CORRELATIONS   /VARIABLES=MFQ_HARM_AVG MFQ_FAIRNESS_AVG MFQ_INGROUP_AVG MFQ_AUTHORITY_AVG MFQ_PURITY_AVG SCHWARTZ_ACHIEVE_AVG  SCHWARTZ_BENEV_AVG  SCHWARTZ_CONFORM_AVG  SCHWARTZ_HEDON_AVG  SCHWARTZ_POWER_AVG  SCHWARTZ_SECUR_AVG  SCHWARTZ_SELFDIR_AVG  SCHWARTZ_STIMUL_AVG  SCHWARTZ_TRAD_AVG  SCHWARTZ_UNIVERS_AVG  EPQ_IDEALISM_AVG EPQ_RELATIVISM_AVG GOODSELF_MORAL_TRAIT_IMPORTANCE_AVG GOODSELF_PRAGMATIC_TRAIT_IMPORTANCE_AVG LIFESTYLE_LIBERTY_AV ECON_LIBERTY_AV BIGFIVE_A BIGFIVE_C BIGFIVE_E BIGFIVE_N BIGFIVE_O IRI_EMPATHIC_CONCERN_AVG IRI_FANTASY_AVG IRI_PERSEPCTIVE_TAKING_AVG IRI_PERSONAL_DISTRESS_AVG DISGUST_AVG  HONG_REACTANCE_AVG EMPATHIZER_AVG SYSTEMIZER_AVG COGNITION_AVG MORALDILEMMASURVEY_ALL_DILEMMAS_AVG MORALDILEMMASURVEY_IMPERSONAL_AV    G MORALDILEMMASURVEY_PERSONAL_AVG CRT_TOTAL INDCOLL_COLL_HORIZ_AVG INDCOLL_COLL_VERT_AVG INDCOLL_IND_HORIZ_AVG INDCOLL_IND_VERT_AVG ALLHUMANS_COMMUNITY_AVG ALLHUMANS_COUNTRY_AV    G  ALLHUMANS_WORLD_AVG LOH_FAMILY_AVG LOH_FRIENDS_AVG LOH_OTHERS_AVG LOH_ROMANCE_AVG   /PRINT=TWOTAIL NOSIG   /MISSING=PAIRWISE.


Correlations


Notes
Output Created 26-Jun-2011 14:21:29
Comments
Input Data C:\Users\Ravi\Desktop\Libertarians Revision\Libertarians Revision w Cogref.sav
Active Dataset DataSet4
Filter politics4way>0 (FILTER)
Weight <none>
Split File <none>
N of Rows in Working Data File 147834
Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics for each pair of variables are based on all the cases with valid data for that pair.
Syntax CORRELATIONS
/VARIABLES=MFQ_HARM_AVG MFQ_FAIRNESS_AVG MFQ_INGROUP_AVG MFQ_AUTHORITY_AVG MFQ_PURITY_AVG
SCHWARTZ_ACHIEVE_AVG SCHWARTZ_BENEV_AVG SCHWARTZ_CONFORM_AVG SCHWARTZ_HEDON_AVG SCHWARTZ_POWER_AVG
SCHWARTZ_SECUR_AVG SCHWARTZ_SELFDIR_AVG SCHWARTZ_STIMUL_AVG SCHWARTZ_TRAD_AVG SCHWARTZ_UNIVERS_AVG
EPQ_IDEALISM_AVG EPQ_RELATIVISM_AVG GOODSELF_MORAL_TRAIT_IMPORTANCE_AVG GOODSELF_PRAGMATIC_TRAIT_IMPORTANCE_AVG
LIFESTYLE_LIBERTY_AV ECON_LIBERTY_AV
BIGFIVE_A BIGFIVE_C BIGFIVE_E BIGFIVE_N BIGFIVE_O
IRI_EMPATHIC_CONCERN_AVG IRI_FANTASY_AVG IRI_PERSEPCTIVE_TAKING_AVG IRI_PERSONAL_DISTRESS_AVG DISGUST_AVG
HONG_REACTANCE_AVG EMPATHIZER_AVG SYSTEMIZER_AVG COGNITION_AVG MORALDILEMMASURVEY_ALL_DILEMMAS_AVG MORALDILEMMASURVEY_IMPERSONAL_AVG
MORALDILEMMASURVEY_PERSONAL_AVG CRT_TOTAL
INDCOLL_COLL_HORIZ_AVG INDCOLL_COLL_VERT_AVG INDCOLL_IND_HORIZ_AVG INDCOLL_IND_VERT_AVG ALLHUMANS_COMMUNITY_AVG ALLHUMANS_COUNTRY_AVG
ALLHUMANS_WORLD_AVG LOH_FAMILY_AVG LOH_FRIENDS_AVG LOH_OTHERS_AVG LOH_ROMANCE_AVG
/PRINT=TWOTAIL NOSIG
/MISSING=PAIRWISE.
Resources Processor Time 0:00:07.659
Elapsed Time 0:00:06.345


[DataSet4] C:\Users\Ravi\Desktop\Libertarians Revision\Libertarians Revision w Cogref.sav
Correlations
  MFQ - Harm MFQ - Fairness MFQ - Ingroup Loyalty MFQ - Authority MFQ - Purity Schwartz - Achievement Schwartz - Benevolence Schwartz - Conformity Schwartz - Hedonism Schwartz - Power Schwartz - Security Schwartz - Self-Direction Schwartz - Stimulation Schwartz - Tradition Schwartz - Universalism EPQ - Idealism EPQ - Relativism Good Self - Moral Good Self - Pragmatic Lifestyle Liberty Economic/Government Liberty Big Five - Agreeableness Big Five - Conscientiousness Big Five - Extraversion Big Five - Neuroticism Big Five - Openness to Experience IRI - Empathic Concern IRI - Fantasy IRI - Perspective Taking IRI - Personal Distress Disgust Sensitivity Hong Reactance Baron-Cohen Empathizer Baron-Cohen Systemizer Need for Cognition Moral Dilemmas - Utilitarianism Moral Dilemmas (Impersonal) - Utilitarianism Moral Dilemmas (Personal) - Utilitarianism Cognitive Reflection Task Score (out of 3) Collectivism - Horizontal Collectivism - Vertical Individualism - Horizontal Individualism - Vertical Identification with Community Identification with Country Identification with the World Love of Family Love of Friends Love of Generic Others Love of Romantic Partner
MFQ - Harm Pearson Correlation 1 .542** -.017** -.090** .043** -.042** .437** .075** -.009 -.129** .088** .062** .056** .117** .532** .557** .086** .448** -.038 -.035 -.441** .286** .017* .059** .137** .119** .554** .220** .194** .207** .130** -.054** .348** -.193** .012 -.211** -.180** -.189** -.182** .371** .133** -.141** -.315** .220** .103** .483** .101** .206** .523** .160**
Sig. (2-tailed)   .000 .000 .000 .000 .000 .000 .000 .424 .000 .000 .000 .000 .000 .000 .000 .000 .000 .404 .064 .000 .000 .014 .000 .000 .000 .000 .000 .000 .000 .000 .008 .000 .000 .317 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000
N 97036 97036 97036 97036 97036 8428 8428 8428 8428 8428 8428 8428 8427 8428 8428 6679 6679 483 483 2820 2820 21644 21644 21644 21644 21644 4889 4889 4889 4889 22458 2416 7863 7863 7093 3208 3190 3188 8748 2415 2415 2415 2415 10896 10896 10896 2436 2435 2436 2331
MFQ - Fairness Pearson Correlation .542** 1 -.104** -.193** -.135** .030** .283** -.038** .075** -.100** .023* .145** .082** -.051** .495** .407** .122** .313** .023 .118** -.423** .118** .006 .031** .105** .140** .368** .156** .150** .131** .016* .042* .169** -.055** .108** -.029 -.031 -.023 -.062** .199** -.008 -.015 -.184** .101** .017 .382** -.003 .155** .299** .117**
Sig. (2-tailed) .000   .000 .000 .000 .006 .000 .000 .000 .000 .033 .000 .000 .000 .000 .000 .000 .000 .607 .000 .000 .000 .407 .000 .000 .000 .000 .000 .000 .000 .020 .037 .000 .000 .000 .099 .082 .192 .000 .000 .683 .462 .000 .000 .082 .000 .884 .000 .000 .000
N 97036 97036 97036 97036 97036 8428 8428 8428 8428 8428 8428 8428 8427 8428 8428 6679 6679 483 483 2820 2820 21644 21644 21644 21644 21644 4889 4889 4889 4889 22458 2416 7863 7863 7093 3208 3190 3188 8748 2415 2415 2415 2415 10896 10896 10896 2436 2435 2436 2331
MFQ - Ingroup Loyalty Pearson Correlation -.017** -.104** 1 .663** .552** .130** .153** .433** -.090** .297** .386** -.088** -.041** .389** -.189** -.083** -.188** .244** .103* -.159** .296** .085** .079** .077** -.059** -.159** -.036* -.036* -.078** -.028 .181** -.143** .000 .051** -.121** -.039* -.006 -.059** -.067** .208** .418** -.064** .216** .247** .466** -.155** .230** .114** -.013 .076**
Sig. (2-tailed) .000 .000   .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .024 .000 .000 .000 .000 .000 .000 .000 .011 .012 .000 .050 .000 .000 .976 .000 .000 .029 .736 .001 .000 .000 .000 .002 .000 .000 .000 .000 .000 .000 .517 .000
N 97036 97036 97036 97036 97036 8428 8428 8428 8428 8428 8428 8428 8427 8428 8428 6679 6679 483 483 2820 2820 21644 21644 21644 21644 21644 4889 4889 4889 4889 22458 2416 7863 7863 7093 3208 3190 3188 8748 2415 2415 2415 2415 10896 10896 10896 2436 2435 2436 2331
MFQ - Authority Pearson Correlation -.090** -.193** .663** 1 .656** .095** .103** .541** -.148** .303** .431** -.148** -.131** .492** -.214** -.091** -.273** .203** .072 -.279** .275** .070** .134** .047** -.062** -.238** -.071** -.109** -.091** -.014 .214** -.237** -.018 .048** -.203** -.105** -.064** -.119** -.113** .159** .448** -.094** .212** .214** .410** -.183** .142** .014 -.052** .051*
Sig. (2-tailed) .000 .000 .000   .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .115 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .319 .000 .000 .104 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .483 .010 .014
N 97036 97036 97036 97036 97036 8428 8428 8428 8428 8428 8428 8428 8427 8428 8428 6679 6679 483 483 2820 2820 21644 21644 21644 21644 21644 4889 4889 4889 4889 22458 2416 7863 7863 7093 3208 3190 3188 8748 2415 2415 2415 2415 10896 10896 10896 2436 2435 2436 2331
MFQ - Purity Pearson Correlation .043** -.135** .552** .656** 1 .059** .189** .527** -.266** .182** .363** -.169** -.168** .578** -.174** .069** -.413** .242** .073 -.313** .273** .099** .117** .034** -.028** -.189** .067** -.051** -.098** .046** .344** -.168** .035** -.040** -.198** -.209** -.165** -.195** -.148** .173** .447** -.139** .112** .234** .377** -.079** .159** .020 .029 .074**
Sig. (2-tailed) .000 .000 .000 .000   .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .108 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .001 .000 .000 .002 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .316 .149 .000
N 97036 97036 97036 97036 97036 8428 8428 8428 8428 8428 8428 8428 8427 8428 8428 6679 6679 483 483 2820 2820 21644 21644 21644 21644 21644 4889 4889 4889 4889 22458 2416 7863 7863 7093 3208 3190 3188 8748 2415 2415 2415 2415 10896 10896 10896 2436 2435 2436 2331
Schwartz - Achievement Pearson Correlation -.042** .030** .130** .095** .059** 1 .228** .264** .228** .542** .362** .401** .365** .064** .116** -.053** .008 .135* .415** .089* .067 -.072** .213** .214** -.031* .147** -.044* .061** .000 -.116** .103** .010 .035 .108** .199** .061* .089** .024 -.041* .097** .035 .147** .412** .081** .097** .040* .027 .054 -.051 .071*
Sig. (2-tailed) .000 .006 .000 .000 .000   .000 .000 .000 .000 .000 .000 .000 .000 .000 .004 .658 .011 .000 .020 .077 .000 .000 .000 .019 .000 .032 .003 .992 .000 .000 .766 .152 .000 .000 .042 .003 .421 .019 .000 .174 .000 .000 .000 .000 .032 .340 .055 .066 .013
N 8428 8428 8428 8428 8428 10071 10071 10071 10071 10071 10071 10071 10070 10071 10071 2954 2954 352 352 694 694 5608 5608 5608 5608 5608 2382 2382 2382 2382 4630 953 1700 1700 2015 1125 1117 1119 3333 1493 1493 1493 1493 2933 2933 2933 1283 1282 1283 1223
Schwartz - Benevolence Pearson Correlation .437** .283** .153** .103** .189** .228** 1 .466** .071** .023* .457** .268** .174** .419** .543** .403** -.086** .714** .169** -.024 -.220** .437** .131** .199** -.021 .099** .556** .221** .348** .016 .104** -.199** .443** -.074** .049* -.213** -.176** -.193** -.164** .570** .251** -.118** -.215** .407** .324** .458** .227** .433** .581** .359**
Sig. (2-tailed) .000 .000 .000 .000 .000 .000   .000 .000 .021 .000 .000 .000 .000 .000 .000 .000 .000 .002 .519 .000 .000 .000 .000 .120 .000 .000 .000 .000 .428 .000 .000 .000 .002 .029 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000
N 8428 8428 8428 8428 8428 10071 10071 10071 10071 10071 10071 10071 10070 10071 10071 2954 2954 352 352 694 694 5608 5608 5608 5608 5608 2382 2382 2382 2382 4630 953 1700 1700 2015 1125 1117 1119 3333 1493 1493 1493 1493 2933 2933 2933 1283 1282 1283 1223
Schwartz - Conformity Pearson Correlation .075** -.038** .433** .541** .527** .264** .466** 1 -.085** .284** .608** .092** .008 .648** .132** .103** -.266** .517** .122* -.218** .149** .227** .238** .066** -.066** -.146** .161** -.033 .068** -.041* .187** -.287** .166** .051* -.120** -.207** -.176** -.183** -.201** .283** .476** -.064* .087** .284** .373** .041* .248** .071* .156** .112**
Sig. (2-tailed) .000 .000 .000 .000 .000 .000 .000   .000 .000 .000 .000 .434 .000 .000 .000 .000 .000 .022 .000 .000 .000 .000 .000 .000 .000 .000 .104 .001 .047 .000 .000 .000 .035 .000 .000 .000 .000 .000 .000 .000 .014 .001 .000 .000 .027 .000 .011 .000 .000
N 8428 8428 8428 8428 8428 10071 10071 10071 10071 10071 10071 10071 10070 10071 10071 2954 2954 352 352 694 694 5608 5608 5608 5608 5608 2382 2382 2382 2382 4630 953 1700 1700 2015 1125 1117 1119 3333 1493 1493 1493 1493 2933 2933 2933 1283 1282 1283 1223
Schwartz - Hedonism Pearson Correlation -.009 .075** -.090** -.148** -.266** .228** .071** -.085** 1 .287** .185** .309** .411** -.151** .141** -.037* .284** -.148** .163** .281** .036 -.090** -.144** .132** .017 .084** -.069** .112** -.044* .051* -.002 .191** -.046 -.039 -.067** .154** .142** .124** -.055** -.060* -.209** .065* .115** -.105** -.160** -.049** -.040 .063* -.135** .072*
Sig. (2-tailed) .424 .000 .000 .000 .000 .000 .000 .000   .000 .000 .000 .000 .000 .000 .045 .000 .005 .002 .000 .350 .000 .000 .000 .204 .000 .001 .000 .033 .014 .914 .000 .058 .106 .003 .000 .000 .000 .002 .021 .000 .013 .000 .000 .000 .008 .157 .024 .000 .012
N 8428 8428 8428 8428 8428 10071 10071 10071 10071 10071 10071 10071 10070 10071 10071 2954 2954 352 352 694 694 5608 5608 5608 5608 5608 2382 2382 2382 2382 4630 953 1700 1700 2015 1125 1117 1119 3333 1493 1493 1493 1493 2933 2933 2933 1283 1282 1283 1223
Schwartz - Power Pearson Correlation -.129** -.100** .297** .303** .182** .542** .023* .284** .287** 1 .418** .109** .214** .157** -.095** -.208** -.003 -.025 .270** -.061 .123** -.142** .040** .168** .048** -.073** -.163** .046* -.152** .023 .203** .053 -.039 -.019 -.100** .112** .129** .066* -.084** .052* .159** -.046 .472** .052** .123** -.153** .018 -.064* -.205** -.032
Sig. (2-tailed) .000 .000 .000 .000 .000 .000 .021 .000 .000   .000 .000 .000 .000 .000 .000 .874 .642 .000 .108 .001 .000 .003 .000 .000 .000 .000 .024 .000 .260 .000 .104 .106 .432 .000 .000 .000 .027 .000 .045 .000 .079 .000 .005 .000 .000 .510 .022 .000 .261
N 8428 8428 8428 8428 8428 10071 10071 10071 10071 10071 10071 10071 10070 10071 10071 2954 2954 352 352 694 694 5608 5608 5608 5608 5608 2382 2382 2382 2382 4630 953 1700 1700 2015 1125 1117 1119 3333 1493 1493 1493 1493 2933 2933 2933 1283 1282 1283 1223
Schwartz - Security Pearson Correlation .088** .023* .386** .431** .363** .362** .457** .608** .185** .418** 1 .254** .115** .434** .187** .059** -.127** .415** .223** -.086* .176** .165** .245** .149** -.036** -.124** .133** .028 .016 -.020 .230** -.163** .181** -.034 -.171** -.117** -.086** -.114** -.245** .279** .310** -.067** .164** .254** .371** .030 .168** .143** .091** .145**
Sig. (2-tailed) .000 .033 .000 .000 .000 .000 .000 .000 .000 .000   .000 .000 .000 .000 .001 .000 .000 .000 .023 .000 .000 .000 .000 .006 .000 .000 .168 .442 .338 .000 .000 .000 .160 .000 .000 .004 .000 .000 .000 .000 .009 .000 .000 .000 .110 .000 .000 .001 .000
N 8428 8428 8428 8428 8428 10071 10071 10071 10071 10071 10071 10071 10070 10071 10071 2954 2954 352 352 694 694 5608 5608 5608 5608 5608 2382 2382 2382 2382 4630 953 1700 1700 2015 1125 1117 1119 3333 1493 1493 1493 1493 2933 2933 2933 1283 1282 1283 1223
Schwartz - Self-Direction Pearson Correlation .062** .145** -.088** -.148** -.169** .401** .268** .092** .309** .109** .254** 1 .449** -.055** .386** .070** .153** .038 .375** .390** .113** -.009 .086** .143** -.082** .443** .057** .108** .105** -.177** -.082** .198** .082** .105** .271** .011 .007 .015 -.098** .045 -.206** .411** .075** .000 .008 .146** -.035 .073** .082** .105**
Sig. (2-tailed) .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000   .000 .000 .000 .000 .000 .473 .000 .000 .003 .481 .000 .000 .000 .000 .006 .000 .000 .000 .000 .000 .001 .000 .000 .704 .822 .627 .000 .085 .000 .000 .004 .976 .682 .000 .206 .009 .003 .000
N 8428 8428 8428 8428 8428 10071 10071 10071 10071 10071 10071 10071 10070 10071 10071 2954 2954 352 352 694 694 5608 5608 5608 5608 5608 2382 2382 2382 2382 4630 953 1700 1700 2015 1125 1117 1119 3333 1493 1493 1493 1493 2933 2933 2933 1283 1282 1283 1223
Schwartz - Stimulation Pearson Correlation .056** .082** -.041** -.131** -.168** .365** .174** .008 .411** .214** .115** .449** 1 -.076** .305** .010 .181** .088 .384** .216** -.038 .020 -.043** .272** -.104** .338** .061** .150** .118** -.154** -.119** .131** .103** .132** .240** .080** .083** .049 -.031 .163** -.133** .154** .128** .041* .000 .193** .000 .129** .112** .060*
Sig. (2-tailed) .000 .000 .000 .000 .000 .000 .000 .434 .000 .000 .000 .000   .000 .000 .594 .000 .100 .000 .000 .315 .142 .001 .000 .000 .000 .003 .000 .000 .000 .000 .000 .000 .000 .000 .007 .005 .098 .075 .000 .000 .000 .000 .028 .998 .000 .989 .000 .000 .037
N 8427 8427 8427 8427 8427 10070 10070 10070 10070 10070 10070 10070 10070 10070 10070 2954 2954 352 352 694 694 5608 5608 5608 5608 5608 2382 2382 2382 2382 4630 953 1700 1700 2015 1125 1117 1119 3333 1493 1493 1493 1493 2933 2933 2933 1283 1282 1283 1223
Schwartz - Tradition Pearson Correlation .117** -.051** .389** .492** .578** .064** .419** .648** -.151** .157** .434** -.055** -.076** 1 .102** .122** -.271** .415** .069 -.255** .109** .230** .101** -.014 -.060** -.178** .151** -.037 .086** .026 .163** -.255** .111** -.021 -.201** -.203** -.193** -.166** -.181** .260** .418** -.145** -.031 .269** .343** .062** .172** .072** .193** .082**
Sig. (2-tailed) .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000   .000 .000 .000 .000 .195 .000 .004 .000 .000 .302 .000 .000 .000 .074 .000 .208 .000 .000 .000 .382 .000 .000 .000 .000 .000 .000 .000 .000 .227 .000 .000 .001 .000 .010 .000 .004
N 8428 8428 8428 8428 8428 10071 10071 10071 10071 10071 10071 10071 10070 10071 10071 2954 2954 352 352 694 694 5608 5608 5608 5608 5608 2382 2382 2382 2382 4630 953 1700 1700 2015 1125 1117 1119 3333 1493 1493 1493 1493 2933 2933 2933 1283 1282 1283 1223
Schwartz - Universalism Pearson Correlation .532** .495** -.189** -.214** -.174** .116** .543** .132** .141** -.095** .187** .386** .305** .102** 1 .452** .176** .429** .125* .005 -.514** .270** .055** .127** .026 .321** .500** .228** .353** .032 -.060** -.074* .339** -.035 .161** -.116** -.097** -.106** -.155** .387** -.013 -.022 -.324** .209** .084** .579** .051 .207** .525** .181**
Sig. (2-tailed) .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000   .000 .000 .000 .019 .889 .000 .000 .000 .000 .055 .000 .000 .000 .000 .116 .000 .023 .000 .153 .000 .000 .001 .000 .000 .000 .623 .401 .000 .000 .000 .000 .069 .000 .000 .000
N 8428 8428 8428 8428 8428 10071 10071 10071 10071 10071 10071 10071 10070 10071 10071 2954 2954 352 352 694 694 5608 5608 5608 5608 5608 2382 2382 2382 2382 4630 953 1700 1700 2015 1125 1117 1119 3333 1493 1493 1493 1493 2933 2933 2933 1283 1282 1283 1223
EPQ - Idealism Pearson Correlation .557** .407** -.083** -.091** .069** -.053** .403** .103** -.037* -.208** .059** .070** .010 .122** .452** 1 .125** .317** .011 .033 -.170** .276** .027* .054** .061** .083** .425** .127** .175** .152** .119** -.062 .262** -.097** -.008 -.269** -.239** -.217** -.240** .308** .130** -.089** -.308** .185** .067** .411** .027 .125** .406** .086**
Sig. (2-tailed) .000 .000 .000 .000 .000 .004 .000 .000 .045 .000 .001 .000 .594 .000 .000   .000 .000 .841 .395 .000 .000 .046 .000 .000 .000 .000 .000 .000 .000 .000 .122 .000 .000 .718 .000 .000 .000 .000 .000 .000 .001 .000 .000 .000 .000 .383 .000 .000 .006
N 6679 6679 6679 6679 6679 2954 2954 2954 2954 2954 2954 2954 2954 2954 2954 8078 8078 320 320 657 657 5397 5397 5397 5397 5397 2570 2570 2570 2570 4330 617 1915 1915 2250 882 879 880 2443 1494 1494 1494 1494 3603 3603 3603 1055 1054 1055 1010
EPQ - Relativism Pearson Correlation .086** .122** -.188** -.273** -.413** .008 -.086** -.266** .284** -.003 -.127** .153** .181** -.271** .176** .125** 1 -.162** .022 .229** -.164** -.057** -.083** -.020 .039** .053** -.043* .035 .037 .034 -.163** .120** -.022 -.073** -.021 .221** .131** .242** -.065** -.109** -.208** .089** -.084** -.152** -.266** .078** -.012 .088** -.033 -.027
Sig. (2-tailed) .000 .000 .000 .000 .000 .658 .000 .000 .000 .874 .000 .000 .000 .000 .000 .000   .004 .693 .000 .000 .000 .000 .148 .004 .000 .028 .074 .057 .088 .000 .003 .339 .001 .318 .000 .000 .000 .001 .000 .000 .001 .001 .000 .000 .000 .688 .004 .281 .395
N 6679 6679 6679 6679 6679 2954 2954 2954 2954 2954 2954 2954 2954 2954 2954 8078 8078 320 320 657 657 5397 5397 5397 5397 5397 2570 2570 2570 2570 4330 617 1915 1915 2250 882 879 880 2443 1494 1494 1494 1494 3603 3603 3603 1055 1054 1055 1010
Good Self - Moral Pearson Correlation .448** .313** .244** .203** .242** .135* .714** .517** -.148** -.025 .415** .038 .088 .415** .429** .317** -.162** 1 .274** -.172 -.194* .529** .280** .220** -.017 .080 .548** .106* .396** .016 .154** -.211* .576** -.042 .150* -.204* -.154 -.208* -.161* .605** .390** -.180* -.112 .424** .459** .391** .237** .413** .640** .467**
Sig. (2-tailed) .000 .000 .000 .000 .000 .011 .000 .000 .005 .642 .000 .473 .100 .000 .000 .000 .004   .000 .069 .041 .000 .000 .000 .701 .073 .000 .031 .000 .746 .003 .025 .000 .586 .035 .013 .064 .011 .021 .000 .000 .017 .139 .000 .000 .000 .003 .000 .000 .000
N 483 483 483 483 483 352 352 352 352 352 352 352 352 352 352 320 320 606 606 112 112 510 510 510 510 510 415 415 415 415 363 113 167 167 198 148 146 148 206 176 176 176 176 294 294 294 159 159 159 150
Good Self - Pragmatic Pearson Correlation -.038 .023 .103* .072 .073 .415** .169** .122* .163** .270** .223** .375** .384** .069 .125* .011 .022 .274** 1 .060 .083 .027 .250** .402** -.166** .251** -.019 .047 .079 -.246** .027 -.009 .200** .058 .230** .004 -.011 .006 -.071 .115 -.077 .281** .224** .131* .103 .037 -.051 .123 .068 .081
Sig. (2-tailed) .404 .607 .024 .115 .108 .000 .002 .022 .002 .000 .000 .000 .000 .195 .019 .841 .693 .000   .529 .385 .545 .000 .000 .000 .000 .702 .336 .110 .000 .609 .926 .009 .458 .001 .957 .894 .941 .307 .128 .309 .000 .003 .025 .077 .524 .526 .124 .396 .327
N 483 483 483 483 483 352 352 352 352 352 352 352 352 352 352 320 320 606 606 112 112 510 510 510 510 510 415 415 415 415 363 113 167 167 198 148 146 148 206 176 176 176 176 294 294 294 159 159 159 150
Lifestyle Liberty Pearson Correlation -.035 .118** -.159** -.279** -.313** .089* -.024 -.218** .281** -.061 -.086* .390** .216** -.255** .005 .033 .229** -.172 .060 1 .264** -.065* -.087** -.034 -.032 .154** -.030 .065 .055 -.033 -.069* .289** -.150 -.097 .135** .145** .138** .108** .028 -.088 -.374** .283** .139 -.069 -.125** .049 .022 -.005 .007 .058
Sig. (2-tailed) .064 .000 .000 .000 .000 .020 .519 .000 .000 .108 .023 .000 .000 .000 .889 .395 .000 .069 .529   .000 .022 .002 .227 .254 .000 .467 .112 .182 .421 .028 .000 .096 .284 .005 .000 .000 .001 .403 .363 .000 .003 .152 .101 .003 .249 .748 .942 .922 .401
N 2820 2820 2820 2820 2820 694 694 694 694 694 694 694 694 694 694 657 657 112 112 3732 3732 1236 1236 1236 1236 1236 599 599 599 599 1003 620 125 125 419 992 987 988 914 108 108 108 108 562 562 562 220 219 220 209
Economic/Government Liberty Pearson Correlation -.441** -.423** .296** .275** .273** .067 -.220** .149** .036 .123** .176** .113** -.038 .109** -.514** -.170** -.164** -.194* .083 .264** 1 -.166** .072* -.048 -.082** -.135** -.360** -.117** -.171** -.055 .083** .174** -.221* .004 -.140** .024 .017 .026 -.032 -.271** .027 .217* .319** -.148** -.056 -.549** .032 -.092 -.418** -.111
Sig. (2-tailed) .000 .000 .000 .000 .000 .077 .000 .000 .350 .001 .000 .003 .315 .004 .000 .000 .000 .041 .385 .000   .000 .012 .091 .004 .000 .000 .004 .000 .175 .008 .000 .013 .963 .004 .450 .600 .407 .335 .004 .781 .024 .001 .000 .186 .000 .636 .174 .000 .110
N 2820 2820 2820 2820 2820 694 694 694 694 694 694 694 694 694 694 657 657 112 112 3732 3732 1236 1236 1236 1236 1236 599 599 599 599 1003 620 125 125 419 992 987 988 914 108 108 108 108 562 562 562 220 219 220 209
Big Five - Agreeableness Pearson Correlation .286** .118** .085** .070** .099** -.072** .437** .227** -.090** -.142** .165** -.009 .020 .230** .270** .276** -.057** .529** .027 -.065* -.166** 1 .168** .170** -.308** .070** .491** .084** .437** -.079** -.059** -.393** .550** -.052** .014 -.211** -.154** -.207** -.048** .577** .276** -.171** -.311** .353** .299** .349** .280** .296** .597** .237**
Sig. (2-tailed) .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .481 .142 .000 .000 .000 .000 .000 .545 .022 .000   .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .002 .381 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000
N 21644 21644 21644 21644 21644 5608 5608 5608 5608 5608 5608 5608 5608 5608 5608 5397 5397 510 510 1236 1236 29043 29043 29043 29043 29043 4276 4276 4276 4276 12119 2026 3405 3405 3675 1899 1891 1889 6122 2178 2178 2178 2178 5899 5899 5899 1546 1544 1546 1474
Big Five - Conscientiousness Pearson Correlation .017* .006 .079** .134** .117** .213** .131** .238** -.144** .040** .245** .086** -.043** .101** .055** .027* -.083** .280** .250** -.087** .072* .168** 1 .142** -.237** -.027** .057** -.136** .088** -.264** -.006 -.251** .212** .138** .145** -.145** -.099** -.147** -.083** .095** .041 .082** .018 .115** .128** .045** .057* .079** .074** .126**
Sig. (2-tailed) .014 .407 .000 .000 .000 .000 .000 .000 .000 .003 .000 .000 .001 .000 .000 .046 .000 .000 .000 .002 .012 .000   .000 .000 .000 .000 .000 .000 .000 .507 .000 .000 .000 .000 .000 .000 .000 .000 .000 .058 .000 .405 .000 .000 .000 .025 .002 .004 .000
N 21644 21644 21644 21644 21644 5608 5608 5608 5608 5608 5608 5608 5608 5608 5608 5397 5397 510 510 1236 1236 29043 29043 29043 29043 29043 4276 4276 4276 4276 12119 2026 3405 3405 3675 1899 1891 1889 6122 2178 2178 2178 2178 5899 5899 5899 1546 1544 1546 1474
Big Five - Extraversion Pearson Correlation .059** .031** .077** .047** .034** .214** .199** .066** .132** .168** .149** .143** .272** -.014 .127** .054** -.020 .220** .402** -.034 -.048 .170** .142** 1 -.239** .188** .197** .076** .085** -.287** -.061** -.032 .306** .025 .107** -.084** -.056* -.085** -.101** .363** .032 -.030 .025 .256** .191** .187** .129** .309** .278** .196**
Sig. (2-tailed) .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .302 .000 .000 .148 .000 .000 .227 .091 .000 .000   .000 .000 .000 .000 .000 .000 .000 .155 .000 .144 .000 .000 .015 .000 .000 .000 .135 .163 .239 .000 .000 .000 .000 .000 .000 .000
N 21644 21644 21644 21644 21644 5608 5608 5608 5608 5608 5608 5608 5608 5608 5608 5397 5397 510 510 1236 1236 29043 29043 29043 29043 29043 4276 4276 4276 4276 12119 2026 3405 3405 3675 1899 1891 1889 6122 2178 2178 2178 2178 5899 5899 5899 1546 1544 1546 1474
Big Five - Neuroticism Pearson Correlation .137** .105** -.059** -.062** -.028** -.031* -.021 -.066** .017 .048** -.036** -.082** -.104** -.060** .026 .061** .039** -.017 -.166** -.032 -.082** -.308** -.237** -.239** 1 -.054** .107** .184** -.158** .548** .242** .190** -.099** -.174** -.169** .010 .000 .012 -.081** -.040 .074** -.159** .023 -.114** -.110** -.007 -.084** -.091** -.101** -.057*
Sig. (2-tailed) .000 .000 .000 .000 .000 .019 .120 .000 .204 .000 .006 .000 .000 .000 .055 .000 .004 .701 .000 .254 .004 .000 .000 .000   .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .655 .997 .594 .000 .062 .001 .000 .274 .000 .000 .585 .001 .000 .000 .030
N 21644 21644 21644 21644 21644 5608 5608 5608 5608 5608 5608 5608 5608 5608 5608 5397 5397 510 510 1236 1236 29043 29043 29043 29043 29043 4276 4276 4276 4276 12119 2026 3405 3405 3675 1899 1891 1889 6122 2178 2178 2178 2178 5899 5899 5899 1546 1544 1546 1474
Big Five - Openness to Experience Pearson Correlation .119** .140** -.159** -.238** -.189** .147** .099** -.146** .084** -.073** -.124** .443** .338** -.178** .321** .083** .053** .080 .251** .154** -.135** .070** -.027** .188** -.054** 1 .185** .257** .257** -.185** -.144** .123** .177** .238** .506** -.008 -.003 -.012 .081** .124** -.129** .244** -.045* .050** -.011 .267** -.004 .139** .205** .123**
Sig. (2-tailed) .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .073 .000 .000 .000 .000 .000 .000 .000   .000 .000 .000 .000 .000 .000 .000 .000 .000 .730 .898 .611 .000 .000 .000 .000 .037 .000 .407 .000 .868 .000 .000 .000
N 21644 21644 21644 21644 21644 5608 5608 5608 5608 5608 5608 5608 5608 5608 5608 5397 5397 510 510 1236 1236 29043 29043 29043 29043 29043 4276 4276 4276 4276 12119 2026 3405 3405 3675 1899 1891 1889 6122 2178 2178 2178 2178 5899 5899 5899 1546 1544 1546 1474
IRI - Empathic Concern Pearson Correlation .554** .368** -.036* -.071** .067** -.044* .556** .161** -.069** -.163** .133** .057** .061** .151** .500** .425** -.043* .548** -.019 -.030 -.360** .491** .057** .197** .107** .185** 1 .330** .358** .120** .125** -.152** .595** -.132** .102** -.283** -.221** -.261** -.138** .576** .202** -.142** -.324** .367** .327** .566** .297** .303** .693** .247**
Sig. (2-tailed) .000 .000 .011 .000 .000 .032 .000 .000 .001 .000 .000 .006 .003 .000 .000 .000 .028 .000 .702 .467 .000 .000 .000 .000 .000 .000   .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000
N 4889 4889 4889 4889 4889 2382 2382 2382 2382 2382 2382 2382 2382 2382 2382 2570 2570 415 415 599 599 4276 4276 4276 4276 4276 6450 6450 6450 6450 3402 1359 965 965 1590 1038 1033 1035 2105 1168 1168 1168 1168 2324 2324 2324 629 627 629 600
IRI - Fantasy Pearson Correlation .220** .156** -.036* -.109** -.051** .061** .221** -.033 .112** .046* .028 .108** .150** -.037 .228** .127** .035 .106* .047 .065 -.117** .084** -.136** .076** .184** .257** .330** 1 .192** .164** .138** .089** .231** -.114** .076** -.031 -.027 -.024 -.032 .275** .115** -.058* -.031 .156** .114** .238** .094* .208** .254** .190**
Sig. (2-tailed) .000 .000 .012 .000 .000 .003 .000 .104 .000 .024 .168 .000 .000 .074 .000 .000 .074 .031 .336 .112 .004 .000 .000 .000 .000 .000 .000   .000 .000 .000 .001 .000 .000 .002 .316 .380 .442 .137 .000 .000 .046 .295 .000 .000 .000 .018 .000 .000 .000
N 4889 4889 4889 4889 4889 2382 2382 2382 2382 2382 2382 2382 2382 2382 2382 2570 2570 415 415 599 599 4276 4276 4276 4276 4276 6450 6450 6450 6450 3402 1359 965 965 1590 1038 1033 1035 2105 1168 1168 1168 1168 2324 2324 2324 629 627 629 600
IRI - Perspective Taking Pearson Correlation .194** .150** -.078** -.091** -.098** .000 .348** .068** -.044* -.152** .016 .105** .118** .086** .353** .175** .037 .396** .079 .055 -.171** .437** .088** .085** -.158** .257** .358** .192** 1 -.106** -.093** -.189** .479** .043 .240** -.117** -.097** -.098** .020 .389** .120** -.025 -.229** .206** .159** .375** .222** .205** .458** .165**
Sig. (2-tailed) .000 .000 .000 .000 .000 .992 .000 .001 .033 .000 .442 .000 .000 .000 .000 .000 .057 .000 .110 .182 .000 .000 .000 .000 .000 .000 .000 .000   .000 .000 .000 .000 .178 .000 .000 .002 .002 .366 .000 .000 .402 .000 .000 .000 .000 .000 .000 .000 .000
N 4889 4889 4889 4889 4889 2382 2382 2382 2382 2382 2382 2382 2382 2382 2382 2570 2570 415 415 599 599 4276 4276 4276 4276 4276 6450 6450 6450 6450 3402 1359 965 965 1590 1038 1033 1035 2105 1168 1168 1168 1168 2324 2324 2324 629 627 629 600
IRI - Personal Distress Pearson Correlation .207** .131** -.028 -.014 .046** -.116** .016 -.041* .051* .023 -.020 -.177** -.154** .026 .032 .152** .034 .016 -.246** -.033 -.055 -.079** -.264** -.287** .548** -.185** .120** .164** -.106** 1 .376** .069* -.078* -.232** -.291** .023 -.009 .042 -.049* .044 .207** -.269** -.055 -.024 -.061** .028 -.044 -.058 .011 -.013
Sig. (2-tailed) .000 .000 .050 .319 .001 .000 .428 .047 .014 .260 .338 .000 .000 .208 .116 .000 .088 .746 .000 .421 .175 .000 .000 .000 .000 .000 .000 .000 .000   .000 .010 .015 .000 .000 .450 .785 .179 .024 .133 .000 .000 .061 .240 .003 .181 .274 .145 .778 .755
N 4889 4889 4889 4889 4889 2382 2382 2382 2382 2382 2382 2382 2382 2382 2382 2570 2570 415 415 599 599 4276 4276 4276 4276 4276 6450 6450 6450 6450 3402 1359 965 965 1590 1038 1033 1035 2105 1168 1168 1168 1168 2324 2324 2324 629 627 629 600
Disgust Sensitivity Pearson Correlation .130** .016* .181** .214** .344** .103** .104** .187** -.002 .203** .230** -.082** -.119** .163** -.060** .119** -.163** .154** .027 -.069* .083** -.059** -.006 -.061** .242** -.144** .125** .138** -.093** .376** 1 -.002 .075** -.239** -.182** -.171** -.158** -.138** -.136** .064** .192** -.134** .083** .075** .140** -.002 .042 .004 .009 .029
Sig. (2-tailed) .000 .020 .000 .000 .000 .000 .000 .000 .914 .000 .000 .000 .000 .000 .000 .000 .000 .003 .609 .028 .008 .000 .507 .000 .000 .000 .000 .000 .000 .000   .951 .000 .000 .000 .000 .000 .000 .000 .010 .000 .000 .001 .000 .000 .892 .179 .909 .765 .358
N 22458 22458 22458 22458 22458 4630 4630 4630 4630 4630 4630 4630 4630 4630 4630 4330 4330 363 363 1003 1003 12119 12119 12119 12119 12119 3402 3402 3402 3402 32738 1213 5197 5197 5234 1749 1738 1743 6015 1639 1639 1639 1639 4204 4204 4204 1039 1037 1039 997
Hong Reactance Pearson Correlation -.054** .042* -.143** -.237** -.168** .010 -.199** -.287** .191** .053 -.163** .198** .131** -.255** -.074* -.062 .120** -.211* -.009 .289** .174** -.393** -.251** -.032 .190** .123** -.152** .089** -.189** .069* -.002 1 -.296** .000 .017 .149** .119** .132** .021 -.299** -.298** .281** .225** -.244** -.272** -.117** -.153* -.026 -.204** -.132
Sig. (2-tailed) .008 .037 .000 .000 .000 .766 .000 .000 .000 .104 .000 .000 .000 .000 .023 .122 .003 .025 .926 .000 .000 .000 .000 .155 .000 .000 .000 .001 .000 .010 .951   .001 .994 .688 .000 .000 .000 .517 .000 .000 .000 .001 .000 .000 .003 .027 .705 .003 .063
N 2416 2416 2416 2416 2416 953 953 953 953 953 953 953 953 953 953 617 617 113 113 620 620 2026 2026 2026 2026 2026 1359 1359 1359 1359 1213 3685 130 130 582 943 941 940 927 207 207 207 207 661 661 661 209 208 209 198
Baron-Cohen Empathizer Pearson Correlation .348** .169** .000 -.018 .035** .035 .443** .166** -.046 -.039 .181** .082** .103** .111** .339** .262** -.022 .576** .200** -.150 -.221* .550** .212** .306** -.099** .177** .595** .231** .479** -.078* .075** -.296** 1 -.206** .075** -.141 -.108 -.128 -.160** .490** .134** -.159** -.242** .335** .281** .397** .266** .336** .494** .301**
Sig. (2-tailed) .000 .000 .976 .104 .002 .152 .000 .000 .058 .106 .000 .001 .000 .000 .000 .000 .339 .000 .009 .096 .013 .000 .000 .000 .000 .000 .000 .000 .000 .015 .000 .001   .000 .000 .058 .150 .084 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000
N 7863 7863 7863 7863 7863 1700 1700 1700 1700 1700 1700 1700 1700 1700 1700 1915 1915 167 167 125 125 3405 3405 3405 3405 3405 965 965 965 965 5197 130 8870 8870 5185 182 180 182 1374 1259 1259 1259 1259 2435 2435 2435 1027 1026 1027 990
Baron-Cohen Systemizer Pearson Correlation -.193** -.055** .051** .048** -.040** .108** -.074** .051* -.039 -.019 -.034 .105** .132** -.021 -.035 -.097** -.073** -.042 .058 -.097 .004 -.052** .138** .025 -.174** .238** -.132** -.114** .043 -.232** -.239** .000 -.206** 1 .333** -.087 -.048 -.121 .308** -.010 .036 .153** .169** .025 .013 -.020 -.085** -.067* -.039 -.035
Sig. (2-tailed) .000 .000 .000 .000 .000 .000 .002 .035 .106 .432 .160 .000 .000 .382 .153 .000 .001 .586 .458 .284 .963 .002 .000 .144 .000 .000 .000 .000 .178 .000 .000 .994 .000   .000 .245 .523 .103 .000 .720 .202 .000 .000 .218 .537 .317 .006 .033 .210 .269
N 7863 7863 7863 7863 7863 1700 1700 1700 1700 1700 1700 1700 1700 1700 1700 1915 1915 167 167 125 125 3405 3405 3405 3405 3405 965 965 965 965 5197 130 8870 8870 5185 182 180 182 1374 1259 1259 1259 1259 2435 2435 2435 1027 1026 1027 990
Need for Cognition Pearson Correlation .012 .108** -.121** -.203** -.198** .199** .049* -.120** -.067** -.100** -.171** .271** .240** -.201** .161** -.008 -.021 .150* .230** .135** -.140** .014 .145** .107** -.169** .506** .102** .076** .240** -.291** -.182** .017 .075** .333** 1 .039 .076 -.011 .295** .065* -.152** .202** .063* .043* -.020 .135** .055 .110** .148** .119**
Sig. (2-tailed) .317 .000 .000 .000 .000 .000 .029 .000 .003 .000 .000 .000 .000 .000 .000 .718 .318 .035 .001 .005 .004 .381 .000 .000 .000 .000 .000 .002 .000 .000 .000 .688 .000 .000   .350 .064 .785 .000 .016 .000 .000 .019 .036 .344 .000 .095 .001 .000 .000
N 7093 7093 7093 7093 7093 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2250 2250 198 198 419 419 3675 3675 3675 3675 3675 1590 1590 1590 1590 5234 582 5185 5185 8035 589 587 589 1946 1399 1399 1399 1399 2342 2342 2342 926 925 926 897
Moral Dilemmas - Utilitarianism Pearson Correlation -.211** -.029 -.039* -.105** -.209** .061* -.213** -.207** .154** .112** -.117** .011 .080** -.203** -.116** -.269** .221** -.204* .004 .145** .024 -.211** -.145** -.084** .010 -.008 -.283** -.031 -.117** .023 -.171** .149** -.141 -.087 .039 1 .863** .843** .140** -.084 .007 .032 .149* -.176** -.178** -.136** -.107 .029 -.223** -.033
Sig. (2-tailed) .000 .099 .029 .000 .000 .042 .000 .000 .000 .000 .000 .704 .007 .000 .000 .000 .000 .013 .957 .000 .450 .000 .000 .000 .655 .730 .000 .316 .000 .450 .000 .000 .058 .245 .350   .000 .000 .000 .160 .901 .596 .012 .000 .000 .000 .088 .651 .000 .609
N 3208 3208 3208 3208 3208 1125 1125 1125 1125 1125 1125 1125 1125 1125 1125 882 882 148 148 992 992 1899 1899 1899 1899 1899 1038 1038 1038 1038 1749 943 182 182 589 4629 4593 4587 1418 281 281 281 281 827 827 827 254 253 254 243
Moral Dilemmas (Impersonal) - Utilitarianism Pearson Correlation -.180** -.031 -.006 -.064** -.165** .089** -.176** -.176** .142** .129** -.086** .007 .083** -.193** -.097** -.239** .131** -.154 -.011 .138** .017 -.154** -.099** -.056* .000 -.003 -.221** -.027 -.097** -.009 -.158** .119** -.108 -.048 .076 .863** 1 .450** .136** -.034 .017 .076 .164** -.114** -.122** -.090** -.147* -.040 -.204** -.056
Sig. (2-tailed) .000 .082 .736 .000 .000 .003 .000 .000 .000 .000 .004 .822 .005 .000 .001 .000 .000 .064 .894 .000 .600 .000 .000 .015 .997 .898 .000 .380 .002 .785 .000 .000 .150 .523 .064 .000   .000 .000 .571 .779 .204 .006 .001 .000 .009 .019 .529 .001 .387
N 3190 3190 3190 3190 3190 1117 1117 1117 1117 1117 1117 1117 1117 1117 1117 879 879 146 146 987 987 1891 1891 1891 1891 1891 1033 1033 1033 1033 1738 941 180 180 587 4593 4593 4551 1414 280 280 280 280 823 823 823 252 251 252 241
Moral Dilemmas (Personal) - Utilitarianism Pearson Correlation -.189** -.023 -.059** -.119** -.195** .024 -.193** -.183** .124** .066* -.114** .015 .049 -.166** -.106** -.217** .242** -.208* .006 .108** .026 -.207** -.147** -.085** .012 -.012 -.261** -.024 -.098** .042 -.138** .132** -.128 -.121 -.011 .843** .450** 1 .107** -.114 -.008 -.026 .085 -.178** -.181** -.133** -.032 .099 -.172** -.011
Sig. (2-tailed) .000 .192 .001 .000 .000 .421 .000 .000 .000 .027 .000 .627 .098 .000 .000 .000 .000 .011 .941 .001 .407 .000 .000 .000 .594 .611 .000 .442 .002 .179 .000 .000 .084 .103 .785 .000 .000   .000 .056 .897 .659 .156 .000 .000 .000 .611 .118 .006 .866
N 3188 3188 3188 3188 3188 1119 1119 1119 1119 1119 1119 1119 1119 1119 1119 880 880 148 148 988 988 1889 1889 1889 1889 1889 1035 1035 1035 1035 1743 940 182 182 589 4587 4551 4587 1411 281 281 281 281 827 827 827 253 252 253 242
Cognitive Reflection Task Score (out of 3) Pearson Correlation -.182** -.062** -.067** -.113** -.148** -.041* -.164** -.201** -.055** -.084** -.245** -.098** -.031 -.181** -.155** -.240** -.065** -.161* -.071 .028 -.032 -.048** -.083** -.101** -.081** .081** -.138** -.032 .020 -.049* -.136** .021 -.160** .308** .295** .140** .136** .107** 1 -.100** -.081** .004 .079** -.032 -.103** -.077** -.016 -.055 -.035 -.008
Sig. (2-tailed) .000 .000 .000 .000 .000 .019 .000 .000 .002 .000 .000 .000 .075 .000 .000 .000 .001 .021 .307 .403 .335 .000 .000 .000 .000 .000 .000 .137 .366 .024 .000 .517 .000 .000 .000 .000 .000 .000   .001 .005 .880 .007 .130 .000 .000 .638 .108 .311 .826
N 8748 8748 8748 8748 8748 3333 3333 3333 3333 3333 3333 3333 3333 3333 3333 2443 2443 206 206 914 914 6122 6122 6122 6122 6122 2105 2105 2105 2105 6015 927 1374 1374 1946 1418 1414 1411 10816 1169 1169 1169 1169 2233 2233 2233 858 857 858 811
Collectivism - Horizontal Pearson Correlation .371** .199** .208** .159** .173** .097** .570** .283** -.060* .052* .279** .045 .163** .260** .387** .308** -.109** .605** .115 -.088 -.271** .577** .095** .363** -.040 .124** .576** .275** .389** .044 .064** -.299** .490** -.010 .065* -.084 -.034 -.114 -.100** 1 .461** -.193** -.167** .541** .451** .471** .288** .509** .701** .402**
Sig. (2-tailed) .000 .000 .000 .000 .000 .000 .000 .000 .021 .045 .000 .085 .000 .000 .000 .000 .000 .000 .128 .363 .004 .000 .000 .000 .062 .000 .000 .000 .000 .133 .010 .000 .000 .720 .016 .160 .571 .056 .001   .000 .000 .000 .000 .000 .000 .000 .000 .000 .000
N 2415 2415 2415 2415 2415 1493 1493 1493 1493 1493 1493 1493 1493 1493 1493 1494 1494 176 176 108 108 2178 2178 2178 2178 2178 1168 1168 1168 1168 1639 207 1259 1259 1399 281 280 281 1169 2975 2975 2975 2975 1618 1618 1618 704 703 704 673
Collectivism - Vertical Pearson Correlation .133** -.008 .418** .448** .447** .035 .251** .476** -.209** .159** .310** -.206** -.133** .418** -.013 .130** -.208** .390** -.077 -.374** .027 .276** .041 .032 .074** -.129** .202** .115** .120** .207** .192** -.298** .134** .036 -.152** .007 .017 -.008 -.081** .461** 1 -.221** .056** .312** .363** .108** .273** .122** .163** .133**
Sig. (2-tailed) .000 .683 .000 .000 .000 .174 .000 .000 .000 .000 .000 .000 .000 .000 .623 .000 .000 .000 .309 .000 .781 .000 .058 .135 .001 .000 .000 .000 .000 .000 .000 .000 .000 .202 .000 .901 .779 .897 .005 .000   .000 .002 .000 .000 .000 .000 .001 .000 .001
N 2415 2415 2415 2415 2415 1493 1493 1493 1493 1493 1493 1493 1493 1493 1493 1494 1494 176 176 108 108 2178 2178 2178 2178 2178 1168 1168 1168 1168 1639 207 1259 1259 1399 281 280 281 1169 2975 2975 2975 2975 1618 1618 1618 704 703 704 673
Individualism - Horizontal Pearson Correlation -.141** -.015 -.064** -.094** -.139** .147** -.118** -.064* .065* -.046 -.067** .411** .154** -.145** -.022 -.089** .089** -.180* .281** .283** .217* -.171** .082** -.030 -.159** .244** -.142** -.058* -.025 -.269** -.134** .281** -.159** .153** .202** .032 .076 -.026 .004 -.193** -.221** 1 .162** -.170** -.099** -.105** -.057 .023 -.162** -.072
Sig. (2-tailed) .000 .462 .002 .000 .000 .000 .000 .014 .013 .079 .009 .000 .000 .000 .401 .001 .001 .017 .000 .003 .024 .000 .000 .163 .000 .000 .000 .046 .402 .000 .000 .000 .000 .000 .000 .596 .204 .659 .880 .000 .000   .000 .000 .000 .000 .131 .542 .000 .062
N 2415 2415 2415 2415 2415 1493 1493 1493 1493 1493 1493 1493 1493 1493 1493 1494 1494 176 176 108 108 2178 2178 2178 2178 2178 1168 1168 1168 1168 1639 207 1259 1259 1399 281 280 281 1169 2975 2975 2975 2975 1618 1618 1618 704 703 704 673
Individualism - Vertical Pearson Correlation -.315** -.184** .216** .212** .112** .412** -.215** .087** .115** .472** .164** .075** .128** -.031 -.324** -.308** -.084** -.112 .224** .139 .319** -.311** .018 .025 .023 -.045* -.324** -.031 -.229** -.055 .083** .225** -.242** .169** .063* .149* .164** .085 .079** -.167** .056** .162** 1 -.081** .057* -.284** -.005 -.131** -.340** -.060
Sig. (2-tailed) .000 .000 .000 .000 .000 .000 .000 .001 .000 .000 .000 .004 .000 .227 .000 .000 .001 .139 .003 .152 .001 .000 .405 .239 .274 .037 .000 .295 .000 .061 .001 .001 .000 .000 .019 .012 .006 .156 .007 .000 .002 .000   .001 .021 .000 .893 .001 .000 .121
N 2415 2415 2415 2415 2415 1493 1493 1493 1493 1493 1493 1493 1493 1493 1493 1494 1494 176 176 108 108 2178 2178 2178 2178 2178 1168 1168 1168 1168 1639 207 1259 1259 1399 281 280 281 1169 2975 2975 2975 2975 1618 1618 1618 704 703 704 673
Identification with Community Pearson Correlation .220** .101** .247** .214** .234** .081** .407** .284** -.105** .052** .254** .000 .041* .269** .209** .185** -.152** .424** .131* -.069 -.148** .353** .115** .256** -.114** .050** .367** .156** .206** -.024 .075** -.244** .335** .025 .043* -.176** -.114** -.178** -.032 .541** .312** -.170** -.081** 1 .571** .325** .275** .373** .489** .224**
Sig. (2-tailed) .000 .000 .000 .000 .000 .000 .000 .000 .000 .005 .000 .976 .028 .000 .000 .000 .000 .000 .025 .101 .000 .000 .000 .000 .000 .000 .000 .000 .000 .240 .000 .000 .000 .218 .036 .000 .001 .000 .130 .000 .000 .000 .001   .000 .000 .000 .000 .000 .000
N 10896 10896 10896 10896 10896 2933 2933 2933 2933 2933 2933 2933 2933 2933 2933 3603 3603 294 294 562 562 5899 5899 5899 5899 5899 2324 2324 2324 2324 4204 661 2435 2435 2342 827 823 827 2233 1618 1618 1618 1618 12503 12503 12503 1874 1873 1874 1790
Identification with Country Pearson Correlation .103** .017 .466** .410** .377** .097** .324** .373** -.160** .123** .371** .008 .000 .343** .084** .067** -.266** .459** .103 -.125** -.056 .299** .128** .191** -.110** -.011 .327** .114** .159** -.061** .140** -.272** .281** .013 -.020 -.178** -.122** -.181** -.103** .451** .363** -.099** .057* .571** 1 .314** .286** .268** .364** .155**
Sig. (2-tailed) .000 .082 .000 .000 .000 .000 .000 .000 .000 .000 .000 .682 .998 .000 .000 .000 .000 .000 .077 .003 .186 .000 .000 .000 .000 .407 .000 .000 .000 .003 .000 .000 .000 .537 .344 .000 .000 .000 .000 .000 .000 .000 .021 .000   .000 .000 .000 .000 .000
N 10896 10896 10896 10896 10896 2933 2933 2933 2933 2933 2933 2933 2933 2933 2933 3603 3603 294 294 562 562 5899 5899 5899 5899 5899 2324 2324 2324 2324 4204 661 2435 2435 2342 827 823 827 2233 1618 1618 1618 1618 12503 12503 12503 1874 1873 1874 1790
Identification with the World Pearson Correlation .483** .382** -.155** -.183** -.079** .040* .458** .041* -.049** -.153** .030 .146** .193** .062** .579** .411** .078** .391** .037 .049 -.549** .349** .045** .187** -.007 .267** .566** .238** .375** .028 -.002 -.117** .397** -.020 .135** -.136** -.090** -.133** -.077** .471** .108** -.105** -.284** .325** .314** 1 .126** .292** .621** .150**
Sig. (2-tailed) .000 .000 .000 .000 .000 .032 .000 .027 .008 .000 .110 .000 .000 .001 .000 .000 .000 .000 .524 .249 .000 .000 .000 .000 .585 .000 .000 .000 .000 .181 .892 .003 .000 .317 .000 .000 .009 .000 .000 .000 .000 .000 .000 .000 .000   .000 .000 .000 .000
N 10896 10896 10896 10896 10896 2933 2933 2933 2933 2933 2933 2933 2933 2933 2933 3603 3603 294 294 562 562 5899 5899 5899 5899 5899 2324 2324 2324 2324 4204 661 2435 2435 2342 827 823 827 2233 1618 1618 1618 1618 12503 12503 12503 1874 1873 1874 1790
Love of Family Pearson Correlation .101** -.003 .230** .142** .159** .027 .227** .248** -.040 .018 .168** -.035 .000 .172** .051 .027 -.012 .237** -.051 .022 .032 .280** .057* .129** -.084** -.004 .297** .094* .222** -.044 .042 -.153* .266** -.085** .055 -.107 -.147* -.032 -.016 .288** .273** -.057 -.005 .275** .286** .126** 1 .274** .274** .195**
Sig. (2-tailed) .000 .884 .000 .000 .000 .340 .000 .000 .157 .510 .000 .206 .989 .000 .069 .383 .688 .003 .526 .748 .636 .000 .025 .000 .001 .868 .000 .018 .000 .274 .179 .027 .000 .006 .095 .088 .019 .611 .638 .000 .000 .131 .893 .000 .000 .000   .000 .000 .000
N 2436 2436 2436 2436 2436 1283 1283 1283 1283 1283 1283 1283 1283 1283 1283 1055 1055 159 159 220 220 1546 1546 1546 1546 1546 629 629 629 629 1039 209 1027 1027 926 254 252 253 858 704 704 704 704 1874 1874 1874 2776 2774 2776 2659
Love of Friends Pearson Correlation .206** .155** .114** .014 .020 .054 .433** .071* .063* -.064* .143** .073** .129** .072** .207** .125** .088** .413** .123 -.005 -.092 .296** .079** .309** -.091** .139** .303** .208** .205** -.058 .004 -.026 .336** -.067* .110** .029 -.040 .099 -.055 .509** .122** .023 -.131** .373** .268** .292** .274** 1 .417** .318**
Sig. (2-tailed) .000 .000 .000 .483 .316 .055 .000 .011 .024 .022 .000 .009 .000 .010 .000 .000 .004 .000 .124 .942 .174 .000 .002 .000 .000 .000 .000 .000 .000 .145 .909 .705 .000 .033 .001 .651 .529 .118 .108 .000 .001 .542 .001 .000 .000 .000 .000   .000 .000
N 2435 2435 2435 2435 2435 1282 1282 1282 1282 1282 1282 1282 1282 1282 1282 1054 1054 159 159 219 219 1544 1544 1544 1544 1544 627 627 627 627 1037 208 1026 1026 925 253 251 252 857 703 703 703 703 1873 1873 1873 2774 2774 2774 2657
Love of Generic Others Pearson Correlation .523** .299** -.013 -.052** .029 -.051 .581** .156** -.135** -.205** .091** .082** .112** .193** .525** .406** -.033 .640** .068 .007 -.418** .597** .074** .278** -.101** .205** .693** .254** .458** .011 .009 -.204** .494** -.039 .148** -.223** -.204** -.172** -.035 .701** .163** -.162** -.340** .489** .364** .621** .274** .417** 1 .291**
Sig. (2-tailed) .000 .000 .517 .010 .149 .066 .000 .000 .000 .000 .001 .003 .000 .000 .000 .000 .281 .000 .396 .922 .000 .000 .004 .000 .000 .000 .000 .000 .000 .778 .765 .003 .000 .210 .000 .000 .001 .006 .311 .000 .000 .000 .000 .000 .000 .000 .000 .000   .000
N 2436 2436 2436 2436 2436 1283 1283 1283 1283 1283 1283 1283 1283 1283 1283 1055 1055 159 159 220 220 1546 1546 1546 1546 1546 629 629 629 629 1039 209 1027 1027 926 254 252 253 858 704 704 704 704 1874 1874 1874 2776 2774 2776 2659
Love of Romantic Partner Pearson Correlation .160** .117** .076** .051* .074** .071* .359** .112** .072* -.032 .145** .105** .060* .082** .181** .086** -.027 .467** .081 .058 -.111 .237** .126** .196** -.057* .123** .247** .190** .165** -.013 .029 -.132 .301** -.035 .119** -.033 -.056 -.011 -.008 .402** .133** -.072 -.060 .224** .155** .150** .195** .318** .291** 1
Sig. (2-tailed) .000 .000 .000 .014 .000 .013 .000 .000 .012 .261 .000 .000 .037 .004 .000 .006 .395 .000 .327 .401 .110 .000 .000 .000 .030 .000 .000 .000 .000 .755 .358 .063 .000 .269 .000 .609 .387 .866 .826 .000 .001 .062 .121 .000 .000 .000 .000 .000 .000  
N 2331 2331 2331 2331 2331 1223 1223 1223 1223 1223 1223 1223 1223 1223 1223 1010 1010 150 150 209 209 1474 1474 1474 1474 1474 600 600 600 600 997 198 990 990 897 243 241 242 811 673 673 673 673 1790 1790 1790 2659 2657 2659 2659
**. Correlation is significant at the 0.01 level (2-tailed).
*. Correlation is significant at the 0.05 level (2-tailed).