PATHS TOWARD MODERNIZATION IN TRADITIONAL BRAZILIAN COMMUNITIES Thesis for the Degree of Ph. D. MICHIGAN STATE UNIVERSITY JOHN; A. WINTERTON 1969 / Fair-u— ' I III IIIII III II I II III III III II I III II III III III I 3291 This is to certify that the thesis entitled PATHS TOWARD MODERNIZATION IN TRADITIONAL BRAZILIAN COMMUNITIES presented by John A. Winterton has been accepted towards fulfillment of the requirements for Ph.D. degree in Communication / a /’ £1va Date July 8, 0-169 ‘7 BINDING av T" * IIDAS & SONS i BOOK BINDERY INC. Ina 0V no MRI-“ ABSTRACT RATHS TOWARD MDDERNIZATION IN TRADITIONAL BRAZILIAN COMMUNITIES ____T1 by John A, Winterton Traditionalism is defined as a static style of life regardless of occupational endeavor or place of residence. It is often character— fm _' ___..___< __ , , ized by economic deprivation, attitudinal immobility, localiteness , fatalism, low empathy, mutual distrust in interpersonal relations, limited aspirations, low risk-orientation and many other socio-psycho- logical and economic indicants. rDwo questions were asked in the present study: (1) do empirically-verifiable economic, attitudinal and behavioral dimensions exist in traditional life? and (2) can these Characteristics serve as predictors of communication behavior? Data for this study came from a part of the MSU/AID Brazil Phase II Diffusion Project. During July and August of 1966 1,307 house- hold heads in 20 Minas Gerais (Brazil) subsistence farning communities were interviewed in a field survey of the diffusion of innovations. Respondents included those who mined at least part of their land, or made the major decisions for a particular farm and were not absentee landlords. Factor analysis, both R— and.P—types, were the major data- analytic techniques employed in the present attempt to parsimoniously describe both traditionalism and traditional typologies of individuals. John A. Winterton Three R-type factors were extracted from an R-factor analysis of 26 variables. These factors were named: (l) socioeconomic achievements, (2) modern attitudes and (3) community leadership. A comparative analysis of six factor analytic studies of tra- ditionalism, including the present study, was conducted. A total of 21 factors extracted from the six studies were examined in order to determine the similarity of traditional factor dimensions across diverse national settings. Four common dimensions of traditionalism were found among the studies of traditional life in Kenya, India, Colombia, Brazil and the United States. These factor clusters were named: (l) commun- ication contact, (2) economic resources, (3) modern attitudes and (A) community leadership. A random sample of 100 subjects from the original 1,307 re- spondents were subjected to a P—type factor analysis. In this case, correlations between individuals, serving as "variables," and 20 indices of traditionalism (previously isolated by the R-type factor analysis), serving as observations , were factor-analyzed in order to identify tra- ditional typologies of peOple. Three P—type factors were extracted and named: (l) attitudinally modems, (2) economic achievers and (3) com- munity leaders . The three P—type factors and three R-type factors extracted in the two factor analyses were markedly similar. The data indicated that in Brazil traditionalism was negatively related to mass media exposure, cosmopoliteness, change agent contact and the number of commmication channels used for innovation informa- tion. It was also found that traditionalism was related to greater John A. Winterton exposure to interpersonal, rather than mass media, channels in the com- munication of innovations. However, it was found that traditionalism was not related to higher credibility for interpersonal, rather than mass media, channels in the communication of innovations. Finally, it was found that traditional typologies did not differ in their commun- ication behavior. a» PATHS TOWARD I’DDERNIZATION IN TRADITIONAL BRAZILIAN CDMMUNITIES By John A. Winterton A THESIS Submitted to Michigan State University in partial fulfillment of the requirenents fOr the degree of TIDCI' OR OF PHILOSOPHY Department of Communication 1969 n" M- a Accepted by the faculty of the Departnent of Communication, College of Communication.Arts, Michigan State university, in partial fUlfillment of the requirements for the Doctor of Philosophy degree. Guidance Committee: ' .ACKNOWIEDGMENTS The author is greatly indebted to the following individuals and institutions who helped in the completion of this thesis: Dr. Everett.M. Rogers, academic advisor and chairman of the author's Guidance Committee, for initiating and maintaining the author's interest in this study. from him, the author received valuable time, materials and advice which contributed immensely to the completion of this dissertation. The author cannot thank him enough for the help he has provided during the course of his graduate study. Dr. Bradley Greenberg, Dr. Gerald Millery Emu Elwin Bettinghaus, and Dr. Eugene Jacobson, all of whom served on the author's Guidance Committee, for their ideas and critical suggestions which so greatly influenced the theoretical and methodological fOrmulations of this thesis. Mrs. Anita Immele and the staff of Communication Researdh Services at Midhigan State University, for their valuable assistance in the analysis of the data. The U. S. Agency for International Development-sponsored research project on Difosion of Innovations in Rural Societies, for providing the author with the data used in this dissertation. iii III—— .a .fi—.~__ ‘Fellow graduate students and colleagues, whose ideas the author has incorporated here. Radene Winterton, the author”s wife, who continuously provided encouragement and to whom this thesis is dedicated. iv TABLE OF CONTENTS ACKNOWLEDGMENTS . LIST OF TABLES . . . . . LIST OF FIGURES . . . . LIST OF'APPENDICIES . . . . . Chapter I INTRODUCTION Statement of the General Problem Area and Its Importance . . . . . . . . . . . Traditionalism. . . . . . The Traditional Man . . . Traditionalism as a Subculture . . . . Traditionalism and Communication . . . The Present Study . . . Objectives . . . Plan of the Thesis . II REVIEW OF LITERATURE . . . . . . Traditionalism in Rural Brazil Traditionalism and Communication Behavior Hypotheses . . . . . . Justification of the Present Study. . . . III .METHODOLOGY’. . . Sampling . Selection of Communities . Selection of Respondents . Respondent Profile . . Instrument Construction and Data-Gathering V ~q.r-d..—u-- u..r-.\-..~.-.> I 15 COflmmfiEnom 0p howno powwoaoocmum mHmB moanmwem> mm one .mom>Hmco noeomm ow mmoeoo mucoocoomoh wom.a one mo momcoomom a $4 2.4. Ammefléfl H8338 emE 8. 32 .mi: mmemazofi fivfiflom i am. mam 2-20% ,8 Nugfimnmaooo mmflflafi .Huvmoa Hoesvasoepmo Mo on: nmIIHV Hmaopaooebwm mo mm: ma mm.H :s.m Ammoofizocx awwo.Op 30H amuuov owooazoox Ofleocoom NH 2: a: 3680 mo mm: 88 on mmma 638 p680 mo 8: S :m.mm mm.mm Amouozvomog >Heooeboo mo Queens omnuov mochoefia HMCOflPocsm OH 84 $4. Ammesbnfim “wt/flamed 8. mtg/flames 6:8 wand r338. magenta a mm. m:.H AccepommmfiPMm oboe ov mmoa .NIIOV 05o mDVMPm Lwfl3.coflpommmflpMm m mm. Hm. 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HH.H Aoopofiaeoo wcflaoocom moaaoocom mo memo» oeoE ow mmoa .mnoV mo mhmo>.mo_noneoz mm was 8.3 Aware? >wflamopomm popcooo cede ow mmoa namnov >pflamopoowhopcsoo Hm mH.m mm.H Accoflem pmon m mm mnoepo zn QOflpcoE opoE ow mmma amlov ocoflhm Pmmn_m mm COflvcoz om mm. 34 328%6 ES 8. new» and .3: good no 8.88 S nH.mmH Hm.mm Amoemvoon ow mono ocmH opoe.0p mmoa nmmmtov oNHm snow ma 3m. so.H Accepmwcoebo mono .emmo ow mocopmfimoom 509w “Nico wooed oocovmfimnom no Loco ma m:.H mw.H Acowpoooouo ho >Phoo09o Ce oopmo>cfl oeoocw once 09 wwoa azuov soapoNHHMflohoeeoo ma mew 86 658d 88 8 Bus .3: msoofi heme 2 cowymw>om coo: oaooe9m> mo oemz Looeoz onmocwwm Hmwnom AUpCOUV NIHH mHflmH 17 q. ‘J'll _. .. v d V. . ‘Q’I‘IunIul‘a. I. 3m. mm.m Ammocooemcowofloo pace 0% mmoa nmIoV mmmcomychfloHoo mm :m.m mm.: Ahevooeo oHoE Op mmoa .NHIOV zeymoem mm mm.m sa.om Anaemhoomma mace 0P mmoa nsmeoV deememomoa downemo em 93 S. m “fie/Homage 3.936533 90% COflHmecoebo yflooeo .mlov flow coepoecmepo Pflompo mm mm; 85 Emggo 6H 8. am? 6.78 5%?me mm mw.H mm.H Acowpoowowpnmo ewfle_oe 30H .mfinoV deflpmmfloweamo HMfioom :m ::.H mm.H AcOfiyopcoabo Mmfie emez_0p 30H fl5:8 cOHHMpcoeso xmflm mm 84 as 3e35,, 838a B 9?.me 6.8 paws “$69 madame mm 9.4 ms.“ Saginaw poo Rome 88 8 momma .218 Emem>mflumioelemmz Hm :m.m mm.m: Amocmvmwmcooow oboe ow mmma nmale mocopmflmcoocfi woempm om mm. 2. Swan Boa 8. 82 .3: p95 Eeoflmanflfi mm coflpMfi>mQ coo: oanmeno> Mo memz honeoz newcomem Hoepom oncoov.mlHHImHomH 18 The present analysis of traditionalism attempts neither isolated nor initial study of urban and rural poverty; but rather to build on the theoretical and empirical works which have preceded it. Therefore , nearly all of the variables posited by Lerner (1958), Lewis (1961, 1966), Foster (1962, McClelland (1961), and Rogers with Svenning (1969) with respect to their investigations of peasantry, poverty and traditionalism are found in the present research project. In addition, a number of variables which may be considered novel in empirical description of traditional life have been included for one of two reasons: (1) either they conceptually appear to be linked to traditional life styles as in the case of opinionatedness, or ( 2) they represent situational measures, relevant to traditionalism as found in rural agricultural Brazil, such as the indices which relate to farm orientation and agricultural success . Traditionalism and Communication Behavior* The traditional commmication system is characterized by de- pendence on oral communication channels. This amounts to less contact with the external environment than if mass media channels were used. Alteration of this strategy of information transmission in the form of participation in a mass media audience often seems to signal movement toward modernity. Lerner (1958, p. 52-65) refers to the mass media as present report. Also, the analytical procedures to be employed at each Stage in the research project are presented in the methodology chapter. *Traditionals in rural and urban environments are distinguished by different patterns of communication behavior. For example, urban traditionals are heavy users of such mass media channels as television Which receive little use in rural traditional settings . The present analysis focused on rural traditional commmication behavior. 'It-‘i".9s.u _‘_ V .. ‘L’W m-x- - ~v-'.'" I“ ll: 19 the "mobility multiplier." Mass media open a world of vicarious ex- perience to large numbers of people. Sdlrarmn (1961+) and Rao (1966) suggested that the mass media aid modernization by widening the dis- tribution of information . In the present study numerous indices of communication behavior rut? serve as dependent and independent variables . This research strategy ‘ is adopted in order to empirically examine the relationship between . traditionalism and communication behavior. Attention is directed at such categories of communication measures as exposure and credibility of mass media and interpersonal channels, cosmopoliteness , and change- oriented information seeking, see Table II-3. Hypotheses The findings of Deutschmann (1962), Stycos (1952), Rogers (1965), Rogers with Svenning (1969), and Lerner (1958) all support the generalization of a negative relationship between traditionalism and mass media exposure or high mass media credibility. Traditionals characteristically shun mass media channels , even where readily avail— able, in preference to interpersonal channels. For example, Caplovitz (1963, p. 129) cites the importance of door-to—door peddlers as trusted marketers of goods in urban slums where "individuals exclude themselves from the larger market because they do not feel comfortable in it . " The interpersonal interaction of these peddlers with their urban poor customers seem to be the key to the trust placed in them; it certainly is not derived from the quality of their goods or the prices they charge . my, on A PF. rm.“ £— u .....»...k::» ...L. .> pant . 95.1. ~ ~h~aEP~ivie Hit... vavr in». > ~ h T... 20 ”It, lrlqllllr. idg’lo. «I lull I . «I; .1 rte! . . . I {13.4 .‘iu‘. . 1- .moenmaezhtxxw a Locomo conCmpxo ocm omcmco Hench mo moHocomm mcacoepocom IszsoocHHcoo pwooHo mew mo moo we Hm cowPMOHcoeeoo ocm.EwflHchfiPflopr.mo mcowvflCfimoQ HMCOfiHoLooo .<.xflocooo< moms mm. He. Homecomwh mm%.uo.3ocx #.coo..oc .muoov voomo coemcmvxo "mam: HmcopHsownmo mo Hoccmcu m: mm. mm. Homcoomon mom_po socx p.coo .oc .mIIOV «ecepmHHoc m¢0<. 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Ho.H AoHoHoobo pros mo mHocqmno (Son 809% comoco $5 806 or posow , miov 9.6m.» mo 3.334.680 Nm Hm.H OWN AmHoccmfi once 0.... swarm .Nnuov mama HwfifiHoopro Mo mHoccmcU mo cocfisz Hm mm. ON.H Homecomoh no» no 392 fcoo .oc .Nlnov coccmHoc "mam: QEHBEmm co amused as #63358 coma oHAMHem> “Ho 282 98:52 Emocmufi Hormom AUHEOOV mIHH oHcoH 22 I .. .L H:.N ON.N mmocoPHHooOEmoo mace ow mmoH aNONIIS mmocprHooOEmoo mm mm.HH mm.m Accomooxo who: on mmoH nmoNluov whomooxo MHomE mmmz :m mN.H us.H AmyHHHcHoono whoa ow mmoH .munov zeHHHoHooho mHooE mom: mm Nm.H HN.H Apompcoo HMOHccoop booms coerce ch3 no HmHoom .pfloono npoopcoo oc .mIIoV coweom9o>coo mo OHQOH No 8.3 as c. 383:8 398s 89: 8. tame . 8:8 83:8 ycoHHouvcomm owcocu Hm coprw>oQ coo: oHnmenm> mo oemz cooeoz osmocmpm Hmehom Hopcoov mIHH oHcoH 23 Lerner (1958, p. 56) in his analysis of aggregate data collected in several traditional nations notes that as societies move from tra- ditional through transitional to more modern life styles that "the direction of change is always from oral to media system (no known case exhibiting change in the reverse direction) . " In accordance with the findings of these and other modernization and commmication theorists , the following hypotheses are postulated for our sample of 1,307 Minas Gerais (Brazil) rural agricultural traditionalists: GH 1: Exposure_t9_mass_media_comumication channels is negatively related_to traditionalism. A number of studies support a negative relationship between mass media exposure and traditionalism. For example, Rogers with Svenning (1969, p. 115), on the basis of data collected in Colombia, note that "When one compares the mass media in less developed countries with their counterparts in more developed nations, it is seen that the former reach much smaller audiences." They found (1969, p. 97) "a con- siderable disparity in mass media penetration" in traditional versus relatively more modern Colombian ccmnunities. A national sample of India conducted by Sen and Roy (1966) and a national sample of Turkey conducted by Frey (1966) yielded canparable mass media exposure findings. Pye (1963) reports that ccmmuication in traditional settings is usually dependent upon a word-of-mouth process resulting in countless ineffec- tive communication subsystems based upon personal contacts . GH ’ 2: Cosmopoliteness is negatively related to tra- ditionalism. Cosmgaoliteness, an orientation outside of one's immediate social system, is contrasted with localiteness or concentration of one's 21+ 'interest in the immediate environment to the exclusion of the outside world. Traditional men are characteristically localite, and cosmopolite- ness seems to play a.key role in the modernization process. For example, Dondhew and Singh (1967) in a factor analytic study of poor Kentucky farmers found cosmopoliteness to be the most important single variable in distinguishing modern from traditional respondents. Rogers with Svenning (1969, p. 161) fbund.strong correlations between measures of crenopoliteness and numerous indices of modernization among Colombian peasants. In a comparison of traditional and relatively nore modern Colombian villages they noted that about 31 per cent of the variance of socioeconomic antecedents to modernization was explained by cosmopolite- ness in the modern villages While only about 16 per cent of the variance was explained by the traditional villages in a multiple correlational analysis. GH 3: Chan e ent contact is negatively related to tra- dit1on§§§sm.* Change agents are professionals who influence the adoption or rejection of innovations by their clients. Although their greatest service is to their’more traditional clients, they tend to interact most frequently with the most modern of their traditional clients. For example, Rogers with Svenning (1969, p. 176) reported that in Colombia, *In addition to the two hypothesized relationShips between tra- ditionalism and general communication behavior, four hypotheses are offered relating traditionalisnxand change-oriented communication be- havior. The communication variable in eaCh of these hypotheses measured either change agent contact or reception and credibility of agricultural news. 25 India and Kenya "most change agents have higher contact with clients who are characterized by greater innovativeness , higher social status and more education than their counterparts." GH u: The number of communication Channels used for innovation’inftmnation,is negatively related to traditionalflmn. “fin-r .Attendance to numerous communication channels is a sign of modernity. Lerner (196“) and Frey (1966) reported that the most modern of their Turkish respondents attended to numerous mass media Channels. They found that exposure to one mass media channel was positively re- r1." -¢‘-‘_Q.n._-.mi .‘fiA.-" - lated to exposure to other*media. On the other hand, the most tradi- tional of their respondents were found to exclude themselves entirely from the mass media audience. Rogers with Svenning (1969) and DeutsCh— mann (1963) found the same "centripetal effect"* or overlapping exposure to numerous communication Channels in the communication of Change among the most modern of their Colombian respondents. On the other*hand, the most traditional of their peasant respondents exposed themselves to very few Change-oriented communication channels. Thus, even though tra- ditionals are the principal clients of Change, they receive little information which.is innovative. GH 5: Greater exposure to interpersonal, rather than mass media, channels in the communication of innovations is positively related_to traditionaIism, Innovations are ideas or practices whiCh are perceived as new. Traditionalists are not often exposed to new ideas, nor are they seekers * Lerner (1963, p. 3H1) operationalized the "centripetal effect," overlapping exposure to numerous communication Channels, as high corre- lations among exposure to five ness media, including: newspapers, radio, magazines, films and television. 26 of information about Change. Iherefhre, when they are confronted with innovations it is likely via communication channels which are most used, that is interpersonal rather than mass media. Rogers with Svenning (1969) reported that in less developed, as opposed to more developed, nations interpersonal communication Channels were far~mrme important FIT ‘ l than mass media channels throughout the innovation—decision—making pro- 5 cess, from initial awareness through final adoption. i GH 6: Higher Channel credibility fOr'interpersonal, rather ' than mass media, ChannEls in the communication of’ . innovations is positively related to traditionalismu* L“ Rogers with Svenning (1969, p. 98) pointed out that mass media programming often ignores the informational needs of traditionals. "Mass media messages in less developed countries are of low interest and.relevancy to villagers because of the strong urban orientation of the mass media." In fact, the mass media of highly developed nations often ignore infOrmational needs of the urban poor audience. The com- bination of limited exposure and low salience of mass media channels mitigates against high credibility for mass media Channels. Ramos (1967) and Herzog (1967) found in studies of Ecuadorian and Brazilian peasants, respectively, that mass media exposure precede mass media credibility. They noted that the relative positions of various com- munication Channels on a continuum of credibility in diffhsing agri- cultural innovations (ranging from least to most credible) were: news- paper, commercial salesman, neighbor, radio, school teacher and ex- tension agent. The two most credible channels were interpersonal, while the least credible was a mass media Channel. * . . . These six general hypotheses are also tested in Similar form with traditional typologies replacing traditionalism. 27 All of flue previously-mentimed hypotheses make reference to oomnmication behavior characteristic of traditional people. The dominant theme of each hypothesis is the overriding assumption that traditionals tend most frequently to attend to interpersonal communica- tion channels for their informational needs. This tendency appears to be at the expense of the reception of messages through mass media or cosmopolite communication channels. Finally, progress toward modernity appears to be closely linked to increased exposure to mass media, cos- mopolite and change-oriented communication channels. Justification of the Present Study The present approach to the study of traditional life and com- munication behavior is innovative in several instances: 1. A large sample of Brazilian subsistence farmers (1,307 from 18 rural commities) provides the opportunity to utilize R—type factor analysis in the study of responses to a wide variety of socio-psycho- logical and economic indices. This statistical methodology allows for identification of factors central to traditional life. This approach has been employed by Deutschmann and Pals Borda (1962) in Colombia, Jain (1965) in Canada and Donohew (1967) in the United States. 2. Submission of 100 randomly-selected respondents from the population of 1,307 to P-type factor analysis allows (a) description of "People" factors in traditional settings and (b) comparisons of tra- ditional people typologies with variable configurations of traditionalism. Ascrof‘t (1969) (commented on the rarity of this factor analytic technique in the study of traditional life. Parace (1966) used P-type factor .I. ‘ q ..__- _ _. ram-u— 28 analysis at the aggregate level in a study of 109 modern and traditional nations. .Also, Raju (1969) and Donohew (1967) used P-type factors in descriptions of traditional typologies in India and the United States. 3. Finally, the obtained R- and P—type factors provided inde- pendent and dependent variables with WhiCh to test hypotheses concerning traditional communication behavior. Two statistical teChniques, corre- lation analysis and analysis of variance, were used to test the rela- tionship between traditionalism and communication behavior. Raju (1969) used similar statistical manipulations in describing the communication behavior of his sample of Indian peasants. In 1' ‘ws. ' l CHAPTER III METHODOLOGY Data analysis, needs to be both exploratory and con- firmatory . In exploratory data analysis there can be no substitute for flexibility, for adapting what is calculated . . . both to the needs of the situa- tion and the clues that the data have already provided. (Tukey, 1969, p. 90) Methodological cons iderations important in the present analysis of survey data on traditionalism and communication behavior are examined in the present chapter. Attention is directed at instrument construc- tion, sampling, data-collection and data analysis . The data utilized in the present analyses were drawn from a field survey of Brazilian subsistence farmers. This survey was Phase II in a three-phase, three nation study of the "Diffusion of Innova— tions in Rural Societies."* India, Nigeria and Brazil were selected for inclusion in the investigation as being somewhat representative of the range in level of development of less developed nations .** *A research project funded by the United States Agency for International development and conducted in conjunction with the Depart- ment of Communication, Michigan State University, and the Agency for Credit and Rural Assistance (ACAR) , Minas Gerais , Brazil, under the direction of Dr. Everett M. Rogers. ink . . The criteria for selection also included favorable logistic possibilities, significance and representativeness of the country, interest and approval by the host government and by appropriate host institutions, as well as local AID support. 29 .v "IAT . 'u.“ ..n[ “I.“ . \' F'" 1_L 30 - Phase I was a field survey conducted over a representative sample of commmities in an effort to determine the influence of select community characteristics, such as modernization levels, social struc- tural characteristics , cormmity leadership (formal and informal) and degree of interaction with change agents, on the adoption process. In E. Phase II of the Project a second field survey concentrated on the char— * acteristics of individual farm decision-makers. During this juncture ’J‘ilol" ,M‘fi'n‘ of the investigation attention was directed at the relationship of in- dividual characteristics (social, economic and attitudinal) to both (l) innovativeness , and (2) opinion leadership. Phase III represented a set of field experiments designed to investigate, under controlled conditions , the relative efficiency of various commumication strategies . The diffusion of specified innovations was experimentally studied. The treatments were combined media and interpersonal channels during the final phase of the research project. The methodology of Phase II of the Brazilian Project is best understood in the context of the total research program for Brazil and in comparison with comparable researdm being conducted at the same time in India and Nigeria. The research decisions made during each phase of the investigation had an impact or succeeding phases . Also, the overall research objectives tended to shape the research in each country toward similar ends in order to provide for comparability of findings . Ax-.- 31 Sampling A purposive sample of 76 Minas Gerais (Brazil) commmities was selected during Phase I of the research project. These commmities were chosen by NO randomly-selected ACAR change agents . Each agent was asked to pick the most successful and least successful community in his jurisdiction. Through attrition, sampling and other problems this sample of 80 communities was reduced to 76, with 38 corresponding change agents . Selection of Commmities At Phase II of the research project 18 ACAR change agents were purposively selected from the original Phase I sample of 38. This selection was completed with the aid of ACAR specialists working in conjunction with research personnel. Their decisions were based on criteria such as: nearness of a community to a single radio broad- casting station, clustering of houses or nuclear center of community interaction and relative accessibility. Since , as indicated in the Phase I methodology, each ACAR agent represented two communities , it was possible to randOmly designate the selection of either the successful or unsuccessful cormmmity. Only one community per change agent was chosen; and, the final purposive jUdgmental sample included nine successful and nine unsuccessful communities . A\.- 32 Selection of Respondents Subjects were selected from within the 18 commmities on the basis of the following criteria: (1) the major decision-maker for a particular farm, (2) at least part owner of the land they tilled and (3) absentee landowners were excluded from the sample. Research assis— tants were sent to each of the sampled communities in order to both map them and obtain a list of all farm land owners. These lists of names were interviewer guides in selecting respondents . All those listed were interviewed unless they were unavailable during the nine or ten days the interviewing team was working in the community. Occasionally an imporh tant farmer was absent during this period and, where possible, inter- viewing teams returned to the commmmity at a later time to interview such individuals. In other words, a virtual census was completed of farm land owners who were household heads in the 18 selected communities. Once the original 18 commmities had been selected, ACAR notified the Project that they were planning a special program of "co- ordinated communication" in several local offices outside the Phase II sample. Included in their sample were several commities which had been represented in the Phase I research effort. TWO of these, a "successful" and "non-successf " commity were subsequently added to the Phase II research design and respondents were sampled from them in the same manner as in the original 18 communities. Thus, the number of sampled communities was increased to 20, in which 1,307 respondents were interviewed . —.——‘--—- --——.‘-1 '- . ,7. m—n— -—— [—‘Hm‘ ‘. '. 3 n I) :u I..- 33 Respondent Profile An introductory respondent profile is constructed in Table III-1 with typical or modal responses elicited from the large Brazilian sample to a number of indices selected from a lengthy survey questionnaire. This profile, based exclusively on frequency counts, provides a be- ginning point of reference in orienting the sampled population in terms of traditionality or progress toward modernity. The "average" respondent is approximately an years old, has not lived outside of his present community, earns less than $500 (U.S.) a year, and owns less than 30 hectares" of land. He does own a radio, stove, house with a wood or tile floor, a water filter and some kind of farm machinery. He does not own a refrigerator, television set or motorized vehicle. He does not have indoor plumbing, electricity or an inside toilet . Instrument Construction and Data-Gathering Construction of the Phase II personal interview schedule was greatly influenced by a working paper on modernization authored by Keith and Rogers ( 1966) , which outlined variables in 17 conceptual areas and suggested appropriate items for their measurement. Their operational and conceptual definitions were culled from an extensive survey of the literature on modernization and development .** Attention was directed at such variables as: empathy, occupational achievement :9: One hectare equals 2A7 acres. *5: . The MSU/AID Brazilian project.was the focal point for a number of investigations and working papers , including: Herzog and others (1968), Whiting (1967) and Whiting and Winterton (1968). _ A- T“? ="." T It‘d Fr Table III—l. 3” General Respondent Profile Respondent Percentage of Stereotype Respondents Age -- #3 years old or younger 50% Localiteness -- never lived outside of present community 6u% have lived in other rural communities 25% have lived in a large (u0,000 or more) city 10% Income -- earns from $0 to $500 (U.S.) a year 51% earns from.$500 to $1,000 (U.S.) a year 18% earns from $1,000 to $3,000 (U.S.) a year 26% earns in excess of %u,000 a year 5% land Ownership -- owns less than 10 hectares 32% owns less than 30 but more than 10 hectares 53% owns more than 100 hectares 18% Ownership of Commodities —- owns a radio 62% owns a stove with Chimney 83% owns house with.wood or tile floor 67% owns a water filter 59% owns some kind of farm.maChinery 50% does not own a.refrigerator 92% does not own a television set 95% does not own a motorized vehicle 85% does not have indoor plumbing 60% does not have electricity or an inside toilet 69% [1. 35 motivation, political knowledge, opinionatedness, fatalism, inter- personal trust and many others. .A preliminary interview sChedule was developed, in Portuguese, and pretested with a small group of'farmers. The results of this pre- test were incorporated into a revised schedule which was utilized in a rw~ pilot study of 55 peasants, sampled from a community similar but out— side of the 20 communities sample. From the results of this pilot study scale analyses were conducted and the final instrument was considerably shortened and tightened up.* T1... .. ‘ Data-Analytic Strategy The present researCh project has two major objectives: (1) investigation of traditionalism, as a variable composed of an interre- lated set of socio—psychological, attitudinal and economic elements, and (2) examination of the relationship between traditionalism and Change— oriented communication behavior. These two objectives were further subdivided into a.number of research steps, eaCh requiring a different method of data-analysis. An outline of the present project's researCh Objectives and sequential data-analysis methods is seen in Table III-2.** *In their conceptual and operational definitions of 17 inter- related modernization variables Keith and Rogers (1966) cited.numerous theoretical and empirical references, including: Lerner (1958), Rogers (1966), Rogers and Herzog (1966), McClelland (1961), Deutschmann (1963), Admond and Verba.(1963), DoCb (1968, 1965), Arensberg and Niehoff (1964), Sen (1962), Banfield (1958), Pye (1963), Lewis (1951) and many others. ** .A comparison of findings culled via R-type factor analysis in Fhe present researCh project with empirical results of similar researCh 1n other countries (India, Colombia, Kenya and the United States) is P?esented in Chapter V. A.number of methodological dataeanalysis de- cmsions, described in the present Chapter, have been influenced by our desire for comparability of findings. 36 Table III~2;..DataeAnalysis Design ResearCh Objectives Method of’DataeAnalysis 1. Descriptive analysis of variables 1. Zero-order correlation central to traditionalism. analysis, and 2. Regression analysis la. Evaluation of factors important 1. Factor analysis (R-type) in describing traditional life lb. Evaluation of factors important 1. Factor analysis (P—type) in describing traditional typologies of people 2. Evaluation of the relationship 1. Zero—order correlation between traditionalism.(both analysis, and R- and P-type factors) and 2. Analysis of variance communication behavior The first analytic stage relied on both zero-order correlation and regression statistical teChniques in descriptively analyzing trar ditionalism, The inter-correlational.matrix aided decisions on retention or deletion of variables for factor analysis. The regression analysis provided rank-order importance of variables in describing traditionalism. The second data—analysis juncture was concerned with determination, via Retype factor analysis, of socio-psyChological and economic dimensions important in describing traditional life. The third stage of the data- analysis concerned construction of traditional typologies of people. These typologies were extracted through the use of P—type factor analysis I.“ a 1 V r 5. A; a . 0" 37 of a random sample of 100 of the 1,307 respondents. Characteristics of each typology were determined by a WRAP computer program that analyzed typology scores of 20 variables (selected for their participatioi in describing R-type factors of 1raditionalism). Finally, the last stage of the data-analysis dealt with examination of relationships between ; traditionalism and communication behavior. At this point, zero-order 44:..."3" correlation analysis was employed in testing hypotheses relating R-type factors of traditionalism and indices of communication behavior. Additionally, analysis of variance was used to test differences in commmication behavior among traditional P-factor typologies . A com- parison was also made of factors obtained in the P-type and R-type factor analysis . Data—Analysis: Stage I The initial data analytic stage included two separate processes. First, variables were selected on the basis of their suspected utility in empirically describing traditional life and communication behavior. Sixty-five such measures were tentatively chosen.* Second, these var- iables were submitted to both a zero-order correlation and a regression analysis. A careful scrutiny of these statistical manipulations provided a basis for deleting a number of variables from further study. This 9: Appendix B contains a list of all 65 variables in the initial Stage of the present analysis including their scores on each of the four retention-deletion criteria . 38 screening of variables was based on four criteria, any of which, if not passed, justify the exclusion of a measure: 1. A variable was deleted if it had a "no answer" rate exceeding ten per cent, or 131 of the 1,307 respondents. 2. A variable was deleted if it did not correlate significantly with at least three other of the 65 variables tentatively chosen.* 3 . A variable was dropped if it proved redundant with another variable which offered a satisfactory measure of the concept. 1+. Finally, a variable was excluded if its correlation with at least one other variable did not explain at least five per cent of its variance.“ Each of the retention-deletion criteria represent arbitrary stipulations designed to provide a point of reference for the inclusion or rejection of variables. Their utility lies in the development of a parsimonious list of measures, descriptive of traditional life, which may be submitted to factor analysis. Data-Analysis: Stage II The second data—analytic operations sought to determine , via factor analysis, whether a relatively large collection of variables were reducable to a few identifiable clusters of measures which "go together." *Non-significant correlation, at the ordinal level of measure- ment, is any correlation of less than .134 (a correlation of .138 or above is significantly different from zero at the .01 level of con- fidence for an N of 1,307). “One effect of arbitrarily setting the criteria as 5 per cent of variance explained (which is a more conservative level of acceptance 1th significance at the 5 per cent level was to remove most of the var- iables having lower coxnmmalities (h ) to lower and more corplex factor .loadings. Cormmnaliicy refers to the proportion of variance of each var- lable accounted for in a factor solution. ~ I ~* O. at V. (I) N- V. "c '- 39 Factor analysis is a statistical data reduction technique. It is a method of analyzing the correlation matrix of a large number of vari- ables in order to describe basic dimensions of a phenomenon under in— vestigation. These dimensions or variable clusters are called factors. A factor may be considered a hypothetical construct which is defined by those variables sharing common variance with it. Variables which survived Stage I screening, and excluding those related to communica- tion behavior, were submitted to an R—type factor analysis.* This analysis was designed to illuminate those factors most descriptive of traditionalism within both an economic and socio-psychological frame- work. At this juncture 26 variables were submitted to R-type factor analysis . Data-Analysis: Stage III This stage of the data-analysis also depended on factor an- alysis procedures in order to reduce a large number of individuals to clusters which "band together" as typologies.** At this juncture 100 subjects (7.6 per cent), randomly selected from the 1,307 respondents, comprised the sample.*** These 100 respondents served in a P—type *R-type factor analysis refers to the correlation and factoring of responses or tests of a sample of individuals. Me P-type factor analysis refers to the correlation and factoring Of people for a sample of responses or tests. *Only 100 subjects were submitted to P—type factor analysis due to limitations in the number of Variables FACI‘ AN, a computer program available at Michigan State University Computer Center and utilized in the present analysis , could factor analyze. This program had a para- meter limitation of 100 variables . Hence, when people replace variables , as in a P-type factor analysis, it had a 100 person limitation. There was no such limitation on observations. 2 l . "gar 1‘- It'd {mu-n- ‘1‘:- or". .41 «fl -. "..~"- ‘ _ _ . |II l (IP H I y- Y;- 'u v: “a V. A. V- MO factor analysis as variables, while, 20 measures of traditionalism, selected on the basis of their high loading on three R—type traditional— ism factors , served as observations . Factors culled from this analysis represented groupings of individuals around a comon syndrore of char- acteristics (in this case the 20 traditionalism measures). Thus, a _R' ‘1” - Its. ____.._‘ ,__.— factor represented a type of person. A WRAP computer program assigned weighted scores for each of the 20 variables for each subject assigned with a given typology (factor). The higher the factor loading of a subject the greater was the assigned weighted score. These weighted Ian-u-"— 1".“ k” ‘ '1.-— V . values were summed across each variable separately, and, the arrays of weighted values were converted to Z-scores . Data-Analysis: Stage IV At Stage IV attention was directed at the relationship between dimensions of traditionalism and communication behavior, as well as the relationship between traditional "people" typologies and communica- tion behavior. At this juncture a zero-order correlation analysis was conducted between R—type factors and a number of communication vari- ables, such as mass media exposure and credibility, cosmopoliteness and change agent contact. Analysis of variance was also employed in order to measure differences in commmication behavior among typologies of traditionals identified by the P—factors. In each of these analyses R- and P-type factors served as variables . Data-Analysis: Stage V Stage V attended to the relationship between factors culled from R-type and P-type factor analysis . Attention was also directed at lb. Ml colparisons in the relationships that R-type and P—type factors ex- hibited with indices of communication behavior. Figure III-1 provides a diagrammatic illustration of the different stages involved in the present St I Initial selection of 65 variables, and submission to zero-order correlation and regression analyses. St all data analysis . ““‘T - 1"- M“: ‘I'L’d— ‘I A"'Q¢' ,An—I—~__— 19 variables deleted from further analysis. é I—)26 variables retained and W Stage III 100 variable P-type factor analysis utilizing a random sample of 100 traditionals sampled from the 1,307 respondents. Typologies are assigned Z—scores, via WRAP program, for each of 20 tra- <— ditionalism variables selected on the basis of their high loading in factors culled from the Stage II R—type factor analysis. Stage IV Zero-order correlation analysis (serving as variables) and 20 communication var- 4 iables. Also, analysis of variance of differences in communication behavior among P—type factor typologies of traditionals . Stage V Conparison and contrast of the findings achieved at each of the above data-analysis stages. 6 _.._... II . r .. submitted to R-type factor analysis. 20 communication variables retained for later analyses . of R-f actors Figure III-l. Flow chart of the data analysis methodologI. CHAPTER IV FINDINGS AND DISCUSSION: PART ONE It is futile to attempt to treat this interaction between communication and economic development as a causal relationship and isolate the Chicken from the egg. The interaction is constant and cumulative. 7*‘1! -;«~ - n-K l (Rao, 1963, p. 35) l r T ! DataeAnalysis: Traditionalism and Communication in Brazil 1 DatawAnalysis: Stage I Sixty-five traditionalism.and communication variables were used in the computation of suCh basic statistics as the mean, standard deviation, skewness and kurtosis. .A zero-order correlation matrix and a regression analysis (mass media exposure served as the dependent variable) was also obtained for all of these variables. On the basis of these statistical procedures and fOur retention-deletion criteria, outlined in Chapternlll, 26 traditionalism.variables were submitted to R-type factor analysis and 20 communication variables were retained for use in later analysis. DatawAnalysis: Stage II A.three-factor solution.was obtained on the third rotation of an R—type factor analysis utilizing principal axis varimax:rotations* * .A factor rotation is a mathematical means of viewing data 42 V- I!“ ,— Ia -- H J ’l “I us and a Kiel-Wrigley criterion of three for termination. * The selection of the third rotation was based on three criteria: (1) maximization of variance explained, (2) purity of factor loading and (3) conceptual clarity. The strongest factor, accounting for 19.81 per cent of the ex- plained variance and entitled "socioeconomic-aChievements," included 11 variables: FUnctional literacy, use of agricultural facilities, po- litical knowledge, farm income, commercialization, farmlsize, innova- tiveness, adoption percentage, socioeconomic status, attitude toward credit and status inconsistency. A second factor, accounting for 10.96 per cent of the explained variance and entitled "modern attitudes ," contained 8 variables: Occupational aspiration for son, economic know- ledge, counterfactuality, opinionatedness, need aChievement, risk orientation, social participation and empathy. The last factor, ac- counting for 10.13 per cent of the explained variance and entitled "community leadership," included only three variables: Mention as a best friend, agricultural influence, and opinion leadership. Table IV-l lists each variable, its factor loading and the proportion of total variance explained by each factor. K . . . . . the from.a variety of perspectives With the ultimate goal of reduc1ng . data to its simplest factor structures. The present analy31s utilized orthogonal rotations whiCh require independence between any two factors. Thus, the correlation between any two factors was zero. *The Kiel-wrigley criterion terminates the rotation of factors When the last factor is comprised of only three variables. The cri- terion of at least three variables in eaCh factor helped to insure factor stability. nu Table IV—l. R-Factor Loadings on Traditionalism Item.Correlation with Factors I II III Traditionalism. Scale Socio- Scale Itenl Item economic ' Modern Community Number* (Abbreviated) .Achievements Attitudes' 'Leadership 1. Occupational aspiration for son .2441 .4242 .0216 2. Functional literacy ‘ .4313 .2835" .0357 3. Economic knowledge .2916 .5081 .0702 4. Use of agricultural facilities -;l425 . .0838 5. Political knowledge .5808' .2753 .1100 6. Painlincome .7806' .1832 .1717 7. Commercialization .2753 .0670 .0239 8. Farm Size . 7184 -.1079 .1211 9. Mention as best friend .1818 .0852 .7966 10. Counterfactuality .2863 .7242 .0524 ll. Opinionatedness -.0330 .5440 -.0234 12. Innovativeness .5125 .1303 .2473 13. Adoption percentage .6269 .2649 .1215 14. Socioeconomic status .8013 .1454 .0492 15. Agricultural influence .2572 .0549 .9148 16. Status inconsistency .9346 .0913 .1387 17. Need adhievement -. .4992 .0126 18. Risk orientation .0530 .3333 .2338 19. Social artici ation .0654 . . 20..Attitudg towarg credit .6684 .0796" .1751 21. Opinion leadership .2394 .0694 .9080 22. Empathy .2488 .7080 .0704 Proportion of the total variance e lained by eaCh 0 factor Xp 19.81% 10.96% 10.136 * 0 Three variables (age, attitude toward future, and source of'income) failed to load highly on any factor and thus were dropped from further analysis. Figures IV-1, IV-2, and IV-3 present three traditionalism factors obtained from the R-factor analysis of Brazilian farmers. The factor in eaoh figure was diagrammed in.weblike faShion in order to illustrate the interdependent relatedness of variables within the 45 /Ws»e of agricultural facilities <-.14‘>| 8 I)? '\ -.09 /Emidig;§um egg] \ .19 -l .22 i t [lmovativeness (.5l)1 1V r \ '3 '17 .40 . ¢ A7/‘1Ad0ptlonjercentage (,6371 f r .35 l:/mat7m\: LSocioeconorn102 status (. 80716—59 4LFarm income (. 7871 K3 :\’L8tatus incons15tency (. 9471A//6 .58 :\1 Attitude toward credit (. 67)1£/:: .40 ::\) thtical knowledge (. 5831/ .41 w \LFunctional literacy ( .433] /2 Percentage of total variance explained = 19.8% Figure IV—l. Factor I: Socioeconomic achievements. 46 \ \ ‘\ .08...——-———--""“) [SomaIpartiCi ClEa‘tl on (.30)1<-.\\ 12 \\ L 25 ”[Oocupational aspiration for son (. 43)] 1 \30 .18 A5-————'“‘* LFconomic knowledge (. 5151<-~N~\- 36 LCountertEctualig I. 7371< .59 __>, f a y .22"1 8[\ [Opinionateciiess (. 55)1/ “F' 13 2N greed aanievement (. sun/'28 .16 1 . 19 21\) LRisk orientation (.4071/ Percentage of total variance explained = 11.0% Figure IV-2. Factor II: Modern attitudes. LAgricultural influenceT.927 <———. 92 -—->LUplnlon ieacEréiip (. 9D1 /I .68 .64 /l en ion as a Best friendeg Percentage of total variance explained = 10.2% Figure IV-3. Factor III: Community leadership. 47 factor. Thus , alteration of any variable is likely to result in changes throughout the factor until a state of equilibrium is established. The illustrative technique of presenting factors as "webs" was borrowed from Ascroft's (1969, p. 334) study of the process of modernization in traditional settings .* He noted: Each system of variables within a factor is diagram— matically analogous to a spider web with the zero- order correlations representing juncture points in the web , and the factor loadings representing the distance of any juncture point from the center of the web. One can envisage changes in the stresses on all other strands that would be caused by alter- ing the stress on any one strand. In the three traditionalism factor webs, (socioeconomic achievements , modern attitudes and community leadership) 9 Variables with the highest factor loadings were placed in the center of the web with variables arranged around them in order of diminishing correlations with their respective factors. The loading of each variable with its factor was shown in parentheses. Also, zero-order correlation coefficients be- tween many of the measures were presented. Data-Analys is: Stage III This juncture of the data-analysis focused on empirical ident- ification of traditional typologies of individuals . A random sample of 100 subjects was drawn from the 1,307 respondents originally sampled. These subjects, in terms of their scores on 20 to 22 measuresM which :8 Ascroft (1969) used factorial webs to diagrammatically compare and contrast modernization variables in traditional and in modern Colombian villages. Two of the 22 measmes utilized in the construction of three R- WPe traditionalism factors were deleted from the P—type factor analysis " avq”*s-"* .-_-_:l l- ‘ ——bfi 'I - i i '1 Vflnwfl‘_‘u~‘-" m “murmlh. 48 comprise the core of the three previously—discussed R—type traditionalism factors, were submitted to P-type factor analysis. .A three factor orthogonal solution.Was obtained on the second of nine varimax rotations. In this principal axis solution a Kiel— Wrigley termination criterion of three was employed to insure factor stability. Selection of the second rotation was based both on amount of variance explained and purity of factor loadings. Tables IVLZ, IV—3, and IV-4 give the assignments of subjects to each of the three factorial typologies of traditionals. Allocation of respondents to typologies was guided by two arbi- trarily set criteria. .A sUbject was assigned to a factor if his loading or factor coefficient, which may be viewed as a measure of correlation with the typology score, exceeded .40 and was less than .40 on all other factors. A subject was also assigned to a factor if his squared factor loading approached his communality (hz) on all factors. Respondents were allocated to specific factorial typologies if they met one or both of these criteria. Respondents who did not meet one of these criteria were considered indeterminant and are listed along with their factorial loadings on eaCh factor in Table IV-S. h due to their peripheral loadings. The two variables deleted were (1) use of agricultural facilities, and (2) commercialization'with factor loadings of -.l475 and .2753, respectively, in Factor I, socioeconomic aChievements. i. In. 11.1.. ‘.'_2-.._' " am. [1’1“ L'Pt. ,'-' . ' 49 Table IV-2. Highest Loading on Factor I in P-Type Three—Factor Solution Subject Factor Highest Highest Identifi- Loadings Other Other Commun-2 cation on Type I Loading, Type alitth 2 .5881 -.1570 II 37 3 .3956 -.O449 III 16 6 .5766 -.4126 III 67 8 -.4000 —.0851 III 17 12 .4460 .1231 II 22 14 .6327 —.3817 II 56 22 -.6387 .4061 III 61 24 .6377 -.4789 III 64 29 .4437 .3367 III 31 32 .4649 —.3071 III 31 34 -.5747 .3165 III 45 35 -.4276 -.2709 II 32 43 —.4304 —.1689 III 23 45 -.4350 .0884 III 20 46 -.6700 .3836 III 61 47 -.7555 .2427 III 64 50 -.4619 —.3534 II 35 51 -.7917* .2214 II 70 53 -.6301 .1897 III 43 57 -.5225 .2182 II 33 60 -.3550 .0984 III 14 64 -.3040 -.0508 II 11 67 -.6983 .1565 III 43 73 .4608 .2874 III 30 78 .4113 -.0141 III 17 79 —.4927 -.2341 II 31 80 .3053 -.1677 III 14 83 .5255 .1223 III 29 87 .7744 .1719 II 63 90 -.7512 -.2059 III 63 91 -.6392 .3133 III 54 92 —.6133 .3286 II 49 93 —.6889 -.3441 II 64 98 .3308 -.0508 III 12 99 .5147 .2905 III 37 N = 35 * . Highest loading on Factor I. Percentage of total variance explained = 14.8% . I! ra. nbfi_h-u‘—m ”ml-g- A..n.-—-L..____.l 50 Table IV-3. Highest Loading on Factor II in P-Type Three-Factor Solution Subject Factor Highest Highest Identifi- Loadings Other Other Commun-2 cation on Type II Loadingpk Type ality h 1 .4969 .1711 I 28 4 .4359 -.2574 III 30 5 .7152 -.5356 III 80 9 -.5389 -.2526 I 40 13 -.5877 .0757 I 36 15 .3721 -.1905 III 20 20 .3566 -.2028 I 21 36 .3182 -.1555 III 13 41 .5836 .2428 III 45 42 .6387 .2100 III 46 48 -.6399 .2296 I 48 55 -.4988 -.2235 III 30 56 .4890 .3431 I 38 58 .4168 .1164 I 19 66 .6183 .4175 III 58 68 ~.3618 .1188 I 15 69 —.6087 -.0959 I 38 76 .6389 .4649 I 63 81 _ -.2922 .0949 I 14 82 .4422 .1307 I 22 84 .3023 -.1762 I 13 85 .3977 -.1000 I 17 86 -.6792 -.2275 I 52 89 .4314 .2554 III 25 94 .5442 .2719 I 41 95 -.7872* —.1932 I 66 N = 26 Percentage of total variance explained = 11.6% * Highest loading on Factor II. 51 Table IV-4. Highest Loading on Factor III in P-Type Three-Factor Solution Subject Factor Highest Highest Identifi- Loadings Other Other Commun-2 cation on Type III Loading - Type ality h 18 -.7380 .2114 I 60 19 .6065 -.4532 II 58 23 -.5843 -.3964 II 54 25 -.6881 .1030 I 49 27 -.4576 -.2951 II 31 31 -.5654 .1755 I 36 38 -.4394 -.3315 I 31 40 .3061 .1715 I 13 49 .6111 .1999 I 43 63 .5111 .4090 I 51 65 -.5809 .2710 II 43 70 .4547 -.3625 II su 71 .6080 -.5187 I 65 72 .6539 -.4826 I 82 74 .6194 -.4354 II 69 75 .7547* .1174 II 59 77 .5633 -.4366 II 66 88 .3403 .1667 II 17 97 -.6814 -.1785 II 50 100 -.5662 .0716 II 33 N = 20 Percentage of total variance explained = 11.596 2: Highest loading on Factor III. On the basis of the two subject placement criteria, 19 out of the 100 randonly-selected subjects failed to load exclusively on any one of the three factors. Table IV-5 lists these indeterminant subjects, their . . 2 loadings on each of the three typologies and their communality (h score) across all factors. 52 Table IV-S. Indeterminant Subject Loading in P-Type Three-Factor Solution _ Subject Identifi— Comm- cation Iype I Type II Type III ality (112) 7 .2528 -.2332 -.2019 16 10 .2502 -.0131 -.2156 40 11 -.2867 .3412 -.2629 27 16 -.4579 -.2244 -.3735 40 17 .1283 .2466 -.0088 8 21 .2691 .2729 -.2455 21 26 .0481 -.1582 -.l877 6 28 -.1519 -.4438 -.4233 40 30 .0993 -.2447 -.1200 8 33 -.2227 -.3353 -.3263 27 37 .1837 —.3121 -.2453 19 39 .5650 —.4658 .0882 55 44 -.4087 .2631 .4760 46 52 -.0531 -.4688* .4639 44 54 -.3606 -.4536 .4911* 58 59 -.6565* -.3136 .4866 77 61 -.3037 -.2997 .0742 19 62 -.0566 .4543 .4635 43 96 .3016 -.0883 -.3639 23 N = 19 * o O 0 Highest factor loading, on eaCh typology, fOr indeterminant subjects. Interpretation of P-Factor Typologies .A oomputer*progran1(WRAP) was utilized in ascribing character- istics to those individuals defining each of the three P—factor typ- ologies. variables, or observations used in assigning individuals to typologies, for'each subject associated with a given factor. The higher the factor loading of a respondent, the greater'was his weighted score. The WRAP program.oomputed.weighted scores fOr eaCh of the 20 These weighted values were summed across each variable separately, and these . 11.43325] arrays of weighted values were converted to Z—s cores . 53 Table IV—6 pro- vided arrays of Z—scores for each of the P—factor typologies for the 20 variables . Table IV-6 . WRAP Interpretation of P-Factor Typologies Name of Variable Type I Type II Type III 1. Occupational aspira— tion for son 1.11 (high) -0.45 (low) 0.56 (medium) 2. Functional literacy 0.88 (high) —2.12 (low) -0.66 (medium) 3. Economic knowledge -0.17 (low) 2.12 (high) 0.58 (medium) 4. Political knowledge -0.20 (high) -—0.52 (low) -0.30 (medium) 5. Family income -l.20 (low) -0.60 (high) -0.91 (medium) 6. Commercialization -0.99 (low) -0.22 (medium) -0.01 (high) 7. Mention as best friend -0.33 (low) -0.05 (medium) 0.72 (high) 8. Counterfactuality 1.04 (high) 0.76 (medium) -0.72 (low) 9. Opinionatedness 1.11 (1cm) 1.18 (medium) 1.33 (high) 10. Innovativeness -0.93 (low) -0.25 (high) -0.66 (medium) 11. Adoption percentage -0.76 (medium) 0.86 (high) -l.27 (low) 12. Socioeconomic status -1.38 (low) —0.59 (high) -1.35 (medium) 13. Agricultural influence -0.41 (low) 0.21 (medium) 0.62 (high) 14. Status inconsistency -l.45 (low) -0.55 (high) -l.05 (medium) 15. Need achievement 1.49 (high) -0.89 (low) 0.03 (medium) 16. Attitude toward credit 1.45 (medium) 1.99 (high) 0.22 (low) 17. Rish orientation 0.31 (medium) -0.70 (low) 3.00 (high) 18. Social participation -0.67 (medium) -0.97 (low) -0.60 (high) 19. Opinion leadership —0.43 (low) 0.14 (medium) 0.62 (high) 20. Empathy 1.54 (high) 0.66 (medium) -0.15 (low) On the basis of WRAP interpretations of P-type factors three traditional typologies emerged . Typology labels refer to the area in which individuals defining each typology have progressed the farthest toward modernity . su Type I: .Attitudinally Mbderns Individuals defining this type were Characterized by high oc— cupational aspirations for their eldest son, extensive political know- ledge, and a high degree of empathy. They received the highest fUnctional literacy scores, and.were high in need adhievement and counterfactuality. On the other hand, they were low on economic knowledge, family income and commercialization. They were the least mentioned as a.best friend, and.were low in socioeconomic status, agricultural influence and opinion leadership. They were also low in opinionatedness, innovativeness and status inconsistency. They re- ceived medium scores in adoption percentage, attitude toward credit, risk orientation, and opinion leadership. Type II: Economic.Achievers Traditionals defining this type were distinguished by high socioeconomic status, family income, adoption percentage and innova- tiveness. They were high in attitude toward credit, economic know- ledge and status inconsistency. HOwever, they had low scores on functional literacy and political knowledge. They were also low in risk orientation, need for achievement, social participation and oc— cupational aspirations for eldest son. Their scores ranked medium on mention as a best friend, agricultural influence, opinion leaderShip and empathy. They were medium on degree of commercialization, ability to hold contrary-to—fact inquiry, and opinion holdership. 55 Type III: CommunitLLeaders Individuals describing this type were distinguished by high agricultural influence, opinion leadership, social participation, and mention as a best friend. They were also high on commercialization, Opinionatedness , and ri sk orientation . Yet , they were low on adoption percentage , attitude toward credit , empathy and counterfactuality. Type III individuals were found in the middle range of the twenty vari- ables more often than either of the other two types. They were ranked medium in functional literacy, economic knowledge, and political know- ledge. They were also medium on indices of socioeconomic status , family income, need for achievement, occupational aspirations for eldest son, innovativeness, and status inconsistency. The three P—factor typologies closely parallel the three de- scriptive traditionalism dimensions arrived at by R-type factor analysis. Table IV-7 illustrates the close relationship between the R-factors of traditionalism and P—factor typologies of traditionals . ' Type I individuals were relatively high in modern attitudes, especially in regard to measures of empathy and need for achievement, but quite low in leadership. They were moderately low in socioeconomic achievements. Type II individuals were moderately high on socioeconomic achievements , moderately low on modern attitudes and quite low on the leadership dimension. Type III individuals were quite high on the leadership dimension , moderately high on characteristics indexing H‘Odern attitudes , especially risk orientation , and moderately low on socioeconomic achievements . The three typologies seemed to represent about the same degree of tradi tionalism. However , they were character- 56 mmgoom gOpomm-i emmflepmecmpm empemflmz 900000004 gopume 0am mmanmenm> maseum «5.0 00.0: 00.0-A00.v unmanm pmmn 0 mm coapcmz .0m No.0 :H.o m:.0l AHm.v owzmememma COfiCfioo .mH mflcmhmemmq 00.0 Hm.0 H:.0- AN0.0 mocmsaecn Hmnspasoenw< .0H spficzsaco .HHH oo.m 00.0: Hm.o Ao:.v coflvmwcmeno Xmflm .0H 00.0- a0.0- s0.0- A0m.0 coflpmaflofiynma Hmnoom .0H mo.o mm.on m:.H Aom.v pomew>mflcom how emmz .mH 00.0 03.0- HH.H Am:.0 com pmmeam 90% cowumnwomm Hmcoflpmooooo .3H 0H.H 0H.H HH.H .Amm.v mmmcememcoacflao .mH mm.o NH.N 0H.on AHm.V mmemazocx_ofleocoom .ma mH.ot 00.0 :m.a Aae.v >cymosm .HH woesyfipe< 05.0- 05.0 :0.H Ama.0 spflamspomenmpcsoo .0H 09000: .HH 00.0- NH.N- 00.0 103.0 aumnmpfia accompucse .0 00.0- 00.0- 0N.0- Amm.c mmemfizocx savannaoi .0 00.0: 00.0- 00.0: AH0.0 mmmcm>fiem>occH .5 00.0 00.H 0:.H Aa0.0 yflemno egmzov meseflpn< .0 eN.H- 00.0 05.0- A00.V mmme:mogma conpaoe< .m mo.Hn mm.on m:.Hu Asm.v mocmpmflmcoocfl mopmpm .: H0.0- 00.0- 00.0- A00.0 coflmeflHmflonmssoo .m H0.0- 00.0: 0N.Hn Ame.v msoocfiiesmm .0 mpcmsm>mecq< mm.fiu 00.0: mm.flu A00.v mspmpm oneocoomOfloom .H vasomoowofloom .H HHH ooNH I.IHH.mmNH ....H,mm>H_ Ammmmcwcmnmm ch mQOPomm woNHLm mmHMOHOQXH Hmcoapaomhe mo mmgoom eoNHcAMUQMPm ompcMHmB new moapmahmwomnmcu HmcoapHcMLH Mo mcoamcmeam .hl>H mHQMB 57 ized.by different modernization skills. Type I individuals were dis- tinguished by modern attitudes, Type II individuals were high in socio- economic aChievements, while Type III individuals excelled in community leadership. Type I individuals were handicapped on leadership, Type II individuals suffered the restraints of traditional attitudes and Type r‘”n III individuals were characterized by low socioeconomic adhievements. DatazAnalysis: Stage IV This stage of the data-analysis attended to the relationship {D -.uwgm“ merit-Iv r \ . I between communication behavior and both (1) traditionalism, and (2) traditional typologies of individuals. In each case six general and numerous empirical hypotheses were tested. Correlational analysis pro- vides measures of relationship between two or more variables. Table IV-8 provides the results of a zero-order correlational analysis in which the three traditionalism factor scores (socioeconomic adhievements, modern attitudes and community leadership) were considered as independent vari- ables. In this analysis 19 communication measures served as dependent variables. GH 1: Exposure to mass media communication channels is negatively related to traditionalism,* EH l-la: Newspaper readership is_positively related to socioeconomic aChievements factorHWEIghted scores. Table IV-8 shows that newspaper readership is correlated .295 with the socioeconomic aChievements Retype factorial dimension of tra- ditionalism. This correlation is greater than the .134 required for Significance at the l per cent level. The empirical hypothesis is accepted. * . Support fer a general hypothesis depends on acceptance of a majority of the empirical hypotheses which test it. 58 Table IV-8. Zero~0rder Correlations Among Dimensions of Traditionalism and Communication Variables Number of Socio— Com- Empirical economic munity HypotheSIS Communication Achieve- Modern Leader— Tested Variables*** ments Attitudes ship EH l—la-c Newspaper readership .295** .262** .105* EH 1-2a—c Radio listening .309** .196** .146** EH 1—3a-c Cinema viewing .159** .154** .083 EH l-4a-c Television viewing .319** .268** .125* EH 1-5a—c Mass media exposure scores .222** .l87** .116* EH 2-1a-c Cosmopoliteness scores .210** .132* .074 EH 3-la—c Change agent contact .293** .157** .182** EH 4-1a-c Total number'of agricultural news channels .506** .278** .285** EH 5-la-c Channels of agricultural news: radio .312** .l78** .156** EH 5-2a—c Channels of agricultural news: newspapers .346** .210** .144** EH 5-3a—c Channels of agricultural news: magazines .367** .253** .251** EH 5-4a—c Channels of agricultural news: .ACAR bulletin .385** .113* .204** EH 5-5a—c Channels of agricultural news: extension agent .348** .197** .238** EH 5-6a—c Channels of agricultural news: neighbor .156** .068 .094 EH 6-la-c Credibility of radio .084 .023 .082 EH 6-2a-c Credibility of newspaper .137** .019 .081 EH 6—3a—c Credibility of extension agent .375** .l85** .200** EH 6-4a-c Credibility of neighbors .049 .018 -.057 EH 6-5a-c Crediblity scores of mass media .155** .030 .121* 9: kid: positive correlations between communication variables and Retype factor Significantly greater than zero at the 5 per cent level (a correlation of .095 is significantly different from zero). * Significantly greater than zero at the 1 per cent level. Eadh of the dimensions of traditionalism.is measured in terms of its degree of progress toward modernity, from less to more modern. Hence, scores of tradionalism, lends support to the posited hypotheses. E --_. w. ___.__.r ..—_x.. a u—‘I-n' f r. 59 EH l-lb: Newspaper readership is positively related to modern attitudes factor-weighted scores . Table IV-8 shows that newspaper readership is correlated .262 with the modern attitudes R-type factorial dimension of traditionalism. This correlation is greater than the .134 required for significance at the l per cent level. The empirical hypothesis is accepted. EH 1-1c: Newspaper readership is_positively related to community leadership factor—weighted scores . "——H .3 I Table IV-8 shows that newspaper readership is correlated .105 with the community leadership R-type factorial dimension of traditionalism. This correlation is greater than the .095 required for significance at the 5 per cent level. The empirical hypothesis is accepted. [-.‘h IM“M um- L -- EH l-2a: Radio listening is positiver related to socio- economic achievements Tactor—wei @ted scores . Table IV-8 shows that radio listening is correlated .309 with the socioeconomic achievements R-type factorial dimension of traditionalism. This correlation is greater than the .134 required for significance at the l per cent level. The empirical hypothesis is accepted. EH l-2b: Radio listening is positively related to modern attitudes factor-weighted scores . Table IV-8 shows that radio listening is correlated .196 with the modern attitudes R—type factorial dimension of traditionalism. This cor- relation is greater than the .134 required for significance at the 1 per cent level. The empirical hypothesis is accepted. EH l-2c: Radio listening is positively related to community leadership factor-wefghted scores . Table IV-8 shows that radio listening is correlated .146 with the community leadership R—type factorial dimension of traditionalism. This correlation is greater than the .134 required for significance at the l per cent level. The empirical hypothesis is accepted. 60 EH l-3a: Cinema attendance is positively related _ to socioeconomic achievements factor- weighted”sc0res. Table IV-8 shows that cinema attendance is correlated .159 with the socioeconomic achievements R—type factorial dimension of traditionalism. This correlation is greater than the .134 required fOr significance at the 1 per cent level. The empirical hypothesis is accepted. EH l-3b: Cinema attendance is positively related to modern attitudes factor-weighted scores . Table IV-8 shows that cinema attendance is correlated .154 with the modern attitudes R-type factorial dimension of traditionalism. This correlation is greater than the .134 required for significance at the l per cent level. The empirical hypothesis is accepted. EH l—3c: Cinema attendance is positively related to community leadership factoreweighted scores. Table IV-8 shows that cinema attendance is correlated .083 with the community leadership R—type factorial dimension of traditionalism. This correlation is not greater than.the .095 required for significance at the 5 per cent level. The empirical hypothesis is not accepted. EH l-4a: Television viewing is_positively related to socioeconomic achievements factoreweighted scores. Table IV-8 shows that television viewing is correlated .319 with the socioeconomic achievements Retype factorial dimension of traditionalism. This correlation is greater than the .134 required for significance at the l per cent level. The empirical hypothesis is accepted. EH l-4b: Television viewing is pgsitively related to modern attitudes factoreweighted scores. Table IV-8 shows that television viewing is correlated .268 with the modern attitudes R—type factorial dimension of traditionalism. This r“.- rowan...»- _ _ — ‘ 7T-'_‘I"l_‘! i ‘R [F’d .-_ J‘ V_. 61 correlation is greater than the .134 required for significance at the l per cent level. The empirical hypothesis is accepted. EH l-4c: Television viewing is positively related to community leadershiLfactor—weighted scores . Table IV-8 shows that television viewing is correlated .125 with the community leadership R-type factorial dimension of traditionalism. This correlation is greater than the .095 required fOr significance at the 5 per cent level. The empirical hypothesis is accepted. EH l—Sa: Mass media exposure scores are_positively relatetho soCIBeconomic achievements factoreweighted scores. Table IV-8 shows that mass media exposure scores are correlated .222 with the socioeconomic achievements R-type factorial dimension of traditionalism, This correlation is greater than the .134 required for significance at the l per cent level. The empirical hypothesis is accepted. EH l—5b: Mass media exposure scores are positively related to modern attitudes factor-weighted scores. Table IV—8 shows that mass media exposure scores are correlated .187 with the modern attitudes R—type factorial dimension of traditionalism. This correlation is greater than the .134 required for significance at the l per cent level. The empirical hypothesis is accepted. EH l-5c: Mass media exposure scores are positively related to community leadership factor- weighted scores. Table IV-8 shows that mass media exposure scores are correlated .116 with the community leadership R-type factorial dimension of tra- ditionalism, This correlation is greater than the .095 required fer I m1 ‘fl R... ' s"? 62 significance at the 5 per cent level. The empirical hypothesis is accepted. Fourteen of the 15 empirical hypotheses were accepted, so General Hypothesis 1 is supported. Mass media exposure is negatively related to traditionalism. GH 2: Cosmopoliteness is negatively related to traditionaliSm. EH 2-la: Cosmopoliteness scores are positively related to socioeconomic aChievements factoreweighted scores. Table IV-8 shows that cosmopoliteness scores are correlated .210 with the socioeconomic achievements R-type factorial dimension of traditionalismn This correlation is greater than the .134 required for significance at the l per cent level. The empirical hypothesis is accepted. EH 2-lb: Cosmopoliteness scores are positively related to modern attitudes factor- weighted scores. Table IV-8 shows that cosmopoliteness scores are correlated .132 with the modern attitudes Retype factorial dimension of traditional- ism. This correlation is greater than the .095 required for significance at the 5 per cent level. The empirical hypothesis is accepted. EH 2-lc: Cosmopoliteness scores are positively related to communipy leadership factor- weighted scores. Table IV-8 shows that cosmopoliteness scores are correlated .074 with the community leadership R-type factorial dimension of tra- ditionalismn This correlation is not greater than the .095 required fer significance at the 5 per cent level. The empirical hypothesis is 63 not accepted. Two of the 3 empirical hypotheses were accepted, so General Hypothesis 2 is supported. Cosmopoliteness is negatively related to traditionalism. GH 3: Change agent contact is negatively related to traditionalism, EH 3-la: Change agent contact is positively related to socioeconomic achievements factoreweighted scores. Table IV-8 shows that change agent contact is correlated .293 with the socioeconomic achievements R-type factorial dimension of tra- ditionalism. This correlation is greater than the .134 required for significance at the l per cent level. The empirical hypothesis is accepted. EH 3-lb: Change agent contact is positively related to modern attitudes factor- weighted scores. Table IV—8 shows that change agent contact is correlated .152 with the modern attitudes R-type factorial dimension of traditionalism. The correlation is greater than the .134 required for significance at the 1 per cent level. The empirical hypothesis is accepted. EH 3-lc: Change agent contact is positively related to community leadership factoreweighted scores. Table IV-8 shows that change agent contact is correlated .182 with the community leadership Retype factorial dimension of traditional- ism. This correlation is greater than the .134 required for significance at the l per cent level. The empirical hypothesis is accepted. O,- [)1 9‘ ‘u "I l. In; 4 64 .All three empirical hypotheses were accepted, so General Hypothesis 3 is supported. Change agent contact isnegatively related to traditionalism. GH 4: The number'of communication channels used for ppnovation information 18 negativer reIated to traditionalhgp. EH 4-la: The number of communication channels used for*innovation information is sitivel related to socioeconomic a levements actor-weig te scores. Table IV-8 shows that the number of communication channels used fer innovation information is correlated .506 with the socioeconomic achievements R-type factorial dimension of traditionalism. This correla- tion is greater than the .134 required for significance at the 1 per cent level. The empirical hypothesis is accepted. EH 4-lb: The number'of communication channels used for innovation information is positively related to modern attitudes factorbweighted scores. Table IV-8 shows that the number of communication channels used fer innovation infermation is correlated .278 with the modern attitudes Retype factorial dimension of traditionalism. This correlation is greater than the .134 required for significance at the l per cent level. The empirical hypothesis is accepted. EH 4-lc: The number~of communication channels used foriinnovation information is posrtively related to community leadership factorh weighted scores. Table IV-8 shows that the number of communication channels used for innovation information is correlated .285 with the community leader— Ship Retype factorial dimension of traditionalism. This correlation is greater than the .134 required for significance at the l per cent level. 65 The empirical hypothesis is accepted. .All three empirical hypotheses were accepted, so General Hypothesis 4 is supported. The number of communication channels used for innovation information is negatively related to traditionalism. GH 5: Greater exposure to interpersonal, rather than mass media, Channels in the communication of innovations is positivély related to traditionalism. EH 5-la: Radio exposure in the communication of ihnovaiions is positively related to socioeconomic achievements factor- weighted scores. Table IV—8 shows that radio exposure in the communication of innovations is correlated .312 with the socioeconomic achievements Retype factorial dimension of traditionalism. This correlation is greater than the .134 required fOr significance at the l per cent level. The empirical hypothesis is accepted. EH 5-1b: Radio exposure in the communication of innovations is_positively related to modern attitudes factorfweighted scores. Table IV-8 shows that radio exposure in the communication of innovations is correlated .178 with the modern attitudes R-type factorial dimension of traditionalism. This correlation is greater than the .134 required for significance at the 1 per cent level. The empiricalluw- pothesis is accepted. EH 5-lc: Radio expospre in the communication of ihnovations is positively related to community leadership—factoreweighfed scores. 'Table IV—8 shows that radio exposure in the communication of innovations is correlated .156 with the community leadership Retype factorial dimension of traditionalism. The correlation is greater than u L_51 m a“ ‘& - 'l .. . 66 the .134 required.for significance at the l per~cent level. The emr pirical hypothesis is accepted. EH 5—2a: Newapaper exposure in the communication offlinnovations isipositively rElated to socioeconomic achievements factor-II— weighted scores. Table IV-8 shows that radio exposure in the communication of innovations is correlated .346 with the socioeconomic achievements R-type factorial dimension of traditionalism. This crrrelation is I ~ — ~———-*-—--1 ;—.A-.J-u:‘ a, ——-———-k greater than the .134 required for significance at the l per cent level. frA‘c-thr: ‘I '.‘_ 1 ' - . u The empirical hypothesis is accepted. EH 5-2b: Newapaper egposure in the communication 6f"innovations:is positively related to modarn attitudes factoreweighted'scores. Table IV—8 shows that newspaper exposure in the communication of innovations is correlated .210 with the modern attitudes Retype factor- ial dimension of traditionalism. This correlation is greater than the .134 required fOr significance at the l per cent level. The empirical hypothesis is accepted. EH 5—2c: Newspaper exposure in the communication of of innovations is positively related to community leadership factoreweighted scores. Table IV—8 shows that newspaper eXposure in the communication of innovations is correlated .144 with the community leadership dimension Of traditionalism” This correlation is greater than the .134 required fOr significance at the l per cent level. The empirical hypothesis is accepted. 1 EH 5—3a: Magazine exposure in the communication of innovationsiisopositivaly related to soEio- economic achievements factoreweighted scores. 67 Table IV—8 shows that magazine exposure in the communication of innovations is correlated .367 with the socioeconomic achievements R- type factorial dimension of tradtionalism. This correlation is greater than the .134 required for significance at the l per cent level. The empirical hypothesis is accepted. sun: EH 5-3b: Magazine egposure in the communication of innovations is positively related to modern attitudes f actor-wei ghted scores . 17‘.— m .1 I'“ “ a—-—__—!— Table IV«8 shows that magazine exposure in the communication of ) fig ‘1. I innovations is correlated .253 with the modern attitudes R-type factorial .0.- , dimension of traditionalism. This correlation is greater than the .134 required for significance at the l per cent level. The empirical hy- pothesis is accepted. EH 5-3c: Magazine exposure in the communication of innovations is positively related to come munityileaderShiplfactordweighted’scores. Table IV—8 shows that magazine exposure in the communication of innovations is correlated .251.with the community leadership R-type fac- torial dimension of traditionalism. This correlation is greater than the .134 required for significance at the l per cent level. The eme pirical hypothesis is accepted. EH 5-4a: ACAR bulletin exposure in the communication of innovations is positively related to socioeconomic achievements factor-weighted scores. Table IV—8 shows that magazine exposure in the communication of innovations is correlated .385 with the socioeconomic achievements R- type factorial dimension of traditionalism. This correlation is greater than the .134 required fOr significance at the l per cent level. The em- Pirical hypothesis is accepted. 68 EH 5-4b: .ACAR.bulletin exposure in the communication of innovations islpositively'related to modern attitudes factoreweighted'scores. Table IV-8 shows that ACAR.bulletin exposure in the communication of innovations is correlated .113 with the modern attitudes R—type fac— torial dimension of traditionalism. This correlation is greater than F” the .095 required for significance at the 5 per cent level. The emr i a pirical hypothesis is accepted. 5 . .“i'! EH 5—4c: ACAR bulletin egposure in the communication of innovationsiis_positively related to come munipy leadership factoreweighted scores. "fi-L—Pu .4 Table IV-8 shows that ACAR bulletin exposure in the communication of innovations is correlated .204 with the community leadership R-type factorial dimension of traditionalism. This correlation is greater than the .134 required fer significance at the l per cent level. The empirical hypothesis is accepted. EH 5-5a: Extension agant exposure in the communica— iion of innovations is nagatively related to socioeconomic achievements factor- weighteci scores . Table IV—8 shows that extension agent exposure in the communica- tion of innovations is correlated .348 with the socioeconomic achieve- ments R-type factorial dimension of traditionalism. This correlation is greater than the .134 required for significance at the l per cent level; however, the correlation is not in the predicted direction. The empirical hypothesis is not accepted. EH 5-5b: Extension agent exposure in the communica- tion of innovations is negaiively related t6 modern attitudes“factorhweighted scores. 69 Table IV-8 shows that extension agent exposure in the communica— tion of innovations is correlated .197 with the R—type factorial dimen- sion of traditionalismn This correlation is greater than the .134 required for significance at the l per~cent level; however, the correlae tion is not in the predicted direction. The empirical hypothesis is not accepted. EH 5-5c: Extension agent exposure in the communica- tion of innovations is negatively related to community leadership factoreweighted scores. Table IV-8 shows that extension agent exposure in the communica- tion of innovations is correlated .238 with the P-type factorial dimen- sion of traditionalism. The correlation is greater than the .134 required for significance at the l per cent level; however, the correla- tion is not in the predicted direction. The empirical hypothesis is not accepted. EH 5-6a: Exposure to neighbors in the communicae iion of innovations is negatively related socioeconomic achievements factorameighted scores. Table IV-8 shows that exposure to neighbors in the communication of innovations is correlated .156 with the socioeconomic achievements R- type factorial dimension of traditionalism. This correlation is greater than the .134 required for significance at the l per cent level; however, the correlation is not in the predicted direction. The empirical hy- pothesis is not accepted. EH 5—6b: Exposure to neighbors in the communica- dfrinnovations is negatively related to modern attitudes factorhweighted scores. d. (I) v.-- ‘i (I) a- ‘1‘} 9V4 .p- ’- Q... 70 Table IV-8 shows that exposure to neighbors in the communication of inno- vations is correlated .068 with the modern attitudes R—type factorial dimension of traditionalism. This correlation is not greater than the .095 required for significance at the 5 per cent level. The empirical hypothesis is not accepted. EH 5-6c: Exposure to neighbors in the communication of innova- tions is negatively related community leadership factor-weighted scores . Table IV-8 shows that exposure to neighbors in the communication of inno— vations is correlated .094 with the community leadership R—type factorial dimen- sion of 'traditionalism. This correlation is not greater than the .095 required for significance at the 5 per cent level. The empirical hypothesis is not accepted. Our test of General Hypothesis 5 was indirect, i.e. , no direct comparison was made between the sets of correlations . However, we found strong support for the predicted relationship between mass media exposure and the traditionalism factor-weighted scores. All 12 tests were significant in the predicted direction. In our examination of the relationship between interpersonal channel exposure and the traditionalism scores, none of the correlations were in the predicted direc- tion. Thus, we must reject that part of the general hypothesis that exposure to interpersonal channels have higher correlates with traditionalism than eXposure to mass media channels have with modernity. GH 6: Higher credibilin for interpersonal channels, rather than mass media channels , in the communication offiimovations is posi- tiver reiat'eci to traditionalism. EH 6-la: Radio credibility in the communication of innova- tionsis po_sitiT/ely related to sodioeconomic achievements f actor—weighted scores . Table IV-8 shows that radio credibility in the commmmication of innovations is correlated .084 with the socioeconomic achievement R-type factorial dimension Of traditionalism. This correlation is not greater than the .095 required for Significance at the 5 per cent level. The empirical hypothesis is not accepted. VV‘LT " 71 EH 6-lb: Radio credibility in the communica- tion of innovations is positively rEIatedIto modern attitudes factor- ‘weighted scores. Table IV-8 shows that radio credibility in the communication of innovations is correlated .023 with the modern attitudes R-type fac- ‘I‘i torial dimension of traditionalism. This correlation is not greater than the .095 required for significance at the 5 per cent level. The 1-.“ «J-n- ~14 empirical hypothesis is not accepted. EH 6-lc: Radio credibility in the communica- iiOn of innovations is positively related to community_leadershlp factoreweighted’scores. $11 Int-A- . Table IV—8 shows that radio credibility in the communication of innovations is correlated .082 with the community leadership R-type factorial dimension of traditionalism. This correlation is not greater than the .095 required for significance at the 5 per cent level. The empirical hypothesis is not accepted. EH 6-2a: Newspapor credibility in the communica- Iion ofiinnovations isxpositively related to socioeconomic achievements factor- weighted scores. Table IV-8 shows that newspaper credibility in the communication of innovations is correlated .137 with the socioeconomic achievements R-type factorial dimension of traditionalism. This correlation is greater than the .134 required for significance at the l per cent level. The empirical hypothesis is accepted. EH 6-2b: Newspaper credibility in the communica- tion ofiinnovations is positiVely related to modern attitudes factoreweighted scores. 72 Table IV—8 shows that newspaper credibility in the communication of innovations is correlated .019 with the modern attitudes R-type fac- tional dimension of traditionalism. This correlation is not greater than the .134 required.for significance at the l per cent level. The empirical hypothesis is not accepted. EH 6-2c: Newspaper credibility in the communica- tion of innovations is posiiively related to community_leadershipfactorwweighted scores. Table IV-8 shows that newspaper credibility in the communication of innovations is correlated .081 with the community leadership R-type factorial dimension of traditionalism. This correlation is not greater than the .134 required for significance at the l per cent level. The empirical hypothesis is not accepted. EH 6-3a: Extension agent credibility in the come munication of innovations is negativer related'to socioeconomic adhievements factoreweighted scores. Table IV—8 shows that extension agent credibility in the commun- ication of innovations is correlated .375 with the socioeconomic aChieve— ments R-type factorial dimension of traditionalism. The correlation is greater than the .134 required for significance at the l per cent level; however, the correlation is not in the predicted direction. The eme Pirical hypothesis is not accepted. EH 6-3b: Extension agant credibility in the come munication of innovationsiis negatiiely related to modern attitudes factor- weighted’scores. Table IV-8 shows that extension agent credibility in the commun- ication of innovations is correlated .185 with the modern attitudes R- :- Guy-1 tfi-‘WW'tm a .- .- = m" 73 type factorial dimension of traditionalism. This correlation is greater than the .13” required for significance at the l per cent level; however, the correlation is not in the predicted direction. The empirical hypothesis is not accepted. EH 6-3c: Extension agent credibility in the com- munication of innovations is negatively related to community‘leadership factor- weighted scores. Table IV-8 shows that extension agent credibility in the commun— ication of innovations is correlated .200 with the modern attitudes R- type factorial dimension of traditionalism. This correlation is greater than the .lBH required for significance at the l per cent level; how- ever, the correlation is not in.the predicted direction. The empirical hypothesis is not accepted. EH 6—ua: The credibility of neighbors in the come munication of innovations is negatively related to socioeconomic achievements factorhweighted scores. Table IV—8 shows that the credibility of'neighbors in the commun- ication of innovations is correlated -.0u9 with the socioeconomic aChieve- nents R—type factorial dimension of traditionalism. This correlation is not greater than the .095 required for significance at the 5 per cent level. The empirical hypothesis is not accepted. EH B-Mb: The credibility of'neighbors in the come nmfiicatiOn of innovations is negatively related to modern attitudesfifactor- waightEd scores. Table IV-8 shows that the credibility of neighbors in the commun- ication of innovations is correlated -.018 with the modern attitudes R- type factorial dimension of traditionalism. The correlation is not 7H greater than the .095 required for significance at the 5 per cent level. The empirical hypothesis is not accepted. EH 6-uc: The credibility of neighbors in the can- munication of innovations is negatively related to connmmity leadership factor— weighted scoreSJ Table IV-8 shows that the credibility of neighbors in the commun- r‘T ication of innovations is correlated -.057 with the community leadership R-type factorial dimension of traditionalism. This correlation is not 3 greater than the .095 required for significance at the 5 per cent level. i The empirical hypothesis is not accepted. 3 EH 6-5a: The credibility scores of'mass media in the communication of innovations is_posi- tively related to socioeconomic achieve- ments’factoreweighted scores. Table IV—8 shows that mass media credibility scores in the commun- ication of innovations are correlated .155 with the socioeconomic achieve— ments R—type factorial dimension of traditionalism. This correlation is greater than the .134 required for significance at the l per cent level. The empirical hypothesis is accepted. EH 6-5b: The credibility scores of mass media in the communication of innovations is_posi- tively_related to modern attitudes factor- weighted scores. Table IV-8 shows that mass media.cmedibility scores in the commun- ication of innovations are correlated .030 with the modern attitudes R- type factorial dimension of traditionalism. This correlation is not greater than the .095 required for significance at the 5 per cent level. The empirical hypothesis is not accepted. WK “1.“. . .. 75 EH 6-5c The credibility scores of mass media in the com- munication of innovations is positively related to community leaderShipfifactorhweighted scores. Table IV-8 shows that mass media credibility scores in the communication of innovations are correlated .l2l.with the community leadership R—type factorial dimension of traditionalism. This correlation is greater than the .095 required for significance at the 5 per cent level. The empirical hypothesis is accepted. Our test of General Hypothesis 6 was indirect, i.e., no direct comparison was made between the sets of correlations (those for’credibility scores of mass media and those for credibility scores for interpersonal communication Channels). This was due to our lack of a single composite index of mass media Channel cred- ibility and of interpersonal channel credibility. However, 12 of the 15 eme pirical hypotheses were not accepted, so General Hypothesis 6 is not supported. It was not found that higher credibility for interpersonal, rather than mass media, Channel in the communication of innovations is positively related to traditionalism, Traditional Typologies (P-Factors) and Communication Behavior Once traditional typologies are identified, attention may be directed at similarities or differences in their communication behavior. Toward this end, Kean scores were computed for eaCh of three categories of traditional people on 19 communication variables. The three traditional categories of individuals were: (1) attitudinally moderns, (2) economic achievers and (3) community lead- ers. A fourth group were indeterminant subjects.* These levels served to iden- tify attributes most indicative of progress toward modernity in eaCh typology. Table IV-9 presents the results of an analysis of variance performed to test fication whiCh contains those . - ' mixed classi . . 19 subjects who failed to load clearly on one o 76 .pCMOflMchflm who momonwoaxfl Hmoeafloem mew mo moo: mocmm m who eooomgm mo mmmawmo may cogz mm.m ma Hm>ma #cmo 9mm m may we m mo mon> HMOfipfieo mLH « lli .mm 0cm :63 Na Sod ma 263 as so: as 8.0 :03 IMELO%CH soapm>occfi mo COflHMOflczEEOo one CH madmooxm hwmmamzmz NIHH mm 235 m4 Assays HA seams NA 235 :4 8.0 coapmfioufi 8396c ICH mo GOfiPMOflczEEOo we. fl 8585 came T: 5 assumes ma Ensues ma Ewes em 2335 m: 3.0 8m: $386 mzmc awhspaoo -Emm mo he? 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H 95 co 98.52 800m ammz meH Hmcoflwomfib QHEOOV . mI>H mdnmfi. 78 .Pcmofiwflcwflm who mommcwoa>£ HMOflLHoem mew mo mcoc mocmm .mm Dam m who eoowmem mo mmmpwmo may cog: 00.0 we Ho>oa pcmo 9mm m may em m mo moam> HMOflvfipo mgHa Azoav :.H Ewes m: Ewes m .H AggngH ESVTHAEQEVQH Agagonaaaagotfixga%vta Ewes 9N Ems: N.N Ewes ta e0.a coarse Isomcfi cofiem>occfl mo soapmoficneeoo mfi fl 323a Iowan MHUQE mmmz 3.0 coflghoufi cos. Im>occH mo QOHHMOfi nadeeoo esp CH zpfl uflflomfio nonfifimz 0m.0 coawmapowcfl soap IM>0CCH mo soap IMUflcoeeoo mew fi BHBGBO poems deflmcmpxm mImH mm JINH mm mImH mm Ama u 20 mmzH owxflz PcmaflEmemocH B95 A00 u zv A00 n zv Amm u 20 mLQUMmq mhm>mflco<. mcumooz fiasco oaeocoom bamcaefiag HHH mass HH mass H mass whoom com: wmxH Hmcoflpflompe scheme e magmas“; soapmoflczeeoo Umymme mflmmnvoahm $3935 mo amnenz Avwccov mI>H ®HQMH 79 significance of differences among the neans on 19 communication vari- ables forvthe three categories of traditionals, as well as the in- determinate typology. GH 7: Traditional typologies of individuals vary in ness media expoSure. EH 7-1: Traditional typologies of individuals 2“ varyiin newspaper readership. Table IV-9 shows that mean newspaper readership is 3.8 fOr type I, 5.1 for type II, 3.8 for type III and 0.6 for the indeterninant "I ‘htk- o » ....'—.n I, A typology. The F-ratio of difference in mean newspaper readErship among Ralf ‘ the typologies is 1.13. This F is not greater than the 2.68 required for significance at the 5 per cent level. The empirical hypothesis is not accepted. EH 7-2: Traditional typologies of individuals vary in radio listening. Table IV—9 shows that mean radio listening is 2.0 for type I, 2.5 for type II, 2.2 for type II and 2.” for the indeterninant typology. The F-reatio of difference in mean radio listening among the typologies is 0.70. This F is not greater than the 2.68 required for significance at the 5 per cent level. The empirical hypothesis is not accepted. EH 7-3: Traditional typologies of individuals vary in ciEEma attendance. Table IV-9 show that mean cinema attendance is 5.2 fer type I, 3.0 for type II, 1.1 fOr type III and 0.3 for the indeterndnant typ- ology. The F-ratio of difference in mean cinema attendance among the typologies is 1.17. This F is not greater than the 2.68 required for significance at the 5 per cent level. The empirical hypothesis is not accepted. 80 EH 7-0: Traditional typplOgies of individuals “varyiin‘teleVision eXPOSUre. Table IV-9 shows that mean television exposure is 0.0 for type I, 0.6 for'type II, 0.0 for type III and 0.3 fer the indeterninant typology. The F—ratio of difference in mean television exposure among the typol- ogies is 1.12. The F is not greater than the 2.68 required fer signif— icance at the 5 per cent level. The empirical hypothesis is not accepted. EH 7-5: Traditional typologies of individuals vary in mass nedia exposure scores. Table IV—9 shows that mean.mass media.exposure scores are 8.6 for type I, 8.0 for type II, 0.3 fer type III and 3.6 fer the indetermin- ant typology. The F—ratio of difference in mean mass media exposure scores among the typologies is 1.30. This F is not greater than the 2.68 required for significance at the 5 per cent level. The empirical hypothesis is not accepted. None of the five empirical hypotheses were accepted, so General Hypothesis 7 is not supported. It is feund that traditional typologies of individuals do not vary in mass media exposure. GH 8: Traditional_§ypologies of individuals varyyin cosmopéliteness. EH 8-1: Traditional typologies of individuals vary in cosmppoliteness scores. Table IV-9 shows that mean cosmopoliteness scores are 2.7 for type I, 1.0 fer type II, 1.0 for type III and 1.8 for the indeterninant typology. The F-ratio of difference in mean cosmopoliteness scores among the typologies is 2.21. This F is not greater than the 2.68 re- quired for'significance at the 5 per cent level. The empirical hypothesis is not accepted. icammu 'I.--—.ft ’ -" - ‘ 81 The single empirical.hypothesis was not accepted, so General Hypothesis 8 is not supported. It is found that traditional typologies of individuals do not vary in cosmopoliteness. GH 9: Traditional typologies of individuals vary in Change agent—cofitaCtT EH 9-1: Traditional typologies of individuals r~a vary in Change agent Contact. 5 Table IV-9 shows that mean Change agent contact is 7.5 fer~type 7.4 . s_ I I, 10.5 for type II, 17.0 fer‘type III and 3.9 fer the indeterinant typology. The F-ratio of difference in mean Change agent contact among ”an '1: Z a: “3' o N . the typologies is 1.32. This F is not greater than the 2.68 required for significance at the 5 per cent level. The empirical hypothesis is not accepted. The single empirical hypothesis was not accepted, so General Hypothesis 9 is not supported. It is feund that traditional typologies of individuals do not vary in Change agent contact. GH 10: Traditional typologies of individuals vary in the number officommuniEatiOn Channels used for innovation information. EH 10—1; Traditiona1_typologies of individuals vary in the number of communiCation channels used for innovation informaé tion. Table IV—9 shows that the mean number of communication channels used for innovation information is 2.6 for type I, 3.1 fer type II, 2.5 for type III and 2.5 for the indeterminant typology. The F-ratio of difference in mean number of communication Channels used for innovation infermation is 0.57. This F is not greater than the 2.68 required fer Significance at the 5 per cent level. The empirical hypothesis is not accepted. 82 The single empirical hypothesis was not accepted, so General Hypothesis 10 is not supported. It is found that traditional typologies of individuals do not vary in the number of communication channels used for innovation information . GH 11: Traditional typologies of individuals vary in exposure to interpersonal and mass media channels in the commmication of innovation information . EH ll-l: Traditional typologies of individuals vary in radio exposure in the communica- ti on of innovation information. Table IV-9 shows that mean radio exposure in the comrmmication of innovation information is 1.0 for type I, 1.2 for type II, 1.1 for type III and 1.5 for the indeterminant typology. The F-ratio of dif- ference in mean radio exposure in the communication of innovation infor- mation among the typologies is 0.60. This F is not greater than the 2.68 required for significance at the 5 per cent level. The empirical hypothesis is not supported. EH 11-2: Traditional typologies of individuals vary in newspaper extpsure in the comrmmication of innovation information. Table IV-9 shows that mean newspaper exposure in the comica— tion of innovation information is 0.6 for type I, 0.6 for type II, 0.5 for type III and 0.2 for the indeterminant typology. The F-ratio is not greater than the 2.68 required for significance at the 5 per cent level. The empirical hypothesis is not supported. EH 11-3: Traditional Mologies of individuals vary ih magazine exposure in the communication 5? innovation information . Table IV-9 shows that mean magazine exposure in the comImmica- tion of innovation information is 0.8 for type I, 0.9 for type II, 0.6 ”‘13 .E 7? . ,{J 'A “.md 83 for type III and 0.3 fer the indeterminant typology. The F—ratio of difference in mean magazine exposure in the communication of innovation infbrmation among the typologies is 1.55. This F is not greater than the 2.68 required for significance at the 5 per cent level. The empirical hypothesis is not supported. EH 11-0: Traditional typologies of individuals vary i ~ in ACAR bulletin exposure in the communica- ' tion of innovation ififbrnatibn. Table IV—9 shows that mean ACAR bulletin exposure in the commun— C—Kmi.“- “-'-- r_.r- ‘ ication of innovation infbrmation is 0.7 for type I, 1.1 fer type II, !&5“ 0.7 for typellfl and 0.8 for the indeterninant typology. The F—ratio of difference in mean ACAR.bulletin exposure in the communication of inno- vation information among the typologies is 0.90. This P is not greater than the 2.68 required for significance at the 5 per cent level. The empirical hypothesis is not supported. EH 11-5: Traditional typologies of individuals vary in extension agent_exposure+in the commun- ication of_innovationfinformation. Table IV-9 shows that mean extension agent exposure in the come munication of innovation information is 0.9 for*type I, 0.9 fer type II, 0.7 for type III and 0.9 for the indeterminant typology. The P-ratio of difference in mean.extension agent exposure in the communication of innovation information among the typologies is 0.12. This F is not greater than the 2.68 required for significance at the 5 per cent level. The empirical hypothesis is not supported. EH 11-6: Traditional typologies of individuals vary in exposure to neighbors in the communica- tion of innovation information. 80 Table IV-9 shows that mean exposure to neighbors in the commun— ication of innovation information is 1.0 for type I, 1.3 for type II, 1.3 for type III and 1.3 for the indeterminant typology. The F—ratio of difference in mean exposure to neighbors in the communication of innovation information among the typologies is 0.03. This F is not greater than the 2.68 required for significance at the 5 per cent level. The empirical hypothesis is not supported. None of the six empirical hypotheses were accepted, so General Hypothesis 11 is not supported. It is found that traditional typologies of individuals do not vary in exposure to interpersonal and mass media channels in the communication of innovation information. GH 12: Traditional typologies of individuals vary in their credibility for mass media andiinterfi personal channels in the communication of innovation infBrmation . EH 12-1: Traditional tmologies of individuals vary fii their credibility for radio in thercommmication of innovation infor- £11021- Table IV—9 shows that mean credibility for radio in the commun- ication of innovation information is 0.9 for type I, 0.8 for type II, 1.1 for type III and 0.8 for the indeterminant typology. The F-ratio of difference in mean credibility for radio in the communication of novation informatio n among the typologies is 0.59. This F is not greater than the 2.68 required for significance at the 5 per cent level. The empirical hypothesis is not supported. EH 12-2: Traditional typologies of individuals varyfiin their credibility for news- papers in the communication of imova-é tion information. 44‘1“ :‘V'Ia ' 1 'E—_ 75.77%. «5.»: 4 s A __ 85 Table IV-9 shows that mean credibility forrnewspapers in the communication of innovation infermation is 0.9 for type I, 0.0 fer type II, 0.8 for type III and 0.6 fer the indeterminant typology. The F— ratio of difference in mean credibility for radio in the communication of innovation infbrmation among the typologies is 1.08. This is not . 1 greater than the 2.68 required for significance at the 5 per cent L i level. The empirical hypothesis is not supported. “mama. - . ." _ 4— EH 12-3: Traditional typologies of individuals , varyiin their~perceived credibility, 1 for extension agents in the communiCar tion oflinnovations. ‘- ‘_ Table IV—9 shows that mean credibility fer extension agents in the communication of innovation information is 2.1 for type I, 2.2 for type II, 2.0 for type III and 1.8 for the indeterminant typology. The F-ratio of difference in mean credibility for extension agents in the communication of innovation information among the typologies is 0.50. This F is not greater than the 2.68 required for significance at the 5 per cent level. The empirical hypothesis is not supported. EH 12-0: Traditional typologies of individuals vary in their credibility for neighbors in the communication of innovation ’infOrmatiEn. ' Table IV-9 shows that mean credibility fer neighbors in the communication of innovation infbrmation is 1.3 for type I, 1.0 for type II, 1.3 for type III and 1.6 for the indeterminant typology. The F-ratio of difference in mean credibility fer neighbors in the com- munication of innovation infbrmation among the typologies is 0.57. This F is not greater than the 2.68 required for significance at the 5 per cent level. The empirical hypothesis is not supported. 86 EH 12-5: Traditional typologies of individuals varyin their credibilityfor the mass media in the cormnmication of innova- tion information . Table IV-9 shows that mean credibility for mass media in the communication of innovation information is 1.8 for type I, 1.2 for type II, 1.9 for type III and 1.0 for the indeterminant typology. The F- i: a! ratio of difference in mean credibility for mass media in the commmn- ;. ication of innovation information among the typologies is 1.67. This - .‘:,n1..u—‘I ’——— —“ F is not greater than the 2.68 required for significance at the 5 per i cent level. The empirical hypothesis is not supported. 1 None of the five empirical hypotheses were accepted, so General Hypothesis 12 is not supported. It is found that traditional typologies of individuals do not vary in their credibility for mass media and interpersonal channels in the communication of innovation information. The overall similarity of the three traditional typologies, in terms of progress toward modernity, may account for the similarity in their communication behavior. Each typology excelled in some dimension of modernity, either as attitudinally moderns, economic achievers or community leaders. However, none of the _typologies were extremely more traditional or modern than the others. Thus, perhaps it is not sur- prising that the communication behavior of these typologies did not differ. We return to this part in a later discussion. CHAPTERV FINDINGS AND DISCUSSION: PART TWO For the first time in history, a universal pattern of modernity is emerging from the wide diversity of traditional values and institutions, and people of all nations are confronted with the challenge of defining their attitudes toward fundamental changes that are world-wide in scope. (BlaCk, 1966, p. 17) Traditionalism: A Comparative Analysis In Chapter IV we saw that an R-type factor analysis of tra- ditionalism produced three factors: (1) socioeconomic achievements , (2) modern attitudes and (3) community leadership. A P—type factor analysis (based upon the 20 variables utilized to extract the three traditional R-type factors) yielded three typologies of traditional individuals: (1) Attitudinally modems, (2) Economic achievers and ( 3) Community leaders. Additionally, a number of hypotheses regard— ing traditionalism and communication behavior were tested. It was found that traditionalism was negatively related to mass media ex— posure, cosmopoliteness , change agent contact and the number of com- munication channels used for innovation information. Traditionalism was related to greater exposure to interpersonal, rather than mass media, channels in the communication of innovations. However, it was found that traditionalism was not related to higher credibility for interpersonal , rather than mass media, channels in the communication 87 88 of innovations. Additionally, it was found that the communication be- havior of traditional typologies did not vary among the P—typologies. The present Chapter seeks to compare these findings from.BraZilian respondents with those culled from a number of behavioral investigations of traditionalism.and communication behavior conducted in other‘nations. :' r'r-J '5‘..-ng ’1’ 2&8er _' "flank—‘— Emphasis will be placed upon researCh WhiCh utilized both field survey data and factor analytic statistical teChniques, in order to enhance "_ ‘ w‘l' - 3". .14: y the comparability of findings with the present research project. Six R-Type Factor'Analytic Studies of Traditionalism.Variables Factor analysis, a statistical teChnique for data-reduction, is very utilitarian in exploratory researCh. It provides a parsimonious means of describing a phenomenon on the basis of the interrelated vari— able clusters that constitute it, rather than from undifferentiated, lengthy lists of descriptive measures. Statistical tests of significance to determine similarities or dissimilarities in traditionalism.in Brazil, Colombia, Kenya, India and the United States will not be used. Distinctive interview sChedules, data-collection and data—analysis techniques make suCh comparisons difficult. However, the principal factors and their component vari- ables extracted in eaCh study are reviewed in searCh of communalities, Table V-l outlines eaCh of the investigations in terms of its author, site, R—type factor analytic technique, number and nature of variables, and main findings. Table V-2 provides a composite listing of all R- type factors extracted in the six surveys along with their'highest loading variables. These factors are categorically arranged in terms 89 CECOCH oCm xmm .COHpmoooo ammo aNAHHHHCCE Hmon>Co 0 mo: . mmmwomowm .m .CoHHmoHoHpnmo HmHoom . 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In other words, a large number of factors extracted in widespread field surveys of traditionalism are examined in searCh of common factorial clusterings. The data used in this comparison (Tables V-l and V-2) are drawn from six survey investigations of modernizing traditional communities. f-‘I..-M“‘T - J 1. Rogers with Svenning (1969) factor—analyzed the personal interview responses of 160 household heads in three relatively modern peasant villages in Colombia. The three villages were all within an 1ri____q—r-luu_ \u 5" IA; .__ .v_‘(au=r- '——l‘ u I A- hour's bus ride from.Bogota, the country's capital. 2. Rogers with Svenning (1969) factorbanalyzed the personal interview responses of 95 household heads in two relatively traditional peasant villages in Colombia. The two villages were geographically remote . 3. Ascroft (1966) analyzed data collected in personal inter~ views from.62u villagers in Kenya. He sampled the village areas of Samia, Kabonda and Bomet, all located about 300 miles from Nair0bi. He randomly selected his subjects frcnxheads of households in the three agricultural village areas. u. Don0hew (1967) factor-analyzed the responses of 238 Appala- chian household heads in Knox County, Kentudky. This county has a per capita income of $680, which is about one-f0urth of the U.S. average. Personal interviews were conducted with heads of households and home- makers randomly selected from two small remote communities: New Bethel and Middle Fork. 9L; 5. Raju (1969) gathered data from.559 traditional farmers purposively selected fran six Indian villages from the states of Andra Pradesh, Maharashtra and west Bengal. subjects were less than 50 years old and operated.farns of 2.5 acres or more. 6. The present study was based on personal interviews with 1,307 traditionals sampled from.rural villages in Minas Gerais, Brazil. Data collected in eaoh of the six field surveys were subjected to factor analysis utilizing principal axis varimax rotations. How- ever, numerous distinctions among the surveys are readily apparent. For example, the number of variables submitted to factor analysis in eaCh study varied greatly from the 72 analyzed by Rogers with Svenning (1969) in their study of modern Colombian peasant villages, to the 26 examined in the present analysis of traditionalism.in Brazil. Although many variables, suCh as education, appeared through- out the studies in a similar form, the nature of others, suCh as family structure, were unique to specific investigations. Sample size also varied greatly anong the six investigations, from the 1,307 Brazilian traditionals sampled to the 95 subjects surveyed in the Colombian analysis of two traditional peasant villages. Additionally, a number of other aspects were unique to eaCh of the surveys despite their common interest in the modernizing of traditional life. In Table V-2 four cross-national factor clusters are de- scribed from.the categorization of 21 factors drawn from six field surveys of traditional life. These factor groupings are named: (1) communication contact, (2) economic resources, (3) modern attitudes I.“ uM":-._-_—’. - "_"_ “"‘ I t ‘ ill-x ._._..fl \. ids—'— 1" 95 and (H) community leadership. Only one factor, Ascroft's (1966) "fanily structure," failed to fit in one of the four factor groupings. .Additionally, none of the 21 factors (isolated in the six studies) appeared suitable for placement in more than one of the factor groupings. The results of the six studies, taken both individually and collectively, led to several generalizations concerning traditional life. First, traditionalism was repeatedly found to be a multi- dimensional_phenomenon. Second, a series of fairly;homogeneous and repetitive dimensions Characterized traditionalisnu wherever found. Traditional styles of life were fOund in both more and less developed countries. Empirical evidence of the multi—dimensional nature of tra- ditionalisnlwas found in eadh of the six factor analyses reviewed in this chapter. None of the studies extracted less than three distinc- tive dimensions; one investigation revealed five. A composite analysis of all factors extracted in the studies suggested four basic components of traditionalism. UnfOrtunately, the interrelationships and relative importance of these dimensions remains someWhat unclear. Similar factors explained different amounts of variance from study to study. The degree to which the findings of several separate factor analytic studies of traditionalism, conducted in widely different settings, could be melded into a descriptive set of four relatively stable factor groupings, supports the generalizability of certain di- mensions of traditional life. These distinguishing elements of tra- ditionalism are communication contact, economic resources, modern “at 9'42“ . ~ .- 96 attitudes and community leadership. Communication contact refers to both communication skills and exposure. Measures of literacy, education and other variables indexed attributes of communication skill, while numerous itens indexed ex- posure to various mass media and interpersonal Channels. Economic re— sources described occupational success in terms of size and value of agricultural Operation or level of employment. Modern.attitudes, the broadest of the factor clusters, indexed orientation toward Change in terns of a number of attitudinal items suCh as empathy, aChievement motivation, selfereliance and others. Finally, community leaderShip described community interaction and opinion leadership. This di- mension and communication contact were the most consistent of the four factor'groupings in terns of'sinilaiity in factor composition across the six field surveys. The other’two dimensions, modern attitudes and economic resources, exhibited someWhat more variability in the items defining the factors (whiCh comprise their factor clusters). The present general conclusions are tentative. They are based solely on a comparative examination of data drawn.from.six independent studies of traditional life in whiCh different sampled populations were interrogated with different personal interview sChedules. Ad- ditionally, different variables were analyzed and different data- collection teChniques were employed. The six field surveys all sought to empirically describe traditionalism, and to this end, all of the studies utilized factor analytic techniques. The factors drawn from six surveys to define four traditional factor clusters must be considered a function of the variables inputed - ‘A‘HJ - “nu—d . -‘~ D. ' . ‘I _,“ "' 5‘6: 97 in each factor analysis . In other words , investigative interest in communication , economic, attitudinal and social psychological variables , was at least a partial explanation for the findings of these factor analyses . Different data inputs would yield different factors . Future descriptive research on traditionalism should seek to confirm dimensions 1', already identified and to discover additional relevant elements . i Accomplishment of the later goal will be enhanced when new variables i are introduced in the analyses . Three P-Type Factor Analytic Studies of Traditional Typologies P-type factor analysis is a method of analyzing the correla- tional matrix of a large number of 133913 in order to describe basic typologies of people. Table V-3 provides a composite listing of nine P-type factors extracted in three surveys of traditional respondents in Brazil, India and the United States. In the present study P-type factor analysis of 100 respondents yielded three traditional typologies: attitudinally moderns, economic achievers and community leaders. These typologies represented about the same dgggg of traditionalism; however, each of them represented movement toward modernity along a different path. Additionally, it was found, via analysis of variance , that the communication behavior of the traditional typologies did not vary significantly among the P- typologies. Raju (1969, p. 79) extracted three typologies of peasants in a P-type factor analysis of 96 Indian respondents. He found a modern, transitional and traditional typology on the basis of 17 socio- 98 .mm0d0>ap0>oc5m ca 000..” 0 can mfihmem 0035.3 .Emflmewoo >e .00 :03 mm «08309300 cm? can 0930098 03002 000,: 5w? he o0mfln0womnmzo @383 m .3030: 0002: $5.0er 000.3 new Eamon 1x0 030E 00.08 Uganda .cofivMHOmfl oflaunm00w .00 :03 mm .Ewflufiwoc 30H cam 000c0>fipm>05fl he U0Namu0u009mfio @3090. 0 ...U0P0H00H: . 000C0>E0>oqfiu 0305 CH xoma 0 com 6030.500 >9 .00 :03 mm .mm0C0pflnoaQemoo 003:: 05. 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H m0900maN co c0mmm Eflmfloma modem? Hmcoflwoufiw QOHOQNH 3500 HEOEGPQ 09am new .853. . 00.3025 00.nfiéopmd30nm. 0905090§1m auscuflaog. “Ho 50.30950 .mr> BREE 99 psydhological and economic variables. These typologies represented different degrees of progress from traditional toward more.modern life styles along a common path. He utilized analySis of variance to study the communication behavior of'eaCh P-type, and found that levels of extension agent contact and urban exposure were similar among both the modern and traditional peasant types, but lower in the case of the "l“l‘z transitional peasant typology. No significant differences were found among the three peasant types in mass media exposure. Donohew (1967) fbund three traditional typologies in a P-type [TR—"T7337:— -.- '71:". I’ factor analysis of 163 Appalaohian respondents. He feund an outgoing, isolated and mass media typology. These typologies represented both different levels of advancement from traditional to more modern life styles, as well as, movement along different modernization paths. For example, the mass media type, Which he considered the most modern, was Characterized by traditional attitudes, While, the isolated type, which he considered the most traditional, was characterized.by modern atti- tudes. Discrepancies in the composition of the three P-type factors extracted in eaCh study may be a function of the variables imputed. For example, it was not surprising to find that Raju (1969) did not extract a typology similar to the one feund in the present study en- titled attitudinally moderns because none of his 17 variables were attitudinal. Also, Raju (1969) and Donohew (1967) utilized communicar tion variables in both their Retype and P-type factor analyses, while communication variables were withheld from.the R- and P-type factor analyses in the present investigation. Thus, the present study did 100 not disclose a communication typology similar to Donohew's (1967) mass media type. It is also possible that a number of patterns of movement along the modernization process distinguish different traditional populations. Data called from six factor analytic studies of tra- ditionalism, including the present investigation, suggest that sim- ilarities exist in the basic dimensions of traditional life. However, individual mastery of the many skills required as one proceeds toward modernity may be uniform across all dimensions, or, the mastery of these skills may occur haphazardly, one at a time, as individuals put into play such specialized talents as community leaders , atti- tudinally modems, economic achievers, mass media users or outgoing individuals . Ilrn. "mzfl i“ . v “r“ . n. .. .. my h ' I t CHAPI'BRVI SUMMARY AND DISCUSSION Let us now praise famous men. . . . 'Ihere be some of them, that have left a name behind them, that their praise might be reported. And some there be which have no memorial; who perished, as though they had never been, and are become as though they had never been born; and their children after them. But these were merciful men, whose righteousness hath not been forgotten. . . . Their bodies are buried in peace; but their name liveth forevermore. (Agee and Evans, 1936, p. H05) Summary The main objectives of the present thesis were to (l) em- pirically describe both the basic dimensions of traditionalism as well as the most prevalent typologies of traditional peoples in terms of socio-psychological and economic elements and to (2) study the relation- ship between traditionalism and ccmrmmication behavior. Measures of communication behavior included mass media and interpersonal communica- tion channel exposure and credibility, cosmopoliteness and change- oriented communication behavior. Traditionalism is defined as a statis life style, regardless of occupational endeavor or place of residence. It is often characterized by economic deprivation and such socic-psychclcgical elements as low innovativeness , low risk orientation, localiteness , limited aspirations , low empathy, mutual distrust in interpersonal relations and fatalism. lOl 102 A virtual census of household heads in 20 Minas Gerais (Brazil) subsistence farming communities participated in a field survey of the diffusion of innovations in rural societies. A total of 1,307 indi- viduals who owned at least part of their land or made the major de— cisions for a particular farm and who were not absentee landlords were interviewed. Their responses were analyzed in the present investigation of traditionalism and communication behavior. The present exploratory analysis of traditionalism generated two distinctive views of the phenomenon, one from the perspective of descriptive clusters of elements indicative of static life styles, and the other from the perspective of traditional typologies of individuals. In each case, the data yielded three (R—type and P-type) factors. These two sets of three factors were remarkably similar in nature, though de- rived from divergent factor analysis techniques . Traditionalism R—type factor analysis of the responses of 1,307 Brazilian farmers to 26 personal interview items produced three factors descriptive of traditionalism: socioeconomic achievements , modern attitudes and community leadership . Socioeconomic Achievements Factor I , socioeconomic achievements , accounted for 19 . 8 per cent of the total variance explained , was characterized by relative purity of factor loadings and internal conceptual consistency among the ll variables describing it. The factor was defined by such variables as socioeconomic status, farm size, farm income, adoption percentage, 103 status inconsistency3'attitudes toward credit and others. Similar economic resources factors have been indexed in studies of tradition- alismlby Raju (1969) in India, Ascroft (1966) in Kenya.and Dondhew (1967) in the United States. The factor described traditional economic marginality in terms of agricultural aChievement. It covered tradi- tional disposition toward the use of credit, agricultural success and innovativeness. The factor was similar to interpretations of tra- ditionalism.characteristic of economic theorists who often determine progress toward modernity on scales of commercialization. Mbdern Attitudes Factor II, modern attitudes, accounted for ll per cent of the total variance explained, was distinguished by relative conceptual consistency among the eight variables describing it. The factor'was defined by such variables as counterfactuality, empathy, cpinonatedness, economic knowledge, need aChievement and others. Similar factors have been extracted in studies of traditionalism by Ascroft (1966) in Kenya, Donohew (1967) in the United States, Rogers with Svenning (1969) in Colombia and Raju (1969) in India. The factor described traditional psychological and attitudinal dispositions. It focused on individual psychological readiness fOr Change. Community Leadership Factor III, community leaderShip, accounted fcr 10.2 of the total variance explained, was characterized by extremely pure;factor loadings and internal conceptual consistency among the three variables describing it, agricultural influence, opinion leadership and mention 1014 as a best friend. Similar leadership factors have been identified by Rogers with Svenning (1969) in Colombia and Raju (1969) in India. The factor described traditional socicmetric friendship and opinion leader— ship patterns These factors served to empirically describe three major di- mensions of traditionalism in rural Brazil. Similar economic, attitudi- nal and leadership factors have been extracted in widely different tra- ditional settings . However, the interrelationship of these dimensions remains unclear. Traditional Typologies P—type factor analysis of 100 subjects randomly selected from 1,307 respondents produced three typologies of traditional individuals . Characteristics of each typologr were determined with scores derived from 20 variables (observations in the P-type Factor analysis) selected on the basis of their inclusion in three R—type traditionalism factors. The three typologies were labeled, on the basis of their most modern characteristics: attitudinally modems , economic achievers , and com- munity leaders . Attitudinally Modems Factor I, attitudinally modems , accounted for 11+. 8 per cent of the total variance explained and was the largest typology, including 35 respondents. It described individuals with limited farm and economic resources who were high in such modern attitudes as empathy, need for achievement, counterfactuality and others . They lacked leadership po- tential and were not socially participative. ‘7 .A‘A—V -_ A..- ' “’2: $7.3?”- :— FF 105 Economic.Achievers Factor II, economic achievers, accounted fer 11.6 per cent of the total variance explained and contained 26 subjects. This typology described individuals relatively successful as farmers with moderately high economic resources. Hewever, they were distinguished by very traditional attitudes. They ranked between Factors I and III on all variables which indexed leadership, and were lowest on social partici- pation. Community‘Leaders Factor III, community leaders , accounted for 11.5 per cent of the total variance explained and contained 20 respondents. It described people who were socially participative and opinion leaders. They were also relatively high on certain economic and attitudinal measures, suCh as commercialization, Opinionatedness and risk orientation. However, they were low on adoption percentage, attitude toward credit, empathy and counterfactuality. They ranked between the other two factors on all cther*indices. This factor was considered the most modern of the three typologies. The P-type factors described three typologies of traditional individuals. The typologies were markedly similar to the dimensions of traditionalism,extracted.in Retype factor analysis. In eaCh case economic, attitudinal and leadership dimensions were extracted. Traditionalism.and Communication Behavior The communication.process of infOnmation transmission between source and receiver is a focal point in.the modernization process. .' . 38:51:? 106 Ctmmumication linkages join those Whowwould direct social and economic change with potential clients. Successful transmission and reinfbrce- ment of new ideas is tied to accurate audience analysis such that ap- propriate sources, messages and communication channels are employed. The present investigation, viewing traditionals as the world's most pOpulous audience fer messages about social and economic change, focused on traditional communication behavior. The data indicated that traditionalism.was negatively related to mass media exposure, cosmopoliteness, change agent contact and the number of communication channels used for innovation information. The data also disclosed that traditionalism was related to greater exposure to interpersonal, rather than mass media, channels in the communication of innovation infOrmation. However, it was found that traditionalism was not related to higher credibility fer interpersonal, rather than mass media, channels in the communication of innovations. Additionally, it was f0und.that the communication behavior (in terms of mass media exposure, cosmopoliteness, change agent contact, totaltnumber'of com- munication channels used for innovation information, exposure to inter- personal and mass media channels in the communication of innovations and interpersonal and mass media channel credibility in the communica- tion of innovations) did not vary among the P-typclogies. Discussion: Paths Toward Modernization in Traditional Brazil Traditionalism1 On the basis of an R-type factor analysis of 26 variables the data yielded three distinct dimensions of traditionalism, socioeconomic L~M'l R “l“.d'r‘za‘h'rth-CH‘ -.'- ,. . . 107 achievements , modern attitudes and oommmity leadership. Each dimension represented a different pathway along which traditional people in Brazil progress toward modernity. The three R—type factors suggest that tra— ditionalism is a multi-dimensional phenamencn. This assumption is supported in factor analytic studies of traditional life by Rogers with Svenning (1969) in Colombia, Ascroft (1966) in Kenya, Raju (1969) in India and Donohew (1967) in the United States. The socioeconomic achievements path of traditional movement to- ward modernity is defined in terms of higher incomes, larger farms, more favorable attitudes toward credit , greater innovativeness , more commer— cialization, higher socioeconomic status and other indices. The core of this large factor, composed of 11 variables, revolved around socio- economic achievements , while the periphery was composed of skills as- sociated with modernity such as political knowledge and functional literacy. Of the three dimensions of traditionalism this R—type factor was associated with the heaviest interpersonal and mass media communica- tion channel use. It was also associated with the highest credibility for both interpersonal and mass media communication channels . These findings suggest that increased communication inputs of directed change messages are likely to first affect traditional progress along the socioeconomic dimensions rather than either the modern attitudes or community leadership dimensions, which are characteri zed by less com- munication channel usage and less credibility for either interpersonal or mass media channels. The modern attitudes path of traditional movement toward modernity is defined in terms of greater empathy, more opinionatedness, m'i—‘WI - .__ a“ 71‘1”. 7.: I‘— 108 greater’need fer achievement, more counterfactuality skills, greater economic knowledge, higher'occupational aspirations for»son, greater risk orientation and more social participation. The dimension of modern attitudes indexed positive attitudes toward change. This R- type factor was associated.with moderate interpersonal and mass media channel use. However, it was also associated with the lowest credi- bility fer either interpersonal or.mass media communication channels of the three traditional dimensions. In fact, it showed a positive significant correlation with credibility for only one of five channels, extension agents. The community leadership dimension of traditionalism.described greater opinion leaderShip, agricultural influence and sociometric friendship choice. The R—type factor indexed community influence; however, it was not associated with any socioeconomic achievements or modern attitudes. Traditional community leadership may well act as a force in opposition to change. This Retype factor was associated with the lowest levels of interpersonal and mass media channel use. It was also associated with low positive credibility with but two of five coma munication channels, mass media credibility scores and extension agents. These findings suggest that community leadership in a traditional set- ting is the last dimension likely to be affected by directed change messages even though the dimension is not isolated from.interpersonal and mass media communication- channel linkages. Five of six general hypotheses testing relationships between R— - type factor scores and indices of communication behavior were supported by zero-order correlation analysis. In regards to the unsupported 109 general hypothesis as well as several unsupported empirical hypotheses it may be useful to speculate as to why they were not confirmed. It is possible that General Hypothesis 6 was unsupported in its assumption of higher credibility for interpersonal, rather than mass media, channels in the communication of innovations due to poor or in- appropriate communication measures as dependent variables in the test— ing of numerous empirical hypotheses. This may have been especially true in regards to measurement of exposure and credibility fOr inter— personal communication channels. For example, three empirical hy— potheses predicted a negative relationship between each of three tra- ditional paths toward modernity and extension agent credibility because of the interpersonal nature of the communication channel. However, three positive significant relationships were found. Yet, it should be noted that extension agent contact is a communication channel associa- ted.with modern communication behavior; therefOre, perhaps it is not surprising that positive significant correlations were found between credibility fer this channel and three R—type traditional paths toward modernity.* A negative relationship was also predicted for1neighbor credibility and the three R—type factors. It is interesting that in this case correlations, though non-significant, were negative in the predicted direction. *The modern nature of extension agent contact may also account for the failure to support three empirical hypotheses which predicted a negative relationship between exposure to the channel and the three traditional paths toward modernity. Thus, perhaps it is not surprising that positive significant relations were fcund between exposure to ex- tension agents and three traditional paths toward modernity. 110 Traditional Typologies The Brazilian data.produced three distinct traditional typologies in movement toward modernity. They were attitudinally moderns, economic achievers and community leaders.* The three typologies represented about the same degree of progress toward modernity; however, they ap- peared to be traveling different paths toward more dynamic styles. These findings support the assumption that traditionalismtis a.multi— dimensional_phenomenon. This assumption is also supported in a P-type factor analysis of traditional typologies by Donohew (1967) in the United States. Traditional individuals characterized by modern attitudes were similar to Lerner”s (1968) informant (the grocerO in Balgat, Turkey. They laCk friends and economic success though distinguished by modern mentalities. This typology was restrained in their~progress toward modernity by limited economic leverage and an inability to influence others with their progressive ideas. These individuals were the highest of the three typologies in mass media usage, especially in terms of cinema viewing. They were also the most cosmopolite typology; however, they exhibited the least contact with change agents, which may account in part for their laCk of agricultural success and economic plight. *Regardless of their*modern labels each of the three P—type factors extracted in the present analysis represents a traditional typology. First, it must be remembered that these typologies are con- sidered relatively modern or relatively traditional only in terms of comparison with other traditional peoples. For example, they are come pared with rural Brazilians who are generally characterized by economic deprivation and static life styles. Second, the modern labels apply only to the one attribute of each typology in whiCh the greatest progress to- ward modernity has been made. In the case of all three typologies rela- tive progress in one dimension is coupled with relative lack of progress in two others. 111 On the other hand , contact with the world outside the local commmfity, via mass media and cosmopolite channels , may account for their pro- gressive attitudes. Traditional individuals characterized by economic achievement, though high in agricultural skills and innovativeness, were often il- literate , politically uninformed and attitudinally traditional. The typology exhibited moderate social participation and community leader- ship. It was characterized by fairly frequent mass media use, especially in terms of television viewing and radio listening. However, the typ- ology was also associated with the lowes t credibility ratings of the three typologies for all mass media channels. The typology exhibited moderate contact with change agents and low cosmopoliteness. Economic achievers utilized the largest number of communication channels for innovation information. This suggests that, as in the case of R-type factors of traditionalism and communication behavior, inputs of directed change information via either mass media or interpersonal channels are likely to have their greatest affect in the economic path toward moderni- ty. It is possible that movement of this typology toward modernity would have been enhanced if they had been characterized by greater cred- ibility for the mass media channels they use. Traditional individuals characterized by heavy social participa- tion and community le adership mirrored most traditional community norms . The people described on this typology were close to the center position on almost all of the 20 traditionalism measures used to describe tle three typologies . They were very high on only the leadership, risk orientation and social participation indices. This typology was dis- 112 distinguished by the least mass media usage cf the three typologies in terms of newspaper readership , radio listening, TV viewing and cinema attendance. They were also the least heavy users of mass media channels for innovation information. However, their credibility for most mass media channels , particularly radio, was not low. The typology was low in cosmopoliteness but quite high in change agent contact. Tie data suggest that messages of directed change for community leaders is best 1.. laa’J .- sent via change agent channels. All six of the general hypotheses te sting relationships between E‘ M l _I.‘.£_"s Ian. Fr" P-type traditional typologies and numerous indices of communication be- havior, were not supported. In regards to these unsupported general hypotheses , and the numerous unsupported empirical hypotheses used to test them, it may be useful to speculate as to why they were not confirmed. First, we note that it was impossible to test hypotheses compar- ing communication behavior of traditionals with the communication be- havior of non-traditionals (relatively more modern individuals), which was our original intent, due to the similarity of the three, extracted, P-type traditional typologies in terms of overall position on a tra- ditional—modernity continuum. The author had initially hoped that a relatively traditional and relatively more modern typology would emerge from the P-type factor analysis of 100 Brazilians. Instead, three typ- ologies were extracted which were similar in progress toward modernity though distinguished by their movement along different paths . The P- type traditional typologies extracted by Raju (1969) from 94 Indian re- spondents might have offered superior measures for testing the commun- ication behavior of individuals at different levels of advancement 113 along a traditional-modernity continuum. However, Raju (1969‘) did not find differences in communication behavior between his traditional and modern typologies for mass media exposure, extension agent contact or urban cortact.* Second, it was possible that the six general hypotheses were un- confirmed due to the extent to which the Brazilian sample had progressed toward modern life styles, and hence did not demonstrate a wide range in the variables of study. The two descriptive factor analyses (R-type and P- type) offer some evidence that the modernization process has begun to affect the sample population in terms of the acquisition of goods (water filters , stoves with chimneys , radios, etc. were commonly owned commodities) , agricultural productivity (including the reinvestment of surplus resources in property or production) and especially tte increased communication with the world outside the local community environment via such communication channels as urban contact , mass media exposure or contact with change agents . Third, the six general hypotheses may have failed to receive em- pirical support due to inadequately measured communication variables . For example , both interpersonal channel exposure and interpersonal channel credibility were slighted in favor of more comprehensive measures of mass media exposure and credibility. The affect of inadequately measuring interpersonal communication behavior was to impede the testing of hypotheses comparing the mass media and interpersonal communication behavior of traditionals . Also, a number of the communication indices * . Raju (1969) conducted an exploratory investigation of tra- ditionalism and communication in India. No hypothesis were presented or tested. -' 1“? rim-Mann; 0‘ ‘fl‘; - a’.‘ "‘0' ‘ 111+ used as dependent variables in analysis of variance of the communication behavior of traditional typologies had non-normal distributions . For example, mean change agent contact was 7.9 while its standard deviation was 17.1. This violation of a basic assumption of analysis of variance may have accounted for several of the low F-ratio scores despite seemingly great differences among the typologies in communication behavior scores. '7‘ r A final communication indice measurement problem may reside in the mass 1 media exposure and credibility indexes. Low intercorrelations among the items making up these indexes may have masked much higher or lower 3 correlations between the individual items and the traditional typologies . The statistical manipulations of R- and P-type traditional fac- tors and numerous communication variables, while confirming but 5 of 12 general hypotheses , did provide descriptive information on traditional communication behavior. For example , the data indicated that Brazilian traditionals utilized both mass media and interpersonal channels in satisfaction of their informational needs. However, they did not credit either mass media or most interpersonal channels with very high credi- bility. Also, the data indicated that Brazilian traditionals make regular use of cosmopolite and change agent channels . Implications for Research The outcome of the present study, while perhaps disappointing from the standpoint of unconfirmed hypotheses , provided empirical de- scriptions of traditionalism from the vantage points of two perspectives , one descriptive of dimensions of traditionalism and the other descrip- tive of traditional typologies. The results of the investigation also suggested a number of important leads for future research. 115 1. Does repeated use of "standard" modernizatior variables such as literacy, family incoxe, cosmopoliteness, empathy, communicatim be- havior and others in multi-variate descriptive factor analysis of tra- ditionalism produce a complete profile of the phenomenon? Additional factor analytic research on traditionalism should seek the inclusion of novel economic, socio-psychological and other measures such as employ- ment selection, social system mobility, level of aggression or other variables in order to determine whether the major dimensions of tradi- tionalism have all been empirically identified. 2. Does the communication behavior of individuals change as they proceed from traditional through transitional to modern life styles? Corparative analysis of the communication behavior of two sets of re— spondents , purposively selected on the basis of their relative tradition alism, should yield clearer distinctions between traditional and modern communication behavior than was possible in the present analysis. The Brazilian typologies of traditionals were not clearly split along tra- ditional-modernity lines , which clouded the analysis of communication behavior. 3 . What is the time-order of alterations of various components in a traditional communication system which is proceeding through the modernization process? For example, Lerner (1958) notes that tradition- als depend solely on oral communication channels , transitionals on both oral and mass media and modern individuals rely on the mass media. Also, our data suggest that exposure to diverse communication channels precedes high credibility of these channels. Panel studies, which aid in the analysis of time-order relationships, might be conducted in "E' .n:—...n_.rs : .— -b #17- fin _ ‘\ ‘41-. 116 traditional communities experiencing the modernization process.‘ In- vestigation might then focus on alterations in communication behavior in these communities over time. u. In the diffusion of new ideas, are certain communication Channels, message strategies and sources more likely than others to en- hance adoption of innovations? Field studies in traditional settings Which matCh different communication teChniques, sources and channels while measuring the adoption and retention of innovations should lead to suggestions fOr improving change agency programs of communication IT directed to traditional clients. 5. What are the major dimensions of traditional communication behavior? .Also, what types of individuals interact in traditional communication systems? Retype factor analysis of numerous indices of traditional communication behavior should yield parsimonious dimensions of traditional communication behavior. 'Additionally, individuals identified as participants in traditional communication systems might be submitted to a P-type factor analysis in search of typologies of traditional communicators. 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