FATALISM AND MODERNIZATION IN comm Thesis for the Degree of M. A. MICHIGAN STATE UNIVERSITY Elssy Bonilla do Ramos 1966 LIBRA I" "' “ Michigan State University '3 H35"; IVEERISMJNHDRIKI$NIZATB$T IN COLOMBIA. By Elssy Bonilla de Balms ALTHESIS Submitted to Pfidzigan State University in partial fulfillnmt of the reqtdmxrents for the degree of MASTER OFXARTS Departnent of Communication 1965 ABSTRACT FATAIISM AND MODERJIZATIW IN COLOMBIA by Elssy Bonilla de Rams Fatalism has been considered as a central factor in the explana- tion of the failmes of social dwnge program in mm areas oftheworld. Therehesbeen little researdxmtherealinfluenoe of fatalism an the process of mdernization. The present study will attenpt to discern the relationships between fatalism and sane selected miables of modernization. The factors that increase the imlividual' s motivatim for nodemization and change may give rise to higher levels of fatalism if cimmstances are not favorable for the satisfaction of aroused wmts andneeds. Itisthethesisoffiiepresentstudythatthe greaterthe level of some nodemizatim variables sudm as literacy, empathy and mass media exposure (that in the present study are midered antmdents of mdernization as well as of fatalism), the greater the level of fata- lism, whm the individual does not perceive himself to be in cmtrol of his future. ‘Ihe present study used fatalism as a dependent variable indexed by a fatalism scale of ten items. Negative relaticnships were pre- dicted between fatalism and enpathy, mass nedia exposure, fmctional literacy, irmvetiveress, edmatimal aspiratims, oocupatimal aSpi- rations, achievement mtivaticn and formal participatim. A positive relatimship was predicted between fatalism and dognetism. Elssy Bonilla de Ramos ReSpmdents were from three peasant cosmmities near Bogota the capital of Colombia. One hundred and thirty-six respondents from the three canmmities were interviewed. The interview schedule was admin- istered by stuients of sociology at the National University of Bogota. 'Ihe data were analyzed using product went correlations. Six of the nine hypotheses were confined. The six significant correlations were those of the relatiomhips between fatalism and empathy, mes media exposure, functional literacy, educatimal aspire- tions and dogmatimn. To control for fatalism in the relationship betmen antecedent ‘and corsequent variables, partial correlatim analysis was done in order to take out the effect of fatalism in these relationships. From this analysis it would appear that fataliszn does not intervene the relationship of antecedents with ccnseqmnts , except for the case of all the three antecedents when related to dogmtism. A series of multiple correlations were computed in which the artecedents mass media exposure , empathy and fmctional literacy were utilized as predictors of fatalism. From this analysis would appear that the antewdents were poor predictors of fatalism. AQQIOWUCDGIENI‘S Many maple have provided ermrragenent and assistance in the development and coupleticn of this study. To all these peeple the authoress extends her deepest gratitude. Special adamledgnent is extended to Dr. tvorott M. Rogers, the authoress's thesis advisor, for his guidance in this study and far his mmgemsnt and help all through her graduate work. She also wishes to express sincere appreciatim to Dr. Randall Harrism and Dr. Janos Hundley, who served or her H.A. guidance oomnittee. Gratitude is also expressed to Progrmn Interemericmo de Informién Popular and Midligan State University, the Sponsors of the reseamh project that ambled the present researd: to be erecuted. Appreciation is also extended to Robert 1‘. Keith, and J. David Stmfield for their germ and able assistance and advice in the analysis and interpretatim of data. Mrs. Ruth Langenbadxer's co- qweration in typing it deserves an expression of getitude. Lastly, the wthoress would like to extend special thanks to her husband, Edumdo, fcr his support and understanding throughout her- graduate wait. TABLE OF (DhTEi‘JTS I-II ST or TABI-ES O O O O O I O 0 O O O O O O O HST 0F mm 0 O O O O O O O O O O O O O mgr or. memws O O O 0 O O O O O O O O I Chapter I II III DHWDUCII a: o a o o o o o o o 0 o o 0 Background and Nature of the Study Objectives of the Study RAI‘IQWNIDhYPOITESES. . . . . . . . . A Theoretic Rationale Modernization and Social mange Aspects of Patalism Value Orientatim and Its Pelatim to Fatalism Paradigm of Fatalism and Modemizatim Antecedents of Patalism Calseqtents of Fatalism Watimss Educatimal Aspiratims and Occupational Aspirations Achievemmt Motivation Dogmatism Formal Participation Hypotheses m 10mImY O O O O O O O O I O C O 0 The Sample and the Study Setting Data Collectim The Interview Schedule Pro-Test Operationalization of Variables Dependent Variable Independent Variables Control Variables Statistical Analysis iii Page (nun-JP Etfio< “010" 15 19 19 20 20 21 21 22 2H 216 214 25 25 26 26 27 33 Chapter Page Iv EJDIFJ$ O O O O O C O O O O O O O O 35 Controlling on Status and Age 39 Controlling on Status 39 Controlling on Age as Patalism as an Intervem’ng Variable 50 Predicting, Patalism 59 Predicting the Cmsequent Variables 60 V 3mm AND C(X‘ICUJSIONS . . . . . . . . . 61+ Smmary 6H Findings and Interpretation 66 Conclusions 72 Putme Research 73 Implicatims for Action 76 APPBIDIX O O O O O O O O O I O O O O O I 0 7’3 mum” O O O O l O O O C O O O O O O O 80 iv Table 1 . 2. 3. u. 5. LIST OF TABLES Principal axis solutim—factor loading forfatalismitems. . . . . . . . . . Varimax rotatimufactor loading for fatalism item 0 O O O O O C O I O . Quartimax rotatimmfactor loading for fatalism item a o o o o o o o o o 0 Matrix of intercom lations of the dependent , independent and control variables. . . . . Zero order ccrrelation and first order partial correlation (controlling an age and status) of the dependent and the independent variables Zero order correlations and first order partial correlations (controlling, on fatalism) of antecedent variables with consequents . . . literacy, enoathy and mass media exposure as pmdiCtm Of fatalism o o o o o o o o Predicting immvativeness . . . . . . . . Predicting educational aspiration . . . . . Predicting ocmrpatimal aspiratim . . . . . Predicting achievement activation . . . . . Predicting cbgmatism. . . . . . . . . . Predicting formal participation . . . . . . 28 28 29 36 ul 5]. 59 60 61 61 62 63 63 LIST OF FIGUIES Figures Page 1. Paradigm of the role of fatalism in the uodemizationprocess. . . . . . . . . . ll; 2. Paradigm of the possible developnnnt 0f fdtaliSln o o o o o o o o o o o o o 75 LIST OF APPENDICES Appendix Page TEE SW5 0 O O C O O O O C O O I O 78 Patalism Scale Items 79 CfiAPI‘ER I INTRODLETIm Backgrouwd and Nature of the Study Theprooasaofnodemimimincltmadmguintmmnof todmloy,oduoatim,healthmdsocialorgmizatiminguml,mt aromanavuyiupatmuy, whenefsmatutmarmpeople WMfaotharombjeottodwxga. mwividmlislocatedinaomplaxsystuolmmd eliqms,bothm1mdinforml,andmxyofthabeliefamnlm mpemmholdsarotloseheldbyatlnrainthesegruxpemouqms. Mdmgesooarinflreseveryiuportantmbeliofuwmdflnr finmtinmutdxmgaortlndevimtindividualnmtaeekum Wm. Sdrm(1968,p.52)midendthatmyoftrnmmin alutalltruditinulaoeietiasaroiniudcaltomdemiutim. Mme Mmmtbereligimbeliefsabmrtman'aimbilitytoinflm. W,inflnpmcassofnoderrdzation,mdxinvolmmgothr thingtlnaqutimofanewstylooflifmitiaalmtimsiblo toamidmfmrtatimwithmmrm. 'meqmstimillmtooon- mom. Amdarnltylooflifemoessitatesariseinpersoralaspira- flamtutmilmasedlawlofaspimtimainanatimisnotwim dmger. Lem (1958,p.|16)maintainedthatmss ndia,literacyand W,uwelluotmrfaabora,mbammodtostiwlate 1 2 Whynmmmm1otspmm.buteutmm Wmmmrmmmmmaw. mm, mhmwwmmthmfinypcudmymmm fianupmlywummmmmmmmlop. mmmmammwmm mwmdmmmmmmm m.m~mmummapmiumiummmm. mwmmmammumumammw arms-inbuilt. Wmmmmmammm mmmfluMatukhWbymiwappmd-tiau ammmmmummqmm nit-My,“ mammmmmmdmorm. Hfataliuhahmdattitwoitmtob-pmibhfwmtom- wwwuumituamagahutm. Intro mummmmamm-mmmmmmm mmmuanmmmu-immm. Ha mamwmmummnmwmm mwhmmitivolyorimtodtamommuim. mm.mymmmmmmmm ottlnrolooftatlnnmtobofm. mmmammu ulyudttnmptfxufluummpologicalpomtdvm,ufloh www.mmmmmmmmnpmo: fatalillmindividnlbduvior. mmm,mmmmmm,rmmim 1Madimsimoffldnmrimlomdngpdmiplu,mflill, P. WCM), ,AS gWW,“ Moo. My. 3 little attention in sociologoal or anthropological studies . Sariola (1985, p. 7) outsider-atlas infltmxoe o! fatalismon violence and des— pdrinauumlminmtioqtda,colonbia,buthadidmtoonsider moinflmoffatalianspedficallymoocialdmga. Paatudiod flupoaaibintyofmplyingnmdnim'stwoaystmmdaloffatalimin two Oolodzian with»; one commit)! relatively isolated and tho otheraligatlymadvmdmitssocioeomaniodmmisticsmd mudbyamwithflnimuetrialcityoffladenin. Swiohfmflfimmmtsnminflnmisomdma buliawdthatfiuirmlfarodepandedmfacmrsesaurtiallymida “raunchmflmtlupomafthemitydfllmmady “stoma-bum». nawinofGod,forcxanple,wasfeltto Mammmflnlifeoffimmisolatedpeasmts. Serials mludadtlutafatalistiedissatisfactimiapnmlentinisolated mlminOolonbia. mmmuunwinmenpttodatummmmhor fotaliniaintbprooesaofmdamizatimmhouitisrolatedto Mfumeofmdemisatimumsmdiaem,mmtiaullitm “empathy. ijectimoftrnsmdy l. Tod-alopamptualdafinitimoffmlim. 2. mapuitianliuthomptoffatalism,dsvo10pinga mummitmdtodetermimthemliabilitym ultidimaiaulityofthasoale. 3. Todwlmaparodignofmdemizatim,tomdioatalm “Woffatdimnianmodtofixamot mnimion. H. 5. 7. Q Todeteminatlnmlatimshipsbetmtatalismarutm selected anteoaanta offatalismmmdernizatimswx arms-tiara literacy, enpathymdmsamdiaexposm. Todatmufixarelatimsrdpsoffatalismtofinuhotod meqmsoffatalimsudraa domination, imovativemu. Waspiratim,aotdnenentmtivatim,mdfornl participatim. ToWflnextarttomiohnssmdhupo-m.m manWm-m rommmmmwmo: unionization. handing fatalin, predictmindiceaof mdemiutlm. om II RATIW AND W A Theoretic Raticnale misdaaptorilorgmizedlmrsevenmintnadings: (Doom midemtimaabwtmdernizatimmm; (”Melamine (”fibulatimfldpabcmtatalisnmmorimatimsyetem; (”panda-offatalinmdmduniutim; (Moan-Wm“ totaling (6) am mutants of fataliam; and (7) hypotheses. Wmmm Whfinwfixoforgmizodsciminitau- pausiminpmotiofltomfiomutoduoloy. mutedintar' offluiruivimnl.fi1iainwlmtuosmpa:(l)m-ivingatmw (aoimtifio)umloormpts.md(2) ommtingtlnsooonoeptsirmo aotimwintonatarialfonwvagm, 1962, p. 86). Mtwotornnm Wotapdntintim,butflmotioanyapuldng,finflm umpires-datum. Itisattlufintatepflutfatalimhu rumor-input. 1‘1""aotullthaloa1ctpt'offiupeoplnin mummrmmoMmae-m. Apodomphdfinisaitutimmnmmdbymu9fl.p.n) inanudyoffiumltmlfacminvolwdinmhighmofin- Mihmantyinaonnu‘ImofOolabia. Slam-attire Wmmmmmmmwmm Mm. mmmmhfiartdiea,trnparmaaay,'lt mahiadutinymttomw.” 6 Hifltuspocttotlnrolooftheindivimnlinthoprooassof mum, mum. p. 78) michndttntoifinr indiddmla mmmmmmmmmmm Mop. unwimtitutimofpolitioal, commode, oultml behavior mtodmgoincmpatibhws,fimthodm-ltboprovi&d bythpuoaulityutrixmidamindividul'a behavior. Hwbism (1963, p. 130) claimed: finpmyossofanatimdepmtintmdfmtm the progress of its maple. thou it develops their spirit whmnpotartialitios,itcmmtdevaloz>muu—- ntarially , Woolly, politically or gammy. 1h- basicproblemcfnostoftmmdamemlwadcomtriosilwt amydnatmlmmmtthemvolwtd fluirlnmnremoes. Hexaoatheirfirottaskutbato Mldupthirhmoapital. Taputitinmhuntm, Mmiwingtlnomoatim,akilhmmpdulmss, mmmmwmmoam-mm maxim. Kantian-kimmdhopomlmsa: inmm,ulutthey m,MflDyomdo,mfiuat-titudasfluyholdtanrdnatimldo- WhMmtm-ommminwhidathmhmuzgo befonthnatimmm. 8dr.(m6§,p.n)mimdflutt}nmbmm¢hmn- mWamd-aldmuimmmtflupopuutimm mmamw,mupedn1ymenmm dwmwwnm,mdflnpmvieimofmhdge,m willhofavu‘blotodaw. Mmmdfl‘mmumdmmamfityz (nmwmawmwmumm mdmnflhwmmmnm.nd(2)finuhmdm www.mdmmmmmmwnm (Pom. 1988.1).9). mdemummm 7 ”Whammhmdflnmnflmm mmmmmmwremmtm. Itiainthil Itepdnrofmlbmasmoldastabliahdmlminthalodalayatu. figuoagmttlnhmoomtimofmvalm. 'Dulmguperienoaof mindimpadtymaltortheirlimmdflnmptmoftmirfm MMMtumtomtuutmnupoaitimofpwmm- vidulomtrol. Aspectsoff'ataliam Fataliauhasboenmidlrodabarriertodmpindwelopim We. mmmdwr (1951:, pp. 161-168)me u”admoctoristicofpeumtaooiatiaa,muallyatomdn¢fmaml luscofabilitytooontroloths. meautlmocrrmstthoMuiom atdtuduofwtidsnmdoffortwithnm—Hostmulmofawm, passivity.peaaid.an,aoceptm,plimoyandmim.‘ Aooorttlngto thiaomsidarotim,fata1iammbodefimduthindividul's self- permiwdladcdabilitytooontroltmfutmo. Noplobolievothct mdthoirlifompmordaimdmdtlntlittloombamto alter-than. Rogers (1965. p. 25) considered fatalim as ”a passive view of the mid. iglyin; the feeling that m individual's efforts can not W his futuo." m- (1961, p. 52) ma fatalinu an mmammmmmam. Hanaid: . ..fl|ohoftlupoaslrt'smningapafl1ymdmn multnfrmfinpmwlmtattittflaflntitdoesnotreally latterwhatisdomtornlpaperom,ifhiatimMnmto din. ufeinamso,hdnaparm-nyoftlnuuar- privilegodpeoplesoftlnuorldbecmsetluymaw mmimofduflxthmmdo. Ifnoaniatobo blandorudatmaoapegoatforillmasmddeath,uiltho “mmmutdu‘ftiap‘atlyhmd.fataliu probablysdllbom." 8 Foster (1962, pp. 57-59) considered that in mnindmtrial Iodetiuaverylwdemeofmsteryovernatmuflsodalomditima huboenadiieved. Worfloodislcdoedupmaavisitatimfrm Godswavilspiritsdmmoanpropitiatcbutnotomtrol. Patna]. tomoflmdtmmuflnmpmmctiwtedmlogiesmyomflemafmr toabmsubsistanoyliving. Medicalandoocialaervioeamladdng “peopledieyomg. Wardroimmtmsitismtsmpming that peeplo have few illmims abort the possibility of inproving their lot. Afatalisticoutlodz,thassmptimtlwtmhappauiatln undaodorADah,istlnbestadjmmntthaindividmlcan-ah to an apparently hopeless situation. ‘ fitm(1957,p.318)dmoctsrizodtlnroligialbeliofsofufler~ anlapodmttriuaboingofdmbtfulutilityinpmddngmdunin- mumm. Ham.”flnwifimbmm¢zidityoflslu. fluafiwm‘ldlyqimiaofflmflumticinofflinduimufl mmmmdmiudmwmummm— WWW,M,WWhthtopmvide www.mnyupimim,wmmnm Omnidednganfioudiffmrtupoctsdfatdimflidoffm m(DS5,pp.7-mmdammdtMudiu:-iauo£fmlismx (1) Wm, (2)c1tm1an1m(3)projoctmgat1m l. W a. Wall: demmmwmd thitnditimalmltuo. I). W: stwatmlhnefnotdativedfmlfiu Wtunaimbutamingtmmipuhtimofmrydwufain mmMmemmm. legion 9 Nympflativo.eAmnberoftmtmditiaulsocictyiemt fetalistieinregardtohismgical solutions. Heboliovestheywill proammults,altimghlumyverywellboliewthatthoooim- minted-claimofduxgoagentsmuealosa. 2. Situational WMmananmmmmmumfm Wt.mmllyofmecormioratm.fldsistmoauinmidt flutflividwluflentandshowpoormdpmoarimhiedtuatimis “Momneedofimovamnt,mtatthemtinhomlim hwfubeinfromthumtlutvdllpemithisw. See-n's (1959, pp. 783-791) dasoriptim of power-loan alimatimiaveryelouto mintypooffatalim. Homideredflnmtimofaliuntimasit Winthkhnimvlmoftham'aomdidminaoapitflin society. Tim-muslimatothommmmgatiwm motdeaisimmapropiatedbyfiumlingamm. Whmidemdthnathoamtmoyorpmbabmtyholdby mmmmmmmmmmm dtbuwtomofninfmnu. mmmiarodaliuution mapplioablatothexpootmduthathevotodoidthtlnindividml'a mdinflmmrsodo—pditimlumts,politiml¢ystom.hh Ww,wmiaulafiahm WCWMW.W.m2fl)om-idlmdm CM'mdfistmdmllwdwaWMOnau-intim dwiddiange. Amwatofoolloctiwmmisalminfa‘ingm individnlsatthtrmsitoryperioduelefiwthoirmdmd mmmmemmmmmw Mm WWWWoffmliemthatdflumuw 10 minio- being captive «alien, extra-systematic mumlation and regulation. Scion (1965, p. Zlinamadyoffatalimmgcoloubim MWMviolmcamdmoldespairinmmymofLatin mmmmumtmmmm.urmm Wflalaaorda, 1962. p. 216). Swiola omeltndedthatfatalim. m.appomdtocoirnidefifl1apauinistiowtlookmgmding propose. ummamm. mm malaithamptimcfmasa rationlbeing,capabloof napaxdingtctlnomdxomnminmindividmllyadaptativemr, Wmhioindividuloapacitytcplm,toa¢uinistorhisaffain, autoimmhiowuktecmiqm. Effortatomdmadmgeinthis Wmmmfinmtaskcfaddingmfulmitmto “Melitta-utimmmdividnlalnadypoams. no MMMmcfalargersocietymidihilinbutmt altogether-patch Mofactcmldbeomeidendinfincasaofa rapiddmgeinaucboroflccalpopmatimmflnotlnrseotorsm dewfinmsflnnammthmmgofiduflfl- catimdthtbmmdusuanyuithfludmgodmcaimtadm. Inmulthiltypocffltaliuinfludewlopingcomtriuiaptobably cladymolltadvdthrwoldisplacmrttodtianmdmow diacrimtatimmultingho-trnloasofvillagetmditiau,umll uflnmdtomdutdcomoocupatiaumdtooyaetoinanmfaudliar m I. Projwtflcgativisn Projectnogutiviuhdofimdaaapaflwmdduvelopwnprojocta budmpuvioudmpprojoctfailms. 'miaisaproductoftm ll agoofdavalomtrutlm-thmboingapmmofflntroditiaml mltmocrofdifflwlt condition. Mamsultisacmuqtmof Wmmthmcfuflmlfwm. Toavcidthia www.mheadocfnewdevelopmtpmjectsnntwuy mmmmeeymmwmwimmdawmppmm tutu-tittytlunooaofttnmitiu. mumm,mmmmmm Warmmmnymmmm. Vale-Orimtatimmdltslhlatimtofatalim mwdrmmnmnmmwmtwms. mmwmummmmmmdrm 'mu midi-trammcimsim.' museumuear, p.1)definodtlnirvalmcrim- mmmmdmmmmmmmrum problem. vmmmmmmmwmyw (Madam) principles, resulting fro-the W1 Wdflruunlyticamdiaflnmfidnblodmrteof 'thaovaluativa process: unmgmitiw, flueffoctiveand tindinetivoM,finiohgiva¢d-rmddiroctimtc mmflmdngmofhmmmtbmgmum mummmdmmmm. WWII-aboutmiudduafin'ndimiaul WI M.putandfutm. Infizincuoatotaliaticoodnty uWuuMMW. ‘nuypqlittloattcution mmmwmmmmummmummm W10. Planingfortlnfutuoismtthlirwoflih. In unmamuwamwenmmmw muwmmmraramm. 12 The secmd approach derives from the idea that can nest have a pceitiminrelatim tctlnnatmothisenvirumt. Inthiscase. membeinmsteryovernatm,inhamonywithnatmowinwbju- action to nature. In a fatalistic condition men is in smjugatim to new. Mmesdminaunmmmmtorim timwayoflcddngattharolatimalfipbetweenmmtim.andthe other, lookingat fataliamas asubjugatim to nature. mthenaelves interrelated. macstgmomlomceptis.permms,butdarivedby loddngatflnmn-mtmwiamtim. 'Dnhayanindivhtalispn- disposedtoroacttcwardtin-criematimmnbadm'iwdbyloddngat lowheinfaotroaatsinrelatimtcfiumtmmim. For mmmmmmammimdminawbjugm mm,itiapoasiblstowfi1athoisafstalilticpminter- oftim—aimtctim. Paradimcffatalisznarudbbdomizatim Porflnpmposuottlziastxfly,adescriptivomlysisoc£fatal- mummam. mmwwmmmmm WurmH-nummmmnammrmm Momhmiduodnmmfiumcfmfim. This kindcfnlatimcmb-ndetttwolnvela: l. mumbhmifimflutcmfmwmm Worm urinatl'nprmsactmduniutimpaoplom Whmtmtbmtmyhaw,mdmtimtmymw mummfimfloypouiblyget. misladccfaquilibrim Wasphutianmthomiofaotimofaspintiauomloadto 13 WMWMaIMficatdm. Smhadispocidmmtuuademmtmthmofm m;mmwmmmmwmmwm dWmfinMM'ufmmiW-ntm mamas. 'Buqmotimtoboukodrmil,"wmtfwtmmlikoly «mmag‘odwmfnflmfl W'amlofmdun- izldmpmvidosnbaicfwappnoaddngmmm 301181:st We! Wm; (1) 11termy.(2)mxim. (nu-arm puddpttim.md(l) empathy (Lama, 1958, p. 3:6). Sincafmlistic mum-mmmmlymmgoinmwmm (o.¢.,hmmmpatimdlytmmtim),thlpmbabmtyof nmmmmmwmmmmmmn mm. mmmmmuumu,upmcmw dflnmandiawmmdfwtdmingmdag‘oofw- puuivudomtrolofmo'somlife,mldzintoaythattmdagmoof Imam Ithmnflamhthuflnpmtpmdip «mammalian. “deum. W“mndhcminuem.flumlofhtanmu1ndo- «cu-(mfigu‘l). 2. Wmmmuotminfinmomdemvmbm manna. amt-mummnmgmmmnu- WmmW-umtmmmmm mm Mmtoflogm’ (ms,p.an)moum~mm1u “mmdmm.dxmcqmmm”umx Mm,c¢mdm1upimdm,mmupimdm, www.m«mmm. maim- mdeWMa-flumdml ..................................... can as: 333.38....» 3% 15 nw.enpatmmmandiawm.mhwloftatd~ hut-W Bummumlaoffaulimmw.flmfin mammim,m1aflaspircdm,omupatianl W,Wmivatimmdfmlputidpadmmin- mod. muwIOIdomtimhcbmned. Pianlhampmmmimofbamthnmptulanalyniamd mwammmm. mmmwn- Wmmmntytommpa. mmm. dmmhoddmimnbmmwmhminw maulfldmthmmtommdinfm. Wfinpun- mammmmummitnwmumm mmmumdtbmeqmsmbadtompmdingma mmm. Wofratalin mummmumqunn-mm 11m,mmylndmndinm. ' uwmmmwmmummss, p. 5) as mMjutflumu-labintytomadMMu. Ann-tinge! mmmnwmbyumsoommzmwm: Amnnummmm uindthocucrtm WNWMW tomgayinan Muddtiuinmida 111mb mquindfwoffoo- duh-Maintainer“ “mama” mum, writingmdariflmticmit mmnumwmmmmmw hisamandtlumity'n dowlopuntmdforactiw inflnnfoofhisomntxy. Inqumitatiwmn,flnstmdudofatuhmnt hWflWnyhoth-dmflnmd nuflng,wxit1ngmdudthnfioadficwdafieram MdmofMacWodmm. 16 www.mmangmmasmotunw-dafimd 11m mum, is mainly mused with Miami litemcy. Rogammfiomg (1965.1). 1) definedfinctimallitmcyas‘mze ahflitytomadmdwrits adequately forcanyingmtflmfmwtims of mindividul'smhinhismlientaocialsystem.” Fwflmfim bflnitim inpliea that: (1)11temcyisapmoessmd(2)fmctiam1 11mm in diffemt for different roles. . W13 dafimdbylemr (1958,13. 50)as"t}ncapacity to mmlfintmcfinrfollm's poaitim." heath: peydwlogical poultofviewupafliyiamabmwtommelyinfwflnfeeunga “mfmaofmmmflnbashoffimimtmm'amful- Ingnmdactivainngimtimeffmts. mmmdmhmuuam dumb. W(1988.p.5h)1ndicatesfimmha mummwammiummmm mammfimm. www.mfimympm tinipminpubncdfdn.hfaaflitaudbyfiumsndhdfidxdn- mumm"mmmumm"mmmnmm mamamdmmgMflnymm. Sompwplc mmmmmm.mmaflm “Ilium. Mmdiamminpemulmofmdmbywddz Wad/wnnitmymsageamtrmmddinctlytom. hdhumiduredbywmuSGMp.2h).hanbmting humeitcmmmbomdnofdistmmdbolnimm anophfrmtnditiamleodctytoflu”moochty.” MCW.p.wWMw1mdwd-lm l1 mumidemdmaverybmadbasisinordertomdcipate secondary effectsand the resistances. It is may to know the mltmdflumtenmmmmdflmpmmcflifemme WMmkafifm. “madam-germ tampoophmombeinga'mdmmmgahfldshflnpuflmrt Mon. m(1963.pp. 327-356)m1damdfixatmdnnfiuttcnhm Maul behavior syncs. It in a "style of life" whose conga-nut: mWwinthoumflmmcffldmfunflmmgmmyd mismtmmcflidmhmdadnginmmotm. MWmeflnmmmwafly mmmuutyotmummmm. Wham mammummmmmmyamm muwumWMmmmmuwu-nm WW. MWtflmhfluWMhMI mammummwummmudm w,mummw.mmmmmindmm mmappmimlyinflnmitimldumim. unworth- m:munm.moqmmosmmmum “mummnrmamunu. ”(1950. p. W)de1o¢dmhntm.upodflly humamm,mammmmmm~ Monmntyofflupopumim. Ithduswuaabmtyuhmh mmmmmmWMamm. mm tomlmhofapatw,mmidwedmimtm- ”quiche: litemcy. 1'13:th "misinglituucyhatwdto MummmM-slndhw'm 18 m'with widarooamcpu'tioipatimaflpondcal patidpatim." mwmmmpouumpmmmmymwt «unannofnmmfinlmloffnmm Wtommmmmmamoffmnm wumwmmmumdumammorim. Atfinmtin,m,ithpossiblothatifhniacxpoaedtodtu- “Mmtmmdistia,tooalimforhh,hcmyminw humid-118th. mfinaflurharu,uamcymdmamdiau- ”mmmdwmmampdmdduofflumld. I: ithpmiblcmspodcotlodmdficpomtofviu,mchaviuom (wm.m'ammmormormnmm “W. Hifihismtaluwldmwwnuomnb mammmmowmmmmmmwm Madam. hmldhnvthmthflmmmbom- mmdmbyau'cancffat. Wimfldsmmptofhm mummm.mnnm.mumunmmyota mmmmum..W'-mdtmu W. nmammatmmum.m mmmehmw-Wmma- WWI-vulottm Amemhdmo-xbw mmmmtm Mthohuloffimotm w.umamw. dentdfoutdtho sun-.mnn-apaauunummmnmmmm. nwwmmmmmmammmm.mum nmmmmmmuwmmm m.mummummmmyhuwm.w 19 hum can work as negative minfm that will teach the individ- ulmmamgatiwviwofdmga. Inmrwords, failmsmin- {mutualistictttitudm Withflfiaapprmdminmindndutcmbo Wmfinmaqmsofademase inthe level of fatalism? Comeqwrtaoffatalim Th- uleoted Wu m the followmg variables: WW3 Wmulsfirndememwhidzmimividmlhnla- dwlymnnmmdngmmmwmmmdhhml man” (Ram, 1962, p. 19). Miami”! (1959, p. 91) reported a fatal- Womdwmmagahnfiuwpdmofmuflwofm mumfmymmhm. mmflnpwphmqmstimed abattfinpouibmtyoflimltingthdrfmios,flnynidmistmly thnbaflzflumingofflnddmmnmdthamofptwidingfor flaminfiuhmdsofdaitiu. Ifflmgodamadfimtoliw. thaywauldbobcmmdpmidedfa',hrtifflnydiedfmmmmtim ornidamu,flmmompnduthnd. Mommiuntotdom rhkothmthingm,sixmmybcli¢v-Mmlywpu~ Wimmimmmmumwdmflwhmhad WWswiflaadopflngmldou. Mindivldnlmo mhmthgfwutmumtlminflnfutm.mdthismer mmumummdwmmmmm thingl. Maintallstichdividulvdmaladcoffuumwicmaflm. finaitdlflimltmdoddemadoptsomthlngm. 20 Wkpfifimmwmm” Maulmpimdmmmpmalaspmmmafiem byfinlewloffxtalim Wmimfimmmdmlupi- MummudufiumofeMthxandmkldem Wbyparmrtsforfiulrdfilm. mlyufia'pemlnholmd museummmntactwifimflnmidewwldofoppoztufitla,can mymmottmmmmmmnmmmu dthamodmim. Asflnputmiswcsodmmmdha'dhm fluabllitymmad,mmmmfiutmnomeamlhiafutm‘m fimmme‘mwmdthwtham. mmquuamgrm-Mormmumm. m: thispointhccmnanzothatforhinitistooute.bm1thmt toolatofwhindzildmntoboaoedmtod. Asflnlevnloffatalism dam,flnlmnlofodwatiaulmdocwpatlanlupimflmincmase. Winds-flax www.mmmmnuasa, p. 1).:13'13» memmee-Wm.m Mmmummnamwam‘mmmm mummammwummmm dflupolwcdlmolwd." mumm(196~.p.17)w flu“mmd-pifldal.alndtdwmuflmmd .mamwumwmmm» mmmmwmwmm.wby mum-dorm: lad." W¢1361.p.18) mmwmudmh”mduintodomnmtuo mahforfludmdnodnlmmlfimwmutigmmmmdnm 21 inner ruling of maul Wham." Loci-mg at this propositim inmway, ltlaposslblomsayflxataaindividmllewlscf fatalimdemaso because dasdentiflc mdamtmdingofflwmrld, his hula of £311.0th mtlvatlm image . noggin Magnum-d: (1960, p. 61), "Asymlsdefimdtobo almodwomtimtofluthtthQ‘haMgh-ngnituhdm- joctimofnlldiaboliofmystm,mdlaohfimofbeliefs,nhm mmmaagmarmnmmmummmmn mtu,uulittlo dflfmudfiim wlfldnflndisbolinfsym.“ W(1965,p.8)miduedfintflnmicallyflnmbmtic punch ha a ”1&1wa WW bullet-diablld system with thonbllitytoholntc.ormlloff,anh¢llnfmwa®uym flu-Oman. mmmwmmmmwmwm mem.pmm1yummmm Wapz‘surtlylnldomtmlbollaf. nithmmmmrnmmmmm mmmwm,m1tumumukmum mpmtmmmw." 'mohighnrfholonlor mmmfiufmhmfhimlntmm bolhfoystonotamcn. m,utlnpommbomlesofatalistic. imammdauliudmtmdingofhhpemuloapwity,1th Wmmmwmwmmmc. realm mmmmMMnWmu magnum-mummmmmmmm 22 inhisoocialsym mmamimmofflfisfact cmhmlymdinum'lwwds (196“, pp. 50-51): Mitimal society is mnopm‘ticlpmtuit deploys peopla by kinshipintocamnfitiea isolatedfmeammamtxmu Qatar; . . .mdemaocietyispaxticipantinflwtithm- time by 'cmsmsm'uindivichals making personal decision mpubliciasuea mtmofienmaxgxwithoflmerin- dividmlstheydomthwtomkopoasibhastablecm fmmimflfi‘mmflfi? 1" Hypotheses mmmmmucmummmm, flufollovinggmcmlhypofinsumdudvad: WWhIz mgfatalismgarieainvemeyfl mamm- thmlflypothuiallz mgtmmmmygg mam- eaumnypauuisxn: wgtmmmu mmgarfism- WW3“: mgmmmmmmy mmammnm WWW EmgfiWaspimde Wzggmgtmnm Gumlflypotlmiou: magmaflaulagphgtimm mmmgmrm Manama-VII: mgéddamgmdvafimm lewflmgmmm. WHWVIII: MQWWMaQ @2222:me 23 Geneva Hypotmsia IX: 9223?. 95 form]. pmicipatlm varies inversely with 93m 31: fatalism. mm monomer msmummmm Dantorflnmuudymmofflummw untithd,”APioldWmfix-Rolod09hdmumlnflu WMWhMWWJMm hegminOcW,1963. Mamdumlvllhgu,m mvadthtmdifimum,OauoEsqulnu,mdme withnlntiwlymdunm,hnblovnjo. AWMtym m,mMal,midxhadnlativalymdemmu-. “Batman mmmmsoMMdm.mmW «mm-wmwm. Allflmcmniflosm wmwm,dflafmmmfll dudfu-moteepdppabymingintminfmm. Higher lmhoflimncy.adopflmof1mdm,andmomtacttypified tin-WWI. mom-cum Mmmmmmmmotmmuby map-mum. “fit-Wmdm-byatm mmrmmewMWd-mmu. In ondnofflufiuua-ldflu,uidlardsugxflufingmflwdsm utilised. 2N 25 mmmdemmmMmfwuflm WWW. nufiNtwmofandeoambdm finflmmfifiuinmdertogathersodmtricdatatofacflluto findwiaofopinimhadminflnmfityasmnutomao— dummmmlmmfinpowmtpopuhfim. manta» vlwsdbdulnmdevelopedaftaraperiodoffieldobsuwtimsm dbamiauwifimlmyinfmts. mummmmtmrm (£1963. hamdwaw of interviewingmcoupleteddwingme mthofSeprtanber, 1965. Atotalof 136 intervimmtofthe 160 Mmeolbctodmthaflmtphaseofthcmsem,moollected infllissmldpart. WWW MWMmmpmdfwmpn-uflbefonfin WMMfa-m hhihaminpmtimdtmlnmb dundndflnmdwxged,flnmllobjeatimrmflndesmially finm,mpttorfluduwlopm1tmdnfln&-nofflnwmof WWWW,WMm.my, mutations, www.mwmwmm WW, fwgumlapplicudminpemmfiu. Pvt-Test mm~tutmduninfiojmi,acmmdtyamm1noazpo- ddmmdloafimmflufilmmfitiu. 'Duprimzyobjectiwof finpm-testwastoseolftholntawiewsdndulnwouldwrkmderfield candida-u; Cmbimdwitha fawdeletima mad. before the pro-test, the ammdmmmdafollmingfintflptoaojaoé,wem domdoufficiéxt firth. final for“ 01th: interview schedule. 26 Weanitemmcmdmfidxdidmtmmtely mfinmptwhichflwypwpmtedtomm.mdmitm Wfiummfmmhhmpmmhmflwmts dudngfium-testmalsoelimimrted. OpemlanlizatimofVariables WV“): m-jwcriterimmiablooffinmimflgadmls fauna. Pmnnmdafimdpreviinyaoapudedfln wrldiwlyingfinfuelifigfiutmindim'uoflmmm Mam. Inmtonmthiocamptam-imlcal-(soo Wflmawlopedmlchmiotodafflu-mingmm wrmmatmmmwwmmm (19“, pp. 167-172): cm, situational and project mgativiu. 'Rnfmlianooalowas nubjccbedtofinfollwingmlym: 1. Reliability Rnliahflitylatlndegmctodfiehascahwilloaulstanflypm- mmmnmmmmmmmmnw- mum. mmmmtestmnmntymunpmmm mmfiflm. Wifixthllmflnd,finitulnaaoalem «mimmwmmmmmmmmm- mince-wad. Ithmdfiutfixinmdtumwisflmm ammmmmmmmamwrm than. mimmmmmhmumllydetudmdbyselecdng fincddmnbomdltmgflnmnmbmditmmflmsmdfmfin mm. W,oimooadmoffiwstbocaluhnvomlyan-le umifim.finmlgimlmh.alamomfficlentdmliabmty 27 mults. A mode: is made by the me of the uxiified Spam—arm medal formula. “min fmnfln was demloped to estimate the dame of reliability 3 scale mld display if it had not been divided in MM. When subjected to the Spam-Bram carnation form, the split—half named yioldod a coefficient of reliability of 0.516. 2. Mddimslaulity unoftlnobjoctimoffinamdymmaulyufinwaloto dammmthchypaflnallofflmmdimmmidamdby xliehoff mmurgwasmmble. The 8W dimimwas Wdth item 2,3,7,8a1d9;tlnsittatiauldimmimuaa “Nuifllitemsmfi(ml\ppendixfl. movichrmcleaflylmmateafimmofflnflmdi- m‘mp't of fatal!“ (set Table 1, Table 2, mmblo 3 respectlwly). These tables indicate that all the item mm the maintain! (2,3,1,8md9) loadedmrymmmracta- 1. Item h and 10 that m designed to mm the aituaticml dimnaim loadodvazyhigflymfactorll. Itemlmalsomtendedmfldedgmd tomflnsitmfimaldimwimmmandmdmmlmdimm wolfinfimfmu. Itexua,asameasm~e ofpmject mgativiam, landodhld'xlymttutMMIachw. Itemsmldxmlloodasigndto mpmjactmgativimwhlhloadingfairlyrmavflymrmm, alsolouhdthohigtflymfactorl,vflfichistosay1tismam mmm-mllufinpmjectnegativlsmdimnsim. v IndependerrtVariablu Mammlbua-gmimdmflngflmtflngmmmm wmmmmmmmmmmmmmpmmmwm 28 m orgasmic-sound. Tabla 1. Mel axis solutimnfactor loading fm' fatalism item Factors Imam. l 2 9 1 .5571 .9059 -.2803 2 .6335 .2080 .0587 ' .GSHQ "00525 .2757 ‘ -.08“8 o7u09 02702 ‘ .6172 .0999 -05030 8 -.1395 .1957 .7927 7 .732“ “01763 .2189 I .7161 -.2527 .1975 9 .9900 .2387 .0859 10 “alun7 .5981 “.2202 Waffium uncommon; thefachor ‘ 28.129 13.16% 12.999 Tabla 2. Vain: me loading for fatallsa items recto“ Iteulno. _4_ 1 2 3 h? 1 0&708 03920 -.3088 .592“ 2 .6317 .1699 ‘01“16 .9980 3 07033 “01051 .093“ .5077 h .0599 .7298 .3157 .6292 5 .9272 .0955 -.6719 .6929 B .1379 .1997 .8030 .6862 1 07‘93 “.2287 -.0§02 .615“ ‘ 0,215 ”.3026 -00585 06156 9 .9599 .2091 -.0519 .2579 10 ~.1539 .8181 “01333 0“271 olthnwm- lmoaoxphimdby annota- 26.¥ll 13.209 1h.11\ mmmmtmmmmmmmorrwm iaflmuW-ampoflaaizedmflmd. 29 Tabla 3. Wmim—fmloadhu forfatalimitom rm In. no. 1 2 a 1:2 1 .5262 .3886 -0338“ 05“2~ 2 .5959 aluss -.0586 .6980 3 06900 -.1§03 .1089 .5077 '5 .0577 .7050 . 3590 .6292 5 .“973 01076 ‘06197 .5029 6 .0612 .1000 .6195 .6862 7 .7392 —.2617 .0229 .6151! ‘ 6710‘ “03332 -00020 .8156 9 .9712 .1899 .0055 .2579 10 «1292 .6310 --.1163 .9271 Proportion of tho var- ‘ ~ ‘ 1am explained flu rm 27.189 13.259 19.909 mmumtmmlmmmmpzdrm “MW-«WNW WWhI WWI: mgrmmmmqum mammgm. Enable-1W1: Wmmmmlxfl {mm-m. WHWMWMWMW. memeMMWaflmm (inSpnlm),"'n:-Immhlamupidlylnamotnspoot.' mmammmmmmmmmmm Mmmuommof‘mmanlnmfl Mmammummmyww mmmma.mm(1ssu).mapwpmdnm MWofflnIntm-lommtyothydnlognt,m,md hndbmuodmafilllyinmioufmfithmumpam inquRim,rhtloo. W,Cnllcmdlmin. mummian WWII: mgmfmmfigflzfl mesm- ‘ WWII: Wmmmyfl mm' Myamddthafiwitmmadyamle.fiutpuh dtudflupomtoputhimoltinfinmludamm,an Wm.adilmctofficnl,flumtlauldnlstarofoduoh mummmammn. . WWIII WWIII: mammmw mamas-«mum. wwm: Wammzfl a$mm~ mmwmmu‘dbymhflexdmwifi: W,W.m,mmflt¢m. WWW mumdmmmmmmamu wmwmwmk,oto..mmlbhndhrtoawudh wirdubymdntypoofnmmoanod'atmm” (MW,1951). WWI? WWW: mgmuwmmz flmgmrm W W01. IV: Immiwms mo; 51 1mm}! fifmm. Wmmhflaedbyooupflimaliflofmly- 31 Widmamdaskingfinmspaflultlhwmofthesohem dopbdmdwim. finnMiwfimachndoptsfimumfloaa, «mumminflumvflhge,isnmmof WWW“. Inthisoueltmmm‘dbyasmhflioaflm monetitofinofadopfimofoimmfmpnctiouUufilim, “dumminnotloidometod. WW7 NW9: gagamggmm mguwmggtmm WalW-V: Aopimtimggoanatimmm myflfmlimm. Waspimlmmuumdbyumfinmpmdmtfln mumdeMWMomwdmm. WW9! WWW: momma Mydmmgfm Mama: WMwmm Wxfifmm. WWm-Mbyaakingfiumm “mammmmommmm. Tho Wmoododinlur-oimofmfiuulpmtige. wwiam WWW: mgmwmtmtimlmm mgflmgrm mwm: mevmtwdntimooomvm‘y 32 £315.43th mtivzrtim was mama with sentence oamletion it“. Anmlooftlmeitm is: "thaspirutimin 1516.. . ." Odgimllytlnsoalehadluitm,butsonnoft}mm Waiterananlysiaforlntemlomaistmcy. Eigdztitennwem Winfianimotfinnoale. GammlHypotl'asisVIII Gammlflypotlmls vm: mgwmmmlz zifleflgaamfam Wflypofimeia VIII: mmflmygg fatalimsooms. negation: was wand with an attitudixul scale of 10 items. '13:. item we selected fruatbo short-Joule!“ scale (20 item wmiaflmedby'l‘mldahlandmn. mm-fmmmwlopod mmwiztmlfmitumimmwwmbyamgitm dthflnWtitem—to—Malsmmladm. Influselootionof finitmmoffmmalaomdetoMVuitmfrmthedfifexm Wefdogmdeas: belief-disbeliefdimsim,cenml- WW,ufltin-pempectiwm1m. WWI)! me mammmm Mflmgmfm WWW: MMMmmm Wzflfatflimm. Wpufloiptdmwasmdbyfiumiwpazticlpatimof mmmmmdfifmtmmofmmltysmhu finmdw,fluuflcm,mdtholooalboud. 33 Control Variables momuOlVWMmdemthepmrt aulyslsmagomdatam. Mmimmdedinordermdeterm 11' the hmdapancmt variables war! related to fatalisn regardless of age orttatm. Itmsmpeotedmofflnnttmoffiumptof mommwmwmmmwm hhfiepmdantvuhblu. mummmummabmmmt «www.mmwmmpoimormm mmtputoftmlnumtoffinmm. Bryn-mm Imammmmmmflumdm. Agnwauhotodmoithmmdflutuagolmwa mmammmmmu-mw.mny omemtm,lm. mmwmmm ijmwmflnmlmlmdmpmjwt fail“. “www.11mmdumdthmjoot foiluuhpcnsibh. Statumfluodmoamlvariabhulmdbmmmmuy mnummmtmmmmammmormm mddepdvatiat. minfutmhmflnindivianltobomfiom dhilonpadtytodatmhilfum. Mapposltotoolimuouldm plaminindividulsvdthhighmtmfinfultmirfutmlalnflmdr mmmmmdmfluttmyhamtmpmrmmytomm mmawwtlwyliko. WWE Alldatanlnvmttothlypodmes on wound to how "intoml" qmlltiumdmthmmablotopmmtmuflmaulyaia. 0 oh Data. for all the hypotheses were analyzed using; zero order product mwd correlations of: (1) antecedents and fatalismt, (2) cmseqmrrte and fatalism; and (3) antecedents and amneqmnts. The: second step was to outputs first order partial correlations bemm antecedent. and wmeqmnta paddling out the effects of fatalim. It was the comparison of the zero order correlations of the arteoadmtamdmeqwrtsvuiabloawifixtrnputialoouulnimsof Mmmwfimoxplioatesthointaming mains of Indian. 'fluthixdldniofmalysilwaatoomtmlfwagoandstmin Wprotmmtaoedemmdfatalim, mdoamquartsmd fatalitn. mfmuepintmmalyaisxdllbothoomputationofa aezduotmltiplo Winninwhiohmsmdiam, apathy mwntmwfllboutilizedaspmdicmoffatalism. Sindlarly, selected mute: of mdemizatim, inoludhg fatalisn. willbcmedinoonbinatimtopmdiottlnindiouofmdanfiutim. GiAPI'ER IV FINDINGS mammarwinpmsmtmofflugmmlmd WWmtedincupmnmdm. Eachdfimhmu vaiablesmtesmdfartheirmmcimdfiptofludepmdent urinbhflatann). mammal WWI: wgfauunflmwmelxfl mgmmmmem. WWI: Fatalmmminmlywith WWW. Dumamrmhtimcrabhwbw mtmmumyiB-JOMMhmfimmJOB qudndfwsigdfimatfluompcrmlowl. nuhyportrnsisis mated. WWBII WWII: mgrmwmqgfl mgmo WWII: fatalimmmymywifim mm. hmmmfimmmtmmm h-.21~,dficbhmflmfin.206nquimdfwdaflimatthe unperourtlowl. Thohypatl'aaiaisnwpwtod. 35 .6. u- «.33.»? H93 «in fig .5 .5 an £83.»? I... 3 .38.- I... «a 2H. 1:... I... .n 21.. =8... 2:. I... 3 38“. 23.3... «8... «8.... I.. a 0.2.“. CHAN... m8. . :8. .36. III a «so... .53... «8. can... 1:. 82“... I... a 25.... Ema... So: :2... 89a. Imam. 32.... I... u 88... 1.3... 2.3.... NS. 95. :5. 3.2. 33“. I... a 21.3. 22a... «8. .22... «$3. 8.3. 33.. 33m. 38». II .. 8mm... 33... m2. (.4... 2.2.“. 33“. 2:... «.58. 2&3. 153. I. a 33m. «32... as... 93... 2%“. 1.5. . 2&8. $3... «1.8. 38m. 32m. I... a «.33... «SH. 8o. :3... :3... «NH... 35... 3.8m... So... 33»... 0.3.3... 318... II. .n 2 3 d S m a a a m .. a a H :83. «mung» IE 3§§§§.§§3§§53§ {Anon 37 Gamml 1W3 III Germ). WW8 III: EEZE 9}: fatalism varies inmell with Cam 9; {3133 media «55mm. minded]. Iiypoti'.esis III: Fatalism scores vag inverselx with mass gradia exposure scam. The. zero crazier comlatim between fata- lism and was miia exposm is -.21II, amid} is more than the .296 m- quimd for significance at the one per cant Laval. The hypothesis is supptrted. General Wash IV General Hypothesis IV: 31:3}: 9i ixmovativeness 33111628 inversely with deg“ gf__ fatalism. Emma Hypothesis IV: Imovatimas ms m inverselx wit}; fatalism games. The zero order mhfim hem fatalian and Wm 18 ~.027. Quick: is 1233 than tho .1“? required for sig- nificance at the five per cent level. The hypofimesis is not supported. Wjiygathesis 1 General Hypotbsis V: m 93: edtmtiongl gpim'tion varies inverselx with ?& gt: (Malian. Emir-1031mm V: Edmatiaulaspimimmmgn: 3338er with educatimal fatalism {09:351. The um order mlatim batman mama and «313th for emanatim is -.179. which is man than the .1“? remixed for significanm at the five per cent level. The hypotluaia is supported. General Wain VI WW VI: mgmpational aspiratims varixss inversely with dame 93 fatalism. 38 WWBIS VI: Oompaflaulaspintimamam inmalyuith fatalimw. Mmmrmufimbctmn anmfiaspirutimomeis-.I22,Mhhssthmfln .1“? mquimd for simificmoa at the five par amt level. Thu hy— pofinsiu it not supported. WWWVII WWII-310911: mgwmmm WflfiMfifm WWVH: mwmmm wmrmmm. hmmmmm mmwmmu-.1n.mnmflmm.m mdndfwuimfiumatfiufimmm 1on1. mhypotlmia is wppa'bad. mmnvm WWW: mammm gmaw WWI-sum: Wmflwlzm fmliaw. mmmmmmmm- mh¢.k22,m18mflmthn.ZOGMLdmdforaigfifim atflnmparcamzhwl. III-Winhuw. WWI): mWi-m mgwmmw wmmgmrm WWIX: mmpaummflg- mwrmm. hmmrmlrtimbem 39 fatalinmdfamlpntidpltimh .096,Mhmsthmtho.n7 mudgdfloumnfinfiwmmhwl. mm “mm. ’ mullinngtmmAge Hbymmfwthmmmdbyathirdmiabh. WWMQdewm-dmmmmdabhhn— Maw,fimflfiamut&numoflmform mmwmm,mumwuwm mmmmwummmm. hflfismitmmflntmmlmmm mmummuwmmmm gamma-1m... “Mm-30.11:“ Wmmmflnmmmkmmm Wawwnmmwupmma- Manama-9mm. Cammngmsutm 1. WWI WWI: gaggmmammmxgg mfiwm° WWI: Wmflmngg- %Mm. hmmmfluimhbmfm muwnmmu-.W(Wumm www.mmmmmmmmdm magnum-111m. mmmpuunm‘uum fl¢h5)m1mmmwnmmm mama-.mtdmuunnwmm» IIO 'flfispmumrmlttimiasigxiflcmflylmatfimfiwperomt Mlflmmmmmmmfmmamm tiaulnmucym. Namammthatsmidatathuu mhmumpmfatmnmdwntm. 2. WWII WWII: mgrnmmmmlx wmgm. WWII: rataummmmlxfi mm. hmmmmmfmnammm Wmh-.fll(aimifimtatfluanpwwitm,dming Min-namufwufipumoffinminw. 'mo mmmmuummmummmw matfilingmmtmismoaabmsigflflmmdflmmfm m).m1¢hdgufimuy1muflnmmmm1fimfin mafirmlfimbetmfahlinmuflmfiym. This mmmwmmmmmm Mina—“W. 3. Wm WWIII' matwrmmmw mggfimo WWIII: rudimmflmlzflg gfimm. hmmmhdmmrmnn mummndhmamsh-Joshimific-nfiflnm www.mmuuunmuflrSJpomtdm Minus-mailman. 'I‘quirttmdarpu‘thlmhdm Mid-Unmmmndnwmmlmgm #1 .332Uoiaflaufiuuggm3 .gfinogkunbflgc .gfiigfiflé 355%3§E£§§.n8§3§3g§dd¢ 8.... «A .3. a. .3. 2.4 mg «a... a. .8. 83.538 L12 3. .1: 32... R: 82... d6. 93 83... .5 83... 33825 «a. 5.. «a. a.» can. 3.... «A 9.4... a.» .3“. 83!? g 3.... «A .3... 3 .5... an.» as 3o... m4 5. SE59. 3358 2.. «.u 9:... a.» $3... a.» «a «8... «a «an... Evian..- 3833.8 cm. a... H8... do :3... 8.» a; .5. 3. En... 88 fig 5. a.» 82...... .3 18»... .3... EN 3”... .3 .58... .5898 53.8.: S. a." .81.. o... 35“.- 2... 3. «3... a... 8.5... bane-m 8. 3. 82...... a... 3.8... a... a... «can... «.o .38... Ed 81.. .3. $15? dd a 28a a?» 6.0 .83. 5.... .nd a 23 big a gas a 133m u in 395.80 at? éufiyggigué I II 82533-6339: uoaggfifigvgggggfigigg $8.3. '43 correlation between fatalism scores and educational aspiraticm scores controlling in social status is -.059 (not sigmificamtly different from zero), which is significantly lower at the five per cent level than the zero order cormlation batman fatalism scores and educatiaml aspira— tion scores . This reduction EhCWS that social status does intervene in the relatimsl‘ip between fatalism and cduoatimalaSpiratim. 6 . Gcneral Hypothe sis VI General hygmthcsis VI: gages cf_ occgisational aSpir-ations vamies inversely with 51953913 of fatalism. m... w- Empirical hypcu'c sis VI: Occugat icnal asguiration seems vari inverselx with fatalism scores. The zero onior‘ correlation between fatalism scores and occupational asyiration scores is ~.l22 (not signif- icantly different from zero), shcwing that fatalism account for 1.5 per cent of the variance in occupaticnal aspiratim. The first order partial correlation between fatalism scores and occugatimal aspimtim scores mung on social status is -.005 (not significantly different frm zero), wl'xich is not significantly layer at the five per cent level than the zero order correlation between fatalism scores and occupational aspi- ration sooms . This lack of dmange slows that social status does not fitterwne in the relationship between fatalism and occupational aspiration scores. 7. General Hypothesis VII Gmcral Hypothesis VII: Desme of achievement activation varies ”—32%... inwrsely yiflx 93:33.3 9;. fatalisjg. Emirical kiygotl'xesis VII: Achicwmnt mtivation scams veil: in— “ amely with {atalism scams. The zero order correlation between fataliszn .u— .C- -. -. . v ~o-p..-—--. —‘ .m- -—-—--- MS with fatalism scores. The zero orricr correlatim better-en fatalism scores and formal 1micipatim scores is .096 (not significmtly dif- ferent frm zero). sharing, that fatalism accomt for .9 per cent of the variance in forml pm'ticipatim. The first order partial correlatim between fatalism scores md formal participatim scores controlling on social status is .163 (not significantly different from zero), which is significantly greater at the five per cent level than the zero order correlation between fatalism scores and {cruel participatim scores. This increment shows that fatalism does intervene in the relationship between fatalism and formal puticipaticn. In the present study, social status works as an intervening vari- able in the relationship between the dependent variable fatalism and the independent variables fmctional literacy, enpathy, mass media exposure, ixmvativeness, educational aspiration, and formal participatim. Social status does not intervene the mlatimship between the dependent variable fatalism and the independent variables dogmatism and occupational aspiration. Controlling m Age 1. General was I General Hypothesis I: 223% 9i fatalism varies inverselx with degree 9i fmxctimg: literacy. Expirical Hypothesis 1: Fatalism scores 33 inversely with Maul literacy scores. The zero order correlatim between fatalism scores and functiaral literacy scores is «3014 (significant at the me per cent lucl), arming that fatalism account for 9.2 per cent of the variation in functional literacy. The first order correlation between M6 fatalism scores and fwrctimal literacy scores controlling an 6:238 is -.273 (significant at the one per cent level), which is not simificantly laser at the five per cent level than the zero onier correlation bet-Ben fatalism scores and fimctimal literacy scores. This lack of change shows that age does not intervme in the rslatimship between fatalism and funotimal literacy . 2. @nerel E-iypothesis II General Hypothesis II: Degree 93: fatalism varies inversely with wear” 9!. seats:- Empirical Hypothesis II: Fatalisg scores vary inversely with m of. m. The zero order correlatim between fatalism scores and empathy scores is «2115 (significant at the one per cent level) showing that fatalism account for h.6 per cent of variance in curathy. The first order partial correlation betweon fatalism scores and expathy scores controlling on age is «.190 (significmt at the one per cent level). which is not sigrificantly lcwer at the five per cent level than the zero order correlation between fatalism scores md ewathy scores. This lack of change shows that age does not intervene the relatimhip between fatalism and emathy. 3. General Hypothesis III Gexnrel Hypothesis III: Dame of: fatalism varies inversely with @322 93 sass media exposure. Ethical Hypothesis III: Fatalism scores vary inversely with mass usdia emure scores. The mm m correlation between fatalism scores and sass media exposm scores is ~.306 (sigxificmt at the one per cent level), slow that fatalism account for SA per cent of the M7 variance in mass media exposure. 'Ihe first order partial correlation between fatslism3cmes mdnass nediaexpcem scores ccntmllingcn age is —.283 (significant at the one per cent level), which is not sig- nificantly We the five per cent level than the zero order comm. ticn batman fetelism scores and mass media exposure scares. This lack cfdmgeslmthetegedoesmtinteminthereletimshipbetmen fatelism and mess nedia exposure. k. General Phrpothesis IV Geneml Hypothesis IV: m 31:. innovativeness varies inversely with cages 9_f_ fatalism. Enpirical Hypothesis IV: Irmcvativeness scores very inversely with {etelism scges. The zero order correlaticn between fetalism scores and imamtiwmese scores is -.027 (not sigxificantly different from zero), shadixlgthatfatalisnaccmmtfordpercentcfthemimcein im'mtiveness. The first cider partial coneletim between fatalism scores and innovativeness scores putialling on age is -.001 which is notsigmificmtlylcwerattmfive percentlevelthanthezemceder cormletim between fatalism scores and immtivenese scene. This lackcfdungeshwsfiutagedoesmtinterveneintherelatimshipbe- tween fatalism and ixmvetiveness. 5. Gemrel Hymthesis V General Hypothesis V: Degree 91 educatimal iasgiretion varies inversely with degree 9_t_‘_ fatelism. Bnpirical Hypothesis V: Educatimal aspiration scores vary inversely with fetalism scores. The zero order correlation between fetalism scores and educatimel aspiration scores is -.l79 (Significant Q8 atthe five percent level), showingthat fatalismaoommt for 3.2 per mtoftlnvarimoeinechneticxmlaspimtim. ‘Ihefirst orderpartiel oot'z‘elatim between fatalism scores and edtmtimal aspiration scores controlling on age is -.1'+9 (not significmtly different from zero). Missignificarrtlymateretthefiveperoent Jevelthanthezem order oozmlaticn between fatalism scores aid educational aspiration BODIES o 6. General HyR-othesis VI General Hypothesis VI: Degree 93: occupational aspiratim varies inverseii with degee 95" fatalism. Enpirioal Hypothesis VI: Ocaxgatimal gsipirationw scores qu _i_n_- verselx with fatalism 300293. The zero order oomletim between fate- 118m zoom: and oompational aspiradm scores is -.l22 (not significantly diffemt from zero), showing that fatalimn aooamt for 1.5 per cent of the varimoe in oocupatimal e8piretim. The first order partial cor- relation between fatelism scores md mm}. asphatim scores om- tmlJing on age is --.133 (not sigzificmtly different from zero). which is sigxifioantly greater at the five per cent level than the zero order oomlatim between fataliem scores and wartime]. aspinatim scams. Ihisinaemmtshacsthatagedoesmtixmeminthemmimship between fatalism and oocxpatioml aspimtim. 7. Gamma]. Hypothesis VII Gmmeml Hypothesis VII: Degree 95 adfievexmnt ggtivetim varies inverselx with degree of; fatalism. Empirical Hypothesis VII: Achievement notivatiog soorgg ya invemell with fatalism scores. The zero order correlation between D A V ‘ . ‘ . ‘ , . , . . . ‘ , . ‘ I ‘ ~— , O ‘ .' . , . . \ . _. . V - s , - ' ~ . . 7 ' , . A V , . . . .- x ‘ . I ' a ‘ ‘ . . . l . - ‘ » A . , ' ' . ' \ . . . . t .. v a \ ' ‘ t . . . .. _ I - ‘ . I I 1+9 fatalism scores and adxiement motivation scores is -.191 (sigzfificant at the five per cent lovel), showing that fatalism account for 3.2 per cent of the variance in adxievement rotivatim. The first order partial oorrelatim between fatalisn scores and achiemnt notivatim scores cmtrolling on age is -.163 (not significantly different from zero), which is not significartly lower- at the five per cent level than the zero order correlation between fatalism scores and admievemt activation scores. 'mielaokofdlmgesrmsthatagedoesmtintemintm relationship between fetalism md adzievawrt mtivatim. 8. General Hypofilesis VIII General Hypothesis VIII: Degree of dogmaticm var Lee directly with >-.-.-Qu .fi-o‘.‘ ‘m $333: 9;: fatalism. The zero order correlations heme-:11 fetalism scores and domatism scores is .1422 (significant at the me per- cent level), showing that fatalism accolmt for 17.3 per cent of the variance on fata— lism. The first order- partial correlation between fatalism scores and dogwtism scores partialling on age is $29 (significant at the one per cent level) , which is not significantly higher at the five per cent level man the zero order correlation between fatalism scores and doma- tism scores. This lack of drange ohms ti'xat age does not intervene in the relationship between fatalism and domatism. 9. General Hypothesis IX General Hypothesis IX: Degree _o_r: formal Exticigetim varies infirsely with game 9.: fatalism. Empirical Hypothesis IX: Fomal participation scores vary _i_r_1_- versell with fatalism scores. The zero outer correlation between fatalism scores and formal participation scores is .096 (not significantly 53 different from zero) , shocing that fatalism accomt for .9 per cont of the variance in fennel pafiioipaticn. Toe first order partial correla- tion between fatalism scores aJid forts-11 {articipatim acres controlling on age is .11“ (not sigiificantly different from zero), which is signif- icantly greater at the one per cent level than the zero order correlation between fatalism scores and formal participation scoms . This incz'cnmt shows that age does into-mus in the relationship between fatalism and formal participatim. In the present study. age does not intervene in the relatimships between the dependent variable of fatalism and the independent variables of ixmovativenesa , occupational aspirations , adlievenmt mtivatim and cognatisn. Agedoesinterveneintlnrelttimshipbetweenthedependent variable of fatalisn and the independent variables of educatimal aspi- mtim and formal participation. Fatalism as an Intem-ening Variable The follming section of the present chapter will report the results of the statistical analysis c'mue in order to detect the fmctim of fatalism as an intervening variable betaaen antecedents and crmsequents Table 6) . l. The zero Omar ormlatim between fmctional literacy scores and hmvativeness scores is .207 (significmt at the one per cent lavel), showing that literacy account for u.2 per cent of the variance in inno- vativeness. The first under partial correlatim between literacy scores and immatimss scores controlling on fatalism is .208 (significmt at the an per cent level), which is not sigxificantly greater at the five per cent level than the zero order ocnelatim between literacy and 51 .33 58 8a «8 «5 «a ufioflaflw! 4.30." 956 90m DEC «5 90 anmc 2 :8. 8. «8. 32 13». m4 8”. a.» 38“. En 36.- Sgfig Em a. one... a.» 2.2... u. 95... a4 .3... a.» «$1.3. 95.- 8.3st S. «1.3. .3 33.... 56 1mm“. 3. 82.“. a.» .8“. 3. 32.". 83933 «55% a.» 23%. .3 «m8. m5 :5... a.» 38“. a." :3. a.» 1.2. 835.5 59.800 p}: 33». 3n 3?. «:3 23mm. {5 33.. m.m 1.2. mg. 82.". Sagan... 3838.3 3: 23m. «.3 38». «.m 258. 3. 2&8. m... «mom. a... 41.8. 88 5.9% 5.0 Etna 5.0 £020 .90 393m .Q.0 .nflvuo 5.0 3.3m 5.0 .398 83 BNN 83 325135“ >563 333 3546350 magnooufi :35 Egg 3553560 5.? magma»! «5033.5 mo gym... :0 mfiflgfis «Egg Hug .820 «95“ vi 9.035.880 .893 Damn .m 32.3. 52 mmvativemss. This lack of change shaves that fatalian does not inter- vene in the relatimship between the antecedent variable of fmctimal literacy and the ocnsequent variable of mamas. 2. The zero wder oozmlatim between literacy some: and edu- cational aspiration scores is .273 (significant at the one per cent level). timing that literacy accounts for 7.15 per cent of the variance in edmatimal aspiration. 'me first order partial conniatim between literacy names and educational aspiration oms controlling an fatalism is .2315 (significant at the five per cent level), mich is not significant- ly lowerattm fivepercwtlevolthanflnzemadarmhfimbt- them National literacy scores and edwatinml aspiratim ems. minhdcofdmmgasmmatfataliamdoeanotifitminthomla- timshipbetweentmmteoedmwtmiabluoffmtiaulntamcymdthe meqmt variable educational aspiration. 8. Mmmmmmbemfmcdanllitmm and Win21 aspirant-1m mm is .177 (significant at thn five per cent lowl), ahadngflut fmctimal literacyaecmlm mad pore-m: offlzevariminocwpatiaulaspimim. flufimtouderpar'tial melatim batman nautical literacy scams and Wide). aspira- tion scores is .137 (not significmtly diffemflt from zero), which in not sigzificmtlylmurattm fingrwrthwltlmflmmorder correlation between literacy scams and compatiaul aspiration scores. misladcddmgamflutfatalimdoesmtintminthomla- dauhipbotmflnmmmiableoffmctimallimmdthe cmseqmm: variabla of oompntimal aspixutim. It. The mwdwmnlatim between Maximal literacy scams mdadfiemrtmtiwtimmis .272 (aigxificmtatfisémeper 53 cent level). showing that literacy accounts for 7.5 per cent of the varimoe in achievement activation. The first crdcr partial correlatim between functional literacy scores and sdwievcmnt notivsticn scores controlling on fatalism is .230 (not sigmificmtly different from zero), which is not significantly lower at the five per cent level than the zero order correlation betvnen literacy and achievement mtivation. This lack of orange shame that fetalism does not intervene in the relatimship tanner: the mtecedent variable of functimal literacy and the conseqmnt variable of schism motivatim. 5. 'me zero order cormlatim batman fmcticrml literacy scores and dogmatic!!! scores is «0130 (not sigflicsntly different from zero). MM fmctimsllitemcyexphbuthc .lfipcrcsntcffiuvarim indogmtism. The firatordcrpartial correlatimbctwunfmcdmal literacy scams and dogmatic: scores controlling an fatalism is -.196 (sigmifiomtatfiwfiwparcmtlml),midrislignificmtlygmater stths five percent lavclthanths zercordsrcornl-timbetween fmctimal literacy and dogmrtism. This incrennnt show that fatalism doesintminthenlltimshipbetweentmmtecsdmtvariablacf fmctimal literacy and the cmseqmt variable of domtim. 6. The zero Grier correlation betwam functional literacy scores md formal participatim soon: is -.018 (not sigmifimntly different harem). shavingthatfunctimal literacyacocurts for 3.” percent of the variancn in formal participation. Tm first order- correlation batman functimnl literacy scams and mm participaticn scores con- trolling m fatalism in .290 (mificmt at tin can per cent level), michissignifiomtlygreaterattmanpercmt levelthanthezero order correlatim between functional literacy ms and formal partial- 5'4 paticn scores. Tnis incmmnt shows that fatalism docs interwar: in the mlatiaahip between the antecedent variable funct ions-1 literacy and me was: 1W‘t vac-isms cf fcmal participation. 7. The zero order correlation hat-Joan engathy scams and imm- vativcmss scores is .268 (sigsificant at the me per cent leml), mowing first sacs-thy accounts for 7. 2 per- cent of the maxim in ima— vativenem . tine first order partial correlation hatn’em cwathy scores and immovatiwzmss scores (zoom. 1111;); on fataliszn is .303 (sigdficant at the one per cam level) which is not sigxificantly greater at the five per cent level than the zero order correlation between wfly scores and immativensss scores. lhis lack of dmgs shows that fata- lism does not intcmzs in the relationship between the antecedent vari- able of swath); md the cmseqrmt variable of inmovativeness . 8. The zero order correlatim betwem apathy scores and edu- cational aspiratim scores is Al? (simificant at the one per cent level), sharing that empathy accounts fir 17.3 per cent of the variance in eémfimal aspiretim. 'lhs first order pmtial correlation between empathy scores and edmsticnal aspiration scores controlling on fatalism is .33u, (sigificant at the me per cent level), such is not signifi- cantly lower at the five per cent level than the zero order correlation between enpathy scores and sducatimal aspiration scams. This lack of charge shows that fatalism does not intervem in the mlaticnship between the mrtecedent lee of empathy and the consequent variab le of educa- tional aspiratim. 9. The zero order correlation hem apathy scores and comma- ticnal aspiratim scores is .288, (significant at the (no per cont level), shading that empathy accomts for 7.2 per cent of the variatim in 55 momma. mfimtacerputialmlatimbem worthy scores and communal aspimtim scams controlling in fata- lisnis.251(aimificmtattlumpercantlewlhmmmtoig- nifioantlylwattrufluperoenthwlthmtmzemomarmh- timbetmmenpafizyccomamdcocupatiaulaspimtimsm. this ladtcfchangemmatfatalismdoesmtintmintmnhtim» ship between the antocndent variable of eugwthy and the conseqmnt var-i- ablocfooupatiaulaspimtim. 10. flammadarmhtimbetmanwdymmdmvc- mt activation Boom. in .279 (significant at the an percent level). mummtsfwhspcrantcfthomin thtivctim. mrmmmmmmmm apathy soon: and adiamnt motivatim scores cmtmlling on fatalism is .259 (sigfiIicmt It the mo per cent level), uhidl is not signifi- mntlylmrattmflwmcmtmlthanthumadermlnim batmanwthymmdacifimtmtiwtimm. misladcof Melanomtatmmdoumtinwmmnutimshipbo- Mflnmtomdmmtmiabhcfumatmmmmmtm'iableof adminmrtfliwtim. 11. Mmmmmmmummymmmn- dumb-.13“ (notciznificmtlydiffemtfmnwo).ming fiatmflxymsfcrldpermtcffinvmindomfim. mrmmwmmmmmmw scone mulling on fatalimin «0% (not significantly diffemnt frmum).whid\iouimificmtlylowaratfinfiwporcentlew1flm flammmrmmimbommmmddogmfimsm. MWMMfatalismdooaintemmthmhtimahip 55 between the antecedent variable of apathy and the ccnsequant variable of dogmdsm. 12. Tm zero order mlatim between empathy scores and formal patticipatim scone is .136 (not significantly diffemnt from zero), ahadngthatmathyaccomtsfcrldpercmtcftMMancain fcrml putioipatim. The first order partial “relation between empathy scams and formal pm'ticipatim scores controlling on fatalism is .353 (significmt at the one per cent lovel), which is not aimificantly Watflnfiwpermlewlflmfimmmflermlatimbe- tween apathy zooms and farm]. participatim scams. This 123* of damge since that fatalism does not interwne in the mktimahip be- tween the antecedent variable of My md the consequont variable of formal participation. 13. The zero order emulation between mass media expcsm'e scores and :lmovatimss scores is .320 (sigmiticant of tho one per cont level), sin-ring that mass mdia ”poem acommta for 10.2 per cont of the mom in inmvatimss. The first order partial correla- tion between mass media cxpcsm scores and imovativomss scores con. trolling on fatalism is .331 (aimificant at the an par cant level). which is not sigdficmtly greater at the five per cent level than the zero order comlntim between nass media exposum scams and imovative- mess seems. this lack of dmge shows that fataliam does not intemne in the routimship between tho antecedent variable of mass media ox— posm and the meqmnt variable of imnvatimss. 1a. The zero coder cozmlatim between mass media egosnme scores and cccupatiml aspixatim ms is $19 (sigmificant at the one per cent Laval). showing that mass media 03mm mats for 19.6 per cent 57 of the varimco in educattional wpiration. Re first Drier partial cor- relstimbetwemmsmdiaexposm emsmdedmeticnelaspimtim Goons controlling an fataliem is .391 (aigmificmt at the one per cent level), which is not aigzificmtly lover at the five per cent level than the zero order cmlatim between use media eiqrcsura scores and educa- tiaul aspiration scores. This lack of duanga shows that fatelism dms not intervene in the mlatimehip between the antecedent variable of mass India exposure and the cawequent variable of admaticnal aspire- tim. 15. The zero carrier cmmlzrtim between mesa mdia axpoeum scores and compationel acpiratim scams is .306 (significant at the capermnt lovel), WWW mdiaexpcem‘e amounts for 9J5 per cent of the vexiactim in occupatiaul aspiratim. Tna first order partialcon‘elatimbetwaenmeamdiaeaqmm ecorasmdoccnnwatiaul aspiration ems cmtmlling on fetaliem is .zsu (significant at the one per cent level), mien in not simifiwrtly lower at the five per cent level them the 2m cadet correlatim betwam ms media expoema m and 00::th aspiration Beam. Me: lack of dmige shows flmtfatalisndmsnotinmminttanhdmehipbetmenthamte- cadmt varinblo of use media anmme and the maqmnt variésla of occupational wpimtim. 16. flammcerwnelatimbetmmmassnediaexpcsm some: and achievemem: motivation some in .316 (simifiomt art the one per cent level), ska-3mg that mass media expoexme accounts for 9.9 per cent of the variance on aduevmnt mtivation. The first order partial mutim between mass media exposure scone and achievemzt mtivatim ems controlling m fatalism is .277 (eigxificamt at the . a .. . . A / e . . r r . I . . . a . . . . . . ¢ V v .- . . ‘ v . .u I ‘ A a a y n P . . v . . a t . . . x , . . . . . o . . .A . \ \ ~ ~ . ~ . H u . . V. . .. . at c‘ , . nu. It . ‘ . . 4 . , . I , . . . , .. a . y . v . . . 4 ‘ . I , a n . . . ;. J .. . . \ . I \ . , . I . , . . I . . . d I s 1 . 1 l . a . . a . o . \1- . . . v I . . v w ; . . . . c . . .p _ . \ . . . . . i \ b . . . I . . _ . . . I . . 58 ampercaxutlavnl),whidaiamtaiguifiomtly1matthefivuper cmtlewlttmflnzemordercomlatimbatwaanmesmdiaexpoem scoreemdadmievenentmtivatimeoome. 'mieladcofchangeehms that fataliem does not intervene in the mlaticnahip between the ante- cadentvariableofmeenediaeaqaoamamdflnoumaqmntvariableof adliawmntmtivatim. l7. mmmroomlatimbetweenmeuediaexpcom some: md dogmetism scores is -.177 (sigxificmtly different from zero), showing that mass media exposure explains 3.1 per cant of the variancoindogmatism. mfiretomerpartialootnlatimbetwemmese mdiacmmecomsanddogmtismecomcmtmllingmfataliemie .056 (not cigxifioantly ditfcrurt fro- m). which in sigmificmtly lauratttxaornparcantlaveltlmttnzercordercomlatimbetween mendiaewcemsooraeanddogmatienlcoms. 'mieramctimehowe that fataliem does intoxm in the relaticnehip batman the antecedent vuiabhofnaesmdiaawoemmdfiuamsaqmntvm‘iablccfdogmtiam. 18. 'mozaroordarmrrelatimbttwammaeamdiaucpoem ems-dim participation ameis.003 (not significantly dif- ferentfrcnzem). flufira‘tcrderpartialcomlatimbetweanmsa mdiaaaqacammandfomalpartidpatimecomcmtmllingm fatalienie .oau (not significantly different frenzero), whichienot aimificantlygreaterattlnfiwpercantlevelttmfixazemorder cornlatim between mass media exposure scores and tonal participatim scores. Mladcofdmgeemttutfatalismdoeemtintervmein finnlatimehipbamaenthcmtecodent variablaofneee media-mum mdtlnmcqumrtvmiabhcfformalparticipatim. Aooordingtothmltarapartedinflusaectimoftmdiapter, fatalisn only interwes in the relatiomhip between three antecedent 59 variables: empathy, fimcticnal literacy m mass media exposure, in their relaticnshipe with the cmeequent variable of dognatism. Predicting Fatalism Having noted ccneistmtly significant zero cedar melatime between the antecechnt variables and fatalism, an attempt to predict fataliendth the mtecedente is in order. Hora Specifically, the question is "that variable or combined variables accent for mat of the variation in fataliem‘!" The predictor variables are the antecedent variables. Table 7 shows the pmpcrticn of variame acccmted for by each of the antecedent variables. Table 7. Literacy, empathy and mass media expoetme as predictors of fatalism Pegzeeeim Variables «efficient Beta might Significance level Hue ndia .mm ‘0133 -0206 .01! W "’ o 07“ ‘3 0 30 o 15 hmtimal 11m ’0537 “0210 002 Thebeetpndictorof fatalisminthic casein flnctimel literacy, and then mass media exposure. Michal literacy and empathy mhmly mutedwithm mother. Inorderto predict fetaliem, itwillbemceeeuytcmelitemcyandnesemdiacxpoemwifixoflnr variables. T1108. m1» omld be level of oducatim, aim of farm, WW. (rampant-mu, dogmtism, fimtretim, alimtim, etc. 60 hedicting the Conseqmnt Varieties Nine variables incluiim fetelism, were used in order to predict the mequmt variables: imovstivemss, educational aspiratim, oc- ctmtimal aspiretim, admievement mtivatim, domtism md formal participation. The predictors were: fatalism, krmledgeability, cosmo- politeness, cultsct with extension agent, level of satisfaction, size of farm, level of living, years of edmetim of head of Imusehcld, and farm efficacy. Table 8 shove the effectiveness of the predictors to predict iJmovetiveness. The sultiple conelatim is .129. According to Table 8, size of farm and literacy are the best predictors of inno- vativeness. Fatalisn is not a predictor of iJmcvetivenese with these data. T able 8. Predicting immovartivcness Regression Variables coefficient Beta "sign: Sigxificancs level Fatalism .178 .120 .21 nucledgeability .866 .111 .32 Oommpolitencss -.028 -.052 .62 Cmtact with extentimist .2911 .132 .12 Level of sstisfactim -.911 --.217 .18 Size of farm .1u2 .216 .03 Level of living .10“ .021 .83 Years of educa- tim of head of houselnld .1710 .038 .72 Efficacy 1.21 .31‘: .05 Table 9 shows the effectiveness of fatalism and other variables to predict 0W aspiration. The multiple oorrelatim is A0. According to Table 9, Jonaledge- 51 ability and yeam of educatim of lead of mus-amid am the only sig- nificant predictors of educaticmal agitation. Fatalism is not a pr— dictcr of educational aspiration. Table 9. Predicting edmatiaial aspiration ._._h_ {hat-assign Variables coefficimt Beta might Significmca level FataliBm .037 .093 .25 mmledgaabmty . 6 3n . 350 . on (30811013011th3 .000 .090 .29 Contact with extentimist —.025 —.0'49 .09 bvel of satisfactim .136 . lb 1 . 30 Size of fan .015 .108 .19 Laval of living .191 .116 .21 Years of educa~ ticn of head of homehold .188 .178 .05 Efficacy -.089 -.096 .106 Table 10 . Predicting occupational aspiration Regressim Variables coefficient Beta weight Simificrm lawl Fatalism -.002 -.008 .89 Knowledgeability .060 .051 .66 Gcsmpolitms .005 .079 .09 (intact with axtartiadst .006 .017 .83 Level of satisfaction .090 .069 .68 Size of farm .009 .091 .38 Laval of living .06“ .089 .08 Years of educa- tion of head of hcmchold .109 .163 .16 Effioaq .001 .001 .90 Tab]. 10 show tho effectiveness of fatalism and other variables to pndict outpatiaul education. 82 The sultiplc correlation is . 07.3 . .‘1woztlir.; to Table 10 none of the selected 'e'cu‘icbles predict c-cccg‘atiouil aspiration “t a level significantly affiilfll'lt from zero. Table 11 shows tbs mic of fatalism and other variables in pre- dicting achievexrsmt notivatim. Table 11. Predicting achicmmt motivation W Femasicn Variables coefficient Beta might Simificmca level fatalinm «009 -.097 .32 hmledgeability . 5014 . 199 . 09 CosmolitemSS .019 .132 .20 Outtact with eXtmtj-alist “ o 016 "' c 0 21 0 79 Level of BatiSfm -01“ -.102 .5” Size of farm ~.009 «0'41 .69 uvel of living .393 .206 .08 Years of educa~ tion of head of household -.102 -.066 .51; Efficacy «003 -.033 .82 The wltiplo cornlction is .119. According to Table 11 none of the selected variables pndict admicvcnnnt wtivatim at a level significmtly difth frun m. Table 12 shows the role of fatalism and other variables to predict dogmatism. The multiple correlation is .260. Table 12 arms that fatalism, size of farm and farm efficacy are predictors of dogm- tism at a level significantly different from zero. Tabh 13 show the efficacy of fertilizers amd other variables to predict formal participation. The multiple comlation in .258. According to Table 13, none of the selected variables predict fatalism at a level sigtificantly 63 Table 12. Predicting dogmatiam Regressim Vuiables coefficient Beta weight Significanoa level Fatalism .220 .089 .00 thgeability -.202 .103 .55 Oosmpolitenesa . 017 . 095 . 32 Gmtmt with cartentioniat .030 .080 .68 law-.1 of mafmm ”a 2'05 .150 o 35 Size Of run -0009 0091 069 level of living .085 .103 .02 Years of echo:- tion of head of household -.l28 .097 .50 Efficacy .083 .1“! .00 different from 2610. Table 13. Pmdicting fomal participation Regression Variables coefficient Beta weight Significant level Pauli-8m .Ouz -0125 037 mmgeabmty “0302 .090 028 Cosmopolitmess .000 .000 .95 Ouatact with .xtmtimist .095 .136 .12 Laval of satisfactim .125 .090 .58 Size of farm -.01|0 -.066 .52 lav-1 of living .162 .104 .37 Years of edwa- tim of head of landlold -.096 -.066 .55 Efficacy .068 .056 .72 CHAPTER V SUI‘MARY AND CCNQJBIONS Stmnar'y Mpuposeofthepmsentsmdywastodetemimthemleof fatalisnin the process of mdamization. Patalianwas mptualizod asatruaodimnsiaulmpt,flndiwuiaubeing(1)wpemm, (2) situatimalandu) project mgniviammdwudefimdufln individmlselfpmivedladcofabilitytoomtmlhinfm. The aarphdmwfwthpmmntstxflyconsietedoflufmuinfim diffamt Colonbim quantities. San Rafael and Pmblo Viajo exhibited mudamdmteriaticsmmfisqmmtnditml Mica. Alikerttypescalammedtomasmfatalism, the dependmt var-lama. Zero-coder, tint-ads)? and nultiph outcla- timmmedtoteatflnnmemjormmm. moobjectivo of tin-present thesis m: 1. To develop amptual definitimof radian. 2. Toopmtiauliuflwmptotfatalism,davalopinga mummitmtodotemfinthonliabflitym mltidimmiaalityofmsealc. 3. Todewlopapaudigmofmmiutim,toimiautew finanptfatalismismtothepmaof mdemimim. en 65 It. To determim the mlatimships between fatalism and the selected antecedents of fatalism and mdemizatim such as fmctiaul literacy, e :y aid mass mdia exposure. 5 . To detemdxn the relationships of fataliem md the selected conseqwnces of fatelism such an Winn, innovatimness, edmatimal aspiration, addevemmt wtivertion, md {m1 participation. 6. To determine the extent to mich mass media ammo, empathy and fmctimal literacy predict fatalism. 7. To determim: the extent to which selected coxmlates of maximum, including fatalism, predict the indices of mdemization. There were nine gememl hypotheses in the {recent thesis. The dependent variable in each hypothesis was fatalism and tho im‘opendcnt variables we fmctional literacy, empathy, mass media awesome, inno- vativenees, educational espimtims, occupational aspirations, was.» sent mtivatim. dognatism and formal participatim. In cdditim fate- lion wan postulated to be an intervening variable between the antecedents fmctimallitemcy, Maidnassmdiaemm‘mdthe comeqmnts— iJmovctiwmss , educational aspimtims , occupatimal aspimtions , echiwc- nant mtivatim. dogmatic!!! and formal participatim. Multiple comlatim mulyeeamcan‘iedouttodeterminetheextenttowhichfmctimal literacy, «patty md ms mdie exposure mediated fatalism and to determine the extent to much selected correlates of modemizatim, in- clulim fatalisxn. pmdictedtlnindioeaofmdanxizatim. 66 Findings and Interpmtatim Six of the nine general hypotheses were swported. The major findings are listed as follow: I. II. III. IV. V. VIII. The general hypothesis that fatalism is inversely rela- ted to the degree of literacy was supported. The general hypothesis that fetelism is inversely rela- ted to the degree of apathy was supported. The general hypothesis that fetelisxn is hmrsely rele— tedtotl'xedegneofmsamdiaexposm'ewassmported. The game). hypothesis that fatalisin is inversely rela- tedtotrademeofismetimssmmtewpotted. hmmhypatlnsisthatfetalismwae inverselymla- tedtomedemeorocoupstiaulespiretianmsuppomcd. 'fingmemllnrpathesieflutfetelisnieinwmlymle- tedtothedemeofocwpetiaulespimtimswesnot supported. ‘Bnmmlhypoflneietrutfetalienmimmelymle- tedtoflndegxuofedfiemntmtiuflmwm supported. Ihegenenlhypothesietlutfatalisnisdirectlymhted totlndegneetdogutisnmsuppated. nugenerellwpoflmesiethatfetelimisinmlymle— tedtotl‘ndegmeoffmmlpatioipetimwasmtswported. Perl-Iypdtheeesl, 11,111, V,VIIa)dVIII,thefindingeegzeed uifittiupxedicmdpoeition, i.e.. mainzmorthrmlntionsm aimifiomtly differs-rt 1mm. ‘Ihe zero order correlations for Hypotheses IV, VI and IX were not significantly different frun zero. 67 However, all these correlations mm in the predicted direction. lhe failure to establish the expected releticnship in Hypotheses IV, VI and IX might be (he to the following reesms: (l) the present thesilweeexploreroocyinnatmmdfimweslittlepastreseardmto guide its design; (2) the variables were poor predictors, the percent- agesoffluvardmeaqalaimdmgenmllymylm. Trufindingsofell‘tmninehypomeseswfllbeexplainedin m detail. The fella-ring interpretetims em based mainly on the texture of the dependem: and the independent variables and on the results of the statistical analysis. General Hypothesis 1: Degwreg 9i fetelism varies inversely with Ewggfmctianllitm. Enpirical Hypothesis I was supported. Fatalism is inversely reletedtoliterecy. Generally speaking, literacy wasmirportant determrt in the individual. levels of fatalism. chticnal literacy unskinemgivetheindividmltmmilitytomtiaulizeeboutthe utmofhimelfmdhisamcepecitiestommagehislife. What eartmlling the relationship of fatalisn and functional litencymetm,itwesfamdtlutsocielststmdoeseffectthis W111). This finding suggests that the effect of fatelism on Maniliterecyieminimalmdthattlnstrengthofthezomorder melatimiseftnzdmofststm. Wevidenoeoffliisisoon- sidendbythemletimbetmenstatmmdfinctiaullitemcyham. Mambollingthemlationshipoffxtelismandliterecym sge,itmsfamdtlmtegedoesmteffectthisnlationship. 68 Gammlflypothesis II Germlflypothesisllz mgfmflsmvaries inversglywith m£M° Espirioal Hypothesis II was supported. («laterally speaking, W was an imtnnt determinant of the individual lava]. of fatalism. Emsthymygiwflmoindividmltmwilitytoa‘ganiumdoumlhis Mommtohispemptimofathwihdividmlsandtohisper- septimofhowtheymypmivnhim. manomtroningthemlatimshipod'fatalismmdlitmoym status, it was fom'xd that social status does affect this relationship. This finding suggests that tho effects of fatalism on empdhy are ldnimlandtlutthestnngthoffluuromdoroommimisafmc- tim of status. Further proof of this is evidenced by the correlation between status and swathy (.595). Inthisoaseasintl‘nfollovingoases, trnfacttmtstatus affects the relatimship between tho dependent and independant variables reflects tho existanos of inportant oocio—cnfltxml—eomomic factom in the process of mdorniutim. Sim fatalism and statm, the latter a summits momma of sooio—mltml-ooonosdo factors, am highly doom- lnted (-.32) we mld expect stems to haw omsiderabls effect on the hypothesized relationships. Age does not affect the rslaticnship between empathy and functional litemcy. Guml Wis III Banzai Hypotrasis III: 99.532. 9!; fatalism vsrigg inversely with m 95 ms: media exposun. 69 Enpirical Hypothesis III was supported. Mass media exposure was an inpatmt deternfimrt of the individnl level of fatalism. Mass mediaemmcangivotmindividualthoabflitytolmowhmomer individuals live and how they 301w tho kind of problem whidm daily confxmttlm. Thistmdarstandingfidllpendtflmindiviamltome different alternatives in the mgmizatim of his life. Status does affect the mlationship between fatalisn and mass Mil eaquosm. Tnis finding suggeststruttha effects offmlimmmssmdinmm mdrfimalmdtruttmstrmagthofthemordermhtimiaa Mien of status. Wr proof of this is evichnacd by the correla- ticn between state and mass media exposure (.557). Age docs mt affect this mla‘da'ship. Gamma]. Hypothesis IV Genital Hypothesis IV: PEEK! 95 imativeness varies inversely with degree 95 fataliam. Enpirionl Hypothesis IV was not supported. Fataliam is not a. predictor of the individual lewl of innovatimsa. It may be other factwa smdmasmxmofflncounmity, Weapacfiy, needofthe im'mtim which will pndict the individual levels of innovatimss. Mmmauggeattlutlooialpmsamsmflnrthanindividtml Matimmmimtmdimofimmtimssinthe ample studied. Statm (has not affect the mlatimship between fatalism and immtimesa. Ago do“ not affect this relationship. 70 General thrpothssis V Gamml Hypothesis V: Dams“ _o_f' educational agitation-1 varies inversely with degree of. fatalism. Espirioal Hypothesis V was awpor'tsd. Patslism is a predictor of emoatimal aspiratim for children. The higher the lsval of fats- lies, the lower the lsvol of educational aspirations. Educational aspi- rations for ons’s dmildren pmsunably reflect in the respondent a modem outlook. Such an attituds mflsots to some extent. a feeling that the individual has some control over his behavior and over future conditims. the fact that he realizes his diildmn my achieve such a state suggests thatifhsmminMrpofltimheooulddolflwise. 'meomtrol variable status does affect the mlationship between fatalism and educa— tional aspiration. This finding suggests that both fatalism and stats affect educational aSpiratim. fixismmsfinttheindivichul'ssooialpositioninhisoosmity can lesson the effect of fatalism upon the level of educational aspira- tion. Age too intervenes in this rolaticmship. When these two variables immintmmlationshipitismmmstatoiffilishypothesisis true or not unless a more complex [ultimate analysis is used to detect the mlltialship betwesn the omoepts. Germ'al Mamie VI (immoral Hypothuis VI: 2&ng aspiration mics invarialy with M of. fatalism. Enpir'ioal Hypothesis VI was not supported. Fatalism in this case is not a predictor of the iniividual's dasimd level of oompatiaml prestige forhis diildmn. Again ithouldappearflmt factors otherthan 71 fatslism pm dict levels of commotioml aspirations . idhen omtmlling on status it was found that status class not affect the relationship be- tween 1?; ism and oooupaticxml aspiration. Ago does not affect this relationship either. Faybe occqrcrtimal aspiration will be hitter pre- dicted by norm of the ommxity ami other social system variables . Since the three oonmlities of the i zsent stuiy am agrioaltusl oom- annuities, it miglt be that the merit)! levels of ooowatim sepimdms is for agriculthal writ only. GermlflypothesisVII WWW: mgadfiemntmtiMVar-ies Mfiflfimfm Minion Hypothesis VII was supported. Addovomnt activation infimisoaseisaprsdiotoroffattalisn. Adiiovomntmtivatimistm intutozstatnadinlifswmdminpliesmtflupommbeliovesm hassomomtroloverhishxtmlife. Inflxisoasestatmoffeotsme Wald]? between fatalism and achievement activation. This finding mggeststhatttneffsctsofrdtalimonadiiovsmmivatimmmin- mlmmtflnmmdmmmmmimisahmotim cram. erotsssiaemmbymmmmbe- tween status and addevemmt activation (.283). This mans that fatalismwillbs better predictedmsn social stmiswedasapmdictor. Agecbesnotaffectthemlatimship. General Hypothesis VIII Sunni Hypothesis VIII: m 21: dogmatism varies inversely with 93%. 95 fatalism. 72 Widen]. Hypothesis VIII was supported. Dogmatism in general isaserygoodpmdictoroffatalism; finbestpmdiotorinfiepmsent study. This mlatimship is not influenced by either- ags or status. 102041313 the individual'e level of dogmtism it is possible to predict the iniivicmal's level of fatalisn. The individual who oamot establish aoleardifforentatimbetweenhisbelisfanddisbelief systemis not capable of a national and clear amnlysis of his capacities as an in- dividml toplmandoontmlhis future. General Hypothesis IX General Hypothesis IX: Rem 9_i_'_ fomal participatim varies inversely with degree 9_i_'_ fatalism. Enpirioal Hypothesis IX was not supported. Formal participatim ismtaprediotoroffatalism. Inthiscaseetatusdoesmtaffecttm mlatimship between fatalism and form). participation but age does affect therelatimship. Agsomndbeinthiscasoabetter predictor of formal participatim. Wmagmmlobsomtioninflmmmity,an ewlmationforthimfividual'aladcofformlpartieipatimwuldbe thefolloving: (Dtheindividual'sladcoftimto participate; (2) thtinofthemetingugenemllyatnightdmenpeoplemtimdand mfertorsst. mtlnothu‘handitiapossiblotoomsiderrogardlessoftm indivimal level of fatalisn, that the inhabitants of the three ocummi- tiesludalavtmdenoytooo-nicatemdtopartioipateinommizatias Mmmfmfimmmmdmmaiingfwm Omclusions Three general oaxolusims can be drum from the foregoing analysis. 73 1. Fatalism is not an inteming variable in the process of moemizatim, when equathy, hmimal literacy and *cs media exposure are the antecedents and the conseqmnts are immativeness , educatica’al aspiration, occupartimal aspi- ratim, addevemnt activation, formal. particigation and 2. Statm does affect the relationship betwen the dependent variable of fatalism and the independent variables. This mansthattl'xestxmg‘mofthenlatimshipbetmmtm depaxientandtheindependentvariablesisinpartdmto status. But age is much less inqmtant as m intervening variable between fatalisn and other mdemizctim variables. 3. AccoNing to the mmlts of the lultiple comlatim arulyses, the antecedents of mass media exposure, {meticu- alliterecyandenpathympcwpmdictomoffatalism. We to the results of mltiple correlation analyses, fatalisn is not a strong predictor (when carbined with othw predictor variables) of the meqmnt variables of mmativeness, onetime). uphedm, oompaticnal aspi- radar, schism mtivatim and formal pmdcipatim. Patalisnisamlativelygoodpmdictorofdomtism. Putm'e Passe-arm The findings of the present investigatim are suggestive of hmther research. W the present study it was questioned whether the joint effect of mass mdia, litemcy and enpathy at the in- dividual level would be related to the individtal level of fatalism. 7h What happens mush the joint effect of literacy, apathy and sass moia act to do comes the irrlividual's love 1 of fatalism, but the cnvimrmcnt in which the individual is hissing does not pemit him to satisfy his aspirations? The joint effect of empathy, literacy and sass maria can teach people in developing. oomtr ics of the note rial: stir: gags Ive-timer: themselves and the sore developed countries in the world. If this phermenon does in fact occur, then it is possible to go on to question what the audi one. does t. it}; the porch oozed gaps. Figure 2 starts with the joint effect of noes media, empathy and literacy widen activate the individual to satisfy a new need. To satisfy this notivatim, an effective seems is necessary. When this mans does not exist or is not effective, the person becomes frustrated. In this case two different responses are possible: aggressim or passiveness. If the person respmds passively, then a fatalistic attitude dewlopes. frustration which occurs as a result of the existence of a goal that cannot be satisfied refers to the imividual’s peroeptim of two factors: his aspirations and the 1w: of seams to satisfy than. 'Il’rese subjective permptiom are the result of external stimuli as well as the individual's personal perceptual processes. The perceptual processes that filter the external stimli can in turn be influenced by t. e drive state of the indivicnml. Therefore, since desires and goals refer directly to aspirations, the factors that influence the individusl's subjective evaluative process must be taken into account. In this light it is possible to see the com‘xectim between the individual's aspiretims and the cages of frustration. The relationship between aspirations and passiveness, as well as between aspiratim and fiustretim, is inverse. If aspimtions are looked ébggfiglsuoi a. use «/ eggs 533. one 33?!!! 533mg Allian- ’33,. \ \ \ s m Kg, u 76 upmasakindcfnotimtim, this camctionwfllbemre clear, given that mtivatims require an active position of the individual in order for him to derive satisfactim. As the individual become frustrated with respect to the satisfaction of 3 activation, he becomes passively activated to satisfy that notivatim. The following hypotheses could be teed in future research in ordertotestthegmmlrelatimshipsbetweenflze joint effects of mass media cxpcem, eupathy and literacy md the level of fatalism. 1. The greater the level of mass media exposure, cupathy and literacy, the greater the indivichal's aspimticms. 2. The greater the exposure to 1113.53 media, empathy and literacy, the gutter the wares-less of the mterialistic differences between developed and developing countries. 3. Given that aspirations include goals that require some specific means to achiwa satiafactim, the greater the perceived accessibility of mana to satisfy aspirations, the lower the level of frusuaticn. u. '11: larger-the periodof frustratim, the higherthc level of fatalian. Iuplications for fiction 'Ihe findings of the present study do not permit mlusive statement regarding the role of fatalism in the process of mdernization. However, the evidence clearly suggests that fatalism is related to such variables as smartly, mass nedia exposure, functional literacy, educa- tional aspiration, adfiovenent motivation and dognatism. Since these variables are considered important in modernization, 77 change agencies might well take level of fatalism into account in their attenpts to influence people. In particular, attention ought to be given to the variws dinensiom of fatalism, for variation on these dinensions may well dictate different (image agmt strategies . According- 1y, the following strategies for change agents are suggested. 1. Yam the relevance of the dmge introduced at the oonnunal and at the individual level. Generally drmge agents are concerned about this problem at the group level and not at the individual level. This specific hwwledge will permit tl'aem, dwing the process of introducing the change, to focus their attention on those individuals with less personal or economic possibilities for achieving the goals established by the program of chmge. 2. Have a knowleae as profound as possible of the ways that previous program of change have been accepted or rejected inthe oonnmity. Which ofthemhave been successful and vmidlofthemhawbeenfailmes. Inbothcases itwillbe good for the change agent to blow the main reasons for either success or failure. This knotdedge will permit him toavoidthepossiblesourceof failmmdtoputnnreat— tention on that factor of dumge favoring the acceptance of the new situation. 3. Make a ratimal analysis of the possible new situation that is desired. What are the advantages, what are the disad- vmtages, mdwhatarethewaysofedlievingthenewstatus desired by the dmge agent? APPENDIX: THE SCALE 1.“ 2.. 3.. 5..“ 6 t“ 7.‘ 9.. 10.“ 79 Fatalism Scale Items The success in business of a person depends (:1 his luck and not in his intelligerce. When an epidemic or bad luck arrives man has to endure it. When man is born, his life is determined and he can not modify it. New tedmiques and mdfines work better than good weather in asan good crops. mlyiflwinalotteryoemlbetternyomditions. Mancanplmtmmmmbecausethefutmudependsmman. Itisbettertoaooeptfiwfidnpasflleyomeandnottoplan for the future. Tomeplans fortlufutm'ewfllcmeumappixmss. hiring his life, it is better for m to work than to have good luck. When a man behaves badly, illness will punish him. .Item used to measure the supenaml dimension of fatalism. “Item used to measure the situational dimensims of fatalim. Items used to treasure the project negativism dinmmsion of fatalism. BIBLI OGRAF‘Z IY Arensberg, Conrad M. and Niehoff, Arthur H. (1969), Introducing Social Orange, Chicago, Aldine Publishing Oonpany. Canfield, A. A. (1951), "Stern Scale: A Wied C—Scale," Educational and Psychological Measmenent, Vol. II . Durkheim, Emil (1952), Suicide, Translation by John A. Spaulding and George Simpson, London, Routledge and Kegsn Paul Ltd., Emsrms, Garbo J. (1961), Han Takes Control, Minneapolis, University of Mirmesots Press. Pals Bards, Orlando (1955), Peasants Society in the Colombian Andes, Gainesville, University of Florida Press. 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