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>W@92.970€€€(€{u™ť,@14.366€€€(€4Řx@3.761€€€€€(€6Íł˘„ű^=.000€€€(€˜Ń16Â':?.000€€€(€—x›ş^ą­?.058€€€€(€ť˝/źęH5.000€€€(€ŠŇŽôH@ś3.000€€€(€…4;iŮĺ5.000€€€€(€ÉÎł˘„ű^=.000€€€(€ÜĎ16Â':?.000€€€(€ˆy›ş^ą­?.058&Test of Between Subjects Fixed Effects+GLM_Table_TestofBetweenSubjectsFixedEffects˙˙PMPivotItemTree˙˙AbstractTreeBranch˙˙PMModelItemInfoçt€€(Dependent Variableű€ý€˙˙˙˙€€(SCAWK1ű€ý€˙˙˙˙€€(SCAMIDű€ý€˙˙˙˙€€(SCADIFF ů€ű€ý€(t€€(Sourceű€ý€ŕt€€(Corrected Modelű€ý€˙˙˙˙€€( Interceptű€ý€˙˙˙˙€€(INITIALHű€ý€÷t€€(Errorű€ý€3t€€(Totalű€ý€át€€(Corrected Total"&ů€ű€ý€,t€€( Statisticsű€ý€;t€€(Type III Sum of Squaresű€ý€ît€€(dfű€ý€t€€( Mean Squareű€ý€ýt€€(Fű€ý€%t€€(Sig./37;?˙˙ DspAnnotation˙˙DspTextComponentHandle€(,R Squared = .646 (Adjusted R Squared = .639)CE€(,R Squared = .220 (Adjusted R Squared = .204)CE€(,R Squared = .069 (Adjusted R Squared = .050)wo K˙˙PVViewDimensionúaaa€N |aaaau|N*dadaad€€(!Tests of Between-Subjects Effects€€(€€(˙˙ PTTableLook6˙˙PVSeparatorStyleZ˙˙ PVCellStyle˙˙˙˙˙ PVTextStyleČx xó˙˙˙ź" Lucida Grande]˙˙˙_Čx ó˙˙˙" Lucida Grande]˙˙˙_Čx ó˙˙˙" Lucida Grande]˙˙˙_Čx ó˙˙˙" Lucida Grande]˙˙˙_Čx ó˙˙˙" Lucida Grande]˙˙˙_Čx ó˙˙˙" Lucida Grande]˙˙˙_Čx ó˙˙˙" Lucida Grande]˙˙˙_Čhh((ó˙˙˙" Lucida Grande(cont.)$H$x˙˙PVPrintManager Ř˙˙˙Ţ˙˙˙Ř˙˙˙((‰a4!ř*ööööđ (Continued)š{\rtf1\ansi\deff0\deftab720\deflang1033{\fonttbl{\f0\fswiss\fcharset0 Arial;}} {\colortbl\red0\green0\blue0;} \pard\qc\plain\f0\fs20\cf0 &[PageTitle] }š{\rtf1\ansi\deff0\deftab720\deflang1033{\fonttbl{\f0\fswiss\fcharset0 Arial;}} {\colortbl\red0\green0\blue0;} \pard\qr\plain\f0\fs20\cf0 Page &[Page] }˙˙NavRoot€€(Output€r˙˙NavHead€€(General Linear Model€wGLM˙˙NavTitleŘ˙˙˙qż˙˙˙€€(Title€|GLMň˙˙˙źLucida GrandeP˝{\rtf1\ansi\deff0\deftab720\deflang1033{\fonttbl{\f0\fnil\fcharset0 Lucida Grande;}} {\colortbl\red0\green0\blue0;} \pard\ql\plain\f0\fs28\cf0 \plain\f0\fs28\cf0\b General Linear Model }˙˙NavNoteŘ˙˙˙J*ţ˙˙€€(Notes€GLM €˙˙˙˙˙˙˙dddd € €€€ €€€€Ŕž÷B06-JUL-2007 09:05:28€€€( €€€(€€€(€€€(€€€(€ d@161€€€(3User-defined missing values are treated as missing.€€€(QStatistics are based on all cases with valid data for all variables in the model.€€€(¤GLM scawk1 scamid scadiff BY initialh /METHOD = SSTYPE(3) /INTERCEPT = INCLUDE /EMMEANS = TABLES(initialh) /CRITERIA = ALPHA(.05) /DESIGN = initialh . €€€ € 0:00:00.00Notes GLM_Notesů€ű€ý€Řt€€(Contentsű€ý€t€€(Output Createdű€ý€t€€(Commentsű€ý€t€€(Inputű€ý€t€€(Dataű€ý€t€€(Filterű€ý€ t€€(Weightű€ý€ t€€( Split Fileű€ý€ t€€(N of Rows in Working Data Fileű€ý€t€€(Missing Value Handlingű€ý€ćt€€(Definition of Missingű€ý€Őt€€( Cases Usedű€ý€ t€€(Syntaxű€ý€t€€( Resourcesű€ý€ t€€( Elapsed Timeű€ý€t€€( Resourcesű€ý€ t€€( Elapsed Time ­ąš˝ÁĹÉŃŐŮáé  áN¨ uaaaaaŠ–aagg–€€(Notes€€(€€(X6ZZ]˙˙˙_Čx xó˙˙˙ź" Lucida Grande]˙˙˙_Čx ó˙˙˙" Lucida Grande]˙˙˙_Čx ó˙˙˙" Lucida Grande]˙˙˙_Čx ó˙˙˙" Lucida Grande]˙˙˙_Čx ó˙˙˙" Lucida Grande]˙˙˙_Čx ó˙˙˙" Lucida Grande]˙˙˙_Čx ó˙˙˙" Lucida Grande]˙˙˙_Čhh((ó˙˙˙" Lucida 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Grande]˙˙˙_Čx ó˙˙˙" Lucida Grande]˙˙˙_Čx ó˙˙˙" Lucida Grande]˙˙˙_Čx ó˙˙˙" Lucida Grande]˙˙˙_Čx ó˙˙˙" Lucida Grande]˙˙˙_Čhh((ó˙˙˙" Lucida Grande(cont.)$H$xoWv€€(Estimated Marginal Means€I{{ű˙˙qbű˙˙€€(Title€MGLMň˙˙˙źLucida GrandePÁ{\rtf1\ansi\deff0\deftab720\deflang1033{\fonttbl{\f0\fnil\fcharset0 Lucida Grande;}} {\colortbl\red0\green0\blue0;} \pard\ql\plain\f0\fs28\cf0 \plain\f0\fs28\cf0\b Estimated Marginal Means }€@ű˙˙“Uú˙˙€€( InitialHiLo€ QGLM €dddd € €€€€€€€€((€:v(CG@2.910€€€(€RŃ  Rěą?.070€€€((€Ě¨g'@2.769€€€((€fXč¨g@3.050€€€€((€]^{îCŘ@3.856€€€(€ŔÜ ÇŒ–ą?.069€€€((€›đhöÉ˝ @3.718€€€((€̍ć˝ň@3.994€€€€€((€÷rŐ2‚@4.127€€€(€ŠĘÜâ!°?.063€€€((€ę†ß|Ś@4.001€€€((€Tg.ż@4.254€€€€((€cF½ŕŘ@4.462€€€(€dí5Y]ŠŻ?.062€€€((€‡UXŔY@4.338€€€((€?7e#X@4.586€€€€€((€ůx÷x@3.945€€€(€"„x6Ą´?.081€€€((€˛´?.079€€€((€f—š d@4.005€€€((€”ý_H†J@4.323Estimated Marginal Means GLM_Table_EstimatedMarginalMeansů€ű€ý€,t€€( Statisticsű€ý€t€€(Meanű€ý€.t€€( Std. Errorű€ý€Öt€€(95% Confidence Intervalű€ý€ t€€( Lower Boundű€ý€=t€€( Upper Bound°´źŔů€ű€ý€˙˙˙˙€€( InitialHiLoű€ý€˙˙˙˙€€(€đ?1ű€ý€˙˙˙˙€€(€@2ÉÍů€ű€ý€çt€€(Dependent Variableű€ý€˙˙˙˙€€(SCAWK1ű€ý€˙˙˙˙€€(SCAMIDű€ý€˙˙˙˙€€(SCADIFFÖÚŢKNŤaaaaONÄaaS€NŃaaa€€€( InitialHiLo€€(€€(X6ZZ]˙˙˙_Čx xó˙˙˙ź" Lucida Grande]˙˙˙_Čx ó˙˙˙" Lucida Grande]˙˙˙_Čx ó˙˙˙" Lucida Grande]˙˙˙_Čx ó˙˙˙" Lucida Grande]˙˙˙_Čx ó˙˙˙" Lucida Grande]˙˙˙_Čx ó˙˙˙" Lucida Grande]˙˙˙_Čx ó˙˙˙" Lucida Grande]˙˙˙_Čhh((ó˙˙˙" Lucida Grande(cont.)$H$xoUv€€(General Linear Model€˙GLM{3ú˙˙qú˙˙€€(Title€GLMň˙˙˙źLucida GrandeP˝{\rtf1\ansi\deff0\deftab720\deflang1033{\fonttbl{\f0\fnil\fcharset0 Lucida Grande;}} {\colortbl\red0\green0\blue0;} \pard\ql\plain\f0\fs28\cf0 \plain\f0\fs28\cf0\b General Linear Model }€Ř˙˙˙J ţ˙˙€€(Notes€GLM €Ndddd € €€€ €€€€€…A÷B10-JUL-2007 08:26:24€€€( €€€(€€€(€€€(€€€(€ d@161€€€(3User-defined missing values are treated as missing.€€€(QStatistics are based on all cases with valid data for all variables in the model.€€€(ŃGLM age langhs lancoll fortrave exchange friends ethnic gender class BY initialh /METHOD = SSTYPE(3) /INTERCEPT = INCLUDE /EMMEANS = TABLES(initialh) /CRITERIA = ALPHA(.05) /DESIGN = initialh . €€€ €đ? 0:00:01.00Notes GLM_Notesů€ű€ý€Řt€€(Contentsű€ý€t€€(Output Createdű€ý€t€€(Commentsű€ý€t€€(Inputű€ý€t€€(Dataű€ý€t€€(Filterű€ý€ t€€(Weightű€ý€ t€€( Split Fileű€ý€ t€€(N of Rows in Working Data Fileű€ý€t€€(Missing Value Handlingű€ý€ćt€€(Definition of Missingű€ý€Őt€€( Cases Usedű€ý€ t€€(Syntaxű€ý€t€€( Resourcesű€ý€ t€€( Elapsed Timeű€ý€t€€( Resourcesű€ý€ t€€( Elapsed Time 37?CGKOW[_go  áN. uaaaaaŠ–aagg–€€(Notes€€(€€(X6ZZ]˙˙˙_Čx xó˙˙˙ź" Lucida Grande]˙˙˙_Čx ó˙˙˙" Lucida Grande]˙˙˙_Čx ó˙˙˙" Lucida Grande]˙˙˙_Čx ó˙˙˙" Lucida Grande]˙˙˙_Čx ó˙˙˙" Lucida Grande]˙˙˙_Čx ó˙˙˙" Lucida Grande]˙˙˙_Čx ó˙˙˙" Lucida Grande]˙˙˙_Čhh((ó˙˙˙" Lucida Grande(cont.)$H$xo €řů˙˙ˆů˙˙€€(Between-Subjects Factors€ ŽGLM €dddd € €€€€€€€(€€@@33€€€€(€?@31Between Subjects Factors GLM_Table_BetweenSubjectsFactorsů€ű€ý€t€€( Propertiesű€ý€?t€€( Value Labelű€ý€t€€(N¤¨ů€ű€ý€ţt€€( Factor Levelsű€ý€˙˙˙˙€€( InitialHiLoű€ý€˙˙˙˙€€(€đ?1ű€ý€˙˙˙˙€€(€@2ľšKNŸaa\NŹaa2€€(Between-Subjects Factors€€(€€(X6ZZ]˙˙˙_Čx xó˙˙˙ź" Lucida Grande]˙˙˙_Čx ó˙˙˙" Lucida Grande]˙˙˙_Čx ó˙˙˙" Lucida Grande]˙˙˙_Čx ó˙˙˙" Lucida Grande]˙˙˙_Čx ó˙˙˙" Lucida Grande]˙˙˙_Čx ó˙˙˙" Lucida Grande]˙˙˙_Čx ó˙˙˙" Lucida Grande]˙˙˙_Čhh((ó˙˙˙" Lucida Grande(cont.)$H$xo’€fů˙˙č9ř˙˙€€(Multivariate Tests€ ŮGLM €dddd € €€€€€€€€(€…fzöˇŔď?.992€€€(€{˝Ě¤?.008€€€(€&‘7Qƒ`@128.454€€€(€&‘7Qƒ`@128.454€€€€(€.aš)ŔĆ?.178€€€(€|´g™őOę?.822€€€(€§˙‘ŤË?.216€€€(€§˙‘ŤË?.216€€€€€€(€¸YÓůĈ@770.721€€€€(€źYÓůĈ@770.721€€€€(€šYÓůĈ@770.721€€€€(€šYÓůĈ@770.721€€€€€(€źíUŔô?1.297€€€€(€˝íUŔô?1.297€€€€(€˝íUŔô?1.297€€€€(€˝íUŔô?1.297€€€€€((€"@9.000€€€((€"@9.000€€€((€"@9.000€€€((€"@9.000€€€€((€"@9.000€€€((€"@9.000€€€((€"@9.000€€€((€"@9.000€€€€€((€K@54.000€€€((€K@54.000€€€((€K@54.000€€€((€K@54.000€€€€((€K@54.000€€€((€K@54.000€€€((€K@54.000€€€((€K@54.000€€€€€(€Bv-œ?Jđ4.000€€€(€żu-œ?Jđ4.000€€€(€Bv-œ?Jđ4.000€€€(€Bv-œ?Jđ4.000€€€€(€­Ś]ź§Đ?.260€€€(€­Ś]ź§Đ?.260€€€(€­Ś]ź§Đ?.260€€€(€­Ś]ź§Đ?.260Default Multivariate Tests"GLM_Table_DefaultMultivariateTestsů€ű€ý€2t€€(Testű€ý€t€€(Pillai's Traceű€ý€Ct€€( Wilks' Lambdaű€ý€t€€(Hotelling's Traceű€ý€$t€€(Roy's Largest Rootvz~‚ů€ű€ý€ôt€€(Effectű€ý€˙˙˙˙€€( Interceptű€ý€˙˙˙˙€€(INITIALH‹ů€ű€ý€,t€€( Statisticsű€ý€>t€€(Valueű€ý€ýt€€(Fű€ý€t€€( Hypothesis dfű€ý€řt€€(Error dfű€ý€%t€€(Sig.˜œ ¤¨CE€(Design: Intercept+INITIALHeDr€€€(Multivariate TestsCE€(Exact statisticĘöž KNqam}ˆˆN†aaLN“aadaadŻ€€(€€(X6ZZ]˙˙˙_Čx xó˙˙˙ź" Lucida Grande]˙˙˙_Čx ó˙˙˙" Lucida Grande]˙˙˙_Čx ó˙˙˙" Lucida Grande]˙˙˙_Čx ó˙˙˙" Lucida Grande]˙˙˙_Čx ó˙˙˙" Lucida Grande]˙˙˙_Čx ó˙˙˙" Lucida Grande]˙˙˙_Čx ó˙˙˙" Lucida Grande]˙˙˙_Čhh((ó˙˙˙" Lucida Grande(cont.)$H$xoÝ€ř˙˙#\ň˙˙€€(!Tests of Between-Subjects Effects€ ĐGLM €ô˜@dddd € €€€€€ €€€€((€@5ÖXc1@17.552€€€€((€Š”RJ)Ă?.150€€€€((€ Ÿ¨vó@2.244€€€€((€Î8ăŒáh@199.048€€€€((€­´Ň*Ž@1013.771€€€€((€€VZi•@7.896€€€€((€€Q>ůä“ @3.697€€€€((€`ţůçŸŢ?.479€€€€((€Ą…Zhé?.794€ €€€((€5ÖXÓ&Ü@ 28827.302€€€((€J)Ľ”2‘‚@594.150€€€((€ď lűłb@149.624€€€((€ĺŒ3ÎĎŤ@3559.548€€€((€”VZi2˜@1548.521€€€((€ÔJ+­˜Ç@ 12080.021€€€((€O>ůäӅ@698.385€€€((€A˙üóO÷g@191.729€€€((€iĄ…ڏ‡@753.981€ €€€((€Œ5ÖXc1@17.552€€€((€)Ľ”RJ)Ă?.150€€€((€Ÿ¨vó@2.244€€€((€4Î8ăŒáh@199.048€€€((€,­´Ň*Ž@1013.771€€€((€¨•VZi•@7.896€€€((€•O>ůä“ @3.697€€€((€˘ţůçŸŢ?.479€€€((€iĄ…Zhé?.794€ 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É7˘b@149.066€€€(€Ű­ß§Î1@17.807€€€(€Ęž Áť&@4.788€€€(€DXŘ3ÝD@41.728€€€(€ŐxąĚÔ d@160.338€€€(€Ă 1čđŽ@990.113€€€(€?îúŮ#DŁ@2466.070€ €€€(€Jš$É]ú?1.648€€€(€ĆÄÄ?.162€€€(€6z%‰Lâ@2.235€€€(€Cô™›_Ýď?.996€€€(€ˇÜ }Y @3.134€€€(€ă8őí›?.027€€€(€šßłŘ)ë?.849€€€(€f2“™ĚÄ@2.471€€€(€§yť~Ć@2.597€€ €€€(€‚wš Ę?.204€€€(€˘Öö'ć?.688€€€(€™~†ŠŔéÁ?.140€€€(€Ěf‡a(ŸÔ?.322€€€(€’D[Ěá´?.082€€€(€ŮDčŃĐŃë?.869€€€(€ÎĚOćˇ×?.360€€€(€oˇ—ďüž?.121€€€(€lîJáďľź?.112€ €€€(€Ł>ËJ)5.000€€€(€çsw&]fď8.000€€€(€)dœÍYąQ<.000€€€(€6×kâśG?.000€€€(€Z ţ֛ ?.032€€€(€ÎäËw˛S>.000€€€(€üYXzví+<.000€€€(€†e˝*§-Ń7.000€€€(€F>äË?]5.000€ €€€(€wš Ę?.204€€€(€˜×ö'ć?.688€€€(€™~†ŠŔéÁ?.140€€€(€Žf‡a(ŸÔ?.322€€€(€^D[Ěá´?.082€€€(€jCčŃĐŃë?.869€€€(€ČÍOćˇ×?.360€€€(€ˇ—ďüž?.121€€€(€äíJáďľź?.112&Test of Between Subjects Fixed Effects+GLM_Table_TestofBetweenSubjectsFixedEffectsů€ű€ý€çt€€(Dependent Variable ű€ý€˙˙˙˙€€(AGEű€ý€˙˙˙˙€€(LANGHSű€ý€˙˙˙˙€€(LANCOLLű€ý€˙˙˙˙€€( fortravelű€ý€˙˙˙˙€€(EXCHANGEű€ý€˙˙˙˙€€(FRIENDSű€ý€˙˙˙˙€€(ETHNICű€ý€˙˙˙˙€€(GENDERű€ý€˙˙˙˙€€(CLASS TX\`dhlpt ů€ű€ý€(t€€(Sourceű€ý€ŕt€€(Corrected Modelű€ý€˙˙˙˙€Žű€ý€˙˙˙˙€€(INITIALHű€ý€÷t€€(Errorű€ý€3t€€(Totalű€ý€át€€(Corrected Total}„ˆŒů€ű€ý€,t€€( Statisticsű€ý€;t€€(Type III Sum of Squaresű€ý€ît€€(dfű€ý€t€€( Mean Squareű€ý€ýt€€(Fű€ý€%t€€(Sig.™ĄĽŠ CE€(,R Squared = .026 (Adjusted R Squared = .010)ÜCE€(-R Squared = .003 (Adjusted R Squared = -.013)ŕCE€(,R Squared = .035 (Adjusted R Squared = .019)äCE€(,R Squared = .016 (Adjusted R Squared = .000)omchčCE€(,R Squared = .048 (Adjusted R Squared = .033),ěCE€(-R Squared = .000 (Adjusted R Squared = -.016)đCE€(-R Squared = .014 (Adjusted R Squared = -.002)ôCE€(,R Squared = .038 (Adjusted R Squared = .023)řCE€(,R Squared = .040 (Adjusted R Squared = .025)(üKNO aaaaaaaaa€Nx|aaaau|N”dadaad€€(!Tests of Between-Subjects Effects€€( €€(X6ZZ]˙˙˙_Čx xó˙˙˙ź" Lucida Grande]˙˙˙_Čx ó˙˙˙" Lucida Grande]˙˙˙_Čx ó˙˙˙" Lucida Grande]˙˙˙_Čx ó˙˙˙" Lucida Grande]˙˙˙_Čx ó˙˙˙" Lucida Grande]˙˙˙_Čx ó˙˙˙" Lucida Grande]˙˙˙_Čx ó˙˙˙" Lucida Grande]˙˙˙_Čhh((ó˙˙˙" Lucida Grande(cont.)$H$xoÔv€€(Estimated Marginal Means€ĺ{:ň˙˙q!ň˙˙€€(Title€éGLMň˙˙˙źLucida GrandePÁ{\rtf1\ansi\deff0\deftab720\deflang1033{\fonttbl{\f0\fnil\fcharset0 Lucida Grande;}} {\colortbl\red0\green0\blue0;} \pard\ql\plain\f0\fs28\cf0 \plain\f0\fs28\cf0\b Estimated Marginal Means }€˙ń˙˙“ đ˙˙€€( InitialHiLo€ íGLM €dddd € €€€ €€€€€((€Â|đÁ5@21.758€€€(€–r6R.â?.568€€€((€6D¤1Ÿ4@20.622€€€((€NúSŻä6@22.893€€€€((€śÖZk­ľ4@20.710€€€(€"†b1Ââ?.586€€€((€8żł‰3@19.538€€€((€4§á5@21.881€€€€€((€@3.000€€€(€ĺbfťbgĹ?.167€€€((€ăeÓmS@2.666€€€((€pš,’Ź @3.334€€€€((€ĆcŒ1Ć@3.097€€€(€f‡Š`Ć?.173€€€((€ě/ý~â@2.752€€€((€ ə€ˆ @3.442€€€€€((€zŠ×‘ző?1.342€€€(€wÉÜRĆ?.174€€€((€ÎŕŮ-Íď?.994€€€((€JÄŒű?1.691€€€€((€x§“w:yű?1.717€€€(€6yTÇ?.180€€€((€˜<çˇő?1.357€€€((€ŹgőˇF@2.077€€€€€((€Ę&›l˛É@5.697€€€(€dOҸ{°@2.461€€€((€˜82rŢč?.777€€€((€@8KË;%@10.617€€€€((€tÎ9çœs"@9.226€€€(€yЉP@2.539€€€((€JZ Ÿ\™@4.150€€€((€Ăďî~‹š,@14.302€€€€€((€>řŕƒî?.939€€€(€ŹYi?Š @3.131€€€((€ŤeÝľMFŔ-5.319€€€((€-uŽ.Ę@7.197€€€€((€Î9çœsÎ!@8.903€€€(€hˆNŠ!× @3.230€€€((€hÉtÖX’@2.446€€€((€BA1Q¸.@15.360€€€€€((€Ę&›l˛É*@13.394€€€(€iÂŇŰą@2.962€€€((€X”´’§ä@7.473€€€((€´P3@19.315€€€€((€2ĆcŒ1,@14.097€€€(€đüŁ0yr@3.056€€€((€“ím|×ó@7.988€€€((€ÍJýƒ–44@20.205€€€€€((€]tŃE] @3.545€€€(€‰Zd@×?.363€€€((€ꓚ%@2.819€€€((€h*36@4.272€€€€((€„B!„@3.065€€€(€ňü gý×?.375€€€((€\ôa‘…@2.315€€€((€Ź,nݰ‚@3.814€€€€€((€]tŃEý?1.818€€€(€† ?;œł?.077€€€((€Zýű¤ú?1.665€€€((€ÖąëŚzŠ˙?1.971€€€€((€SJ)Ľ”Rú?1.645€€€(€„šŢ Ľ;´?.079€€€((€qś @uË÷?1.487€€€((€5ŢG ´Ůü?1.803€€€€€((€]tŃE] @3.545€€€(€lŹÔ&!¤¸?.096€€€((€ąĎi Ó @3.353€€€((€ 9q%ç @3.738€€€€((€•RJ)Ľ” @3.323€€€(€áŞčđolš?.099€€€((€U¤+ˇţ@3.124€€€((€Ői›6+ @3.521Estimated Marginal Means GLM_Table_EstimatedMarginalMeansů€ű€ý€,t€€( Statisticsű€ý€t€€(Meanű€ý€.t€€( Std. Errorű€ý€Öt€€(95% Confidence Intervalű€ý€ t€€( Lower Boundű€ý€=t€€( Upper Boundî ň ú ţ ů€ű€ý€˙˙˙˙€€( InitialHiLoű€ý€˙˙˙˙€€(€đ?1ű€ý€˙˙˙˙€€(€@2 ů€ű€ý€çt€€(Dependent Variable ű€ý€˙˙˙˙€€(AGEű€ý€˙˙˙˙€€(LANGHSű€ý€˙˙˙˙€€(LANCOLLű€ý€˙˙˙˙€€( fortravelű€ý€˙˙˙˙€€(EXCHANGEű€ý€˙˙˙˙€€(FRIENDSű€ý€˙˙˙˙€€(ETHNICű€ý€˙˙˙˙€€(GENDERű€ý€˙˙˙˙€€(CLASS    $ ( , 0 4 KNé aaaaON aaS€N aaaaaaaaa€€€( InitialHiLo€€(€€(X6ZZ]˙˙˙_Čx xó˙˙˙ź" Lucida Grande]˙˙˙_Čx ó˙˙˙" Lucida Grande]˙˙˙_Čx ó˙˙˙" Lucida Grande]˙˙˙_Čx ó˙˙˙" Lucida Grande]˙˙˙_Čx ó˙˙˙" Lucida Grande]˙˙˙_Čx ó˙˙˙" Lucida Grande]˙˙˙_Čx ó˙˙˙" Lucida Grande]˙˙˙_Čhh((ó˙˙˙" Lucida Grande(cont.)$H$xońv€€( Crosstabs€U  Crosstabs{ęď˙˙qŃď˙˙€€(Title€Y  Crosstabsň˙˙˙źLucida GrandeP˛{\rtf1\ansi\deff0\deftab720\deflang1033{\fonttbl{\f0\fnil\fcharset0 Lucida Grande;}} {\colortbl\red0\green0\blue0;} \pard\ql\plain\f0\fs28\cf0 \plain\f0\fs28\cf0\b Crosstabs }€Ř˙˙˙Wţ˙˙€€(Notes€]  Crosstabs €dddd € €€€€€€€`‡A÷B10-JUL-2007 08:27:24€€€( €€€(€€€(€€€(€€€(€ d@161€€€(3User-defined missing values are treated as missing.€€€(Statistics for each table are based on all the cases with valid data in the specified range(s) for all variables in each table.€€€(lCROSSTABS /TABLES=initialh BY gender class /FORMAT= AVALUE TABLES /STATISTIC=CHISQ /CELLS= COUNT . €€€(2€€€(116508€€€ € 0:00:00.00NotesCrosstabs_Notesů€ű€ý€ t€€(Contentsű€ý€t€€(Output Createdű€ý€t€€(Commentsű€ý€t€€(Inputű€ý€t€€(Dataű€ý€t€€(Filterű€ý€ t€€(Weightű€ý€ t€€( Split Fileű€ý€ t€€(N of Rows in Working Data Fileű€ý€9 t€€(Missing Value Handlingű€ý€: t€€(Definition of Missingű€ý€; t€€( Cases Usedű€ý€ t€€(Syntaxű€ý€t€€( Resourcesű€ý€ t€€( Elapsed Timeű€ý€ t€€( Resourcesű€ý€ t€€(Dimensions Requestedű€ý€ t€€(Cells Availableű€ý€ t€€( Elapsed Time “ › Ÿ Ł § Ť ł ˇ ť Ă Ë Ď Ó  áNŠ uaaaaaŠ–aagŁogŁ€€(Notes€€(€€(X6ZZ]˙˙˙_Čx xó˙˙˙ź" Lucida Grande]˙˙˙_Čx ó˙˙˙" Lucida Grande]˙˙˙_Čx ó˙˙˙" Lucida Grande]˙˙˙_Čx ó˙˙˙" Lucida Grande]˙˙˙_Čx ó˙˙˙" Lucida Grande]˙˙˙_Čx ó˙˙˙" Lucida Grande]˙˙˙_Čx ó˙˙˙" Lucida Grande]˙˙˙_Čhh((ó˙˙˙" Lucida Grande(cont.)$H$xoa €Żď˙˙ď˙˙€€(Case Processing Summary€ ň  Crosstabs €dddd € €€€€€€€€(€R@72€€€(€R@72€€€€(€.>9\F@44.7%€€€(€.>9\F@44.7%€€€€€(€@V@89€€€(€@V@89€€€€(€äŃüÁĆŁK@55.3%€€€(€äŃüÁĆŁK@55.3%€€€€€(€ d@161€€€(€ d@161€€€€(€Y@100.0%€€€(€Y@100.0%Case Processing Summary%Crosstabs_Table_CaseProcessingSummaryů€ű€ý€% t€€(Crosstabulationű€ý€€€(InitialHiLo * GENDERű€ý€€€(InitialHiLo * CLASS- 1 ů€ű€ý€ t€€( Statisticsű€ý€ t€€(Nű€ý€ t€€(Percent: > ů€ű€ý€ t€€(Casesű€ý€ t€€(Validű€ý€ t€€(Missingű€ý€. t€€(TotalG K O KN( ”ˆ”N5 aaBNB aaaD€€(Case Processing Summary€€(€€(X6ZZ]˙˙˙_Čx xó˙˙˙ź" Lucida Grande]˙˙˙_Čx ó˙˙˙" Lucida Grande]˙˙˙_Čx ó˙˙˙" Lucida Grande]˙˙˙_Čx ó˙˙˙" Lucida Grande]˙˙˙_Čx ó˙˙˙" Lucida Grande]˙˙˙_Čx ó˙˙˙" Lucida Grande]˙˙˙_Čx ó˙˙˙" Lucida Grande]˙˙˙_Čhh((ó˙˙˙" Lucida Grande(cont.)$H$xoö v€€(InitialHiLo * GENDER€p {ńî˙˙qŘî˙˙€€(Title€t  Crosstabsň˙˙˙źLucida GrandeP˝{\rtf1\ansi\deff0\deftab720\deflang1033{\fonttbl{\f0\fnil\fcharset0 Lucida Grande;}} {\colortbl\red0\green0\blue0;} \pard\ql\plain\f0\fs28\cf0 \plain\f0\fs28\cf0\b InitialHiLo * GENDER }€śî˙˙Öî˙˙€€(Crosstab€ x  Crosstabs €dddd € €€€€€€€€(€"@9€€€(€&@11€€€(€4@20€€€€(€=@29€€€(€7@23€€€(€J@52€€€€(€C@38€€€(€A@34€€€(€R@72CrosstabulationCrosstabs_Table_Crosstabulationů€ű€ý€˙˙˙˙€€( InitialHiLoű€ý€˙˙˙˙€€( InitialHiLoű€ý€˙˙˙˙€€(€đ?1ű€ý€˙˙˙˙€€(€@2ű€ý€. t€€(TotalŠ ­ ą ů€ű€ý€˙˙˙˙€€(GENDERű€ý€˙˙˙˙€€(GENDERű€ý€˙˙˙˙€€(€đ?1ű€ý€˙˙˙˙€€(€@2ű€ý€. t€€(Totalž Â Ć ů€ű€ý€ t€€( Statisticsű€ý€/ t€€(CountĎ KN  aaa4Nľ aaa4NĘ a9€€(Crosstab€€(€€(X6ZZ]˙˙˙_Čx xó˙˙˙ź" Lucida Grande]˙˙˙_Čx ó˙˙˙" Lucida Grande]˙˙˙_Čx ó˙˙˙" Lucida Grande]˙˙˙_Čx ó˙˙˙" Lucida Grande]˙˙˙_Čx ó˙˙˙" Lucida Grande]˙˙˙_Čx ó˙˙˙" Lucida Grande]˙˙˙_Čx ó˙˙˙" Lucida Grande]˙˙˙_Čhh((ó˙˙˙" Lucida Grande(cont.)$H$xo| €âí˙˙ŻÔě˙˙€€(Chi-Square Tests€ đ  Crosstabs €8Ş@dddd € €€€€€€€€(€‘ÁŞÄU‚ĺ?.672€€€(€”âΓâÎÓ?.310€€€(€`ű•ĐËĺ?.672€€€(€eb(°Ű5ĺ?.663€€€(€R@72€€€€(€đ?1€€€(€đ?1€€€(€đ?1€€€(€đ?1€€€€(€Üî%“cÚ?.412€€€(€ěi–Ü~â?.578€€€(€ŒLżŚádÚ?.412€€€(€U*œ˜Ú?.416€€€€(€ŠJ ďsBÜ?.442€€€€(€pfkšä{Ň?.289Chi Square TestsCrosstabs_Table_ChiSquareTestsů€ű€ý€ t€€( Statisticsű€ý€ t€€(Pearson Chi-Squareű€ý€ t€€€(Continuity Correctionű€ý€! t€€(Likelihood Ratioű€ý€$ t€€(Fisher's Exact Testű€ý€" t€€(Linear-by-Linear Associationű€ý€< t€€(N of Valid Cases1 5 : > B F ů€ű€ý€ t€€(Valuesű€ý€ t€€(Valueű€ý€ t€€(dfű€ý€( t€€(Asymp. Sig. (2-sided)ű€ý€) t€€(Exact Sig. (2-sided)ű€ý€* t€€(Exact Sig. (1-sided)O S W [ _ CE€(R0 cells (.0%) have expected count less than 5. The minimum expected count is 9.44.ű CE€(Computed only for a 2x2 table7 KN, ‘›yˆŒz›NJ aadaad€€(Chi-Square Tests€€(€€(X6ZZ]˙˙˙_Čx xó˙˙˙ź" Lucida Grande]˙˙˙_Čx ó˙˙˙" Lucida Grande]˙˙˙_Čx ó˙˙˙" Lucida Grande]˙˙˙_Čx ó˙˙˙" Lucida Grande]˙˙˙_Čx ó˙˙˙" Lucida Grande]˙˙˙_Čx ó˙˙˙" Lucida Grande]˙˙˙_Čx ó˙˙˙" Lucida Grande]˙˙˙_Čhh((ó˙˙˙" Lucida Grande(cont.)$H$xoô v€€(InitialHiLo * CLASS€… {˛ě˙˙q™ě˙˙€€(Title€‰  Crosstabsň˙˙˙źLucida GrandePź{\rtf1\ansi\deff0\deftab720\deflang1033{\fonttbl{\f0\fnil\fcharset0 Lucida Grande;}} {\colortbl\red0\green0\blue0;} \pard\ql\plain\f0\fs28\cf0 \plain\f0\fs28\cf0\b InitialHiLo * CLASS }€wě˙˙7Ĺë˙˙€€(Crosstab€   Crosstabs €†Adddd € €€€€€€€€(€đ?1€€€(€1@17€€€(€4@20€€€(€C@38€€€€(€đ?1€€€(€5@21€€€(€(@12€€€(€A@34€€€€(€@2€€€(€C@38€€€(€@@32€€€(€R@72CrosstabulationCrosstabs_Table_Crosstabulationů€ű€ý€˙˙˙˙€€(CLASSű€ý€˙˙˙˙€€(CLASSű€ý€˙˙˙˙€€(€@2ű€ý€˙˙˙˙€€(€@3ű€ý€˙˙˙˙€€(€@4ű€ý€. t€€(TotalÇ Ë Ď Ó ů€ű€ý€˙˙˙˙€€( InitialHiLoű€ý€˙˙˙˙€€( InitialHiLoű€ý€˙˙˙˙€€(€đ?1ű€ý€˙˙˙˙€€(€@2ű€ý€. t€€(Totalŕ ä č ů€ű€ý€ t€€( Statisticsű€ý€/ t€€(Countń KNž aaaa4N× aaa4Ně a9€€(Crosstab€€(€€(X6ZZ]˙˙˙_Čx xó˙˙˙ź" Lucida Grande]˙˙˙_Čx ó˙˙˙" Lucida Grande]˙˙˙_Čx ó˙˙˙" Lucida Grande]˙˙˙_Čx ó˙˙˙" Lucida Grande]˙˙˙_Čx ó˙˙˙" Lucida Grande]˙˙˙_Čx ó˙˙˙" Lucida Grande]˙˙˙_Čx ó˙˙˙" Lucida Grande]˙˙˙_Čhh((ó˙˙˙" Lucida Grande(cont.)$H$xo‘ €Łë˙˙íÇę˙˙€€(Chi-Square Tests€   Crosstabs €dddd € €€€€€€€€(€–iE€%Ľ@2.206€€€(€Ž") WÄ@2.221€€€(€Ýo9Ԇý?1.845€€€(€R@72€€€€(€@2€€€(€@2€€€(€đ?1€€€€(€–™óRh>Ő?.332€€€(€äZęĘ%Ő?.329€€€(€ń˙ŇPĆ?.174Chi Square TestsCrosstabs_Table_ChiSquareTestsů€ű€ý€ t€€( Statisticsű€ý€ t€€(Pearson Chi-Squareű€ý€ t€€(Continuity Correctionű€ý€! t€€(Likelihood Ratioű€ý€" t€€(Linear-by-Linear Associationű€ý€< t€€(N of Valid CasesB F J N R ů€ű€ý€ t€€(Valuesű€ý€ t€€(Valueű€ý€ t€€(dfű€ý€( t€€(Asymp. Sig. (2-sided)[ _ c CE€(S2 cells (33.3%) have expected count less than 5. The minimum expected count is .94.  KN= ‘›yŒz›NV aadd€€(Chi-Square Tests€€(€€(X6ZZ]˙˙˙_Čx xó˙˙˙ź" Lucida Grande]˙˙˙_Čx ó˙˙˙" Lucida Grande]˙˙˙_Čx ó˙˙˙" Lucida Grande]˙˙˙_Čx ó˙˙˙" Lucida Grande]˙˙˙_Čx ó˙˙˙" Lucida Grande]˙˙˙_Čx ó˙˙˙" Lucida Grande]˙˙˙_Čx ó˙˙˙" Lucida Grande]˙˙˙_Čhh((ó˙˙˙" Lucida Grande(cont.)$H$xo PPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPP