the areas of cultural interests, religious participation (other than Churdh attendance), and little manifestation of civic responsibilities other than voting in elections (Henderson, 1958, pp. 123-126). Answers of only five alumni indicated they knew the content of "The Decalog of Fraternity Policy." Conclusions inferring impact of fraternities from.this study would be hazardous at best since there was no comparison group of non- fraternity graduates, and well over 100 individual Chi Square statistics were computed. It was again not possible to tell Which data were significant since on the average five of Henderson's comparisons were significant by Chance alone. Lehmann and Dressel's fOur—year study of student development at Midhigan State University (1962, pp. 189—218) used a cross-sectional approach to some aspects of institutional impact. At the end of the senior year all students were asked to indicate the relative impact of a set of courses, events, activities, and personal experiences considered a part of college life. At the end of the freshman, SOphomore and junior years, random samples of students from.the study population were asked similar 18 questions. Freshman students (N = 253) ranked fraternities 11.5 out of 20 experiences; sophomores (N:= 197) ranked fraternities third, juniors (N = 291) fifth, and seniors (N = 590) fourth_r_i; set of item response weights are assigned. After computation, the final weights determined yield the maximum possible internal consistency as measured by the Hoyt analysis of variance. Final assigned weights are very informative. An item not relating to the scale will receive equal weights for all responses. Items with a high discriminating ability will receive weights with the largest range of response values . 46 Kendall's Coefficient of Concordance.--Kendall's Coefficient of Concordance is a means by which the degree of agreement across several groups of judges may be determined on items which are ranked according to their value or importance (Hays, 1968, pp. 656-658). The statistic is closely associated with the average pair-wise correlations among the several rank orderings . If there is low agreement, sums of ranks across items ordered are about the same. If high agreement exists, sums of ranks are very different. The SRI included a series of items which asked students to indicate what "courses , personnel , activities , and organiza— tions" had either strengthened or modified beliefs held upon entrance to college. These data were grouped and ranked, and the Coefficient of Concordance applied to assess degree of agreement within the groups of interest. Hay's Omega Squared.--'I\«o possible explanations exist if Kendall's Concordance is low. There may be low agreement among groups, or, there may be low agreement among individuals within groups such that many ranks are tied. Hay's Omega Squared is a means of estimating the strength of a statistical relation between an independent and dependent variable , such as items (independent variable) and responses to items (dependent variable) (Hays, 1963, pp. 381—385). Where the Kendall Coefficient of Concordance was low, Omega Squareds were calculated for each of the four groups in order to learn if the reason for low concordance was the result of low agreement among groups , or within individuals in groups . A low Omega Squared value was indication that low concordance was more a function of low agreement of individuals w_____it_1_n_i_n_ groups than low agreement between groups . Chi-Square.--Scme data obtained from the SRI were not amenable 47 to analysis either by reciprocal averages or by Kendall's Coefficient of Concordance. These were descriptive items of a dichotomous nature considering choice among the Clark-Trow student typologies . These items were individually treated by use of the chi—square goodness of fit statistic (Hays, 1963, pp. 589-592). Scale Development Lehmann and Dressel' s Senior-Year Experience Inventory consisted of 263 items grouped into 20 parts or sections (Appendix A). They did not scale the instrument, but preferred instead to use Chi Square and analyze similarity of group responses to individual items (Lehmann and Dressel, 1963, p. 31). Their method was acceptable for an exploratory study as a means of locating differences among groups which might merit further study. While the present research was also exploratory, limitations of Lemarm and Dressel' 5 method for it were (1) that assumptions for use of the Chi Square statistic would not be met in many cases due to the number of item keys in relation to individual group size, and (2) the sheer number of statistics to be computed did not seem the most efficient means of treating the data. Instead, items within parts were grouped into scales where parts themselves appeared upon inspection to have more than one underly- ing variable among items. All items in six parts (I, II, IV, VII, XV, and XVII) appeared to form single scales and were treated as such. Items in five parts (III, V, VIII, IX, X) were grouped into scales on the basis of a content analysis. Factor analyses were then performed on each part as a check on the content analysis. Scales were adjusted accordingly. Items in the remaining parts of the SRI were of an informational or demographic nature which were not scalable. 48 Factor analyses of the several parts were considered advisable because a major assumption of the reciprocal averages scaling technique applied to the data was that all items in a given scale were assumed to have a single variable underlying them (White and Porter, 1968) . While the content analysis was an attempt to objectively group items into logical categories, it still seemed that factor analysis would add additional rigor and objectivity to the selection of items for scales . Names and definitions were assigned each scale, with an interpretation given for a high and low score. _A_ m weights were then attached to each item key based on the directionality of the item in relation to other items in its scale. The reciprocal averages program (RAVE) was then applied to the a priori weighted scales using the CDC 3600 computer. In order to avoid the problem of sampling fluctuation in computation of scale weights used for the final profile analysis, the entire population of 477 data records on the SRI were used. The Hoyt analysis of variance approach to reliability, analogous to Kuder—Richardson' 3 Reliability 20 formula for internal consistency, was computed by RAVE for each scale (Hoyt, 1967, p. 111). Scales attaining a reliability coefficient which rounded to . 5 or higher were included _a_ pr;i_o_r_i_ in the final profile analysis on the groups of interest to this study. This implied that at the minimum approximately 50 per cent of common variance was explained by responses to the scale items , and up to 50 per cent of common variance was due to measurement error. 49 Definitions Definitions of 16 scales meeting the criteria are listed below. Definitions of 13 scales not meeting the criteria are listed in Appendix EL RAVE operations were performed on a total of 36 scales. Academic Satisfaction.--All six items of Part II appeared to measure a single underlying variable. A.student responded to statements about his academic experiences in college on a four—response item key from strongly agree to strongly disagree. High scores reflected high academic interest and enthusiasm. Low scores reflected general dissatisfac— tion with college academic experiences. Hoyt reliability of this scale was .52. Scores could range from.8 to 24. Anti-Communism.--Part III appeared to contain items with several underlying variables. Items 12, l3, 14, 21, and 22 were designed to obtain opinions on a five-response item key from strongly agree to strongly disagree about the threat of communist influence. Should known communists be in the country or on the campus; how free were faculty to subscribe to or teadh a specific ideology? High scores indicated an anti-communist viewpoint; low scores indicated a politically liberal view- point. The theoretical score range was from 5 to 24. Hoyt reliability on this scale for seniors answering as seniors was .69. Students were also to react to this scale as they thought they would have as entering freshmen. Since it was considered that present reactions would likely be more reliable than perceptions of past reactions, final scale weights assigned to senior responses were used to compute freshman scale scores for use in the profile analysis of scale score data. Perception of freshman opinions were fOund about as reliable as senior responses when computations were performed (rt = .65), but weights assigned to items t 50 were differential . Other scales formed from items in Part III were below the criterion level of reliability and were listed in Appendix B- Anticigated Community Activity. «Part IV contained nine items . Students were asked how active a role they anticipated playing in nine categories of civic activities after graduation using a five-response item key from "very active" to "none". A high score meant the individual planned high involverent in community affairs , while a low score indicated little or no involvement was anticipated at this time . Scores could range from 12 to 43. Hoyt reliability was .65. Student-Centered Teachers .--Part V contained fifteen items about student perception of good college teachers. Seven items (41, 42 , 43, 44, 46, 51, and 52) asked students to rate the degree to which a good college teacher was student—centered in his teaching on a four position scale from strongly agree to strongly diSagree. A high score indicated a good teacher will "give and take" with students in considering course objectives, student problems and achievement. A low score indicated that a good teacher will give students little choice in course direction and will be neutral if not aloof toward student contact out of class . The theoretical score range was from 8 to 26. Hoyt reliability was .50. Teacher-Community Involvement.--Three items (30, 40 and 45) asked students to rate the good college teacher as an active participant in areas outside his discipline (academic role). A high score on this scale indicated the good college teacher should be active in civic, campus and religious affairs . A low score reflected the opinion that he should not be so involved. Scores could range from 3 to 12. Hoyt reliability was .64. The remaining items in Part V did not form reliable scales. 51 Part VI requested written responses and was not scalable. Religious Concepts.--Part VIII (Items 55 to 60) consisted of six religious concepts: The Bible, Prayer, Man, God, Sin, and Eternity. Students were instructed to attaCh one of seven definitions to the concepts, which ranged from.strongly fundamentalist to very liberal in interpretation. The higher the score the more fundamentalist were the definitions assigned the concepts. Scores could range from.9 to 41. HOyt reliability for this scale was .87. Items in Part VIII were originally constructed by Kidd, §t_al3 (1954), to assess the relative value placed on general as opposed to vocational education. Originally two scores were obtained from.the instrument. However, three scales emerged when the instrument was factor analyzed using the data from.this study. Two scales, Personal Development and.weltanschauung, were associated with general education objectives, and one scale, Scholarly Achievement, with vocational objectives. On these scales students were asked to report the importance to them of achieving the goals (very, average or little) and then to say how well they had been adhieved (very well, moderately or not). Weights determined for the importance of adhieving goals were used to compute scale values for the degree of adhievement. Personal Development.-—Eight of the 26 items (65, 66, 68, 71, 80, 81, 84 and 86) asked students to indicate the importance of achieving certain intrarpersonal goals of higher education which purport to lead to a richer, more satisfying personal life. Items related to the quality of relationships with other people, one's family, and one's personal well- . being. A.high score indicated these were important goals, while a low score meant these were not so important to achieve or realize. Scores could range from 10 to 14. The Hoyt reliability was .70. 52 Weltanschauugg.--The German word, Weltanschauung, was most descriptive of the meaning of eight other items which asked students to consider the importance of achieving (realizing) certain educational goals related to a broad, liberal world outlook. Whereas the Personal Develop- ment scale appeared to treat intrapersonal goals of general education, this scale appeared.to consider what might be termed outer—directed goals of general educations-an understanding of the world one lives in as opposed to one' s immediate interpersonal environment . A high score was evidence that achieving a.broad worldview was important. A.low score was evidence of little interest in.achieving such an outlook. Scores could range from 8 to 24. The Hoyt reliability coefficient was .73. Scholarly.Adhievement.--Ten items related to purely professional or vocational goals of education. These included such goals as acquiring expertness in a field and mastering techniques applicable to one's special interest. Students were asked to assess the importance of making such scholarly-professional achievements. In effect they were to quantify‘ the importance placed on Objectives of specialized education. A.high score on this scale signified such objectives were of great value, While a low score was a sign they were not highly valued. The theoretical score range was from.l2 to 30. The Hoyt reliability was .77. Personal Confidence/FUture Orientation.-—Part IX included 39 ’items describing behavior traits which may or may not have changed during the college experience. Students were asked to report whether at the end of their college experience they possessed more, less, or the same amount of these traits. Seven items considered personal confidence and optimism for the future (101, 118, 119, 120, 121, 122, and 125). A high score indicated students were confident in themselves, aware of their 53 goals, and optimistic about their future. A low score suggested low self confidence and little optimism for the future. Scores could range from.7 to 21. Hoyt reliability was .72. Religiosity.--Fbur items (106, 107, 123 and 124) asked students to report if they had.more, less, or the same amount of religious attachment to a faith or set of beliefs as seniors than as freshmen. Scores could range from.4 to 12. .A low score denoted greater religiosity as a senior and a.high score less religiosity. This four item.scale had a Hoyt reliability of .87. Its correlation with the religious concepts scale was .63. This would suggest both scales are measures of related traits, but that some measured by one are not measured by the other. Respect for Authority,—-Students were asked to respond to a three item scale (108, 109, and 110) which attempted to assess their respect fer formal authority. Did they have more, the same or less respect fer law, rules and regulations and persons in positions of authority as seniors than as students entering college? A low score was evidence of more respect while a high score suggested less respect. The theoretical score range was frtm13 to 9. The Heyt reliability coefficient was .78. Tolerance.--Scores could range from.4 to 14 on a five item scale (87 to 91) which purported to measure aspects of tolerance in behavior. Students were asked to say if they had more, less, or the same amount of tolerance toward other people, opinions or behavior as seniors than they did when they entered college. A high score signified greater tolerance; a low score was indicative of less tolerance. Hoyt reliability for this scale (rtt = .48) was just within the a priori criterion level. Range of Interests.--One desired individual outcome of higher education might be an increased range of interests across intellectual, 54 social, scientific, political and cultural affairs. Six items (93 to 97 and 100) attexpted to measure students' self-reported level of change in such interests. A high score (up to 18) expressed a greater range of interests as seniors than as entering freshmen. A low score (down to 6) deronstrated a constricted range of interests as seniors. Hoyt reliability was . 58 for this scale. Vocationalism.--One motivation students may have for higher education is the increased earning power of a specific vocation or profession. Five items (111 to 115) asked students to report if they had more , the same or less interest in money and vocational preparation as educational rewards. A high score was indicative of such interest. A low score expressed the idea that other job satisfactions , along with an education emphasizing the liberal arts, were of greater personal importance. Scores on this scale could range from 5 to 15. Its Hoyt reliability, .46, was just within the lower bound of the 3 priori criterion level . Resourcefulness . —-Another desired personal outcome of higher education might be the ability to "get up after a knock down,"--to adjust to adverse situations and accept disappointments. A two item scale (98 and 99) with a Hoyt reliability of .60 was designed to assess such resourcefulness. Scores could range from 2 to 6 . A high score evinced greater adaptiveness while a low score evidenced lesser flexibility. Other itere in Part IX formed scales below the criterion level of reliability and are described in Appendix 2 . TWO other parts contained potentially scalable data using the RAVE program. Part XV considered the effect of various others on career plans, and Part XVII considered the effect of losing various activities or resources associated with a University community. Neither part formed a usable scale, however, and they are 55 also described in Appendix B . Additional Item (houps The fifty items in Part X were not scalable by means of the RAVE program. These were descriptors of courses, personnel, activities and organizations which may have strengthened or modified beliefs students had when they were freshmen. These items were separated by content analysis into seven groups and analyzed using Kendall's Coefficient of Concordance and Hays' Omega Squared. Item responses were first transformed into a new scale containing five response keys from "most reinforcing" to "most modifying." Item groups analyzed were (1) Courses, (2) Instructors, (3) Peers, (4) Student Organizations, (5) Student Activities, (6) University Facilities, and (7) Other influences not classified in the first six categories . Student Typologies Five items of Part XII asked students to choose among four types of student subcultures: (W) Vocational, (X) Intellectual, (Y) Non-Conformist, and (Z) Collegiate (Appendix 1). These subcultures were defined by Clark and Trow (1966) not as specific descriptors of groups of people, but rather as related attitudes , norms and modes) of behavior. Chi Square was used to test for differences in response to the items among the four groups . SUMMARY Students selected for this study were drawn from the population of students who had attended Michigan State University for at least nine of the eleven terms since their initial entrance to college in fall, 1958. 56 FOur groups were included in the sample: (1) students who joined and remained in social fraternities, (2) students who joined and later dropped out of social fraternities, (3) students who pledged.but were never fOrmally initiated into social fraternities, and (4) students with no record of any fOrmal association with a social fraternity. Instruments used in the study were described and techniques of analysis outlined. Data were collected at (l) entrance to college, fall, 1958, (2) after one year, May, 1959, and (3) after fOur years, May, 1962. Results were generalizable to a single MiChigan State University class group. CHAPTER 4 ANALYSIS OF DATA Data gathered for this study were analyzed in a number of ways depending on the nature of the data. The purpose of this chapter is to present a detailed account of the data analysis. The account will be presented in two parts: (1) data associated with published instruments, and (2) data associated with the Senior-Year Bperience Inventory. Published Instruments The first seven hypotheses stated in Chapter III were associated with data collected on published instruments . Hypotheses are treated in the order they were stated, using Greenhouse and Geisser' 3 method of profile analysis. Two _F_‘ ratios will be of particular interest: (1) the group-test mean square which is a test of whether the group profiles are parallel, i.e., have the same shape, and (2) the group mean square which is a test of whether the groups arise from the same population. In almost all cases, the _F_‘ ratio for variables should be significant, since the instru- ments used have widely varying score ranges and standard deviations . This violates statistical assumptions usually associated with profile analysis . The Greenhouse and Geisser metrod (1959, p. 96) however, is robust to such a violation. 57 58 Hypothesis 1 Cognitive and affective variables measured by the Inventory of Beliefs, A Test of Critical Thinking, The Differential Values Inventory, Rokeach's Dogmatism Scale, The College Qualification Test, and the MSU Reading Test were included in the two-way analysis of variance (Table 4.1) performed to test the first hypothesis: 1. Upon initial enrollment in college, there is no difference on selected cognitive and affective variables among individuals who eventually join and remain in fraternities, join and later drop out of fraternities, pledge but never fOrmally associate with fraternities, and never fOrmally associate with fraternities. TABLE 4.1 VARIANCE ANALYSIS FOR HYPOTHESIS 1 Source SS df MS F Groups 2309.974 3 769.991 3. 037” Subjects within Groups 45631.931 180 253.511 Variables 33l3889.342 5 662777.868 229.540“ Variables by Groups 4811.923 15 320.795 1.111 Variables by Subjects within Groups 259856.569 900 288.729 *Significant at the .05 level of_confidence or beyond TWO §_ratios were significant when the variance analysis for Hypothesis l.was completed. It was expected that variance for variables would be significant. The second significant E_ratio was for Groups. The non-significance of the variables by groups interaction indicated there was parallelismlof scores among the feur groups. 59 The significant §.ratio fhfl‘groups would indicate that the groups arose from.populations having differential group means. On this basis Hypothesis 1 was tentatively rejected. However, a significant §_ratio only indicates that somewhere in the data analyzed there is a significant difference; it does not indicate where it is (Hays, 1963, pp. 459-460). To locate points of difference, it was necessary to make individual contrasts between pairs of means. Since no hypotheses were stated beforehand indicating where differences might be found, Scheffe's Post-Hoe Contrasts were computed for this purpose (Table 4.2). TABLE 4.2 POST-HOC CONTRASTS: HYPOTHESIS l VARIANCE ANALYSIS Groups Compared Mean Difference Conf. Int. Sig. 1 versus 75.326 2 78.746 3.420 :3.766 NS 1 versus 75.326 3 76.065 0.739 :3.766 NS 1 versus 75.326 4 78.301 2.975 13.766 NS 2 versus 78.746 3 76.065 2.681 :3.766 NS 2 versus 78.746 4 78.301 0.445 :3.766 NS 3 versus 76.065 4 78.301 2.236 :3.766 NS 1 versus 75.326 2,3, and 4 77.704 2.378 :3.069 NS 1 and 2 vs. 77.036 3 and 4 77.183 0.147 :2.651 NS 1 and 3 vs. 75.696 2 and 4 78.524 2.828 12.651 .05 1= Greeks, 2: DrOpouts, 3: Pledgeouts, 4= Stayouts 60 The only post-hoc contrast which appeared to contribute to the overall significance of the F ratio for groups in Hypothesis 1 was a complex contrast involving the mean of Groups 1 and 3 (Greeks and Pledgeouts) versus the mean of Groups 2 and 4 (Dropouts and Stayouts). This contrast is very difficult to interpret. Other, simple contrasts of greater interest to the study were not significant. Since the simple contrasts among the groups were not significant despite overall significance in the §_ratio for groups, it seemed reasonable to state that fer the purposes of this ,study the four groups were not significantly different from.each other on initial test scores. Thus, Hypothesis 1 was qualifiedly accepted; there was no simple difference among the groups on selected cognitive and affective variables upon initial entrance to college. Hypothesis 2 Affective variables measured by the Inventory of Beliefs, A Test of Critical Thinkin , and The Differential Values Inventory were included in the twoaway analysis of variance (Table 4.3) computed to test the second hypothesis: 2. One year after initial enrollment in college, there is no difference on selected affective variables among individuals who eventually join and remain in fraternities, join and later drop out of fraternities, pledge but never formally associate with fraternities, and never fOrmally associate with fraternities. The variables by groups interaction in the §_table for Hypothesis 2 was not significant. At the end of one year in college, the test profiles of the four groups remained parallel. The E ratio for Groups, however, was significant at the .05 level. While test profiles may be parallel, the groups themselves would appear to arise from different 61 TABLE 4.3 VARIANCE ANALYSIS FOR HYPOTHESIS 2 Source 83 df MS F Gr°UPS 1144.558 3 381.519 3.180* Subjects by Groups 21592.275 180 119.957 Variables 120767.576 2 60383.788 563.67l* Variables by Groups 343.496 6 57.249 0.534 Variables by Subjects within Groups 38565.594 360 107.127 *Significant at the . 05 level of confidence or beyond populations . The post-hoc contrast which contributed to the overall significance of the 3 ratio was Group I (Greeks) versus Group 4 (Stayouts) (Table 4.4). On the basis of the 3 ratio and this contrast, Hypothesis 2 was rejected. One year after initial enrollment in college , there was sufficient difference among IB, CI' and DVI test scores of Greeks and Stayouts to say with confidence that they arose from different parent populations. In all cases, Greek test scores were lower than Stayout , Dropout, and Pledgeout test scores (Illustration 4 . 1) although they were significantly different only from Stayout test scores . Restated in terms of the variables measured by the instruments, Greek-affiliated students dexonstrated less critical thinking ability, were more immature, and more likely to think in terms of stereotypes in comparison with students who never affiliated with fraternities . 62 TABLE 4.4 POST-HOG CONTRASTS: HYPOTHESIS 2 VARIANCE ANALYSIS Groups Compared Mean Difference Con. Int. Sig. 1 versus 43.862 2 45.696 1.834 :3.677 NS 1 versus 43.862 3 45.529 1.667 ‘13.677 NS 1 versus 43.862 4 47.913 4.051 i3.677 .05 2 versus 45.696 3 45.529 0.167 13.677 NS 2 versus 45.696 4 47.913 2.217 13.677 NS 3 versus 45.529 4 47.913 2.384 :3.677 NS 1 versus 43.862 2, 3 and 4 46.379 2.517 19.002 NS 1 and 2 versus 44.779 3 and 4 46.721 1.942 +2.592 NS ILLUSTRATION 4.1 GROUP MEAN SCORE PROFILE, SPRING, 1959 Mean Score Group 1 _____ Group IB DVI 75 2 __ __ . 3 H 1 63.6 36.2 31.8 70 q 4 - - 2 65.3 38.0 33.7 65 j 3 67.6 37.2 31.8 23 - 4 69.5 39.5 34.7 50 : 45 40 j 35 d 30 d 25 . 63 Hypotheses 3 and 4 Hypotheses 3 and 4 regarding the degree and direction of change among the fOur groups one year and four years after initial enrollment in college were tested together. .A fourhway analysis of variance with Time as the additional factor provided the necessary infor- mation for both hypotheses. Scores on the Inventory of Beliefs, A Test of Critical Thinking_and The Differential Values Inventory were included in this computation. (Table 4.5). TABLE 4.5 VARIANCE ANALYSIS FOR.HYPOTHESES 3 AND 4 Source SS df ‘ MS F Groups 3123.393 3 1041.131 3.451" Subjects within Groups 54301.321 180 301.674 Times 4942.351 2 2471.176 73.088“ Variables 390339.859 2 195169.929 646.956“ Times with * Variables 5816.159 4 1454.040 39.788 Groups with Times 97.967 6 16.327 0.483 GroupS‘with Variables 2411.866 6 401.978 1.647 Groups with Times with Variables 505.116 12 42.093 Times by Subjects within Groups 12171.903 360 33.811 Variables by Subjects within Groups 87883.831 360 244.122 Times by Variables by Subjects within Groups 26311.836 720 36.544 *Significant at the .0571eve1 of confidence or beyond 64 There were three siglificant 3 ratios of interest to the study when the variance analysis for Hypotheses 3 and 4 was carried out . The F ratio for Groups was significant . Post-Hoe contrasts indicated the contrast contributing to the overall significance of this _F_‘_ ratio was between Greeks and Stayouts (Table 4. 6). The second significant 3 ratio of major interest to Hypotheses 3 and 4 was the main effect of Times. As the contrasts signified, the change in test scores over time was great enough so that all possible simple contrasts contributed to the overall significance of the Times F ratio. This was interpreted to mean that change in test score levels for all groups across time was sufficient to say that different parent p0pulations of responses underlaid the groups at the three points in time. The third siglificant _F_'_ ratio was associated with the Times and Variables interaction. This suggested that groups may have changed differentially on variables across time (Table 4.6), or that instruments may have been measuring different constructs at different times. The non-siglificance of the Groups by Variables interaction was taken as evidence that test score profiles remained parallel within time . The non-significance of the Groups by Variables by Times interaction was taken as evidence that not only the direction of change , but also the degree of change among the four groups was not significantly different across time. On the basis of these results Hypotheses 3 and 4 were not rejected. The parallelism of the score profiles would argue that there was no difference among groups in the direction of change, and the lack of a significant Groups by Variables by Times interaction would suggest there was no difference in the degree of change . 65 TABLE 4.6 POSTBHDC CONTRASTS: HYPOTHESBS 3 AND 4 VARIANCE ANALYSIS Groups Compared ’ Mean Difference Conf. Int. . Sig. Groups Pyratio° 1 versus* 43.978 2 45.749 1.771 13.376 NS 1 versus 43.978 3 45.901 1.923 13.376 NS 1 versus 43.978 4 47.857 3.879 13.376 .05 2 versus 45.749 3 45.901 0.152 19.376 NS 2 versus 45.749 4 47.857 2.108 13.376 NS 3 versus 45.901 4 47.857 1.956 13.376 NS 1 versus 43.978 2,3 and 4 46.502 2.524 12.709 NS 1 and 2 versus 44.864 3 abd 4 46.879 2.015 12.371 NS Times F Ratio: Ti versus** 43.319 T2 45.750 1.931 10.855 .05 T1 versus 43.819 T3 48.045 4.226 10.855 .05 T2 versus 45.750 T3 48.045 2.295 10.855 .05 Times by variables Interaction: «wsus 132* 63.951 66.489 2.538 13.629 NS .us I83 63.951 72.060 8.109 ‘13.629 .05 66 TABLE 4.6-Continued Groups Compared Mean Difference Conf. Int. Sig. IB2 versus 1B3 66.489 72.060 5.571 13.629 .05 CTl versus CT2 32.984 37.745 4.761 13.629 .05 CTl versus CT3 32.984 39.391 6.407 13.629 .05 CT2 versus CT3 37.745 39.391 1.646 13.629 NS DVIl versus DVI2 34.522 33.016 1.506 13.629 NS DVIl versus DVI3 34.522 32.685 1.837 .13.629 NS DVI2 versus DVI3 33.016 32.685 0.331 13.629 NS * **l = Greeks, 2 = DrOpouts, 3 = Pledgeouts, 4 = Stayouts 1 = beginning of freshman year, 2 = end of freshman year, and 3 end of senior year Students in all four groups apparently changed in the same direction and to approximately the same degree on the instruments considered in this analysis. Since the flratio for Groups was significant, an interpreta- tion.of these data might be that groups (input) were differential, but that Change for the groups on the intervening variables was approximately the same. After four years (output) group means on the variables were substantially in the same relative position as at entrance to college (input). This result conflicts with the conclusion drawn for Hypothesis 1 of no simple difference among the groups in level of test scores. 67 The Hypothesis 1 analysis was perfOrmed on data from.six instruments, but the Hypothesis 3 analysis was perfbrmed on data from.cnly three instruments. The Hypothesis 1 analysis may contain a Type II statis- tical error, accepting a hypothesis when indeed it should be rejected. The additional data included in the first analysis frontthe three instruments not included in the later analyses may have masked differ— ences at Time 1 which.mdght have occurred if only data for the three instruments treated in Hypotheses 3 and 4 had been analyzed in the Hypothesis 1 analysis. Restated in.terms of variables measured, at all three times data were analyzed, Greeks displayed less critical thinking ability, were consistently the most stereotypic in.their perceptions of all four groups, and as Lel'marm and Dressel (1962, p. 200) suggested but never tested in their research, Greeks were the most other directed, i.e., most likely to have an emergent value orientation. It was true, however, that the contrasts listed above fer the DVI showed no change for all students as a single group for the entire college experience. Clearly, this does not preclude the possibility of change within sub-groups. It is most important to note that the significant difference fbund in test score level between Greeks (l) and Stayouts (4) was not because of differential group development associated with collegiate experiences, but rather was one of initial position on.measures of the variables in question. 68 Additional data were collected which were related to Hypothesis 4 but not Hypothesis 3. Scores on Rokeach's DogEtism Scale were obtained at initial entrance into college and at the end of four years. While scores across times were sigrificant (Table 4.7), the main effect for Groups and the Times by Groups interaction were not significant. Change in the scores from freshman to senior years was significant and toward decreasing dogmatism in all groups (Illustration 4. 2). TABLE 4.7 DOGMATISM VARIANCE ANALYSIS Source SS df MS F Groups 5951.465 3 1983.822 1.974 Subjects within Groups 180938.576 180 1005.214 9: Times 16457.938 1 16457.938 55.841 Times by Groups 1348.769 3 449.590 1.525 Times by Subjects within Groups 53050.793 180 294.727 *Siguficant at the . 05 level of confidence or Eeyond ILLUSTRATION 4. 2 mGMATISM MEAN SCORE PROFILES Mean Score Groups Pr. Sr. 175 - 1 170.2 161.2 170 _ 2 173.4 163.3 3 168.9 151.8 165 ‘ 4 166.9 149.6 160 _ .. 155 _ ‘-'\-.__ 150 ‘3; 145 69 Viewing Dogratism scores alone, Hypothesis 4 was not rejected. The degree and direction of change on this instrument was not differential among the groups studied after four years . Hypothesis 5 Having determined that group levels but not profiles were different upon entrance to college and at the end of one year of college experience , it was logical to ask if group levels and profiles were similar at the end of four years of college. The data indicated that group levels were similar, but that group profiles were indeed different after four years (Table 4.8). Variables included in this analysis were scores on the Inventory of Beliefs, A Test of Critical Thinking, The Differential Values Inventory, and Rokeach's Dogratism Scale. TABLE 4.8 HYPOTHESIS 5 VARIANCE ANAYISIS Source SS df MS F Groups 619.870 '3 206.623 1.859 Subjects within Groups 20007.087 180 111.150 Variables 1785707.207 3 595235.736 6821.30003" Variables by Groups 8421.315 9 935.702 3.5748 Variables by Subjects within Groups 141363.478 540 261.784 *5 . . . Siguf 1cant at the . 0 5 level of confidence or beyond 70 Results showed there was no difference among the four groups in level, but there was a sigrificant difference in score profiles. The interaction of variables by groups , which is an indicator of parallelism in score profiles, was sigiificant. When the method for the interpretation of sigmificant interaction effects recommended by Levin and Marascuilo (1970) was carried out, results indicated that no simple combination of variables and groups was solely responsible for the significant 1: ratio (Table 4.9) . Furthermore, neither were any pairs of interaction parameters responsible for the significant interaction E ratio. Scheffe's Theorem states that if an _P_‘ ratio is sigrificant, there is at least one set of contrasts which is also siinficant. Apparently, a complex interaction involving two or more groups and two or more variables was responsible for the siglificant 3 ratio. The large number of possible complex interactions which might be tested seemed unreasonable to carry out because of the difficulties anticipated in computation and in interpretation . Knowledge that no simple interaction contributed to the E ratio seemed sufficient for this study. TABLE 4.9 ESTII‘M'ES OF THE INTERACTION PARAMETERS: HYPOTHESIS 5 ANALYSIS IB CT DVI D-S Rows G1 -4.126 -0.805 -0.207 5.135 -0.456 92 -3.875 -l.576 0.217 5.234 1.576 G3 3.114 0.652 0.141 -3.908 —0.717 G” 4.885 1.728 0.402 -6.462 -0.402 Columns -3.092 -35.761 -42.467 81.321 A A 3% 2': 2‘ij =Kij1 7.358 V718 = ‘PAB 1 12.042 therefij is a simple interaction between a variable and a group, and YAB is an interaction between any pair of variables or groups. 71 It was possible to say that while the groups may have arisen from populations having similar test responses, they did arise from populations having differing score profiles, i.e. , overall interpretation of the profiles for each group was differential in some way. Hypothesis 6 Whether group means change over time or not , another kind of change may still occur among individuals within a group. Surely different interpretations are attached to a group of scores on an instrument which are widely dispersed along the entire scale, and a group of scores which cluster relatively close to the mean. In the first case the interpre- tation would likely be that there was little agreement within the group of scores on the variable measured (heterogeneity). In the second case the interpretation would probably indicate there was considerable agreement within the group of scores (homogeneity). Change over time from little agreement to considerable agreement, or vice-verse, would seem to imply an impact at least as meaningful as a change in mean score. Furthermore, differential dispersion of scores across groups at a given time would also suggest alternate explanations. Hypotheses 6 and 7 considered the possibility of change in group variability between and within the groups of this study. For each variance analysis computed to test the first five hypotheses, a parallel analysis of variance of the test score profiles was computed. Levene's Test for Homogeneity of Variance is a straight- forward test which is robust to the assumption that the samples tested come from normal populations. Data needed for the test were "...the absolute values of the differences between each observation and the mean of its group" (Glass, 1966). These were obtained after each of the 72 original analyses of variance were computed by using the resultant group means in a Fortran sub-routine on the CDC 6500 computer, and punching a new deck of cards with the required values. Hypothesis 6 considered change in dispersion of group scores across groups independent of time. It was parallel to Hypotheses 1, 2, and 5: 6. There is no difference in the dispersion of test scores among individuals who eventually join and remain in fraternities, join and later drop out of fraternities, pledge but never fOrmally associate with fraternities, and never formally associate with fraternities (1) upon initial enrollment in college, (2) one year after initial enrollment in college, and (3) four years after initial enrollment in college. The 5 ratios of interest parallel to Hypothesis 1 for Fall, 1958, entering freshman score profiles were not significant (Table 4.10). On this basis part 1 of Hypothesis 6 was not rejected; dispersion of test scores fOr the groups of interest were not different upon initial enrollment in college. TABLE 4.10 LEVENE VARIANCE ANALYSIS, FALL, 1958 Source SS df MS F Gkoups 183.603 3 61.201 0.382 Subjects within 1 Groups 28782. 845 180 159.905 Variables 52811.036 5 1052.207 123.165" Variables by - Groups 555.821 15 37.055 0.432 Variables by Subjects with- in Groups 77180.312 900 85.765 ’gRecall that, due to the nature of the test scores, the F ratio for Variables was expected to be significant. As a result it was not of great interest to the study. 73 Non-significant _}_‘_ ratios simply mean that statistically the dispersion of profile scores for the groups were uniformly heterogeneous or homogeneous. Alone they yield no indication of which is the case in a set of data. Graphing individual group score dispersions appeared the most practical solution to finding what kind of score dispersion was present. In order to provide a means of comparison, score dispersions of instruments common to all three times were graphed together (Illustra- tion 4.3). Since 3 ratios in the analysis of end of freshman year scores (Table 4.11) and the analysis of senior year scores (Table 4.12) were all non-sigfificant, it seemed redundant to graph test scores not in common across all three times. The E tests in these analyses indicated the dispersion of test scores between the groups at all three times was the same or similar. Hypotheses 6 and 7 were not rejected; there was no statistically sigxificant difference in dispersion. ILLUSTRATION 4. 3 TEST DISPERSIONS COMNDN TO ALL TIMES Inventogg of Beliefs Dispersions 30 1 26 15 16 10 - 5 _' .— 0 s- 5 _ 1 2 3 4 1 2 3 4 1 2 3 4 10 _. 15 16 20 25 30 - 26 6: 15.3 15.2 13.7 16.4 16.5 15.7 15.3 15.7 17.1 15.0 15.0 17.6 Time I Time II Time III 74 ILLUSTRATION 4 . 3 —-Oontinued Critical ThinkiniDispers iOns 15 .J 25 10 521‘] I I a 1 I I -~ I 5413.1 2 3 4 1 2 3 4 12 3 4 10- w ' j l 15j2¢$ 6:6.7 6.8 6.6 7.0 5.3 6.2 6.8 5.4 6.0 6.1 6.1 4.8 TimeI Time II Time III Differential Values Inventory Dispersions 20 15] 23 10 .4 l 5 .. 1 , ' ‘ 0 d-— '1—- ——1 —-4 --—: .7 b—q h—-4 —-i '— s_1234 1234 1234 10 1 l l * I l ' [ 15 j 23 20 - 6:6.6 6.6 6.8 7.8 6.4 7.2 6.4 8.0 7.1 7.3 6.7 6.9 TimeI Time II Time III ---r 1 = Greeks , 2 = Dropouts , 3 = Pledgeouts , 4 = Stayouts The graphs clearly showed lack of disagreement in dispersion among the four groups . Considering the theoretical range of scores for the instru- ments involved, it would seem reasonable to say these results were relatively homogeneous . Stated another way , individuals were in fairly close agree- ment on the variables measured. 75 TABLE 4. 11 LEVENE VARIANCE ANALYSIS, SPRING, 1959 Source SS df MS F Groups 6.615 3 2.205 0.053 Subjects withe in Groups 7557.047 180 41.984 f Variables 6898.479 2 3449.240 912.208“ Variables by Groups 180.577 6 30.096 0.796 Variables by Subjects within Groups 13612. 202 360 37. 812 "*SIgnificant at the .05 level of confidence or7beyond TABLE 4.12 LEVENE VARIANCE ANALYSIS, SPRING, 1962 Source SS df MS F Groups 61.642 3 20.547 0.163 Subjects withe in Groups 22588.213 180 125.490 Variables 22918.253 3 7639.418 113.802" Variables by Groups 682.845 9 75.872 1.130 Variables by SUbjects within Groups 36249.464 540 67.129 *Significant at the .05 level of confidence or beyond 76 Iypothesis 7 Hypothesis 7 considered change in dispersion of goup scores within groups across time. It was stated to be parallel to Hypotheses 3 and 4. 7. There is no difference in the dispersion of test score profiles over time within groups (1) one year after initial enrollment in college, and (2) four years after initial enrollment in college. The _F_ ratios of interest parallel to those in Hypotheses 3 and 4 in the four-way analysis of variance for Hypothesis 7 were not siinficant (Table 4.13). On these results Hypothesis 7 was not rejected. Dispersion of test score profiles within groups across time were rot differential. In terms of variables measured, dispersion was rot sigmificantly different in a statistical sense among the groups on the Inventory of Beliefs, A Test of Critical Thinking, and The Differential Values Inventory. When dogmatism scores collected at the beginning and end of college were considered, Hypothesis 7 , part 2 could not be accepted. While there was re difference in group level or profile, in this case the sigfificant 3 ratio for times was evidence that for all groups there was a difference in dispersion over times (Table 4.14) . When actual total group deviations were checked , the students had become more Iomogeneous from their freshman to their senior year on Rokeach's Dogratism Scale (Fresh- man = 27.2; Senior = 24.0). Using t-tests on freshen-senior variances in their population, Lehmann and Dressel (1962, pp. 52-54) found greater heterogeneity among males on the DVI and greater homogereity on the Roguatism Scale. The use of multiple t-tests on the same population may account for the additional significant difference in the Lelmann-Dressel data. 77 TABLE 4.13 LEVENE VARIANCE ANALYSIS: HYPOTHESIS 7 Source SS df MS F Groups 67.299 3 22.433 0.254 Subjects with- in Groups 15922.826 180 88.460 Times 4.667 2 2.333 0.110 5': Variables 19288.222 2 9644.111 109.022 Times with Variables 166.135 4 41.534 1.911 Groups with Times 76.054 6 12.676 0.599 Groups with Variables 180.459 6 30.076 0.437 Groups and Times with Variables 232.137 12 19.345 Times by Subject within Groups 7616.840 360 21.158 Variables by Subjects within Groups 24777.822 360 68.827 Times and Var- iables by Subjects within Groups 15657.401 720 21.733 *SignifiCant at the .05 leveI'of confidence or beyond 78 TABLE 4.14 LEVENE DOQ’IATISM DISPERSION ANALYSIS Source SS df MS F Groups 343.686 3 114.562 0.344 Subjects with- in Groups 59832.891 180 332.405 :8 Times 961.591 1 961.591 6.400 Times by Q'oups 438.450 3 146.150 0.972 Variables by Subjects within Groups 27043 . 742 180 150 . 243 *Significant at the .05 level of confidence Senior Year Experience Inventory The remaining two hypotheses (8 and 9) formed for the study treated data collected on Lehmann and Dressel' 5 Senior Year Experience Inventory (SRI) . Additional data considering self-reports of factors which reinforced or undified beliefs , and student response to the Clark- Tnow student typologies were also analyzed. Mothesis 8 Hypothesis 8 was formed to consider mean score data from scales developed out of items from the SRI . Sixteen scales were developed from SRI items which had an internal consistency reliability coefficient considered a prior} to be sufficient for further analysis. Definitions of these scales were listed in Chapter III. The hypothesis formed to consider than was: 79 8. Four years after- initial enrollment in college, there is no difference in degree or direction of 'Selfareporrted change, or in attitudes and values anong individuals who eventually joined and remained in fraternities , joined and later dropped out of fraternities , pledged but never formally associated with fraternities , and never formally associated with fraternities . The test of the hypothesis was a three-way analysis of variance using the aeenhouse and Geisser profile analysis method (Table 4.15) . There was a significant 3 ratio for the Groups, but no significant E ratio for the Groups and Variables interaction. Groups had parallel profiles , but profiles were not all at the same level. Apparently there was difference in self-perceived degree of change, but not in direction of change. Other- wise both 3 ratios would have been non-significant. Hypothesis 8 was thus not rejected in terms of direction of change , but was not accepted in terms of defie of change. TABLE 4.15 RAVE SCALES VARIANCE ANALYSIS ......... Source SS df MS F Groups 196.218 3 65.406 3.126* subjects with- in Groups 3766.002 180 20.922 8: Variables 186797. 121 19 9831. 427 835 . 721 Variables by Groups 817.695 57 14.345 1.219 Variables by Subjects within Groups 40234.085 3420 11.764 Significant at the . 05 level of confidence or beyond 80 A set of Scheffe' contrasts were computed to determine where differences in level might be found (Table 4.16). While it would seem nost interesting to ask about differences among groups on individual scales , the non-significance of the groups by variables interaction would suggest that what is true for one scale is true for another. The contrasts listed thus looked across the entire profile of scale scores for groups , and asked if there were simple differences in level between pairs of groups which might provide evidence to show differential degree of change . TABLE 4.16 POST-HOC CDNTRASI‘S: SRI RAVE ANALYSIS Groups Compared JMean Difference Conf. Int. Sig. 1 versus* 15.004 2 15.442 0.438 10.592' NS 1 versus 15.004 3 15.103 0.099 :0.592 NS 1 versus 15.004 4 14.804 0.200 10.592 NS 2 versus 15.442 3 15.103 0.339 [:0.592 NS 2 versus 15.442 4 14.804 0.638 ‘:0.592 .05 3 versus 15.103 4 14.804 0.299 :0.592 NS 3:? 1 = Greeks; 2 = Dropouts; 3 = Pledgeouts; 4 = Stayouts The contrast involving Dropouts (2) and Stayouts (4) proved to be the only simple contrast contributing to the overall significance of the Groups _I_'_ ratio anong those tested. The data indicated that in comparison to Dropouts, Stayouts had a significantly lower overall scale score profile. An effort was made when the scales were constructed to have higher scores represent more of various described qualities . Compared only with the _ 81 DrOpouts, Stayouts had less of these described qualities in their group profile. There was no significant difference in profiles when Stayouts were compared with other groups . Hypothesis 9 A.question of equal interest to that of differences in mean scores on the SRI scales was whether scale score dispersion was differential among the groups. Hypothesis 9 treated that aspect of the data analysis. It was tested using Levene's Test of HOmogeneity (Table 4.17). Results indicated that neither levels nor profiles of dispersion were different. The significant §_ratio due to variance of variables was not of interest to the study. Based on these data, Hypothesis 9 was not rejected. There were no statistical differences in the scales of self-reported change or in scales of attitudes and values for the four'groups on the Senior Year Experience Inventory. TABLE 4.17 LEVENE VARIANCE ANALYSIS: SRI SCALES Source SS df MS F Groups 11.490 3 3.830 0. 684 Subjects with- in Groups 1007.342 180 5.597 Variables 7810. 330 19 411. 070 126. 661“ Variables by Groups 242.121 57 4. 248 1.185 Variables by Subjects within Groups 12264.421 3420 3. 586 7*Significant at the .05”1eve1 of_confidence or beyond 82 Additional Data Fifty items in Part X of the SRI were not scalable by means of the reciprocal averages program. These items provided students with the opportunity to mark those among the fifty which in their Opinion had modified or reinforced their beliefs since they entered college. Seven groups of items were formed by content analysis: (1) Courses, (2) Instructors, (3) Peers, (4) Student Organizations, (5) Student Activities , (6) University Facilities , and (7) Other influences not classified in the previous six categories . As explained in Chapter III, data were analyzed using Kendall's Coefficient of Con- cordance and Hays' Omega Squared. Group scores were determined by sunming across individual responses. Data for this analyses were transformed from the original instrument such that a single scale was formed with a response of 5 meaning "nost modifying" and a response of 1 meaning "nest reinforcing." Courses.-'IWelve items listed specific courses in University College of Michigan State University, other courses and courses in one' 3 major (Table 4.18) . The intent of these items was to ascertain if students perceived an impact on their beliefs as a result of the general education courses in their academic program: Natural Science , Social Science, Humanities and Commnication Skills . Kendall's Coefficient of Concordance (KCC) anong the four groups on these data was 0.51, or 51 percent ofthe maximum possible variance which could theoretically be achieved. This was interpreted to be a moderately high degree of concordance among the groups. The two courses listed as most modifying were Social Science 231 and Social Science 232. Courses listed as nost reinforcing beliefs were "a course in your major" and (tied) "any other course" and Humanities 241. 83 TABLE 4.18 SELF-PERCEIVED IMPACT OF VARIOUS COURSES ON ATTITUDES AND VALUES Greeks Dropouts Pledgeouts Stayouts Total Course Score (Rank) Score (Rank) Score (Rank) Score (Rank) (Rank) (kmnmmication * Skills 111 132 ( 5.5) 129 ( 8) 131 ( 8.5) 140 ( l) 3.5 Communication Skills 112 133 ( 3.5) 126 (10) 130 (10.5) 136 ( 2) 6 Communication Skills 113 113 ( 3.5) 125 (12) 132 ( 7) 134 ( 6) 7 Natural Science 181 132 ( 5.5) 136 ( 5) 131 ( 8.5) 135 ( 4) 3.5 Natural Science 182 129 ( 8.5) 141 ( 2) 128 (12) 137 ( 7) 8 Natural Science 183 126 (11.5) 133 ( 7) 130 (10.5) 128 ( 9) 11 Social Science 231 141 ( 1) 143 ( l) 136 ( 2) 135 ( 4) 1 Social Science 232 131 ( 7) 139 ( 3) 137 ( l) 135 ( 4) 2 Social Science 233 129 ( 8.5) 138 ( 4) 134 ( 5) ‘129 ( 8) 5 Humanities 241 119 (13) 126 (10) 133 ( 6) 125 (11) 12.5 Humanities 242 126 (11.5) 135 ( 6) 135 ( 3.5) 126 (10) 9 Humanities 243 128 (10) 126 (10) 135 ( 3.5) 117 (14) 10 A course in my'najor 116 (14) 117 (14) 121 (14) 122 (13) 14 Any other course 137 ( 2) 124 (13) 124 (13) 122 (13) 12.5 *KCC"for these data.was 0.51 Instructors.--Parallel to the items about courses, 10 items asked students to say which of various university instructors and other personnel had most influenced their beliefs (Table 4.19). 84 TABLE 4. 19 SELF-PERCEIVED IMPACT OF VARIOUS INSTRUCTORS ON ATTITUDES AND VALUES Greeks Dropouts Pledgeouts Stayouts Total Instructors Score (Rank) Score (Rank) Score (Rank) Score (Rank) (Rank) Social * Science 138 ( l) 137 ( 5) 143 ( 2) 136 ( 3) l Humanities 129 ( 5.5) 129 ( 7.5) 127 ( 9) 131 ( 7) 9 Natural Science 130 ( 3) 136 ( 6) 134 ( 4) 129 ( 9) 7 Camumication Skills 131 ( 2) 130 (9.5) 147 ( 1) 133 ( 4.5) 2 Instructor in major 113 (10) 130 ( 9.5) 124 (10) 138 ( 1) 10 Any other instructor 129 (5.5) 138 (4) 129 (8) 122 (10) 8 Housemother 128 ( 8.5) 129 ( 7.5) 135 ( 3) 137 ( 2) 5.5 R.A. or Head R.A. 129 ( 5.5) 140 ( 2.5) 130 ( 6.5) 132 ( 6) 3.5 Conduct patterns of Faculty 129 ( 5.5) 140 ( 2.5) 133 ( 6) 130 ( 8) 5.5 Academic Adviser 128 ( 8.5) 143 ( l) 130 ( 6.5) 133 ( 4.5) 3.5 a"RC0 fwThese @ta was 0 . 24 The KCC value for these data was 0 . 24—-a low degree of concordance among the groups . When a low degree of concordance is computed , the question arises whether there is low agreement between the groups or low agree- ment among subjects BEE-“.. the groups. The latter tends to cause ties in rank order which weakens the robustness of the KCC . One way to determine whether there is low agreement between or within groups when a low KCC is found is to calculate Hays' measure of statistical association, Omega Squared, for each individual group (Hays, 1963, pp. 381-385). None of the Omega Squared for the four groups accounted for more than one per cent of the variance in the dependent variable , responses to items about instructors. Apparently the reason for the low KCC value was very little 85 agreement among subjects within the several groups. The value of Omega Squared for Greeks was 0.009; Dropouts, 0.000; Pledgeouts, 0.001; and Stayouts, 0.000. Regardless of low overall agreement, it seemed defensible that agreement among the subjects within a group would be greatest on items with the most extreme scores. Considering only those items with the highest and lowest group scores, Greeks reported Social Science instructors most modifying and major instructors most reinforcing. An academic advisor was most modifying for Dropouts, and a Communication Skills or major instructor most reinforcing. Pledgeouts said a Communication Skills instructor was most modifying and a major instructor most reinforcing. Stayouts reported a major instructor most modifying and any other instructor most reinforcing. ww-There is much in the literature on student development about the impact of peers on attitudes and values. Six items treated the impact of various peer group situations. KCC for these data was 058 , a moderate degree of concordance which indicated general agreement among the groups as to the rank order of peer influences. The generalized statement, "conforming to campus mores," was considered the most modifying peer group influence, and close friends were the most reinforcing influence among the students in the groups (Table 4. 20). Student Organizations.--Another source of influence on student development closely related to peers were student organizations. A set of six items listed various student organizations , and asked students to report which of them had had an impact on their beliefs. The KCC was 0.19 (Table 4.21). There was no agreement among the groups as to which of the six types of student organizations were most influential on individual attitudes and values. Hays' Omega Squared tests showed that lack of 86 TABLE 4.20 SELFLPERCEIVED IMPACT OF PEERS ON ATTITUDES AND VALUES Greeks Dropouts Pledgeouts Stayouts Total Peers Score (Rank) Score (Rank) Score (Rank) Score (Rank) (Rank) Close * Eriend(s) 128 ( 6) 131 ( 5) 130 ( 5) 113 ( 6) 6 Roommate 130 ( 5) 135 ( 4) 129 ( 6) 134 ( 4) 5 Discussions of "bull- sessions" 131 ( 3.5) 144 ( l) 131 ( 3.5) 128 ( 5) 3 A.perscn I dated 131 ( 3.5) 127 ( 6) 131 ( 3.5) 140 ( 1) 4 Conduct patterns of students 136 ( 2) 142 ( 3) 144 ( l) 137 ( 2.5) 2 (kmfitmmdng to Campus Mores 137 ( l) 143 ( 2) 140 ( 2) 137 ( 2.5) l I‘RCC for these data was 0.58 agreement was associated.with disagreement among individuals within groups, as none of the statistics accounted for more than 4.5 per cent of total variance. The values were Greeks, 0.002; Dropouts, 0.000; Pledgeouts, 0.045; and Stayouts, 0.007. Greeks marked the Honors College most modify- ing and their fraternity or sorority most reinfOrcing. Both Dropouts and Pledgeouts viewed ROTC as most modifying and their living quarters as most reinforcing, although tied in rank with Extra-Curricular Clubs for Dropouts and Honorary Societies for Pledgeouts. Stayouts considered their living quarters most modifying, and Extra-curricular Clubs most reinforcing. Student Activities.--A.third source of student impact on student development associated.with peer interaction and student organizations was student activities. Five items mentioned various all-campus activities which students might choose to do (Table 4.22). The KCC was 0.47. 87 TABLE 4.21 SELF-PERCEIVED IMPACT OF STUDENT ORGANIZATIONS ON ATTITUDES AND VALUES Student Greeks Dropout Pledgeouts Stayouts Total Organizations Score (Rank) Score (Rank) Score (Rank) Score (Rank) (Rank) Extra-curb ricular * clubs 124 (5) 132 (5.5) 134 (4) 130 (6) 6 Fraternity or Sorority 113 (6) 136 (3.5) 144 (2) 137 (2) 3 Living Quarters 134 (3.5) 132 (5.5) 129 (5.5) 138 (1) 4 ROTC 134 (3.5) 137 (l) 148 (l) 135 (3) l Honors College 140 (l) 136 (3.5) 137 (3) 133 (4.5) 2 Honorary Societies 135 (2) 136 (3) 129 (5.5) 133 (4.5) 5 ‘*RCC for these data was 0.19 TABLE 4.22 SELF-PERCEIVED IMPACT OF STUDENT ACTIVITIES ON ATTITUDES AND VALUES Student Greek Dropout Pledgeouts Stayouts Total Activities Score (Rank) Score (Rank) Score (Rank) Score (Rank) (Rank) Social Events 117 (3)} 130 (3) 127 (3) 122 (5) 3.5 Athletic Events 116 (4.5) 131 (1.5) 125 (4) 123 (4) 3.5 Lecture- Concert Series 135 (l) 129 (4) 132 (2) 126 (3) 2 Participation in Athletics 116 (4.5) 127 (5) 124 (5) 131 (2) 5 Physical Education 127 (2) 131 (1.5) 133 (l) 134 (1) l *KCC fOr these data was 0.47 88 This was considered within the range of moderate agreement among the four groups. The activity regarded.as most modifying was physical education. The.most reinforcing activity was participation in athletics. At first glance, this seemed somewhat uninterpretable. However, physical education was a required activity in Which students were asked to take part in activities they might not otherwise choose to do. Participation in athletics, on the other hand, would seem to relate strongly to those activities students knew and enjoyed doing. If this interpretation is correct, the difference between What was most modifying and most reins forcing may be exposure to new experiences. university Facilities.-2A.sixth source of potential impact on student attitudes and values was University facilities Which the student might use to his advantage. There was a.moderately high degree of agreement among the groups on the impacts of the various University facilities listed on the inventory (Table 4.23). The KCC was 0.73. Tied for first rank as the most modifying influences were the Mental Hygiene Clinic and the Improvement Services. The Church, if the campus ministries may be considered a University facility, was the most reinforcing influence on student beliefs in this set of items. Other Influences.--Four items which did not appear to logically fit into the previous six categories of potential student impacts were listed together. Interestingly, the highest degree of concordance was registered fOr this group, 0.76 (Table 4.24). Campus regulations were considered the most modifying of these potential influences, and Family the most reinfOrcing of previously held attitudes and values. Again it would appear that adapting to new experiences (regulations) was modifying, while continuing familiar experiences (Family) was reinforcing. 89 TABLE 4.23 SELF—PERCEIVED IMPACT OF UNIVERSITY FACILITIES ON ATTITUDES AND VALUES University Greeks Dropouts Pledgeouts Stayouts Total Facilities Score (Rank) Score (Rank) Score (Rank) Score (Rank) (Rank) Counseling g. Center 139 (l) 130 (4) 135 (3) 130 (3) 3 Library 126 (5) 131 (3) 127 (u) 128 (u) u Mental Hygiene 135 (2) 134 (2) 139 (l) 136 (2) 1.5 Clinic 134 (3) 138 (l) 138 (2) 139 (l) 1.5 Improvement Services Church 128 (4) 124 (5) 124 (5) 122 (5) 5 *KCC for these data was 0.73 TABLE 4.24 SELF-PERCEIVED IMPACT OF OTHER INFLUENCES ON ATTITUDES AND VALUES Other Greeks Dropouts Pledgeouts Stayouts Total Influences Score (Rank) Score (Rank) Score (Rank) Score (Rank) (Rank) 4? Employment 130' (3) 144 (3) 143 (1.5) 128 (3) 3 Family 114 (4) 125 (4) 125 (4) 127 (4) 4 Campus regulations 151 (l) 145 (2) 143 (1.5) 145 (1) 1 Being away fromhome 136 (2) 149 (l) 133 (3) 141 (2) 2 *RCC for these data was 0.76 Student Typologies The final section of data from the Senior-Year Egberience Inventory analyzed for this research was student responses to the four Clark-Trow student typologies: (W) Vocational, (X) Academic, (Y) Non-Conformist , and (Z) Collegiate. Students were asked to select the typology which most closely described them as Seniors and when they entered college as 90 Freshmen. They also indicated that typology least like themselves as Seniors, the type they would like to be if they could, and the type they considered the typical MSU student (Table 4 . 25) . The four groups were statistically different in their description of their present typology. In decreasing order, the fraternity-associated groups (1,2 and 3) were most likely to choose the non-conformist category, while Stayouts were most likely to choose the vocational typology. Two-thirds of the students who chose the collegiate typoloy were Greeks . Groups were also statistically different in their selection of the typology £215.13 descriptive of themselves. Greeks were most likely to say the academic type was least descriptive and least likely to report the collegiate orientation as least descriptive. In contrast , a majority in the remaining three groups (2, 3, and 4) considered the collegiage orientation least descriptive of then. There was considerable change in the typology selected by sub- jects in the groups from 1958 to 1962. In 1962, students in all groups were less concerned with vocatioral proparation and more involved in a desire for balanced academic and social activity. Two other points seered noteworthy. Stayouts retained the most vocationally oriented after four years , and all other groups except Greeks declined in the percentage selecting the collegiate orientation . The third item on which the groups were statistically different had to do with the kind of person they would like to be if they had a choice. All groups had a majority of subjects Opting for the non- conformist description, but more Greeks than other group members still indicated they wanted to be collegiate . Greeks were least likely , and Dropouts most likely to say their ideal type was Academic. A comparison 91 woommro m on: nos .3 8 mm 83 odooz.oo> c0mhwo mo coax mew meanwhommo room.ma Amv Aav AoV Asav Ammo Ammo Ammv Ammo Army Ammv Ammv Amav AHHV AHHV Amv AHHV 0p promoao mmeoo . H m o m am am am mm ma NH we a m m a m o>oom mew mo coacz Sm: 8. memo pmfim 30% con: mpm3_:o> cemnoo mo Unfix mew mcaoflnommo Hoa.m Amv Aomv Asav Aomv Ammv Aowv Aawv Ammv Aomv Amv Aeav Aav Aomv Ammv Aaav Aomv ow vmmmoao mmeoo : m w m 0H m Ha we m a m m mm am we mm m>oom one no coflc3 ~30: on 0p maomnoo> hooflm 1:00 30> cowhmo mo coax mop mo o>Hu cmas.mm Ammo Azmv Ammo Aomv Amv Aav Aav AQV nomv Away Aamv Away Amv Ammv Aomv Ammv loanommo pmmwa we 4 mm mm :m :H a m m o m m Ha mm a He m OH m>ocm may mo moan: ~30: mo ow mammmoo> mm nofimcoo so» screen .6 3.2 was. an noehommo ow pmmmoao mz ammm.mm on “so Aav Ammo Ammo Aaav Arno Azmv Ammo Ammo Aomv Arc Ammo Aomv Aomv Aomv mmaoo AN.w.x.3V . o m m OH NH ma Hm mm we 0H m m ma :H :H m m>oom mew Mo cowcz a m a H a m N a a m N H a m a a 528me x memflwofioo pogomcoolcoz "Jeanna @0383 m mcfloooowmm ozone comm :H Ammouomonmmv com zocoooonm moMH mHmommmlmqmm mm.: mqm seam .xHaHazuonsaammmoomMBZH 0.0 xHszmm/w 130 APPENDIX C.0 ROTATED FACTOR LOADINGS, PART V , ITEMS 39-53 Factors Items 1 2 3 0 5 Communality 39 .828* .080 -.059 -.009 .028 .697 00 .750* .089 .063 .020 -.052 .599 01 .305 —.055 .071* -.277 -.195 .058 02 .185 -.377 .250 -.313 -.395* .096 03 .033 .000 .375 -.026 -.606* .509 00 .150 .283 .012 .530* -.085 .511 05 .5753: -.257 .027 .071 -.230 .056 05 .086 .002 .612* .105 -.121 .019 07 .110 .133 .207 .052 -.711* .582 08 .115 -.553* .088 -.190 -.009 .085 09 .000 .087* .086 -.187 .237 .555 50 .028 -.059 .661* .088 .125 .050 51 .015 -.075 .219 -.039* -.350 .378 52 .038 .220 .000 -.727* -.002 .580 53 .159 .525 .077 -.132 -.168 .071 Hi. Load. .828 -.553 .551 -.727 -.711 Prop.Var. .123 .095 .105 .095 .092 Cum. P.V. .123 .219 .325 .020 .511 7“denotes highest loading by item 131 mHQMH mHeH co omHHHso mHmsHoums 3m 30 mm 0H H0 00 30 0H mm mm 0H 0H 0m 5H 00 mm mm 00 HH mm 00 0H Hm mm 0m 00 mm mm 0H Hm Hm mm mm 00 00 00 mm 30 00 Hm 00 H0 0H 0H 0m 5H 0H H0 mm mm 00 03 0m mm mm 00 0m mm mm 0H H0 0H mm 00 0H 5H mm 0m 0m 30 5H Hm Hm mm 30 mm 0m 0m 00 Hm 00 00 5H 30 00 mm mm 00 mm 3m mm mm mm mm H0 00 mm 00 0H 0H H0 0m 50 0H HH 00 00 00 mm HH 30 0H 0m 0m 0H mm mH 00 00 mm mm mm 0H 0H 0m 5H mm 0m mH mm Hm 0m 00 mm 0m 0m 0H 3m 5H 0m H0 mm 5H 0m 00 mm 5H m0 0H 0m 00 m0 0m 5H 0H 0m 0H 3m 0m 0m 00 H0 mm mm mm 50 mm 00 00 0m mm mm 00 H0 50 mm mm 0H mm mm Hm Hm 0H mm 0H 30 3H mH mm HH mm mm 3m 3m 0H 0H 5H mm Hm mm mm 03 0H mm 00 00 0H 00 mm 5H 0H m3 mm 03 mm H0 mm mm 0m mm 30 H3 0H HH 0m 0H 0H 00 33 H3 mm 0m 3m 0H HH 0H 0m 00 Hm 5H mm mm mm mm mm mm mm H3 30 0H Hm H0 0m 0m mm mm mm mm mm 35 mm 0m >0 H3 0H mH mm 0H Hm H3 00 03 mm 00 0H 0m 0m 00 0m mm mm 0H 3H mm mm mm mm mm 0m 00 00 0H 0H 5H 0m H5 00 0H -0H 0H 0H 0H mm 00 0m 0m 0H 0H 0m 5H 0H 00 03 03 00 00 m0 m0 0H mH 0H 0H 00 mm 00 0H 0H 00 mH 50 00 mm 5H 0H Hm 00 3m 0H 0H 0H 00 mm 0H mm 30 03 H3 00 30 mm mm 30 00 m0 H0 00 mm mm mm 05 mm 35 05 mm Hm 05 00 00 mm 00 00 30 00 m0 H0 mewPH soouHo mzmsH .Hmm .HHH> exam .meaaz 20HH0 HH 00 HH 0H 00 HH m0: H0: H0: 00 H0: HH: 0H HH 0H 0HH m0: m0: >0: 00 H0 H0: 00 00 00 H0 0m m0: 3m 0H 3H H0 30 mo 00 00 0H 0HH 0H 00 0H 00 00 00 >0 00 30 >0 30: 0H 00: m0: H0: 30 30: 0H: m0: H0 00: 3HH mo 30: 30 30 00 HH 0H 00 00 00 00 mH 00: 00 00: 0H 00 >0: >0 >0 H0 0HH 30: 00 0H: 00: 00 3H 00 0H H0 00 HH 0H Hm 0H HH 0H 30 00 00: >0 0H mHH 00: 00: mm 00 30 0H: 00 00: >0 30 mH: m0: 0H: 30: 00: m0: 3H: 00: 00: >0: 30: HHH 0H HH 00 00: mm HH 30 00 >0 00 0H 00 H0: HH 00 mH 30: 00: 00 0H 00 0HH HH HH 00 00 mm 3H 00 mo 00 00 m0 H0 mH: 00 H0 >0 00: 00: H0 0H 00 00H 00 30 00: mo: 00 mH 00 0H 00 >0 mH H0 H0: HH 00 00 30: >0: 00 00 >0 00H m0 H0 00 00 00 00 00 m0 H0 30 >0 H0: H0 00 00 H0 0H: 30 00 H0: >0H 30 00 HH >0 00 mo: 00 00 H0: 00 m0: mo: 00 HH 00 00: H0: H0 00 00H Hm 0H H0: 00: 30: 00 mo 30: H0: 00: 30 m0: H0: 00: 00: 00: >0: 00: 00H >H H0: mo 00 30: 00: 00 30 mo 00: 30: 00: 00: mo: 00: 0H: 00 30H 0H >0 >0 00 00 >0 00 30: 30: mo: 00 00 0H: H0: 0H HH 00H 0H mH HH 0H 0H 00 m0 HH m0 Hm mH H0: 3H 0H 00 m0H >H 0H HH mm mH 00 >0 H0: mm mH 30 00 0H m0 HOH mH 0H 0H mH 0H H0: 00: 0H >H H0 mm 0H 3H 00H 03 >H >0 00: 30 00 00 00 00 30 00 00 00 0H 3H 00: m0: H0 00 HH 30: 00 00 >0 00 Hm 0H >m 00 3H mo 00 0H 00 >0 >0 mo 00 0H 30: 00 0H HH 00 0HH >m 30: HH 0H >0 30: >0 >0 00 00 0H: 0H: HH >0: mo 00: 00 0HH 0m 0m 30 00 H0 00 H0 00 m0 3m 00: mm HH mH 00 3HH mm 3H 0H 00 0H >0 00 30 >0: 0H >0 >0 30 0HH 0H 00 H0 0H 00 00 00 H0: HH 00 00 mHH >0 00: 00 0H 0H m0 00 00: HHH 00 00 0H 00 H0 30 03 0HH 0H 0H 0H 00 00 00H 00 mH 00 MHH 3HH 0HH mHH HHH 0HH 00H 00H mEmPH Hm 00 >0H 00H 00H 30H 00H m0H HOH 00H 00 00 >0 00 00 30 00 m0 H0 00 00 00 >0 mEGHH Hmm .0mH:>0 mZMHH .XH Hm¢m aXHmH.o mezmmm< 130 mHHB 9.010 so 8806 080qu 3H 00 00: 00 00: 00 H3: 00 00 H0 00 00 >H HH: mH HH 00 0mH 00 00: 00 00: >0 0H: 00 00 m0: mH 00: >0 0H: mH 0H 0H 3mH 00: 0H 30: 00 mH: 00 0H 00: HH 00 00 00: HH 3H 00 0mH 30: H0 0m: 0H 00 0H: m0 m0: 00: 00: 00 0H: 0H: 0H: mmH 0m: 0m 00: 00 >H mo: 00 00 00 00 0m 0m 0H HmH >>: 00 mo 00: 30: 00: HH: 0H: 0H >0: 00: 0H: 0mH 0m: 00: 00 30 00 0H 3H 00: 00 00 0H 0HH >0 00: mo 00: mo: 00: HH 00: 0H: 3H: 0HH 0H 00: mm mo 00: 0H 00 0H 00 >HH 0mH 3mH 0mH mmH HmH 0mH 0HH 0HH >HH 0HH 0HH 3HH 0HH mHH HHH 0HH 00H 00H mewHH mH 0H >0: 00 00 mH 0m HH mo 00 3H HH 00 00 H0 >H 00 0H: 00 3H 30: 0mH >0 mm 30: m0 0H mo 00 mo 00 00: H0: 00 H0: 30: mo 00 30 >0: m0 H0: 00 3mH 00 H0 H0 00 00 00 00 00 00 >0 00: mH H0: 00: 00: 0H 00 >0:. 00 >0 m0 0mH 00: 00: 0H H0 00: 00: 00: 00: 00: m0 m0: 0H: mo 00: 00: HH: H0: 0H: 00: 0H: 0H: mmH 00 00 30: 00 3H HH 0H 0H mo 00 >0 0H 00: 00 30 HH 30 0H HH 3H 3H HmH 30: 00: 00 mH 00 00: >m: HH: H0: H0: 0H: H0: 00: 00: 00: 0m:. HH: H0: 00: 0H: 00: 0mH >0 00 00: 00: 00 HH 0m HH 00 m0 0H 00 00 3H 00 mm 00 00: 00 0H 00 0HH 0H: HH: 0H 00 mo 00: >H: 3H: HH: 00 >0: >0: 00: 00: 00: 3H: 00: H0: 00: 00: 00 0HH 00 00 >0 00 0H H0 H0 00: H0: >0: 30: H0 00: 30: H0: H0: 00: >0: 00: mm: H0: >HH >0H 00H 00H 30H 00H m0H HOH 00H 00 00 >0 00 00 30 00 m0 H0 00 00 00 >0 mEmvH Hmm .0mH:>0 mZMHH axH Hm.o xHszmm< 135 300. 0>H. 330. e0H3.: 00m. 00H. 0mm.: 0m0. 000. 0>H.: mH0.: 000. 0H0. 000. mHH 0H0. 000.: mmm.: mmm. «>33.: 000. 0Hm. 3m0.: 3>H.: 0m0. 000.: ,00m.: HHH. HOH.: HHH 0m0. 030.: m0H.: >00.: m00.: m30.: mm0. 000.: HHO.: «00>.: 300.: HOH. H>0.: 300. 0HH m3>. 000.: m00.: m>0. 000.: H00.: H00. >00.: 3m0.: «m00.: 000. H00. 300.: >30. 00H 000. 0H0.: 3m0.: 0H0.: >H0. 000.: H>0.: 000.: «000.: «300.: 300.: >H0.: >m0.: 0HH. 00H >m>. 000.: mm0.: 000. 030.: 0m0.: 0m0. 000.: 0H0. m00.: 000.: 000. «030.: 030. >0H >0>. 000. 000.: 000. mm0. 030. m00. 0H0.: 000. 0H0.: H00. 000. «0m0.: 000. 00H >00. 0Hm. H00.: m0H. 00m.: 03H. «300. m0H. 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H00.: H00. 000.: 3H0.: 00 030. 00H. m00.: «000.: >3H. 000. 300.: 0>0. 00H. 000. >00.: HOH.: 0m0. 000. 00 300. 00H. 000. 300. >H0. 000.: 000. 0H0.: H00. 30H.: «>0>.: H00. 000. 000. 30 00>. 0m0.: 000. 00H.: H00. 0m0.: 0>0.: H00.: m00.: 0m0.: «0m0.: 0m0. 000.: 0m0.: 00 m>0. 000. 000.: 300.: HOH.: 300.: 030.: m>0.: 0HH.: 000. >0H.: «003. 000.: 00m. m0 033. #000. 00H. 0mH.: 000.: 0HH.: H00.: 0m0. 03H.: 000. 000.: 30H. m>0.: >30. H0 003. >0m. «m00. 00H. >HH. HHO.: 00H. mHm.: 030. 000. 030.: 30H.: 000. 000.: 00 000. 030.: 0H0. 000.: 030.: «0>>.: 000.: 0H0.: HHO.: >00.: 00H.: 000.: >00.: >00. 00 000. 00H. 000.: 0H0. 000.: «000.: 00H.: 000.: 0m0. 000.: 0H0. m>m. H00.: 000. 00 H03. «300. 3H0.: 000.: 00m. 3H0.: >00. HOH.: 000.: >H0. 0m0.: 0H0. 000.: 000.: >0 .EOO 0H mH HH 0H 0 0 > 0 0 3 0 m H mEMPH mHovomm Hem .oNHéo mg .on Head .0598 ”6.85 @251 0.0 XHszmm< 136 >00. >>0. 030. 000. >03. 0H3. H00. 000. >0m. H0m. HOH. H3H. 000. .>.m £50 000. >00. 030. 030. m30. 000. H00. 030. 000. 000. 030. 0>0. 000. Whm> ..9bw 000. 000.: m0>.: 000.: 0>>.: m0>. 0HH. m00.: m00.: 0m0.: 000. >00.: >00. .omoq .Hm m>0. m>H.: 0H0.: 00H.: 0m0.: 000.: mH0. 03H. 30. 00H.: 0m0. 00H. 0HH.: «000. 0mH 00>. >H0. HHO.: 3m0.: 000. >m0. 000.: 000.: 300. 000.: Hm0. H00.: «>00.: 000. 3mH >H>. 000. 300.: m00.: 000.: H0:.: 0H0.: 000.: 000.: 000.: 000. 030. «0m0.: 0H0. 0mH 000. 000. mm0.: 3m0. 000. 000. H30. «0H0. 0m0.: 0mH. 0m0. 0H0.: H30. 0mH.: mmH 3>0. .000. 030.: 000.: 300.: 0>0.: H00. «000.: H00.: 03H.: >H0.: 000. 030.: 000. HmH 000. >mm.: m00. 000.: m00.0 00H.: 00H. 33m. 000. 000. 0>0. 000.: 000.: «>00.: 0mH 33>. m0m. 00H.: 000. H00.: 000.: 0HH.: 30H.: H00. 3H0.: >HH.: 0mH. 3H0.: «00>. 0HH 300. 00H. m>H.: 00H. >H0.: 0HH. 0m0.: H00.: 030. >0H. mm0.: 30H. 00H. 0000.: 0HH 033. 000.: «000.: >00. >Hm.: >00. 000.: 0m0. m0H. 00H.: m00.: 0m0.: 000. 000.: >HH >>3. 0>0.: «000.: 3>0.: 000. m3m.: m>H. 3HH.: m0H.: 300.: 0>0. HHO.: H00.: 000. 0HH 003. 000. mmm.: 000.: «030. m00. 000. 000. >3H.: 030. m>m.0 m00.: 000. >00. 0HH 000. 03H. 00H.: 00H.: «000.: 0>0. 300. 000. >0:.: mHH.: 300.: 0H0. 000.: 000. 3HH 000. 00H.: >0H.: 0>0.: «Hm0.: >0H.0 000. 030.: 03H.: 000. 000.: 0mH. >00. 03H. 0HH .EUO 0H mH HH 0H 0 0 > 0 0 3 0 m H mePH gowomm omscHHCOOII0.o xHszmm< APPENDIX D ITEM WEIGHTS FOR SENIOR-YEAR EXPERIENCE INVENTORY SCALES APPENDIX I) ITEM.WEIGHTS FOR SENIOReYEAR EXPERIENCE INVENTORY SCALES SRI Weights Assigned To r Item Response Positions Name tt Number 1 2 3 0 5 6 7 College Satisfaction .00 l 3 2 1 2 3 2 1 3 3 2 1 0 3 2 1 5 3 2 1 Academic Satisfaction . 52 6 0 3 l l 7 0 3 2 1 8 2 2 3 0 9 2 2 3 0 10 1 2 3 0 11 0 3 l l Anti-Communism.(8r.) .69 12 1 2 3 3 0* 13 1 2 3 0 5 10 5 0 3 2 1 21 5 0 0 2 1 22 5 5 3 2 l Reference/Norm Group (Sr.) .21 16 5 3 2 1* 25 1 3 0 0 5 27 1 2 2 3 5 Personal Confidence (Sr.) . 20 19 5 0 1 3 1* 20 5 0 3 2 2 Liberal-General Viewpoint . 20 18 5 0 3 2 1* (Sr.) 26 5 0 3 2 1 Peers vs. Professors (Sr.) .16 15 5 0 3 2 1* 17 5 0 3 2 1 Current Issues (Sr.) .08 23 5 0 3 2 1* 20 5 0 3 2 1 137 13 8 APPENDIX D -- (Continued) SRI Weights Assigned To r Item Response Positions Nane tt Number 1 2 3 0 5 6 7 Egalitarianism (Sr.) .33 28 5 0 3 2 1* 29 5 0 3 2 1 Anti-Communism (Pr.) .65 12 l 2 3 0 5* 13 1 2 3 0 5 l0 5 0 3 2 l 21 5 0 3 2 1 22 5 0 3 2 l Reference/Norm Group (En) .35 16 5 0 3 2 1* 25 l 2 3 0 5 27 1 2 3 0 5 Personal Confidence (Fr.) .21 19 5 0 3 2 1* 20 5 0 3 2 l Liberal—General Viewpoint (£00.25 18 5 0 3 2 1* ' 26 5 0 3 2 1 Peers vs. Professors (Frs.) .12 15 5 0 3 2 1* l7 5 0 3 2 1 Current Issues (Pr.) .05 23 5 0 3 2 1* 20 5 0 3 2 l Egalitarianism (Em) .28 28 5 0 3 2 1* 29 5 0 3 2 1 Anticipated Community .55 30 5 0 3 1 2 Activity 31 3 0 3 2 2 32 0 0 3 1 1 33 5 0 3 2 1 30 5 5 3 1 2 35 5 0 3 1 l 36 5 5 3 1 l 37 5 0 3 2 2 38 5 0 0 2 2 139 APPENDIX D -- (Continued) SRI Weights Assigned To r Item Response Positions Nane tt Number 1 2 3 0 5 6 7 Tolerance . 0 8 87 3 2 1* 8 8 3 3 1 8 9 3 2 l 9 0 2 2 l 91 3 2 1 Range of Interests . 58 93 3 2 1* 9 0 3 2 1 9 5 3 2 l 9 6 3 2 l 9 7 3 2 1 10 0 3 2 1 Vocationalism . 0 6 111 3 2 1* 112 1 2 3 113 3 2 1 110 3 2 l 115 l 2 3 Education Need-Achievement . 26 116 3 2 1* 117 3 2 1 Personal Accountability . 21 92 3 2 1* 10 2 3 2 1 10 3 1 2 3 100 1 2 3 10 5 1 2 3 Resourcefulness . 60 9 8 3 2 1* 99 3 2 1 Scholarly Achievement . 77 61 3 2 1 6 2 3 1 1 6 3 3 2 1 6 9 3 2 1 70 3 2 l 7 3 3 2 l 7 5 3 2 2 7 6 3 2 1 7 7 3 1 l 8 5 3 2 2 100 APPENDIX D—- (Continued) SRI Weights Assigned To Item Response Positions Name tt Number 1 2 3 0 5 6 7 Student= Centered Teachers . 50 01 02 03 00 06 51 52 Steam-134300 wwMNMMH NwHwHI—JH Teacher— Community . 60 3 9 Involvement 00 0 5 N HHH HH:—150450 4:473: cocoon NM Teacher-Scholar . 35 08 09 53 4:004 HNG—J H00 H04: (A) Teacher Expectation . 15 07 50 4::—' COM N :44: Religious Concepts . 87 5 5 5 6 5 7 5 8 5 9 6 0 \INQWQN 03:001me 01:01-me 4:4:0053 wml—Jmmm MOMQHCD :—'0:-'\n-J\J 3!- Personal Confidence/ . 72 101 Future Orientation 118 119 120 121 12 2 12 5 our-10:40:40 NNNNMNM le—‘wl-‘wl-J X- Religiosity . 87 106 107 123 120 MNNM wwww 3!- Respect for Authority . 78 108 l 0 9 110 HH:—- b—‘i—‘t—‘l—J NNN wooed 101 APPENDIX EL-(Continued) SRI Weights Assigned To r Item Response Positions Name tt Number 1 2 3 0 5 6 7 Personal Development .70 65 3 2 1 66 3 1 1 68 3 1 1 71 3 2 l 80 3 2 2 81 3 2 2 80 3 2 1 86 3 2 1 Weltansdhauung .73 60 3 2 l 67 3 2 l 72 3 2 1 70 3 2 1 78 3 2 1 79 3 2 l 82 3 2 1 83 3 2 1 Significant Others Unknown 192 "error free" 193 weights not 190 obtained for 195 this scale 196 197 198 Less of University Unknown 203 "error free" Resources 200 weights not 205 obtained for 206 this scale 207 208 209 210 211 212 *Original SRI response order altered to f0rm.scalab1e items