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'€€*€ €üŠńŇMb ? 0:00:00.03'€€*€ €¸…ëQ¸Ž? 0:00:00.02Notes GLM_Notes˙˙PMPivotItemTree˙˙AbstractTreeBranch˙˙PMModelItemInfoŘt€€(ContentsO€Q€t€€(Output CreatedO€Q€t€€(CommentsO€Q€ t€€(InputO€Q€€€(Active DatasetO€Q€t€€(FilterO€Q€t€€(WeightO€Q€t€€( Split FileO€Q€t€€(N of Rows in Working Data FileO€Q€t€€(Missing Value HandlingO€Q€ćt€€(Definition of MissingO€Q€Őt€€( Cases UsedO€Q€ t€€(Weight HandlingO€Q€ t€€(SyntaxO€Q€t€€( ResourcesO€Q€ t€€(Processor TimeO€Q€ t€€( Elapsed Time UYaeimqy}…‘  á˙˙PVViewDimensionN iTcKKK}‡\rKoc‡€€(Notes€€(€€(˙˙ PTTableLook6˙˙PVSeparatorStyleŸ€˙˙ PVCellStyle˙˙˙˙˙ PVTextStyleČx xó˙˙˙ź"Arial˘€˙˙˙¤€Čx ó˙˙˙"Arial˘€˙˙˙¤€Čx ó˙˙˙"Arial˘€˙˙˙¤€Čx ó˙˙˙"Arial˘€˙˙˙¤€Čx ó˙˙˙"Arial˘€˙˙˙¤€Čx ó˙˙˙"Arial˘€˙˙˙¤€Čx ó˙˙˙"Arial˘€˙˙˙¤€Čhh((ó˙˙˙"Arial(cont.)$H$x˙˙PVPrintManager˙˙NavTextîţ˙˙łÝţ˙˙€€(Active Dataset€ˇGLMó˙˙˙"Courier Newr NewPĽ{\rtf1\ansi\deff0{\fonttbl{\f0\fswiss\fprq2\fcharset0 Courier New;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\cf1\lang1033\f0\fs20 [DataSet1] \par } ˙˙NavPivotťţ˙˙Í1ţ˙˙€€(Within-Subjects Factors€ źGLM€dddd€!€#€%€%€%€'€€€(AITot1%€'€€€(AItot2Within Subjects FactorsGLM_Table_WithinSubjectsFactorsM€O€Q€ęt€€(DepVarO€Q€çt€€(Dependent VariableÓM€O€Q€˙˙˙˙€€(timeO€Q€˙˙˙˙€*€(€đ?1O€Q€˙˙˙˙€*€(€@2ÜŕM€O€Q€t€€(MeasureO€Q€t€€( MEASURE_1éK•€Î]]•€×KK2€•€ä^^€€(Within-Subjects Factors€€(€€(€6Ÿ€Ÿ€˘€˙˙˙¤€Čx xó˙˙˙ź"Arial˘€˙˙˙¤€Čx ó˙˙˙"Arial˘€˙˙˙¤€Čx ó˙˙˙"Arial˘€˙˙˙¤€Čx ó˙˙˙"Arial˘€˙˙˙¤€Čx ó˙˙˙"Arial˘€˙˙˙¤€Čx ó˙˙˙"Arial˘€˙˙˙¤€Čx ó˙˙˙"Arial˘€˙˙˙¤€Čhh((ó˙˙˙"Arial(cont.)$H$x´€Ŕť€ţ˙˙ĺ¨ý˙˙€€(Between-Subjects Factors€ GLM€dddd€!€#€%€%€'€€*€(€€D@41%€'€€*€(€€I@51Between Subjects Factors GLM_Table_BetweenSubjectsFactorsM€O€Q€t€€( PropertiesO€Q€?t€€( Value LabelO€Q€t€€(N $M€O€Q€ţt€€( Factor LevelsO€Q€˙˙˙˙€€(SASplitO€Q€˙˙˙˙€*€(€0O€Q€˙˙˙˙€*€(€đ?115K•€WKW•€(KK2€€(Between-Subjects Factors€€(€€(€6Ÿ€Ÿ€˘€˙˙˙¤€Čx xó˙˙˙ź"Arial˘€˙˙˙¤€Čx ó˙˙˙"Arial˘€˙˙˙¤€Čx ó˙˙˙"Arial˘€˙˙˙¤€Čx ó˙˙˙"Arial˘€˙˙˙¤€Čx ó˙˙˙"Arial˘€˙˙˙¤€Čx ó˙˙˙"Arial˘€˙˙˙¤€Čx ó˙˙˙"Arial˘€˙˙˙¤€Čhh((ó˙˙˙"Arial(cont.)$H$x´€ť€†ý˙˙˜aü˙˙€€(Multivariate Tests€ UGLM€dddd€!€#€%€%€%€'€€*€(€˙‚Aś04­?.057'€€*€(€Ďç›ôź,î?.943'€€*€(€†%ňjřŽ?.060'€€*€(€†%ňjřŽ?.060%€'€€*€(€ɲ•”Ú˝g?.003'€€*€(€Mjk%Bčď?.997'€€*€(€ëß{…Ďg?.003'€€*€(€ëß{…Ďg?.003%€%€'€€%€*€(€GbB2ŤĆ@5.444'€€%€*€(€NbB2ŤĆ@5.444'€€%€*€(€GbB2ŤĆ@5.444'€€%€*€(€GbB2ŤĆ@5.444%€'€€%€*€(€qW„é˝Đ?.262'€€%€*€(€€W„é˝Đ?.262'€€%€*€(€qW„é˝Đ?.262'€€%€*€(€qW„é˝Đ?.262%€%€'€€*€((€đ?1.000'€€*€((€đ?1.000'€€*€((€đ?1.000'€€*€((€đ?1.000%€'€€*€((€đ?1.000'€€*€((€đ?1.000'€€*€((€đ?1.000'€€*€((€đ?1.000%€%€'€€*€((€€V@90.000'€€*€((€€V@90.000'€€*€((€€V@90.000'€€*€((€€V@90.000%€'€€*€((€€V@90.000'€€*€((€€V@90.000'€€*€((€€V@90.000'€€*€((€€V@90.000%€%€'€€*€(€{´˝b…c–?.022'€€*€(€Z´˝b…c–?.022'€€*€(€{´˝b…c–?.022'€€*€(€{´˝b…c–?.022%€'€€*€(€pĎ7m‡ă?.610'€€*€(€wĎ7m‡ă?.610'€€*€(€pĎ7m‡ă?.610'€€*€(€pĎ7m‡ă?.610Default Multivariate Tests"GLM_Table_DefaultMultivariateTestsM€O€Q€2t€€(TestO€Q€t€€(Pillai's TraceO€Q€Ct€€( Wilks' LambdaO€Q€t€€(Hotelling's TraceO€Q€$t€€(Roy's Largest RootňöúţM€O€Q€ôt€€(EffectO€Q€Gt€€(timeO€Q€Ft€€(time * SASplit M€O€Q€,t€€( StatisticsO€Q€>t€€(ValueO€Q€ýt€€(FO€Q€t€€( Hypothesis dfO€Q€řt€€(Error dfO€Q€%t€€(Sig. $˙˙ DspAnnotation˙˙DspTextComponentHandle€(8Design: Intercept+SASplit Within Subjects Design: time€%€€(Multivariate Tests(‚*‚€(Exact statistic|€„ˆ‘•™K•€í\gs•€K``•€KKaKKa-€€(€€(€6Ÿ€Ÿ€˘€˙˙˙¤€Čx xó˙˙˙ź"Arial˘€˙˙˙¤€Čx ó˙˙˙"Arial˘€˙˙˙¤€Čx ó˙˙˙"Arial˘€˙˙˙¤€Čx ó˙˙˙"Arial˘€˙˙˙¤€Čx ó˙˙˙"Arial˘€˙˙˙¤€Čx ó˙˙˙"Arial˘€˙˙˙¤€Čx ó˙˙˙"Arial˘€˙˙˙¤€Čhh((ó˙˙˙"Arial(cont.)$H$x´€Yť€?ü˙˙&ű˙˙€€(Mauchly's Test of Sphericity€ NGLM€dddd€!€#€%€%€%€'€€*€(€đ?1.000%€%€'€€*€(€.000%€%€'€€*€(€0%€%€'€€*€(€˙˙˙˙˙˙ď˙.%€%€'€€*€((€đ?1.000%€%€'€€*€((€đ?1.000%€%€'€€*€((€đ?1.000 Mauchly TestGLM_Table_MauchlyTestM€O€Q€t€€(MeasureO€Q€t€€( MEASURE_1M€O€Q€Et€€(Within Subjects EffectO€Q€Gt€€(timeˆM€O€Q€,t€€( StatisticsO€Q€t€€( Mauchly's WO€Q€Ět€€(Approx. Chi-SquareO€Q€ît€€(dfO€Q€%t€€(Sig.O€Q€őt€%€€(EpsilonO€Q€t€€(Greenhouse-GeisserO€Q€t€€( Huynh-FeldtO€Q€ t€€( Lower-bound‘•™ŚŞŽ(‚*‚€(8Design: Intercept+SASplit Within Subjects Design: time€%€€(Mauchly's Test of Sphericity(‚*‚€(ĄMay be used to adjust the degrees of freedom for the averaged tests of significance. Corrected tests are displayed in the Tests of Within-Subjects Effects table. Ł˘€¤€Ȁ€€€€˙K•€z^^•€ƒKŽ€•€ŒY[KKWX__ľ€ť€(˜Tests the null hypothesis that the error covariance matrix of the orthonormalized transformed dependent variables is proportional to an identity matrix.€€(€6Ÿ€Ÿ€˘€˙˙˙¤€Čx xó˙˙˙ź"Arial˘€˙˙˙¤€Čx ó˙˙˙"Arial˘€˙˙˙¤€Čx ó˙˙˙"Arial˘€˙˙˙¤€Čx ó˙˙˙"Arial˘€˙˙˙¤€Čx ó˙˙˙"Arial˘€˙˙˙¤€Čx ó˙˙˙"Arial˘€˙˙˙¤€Čx ó˙˙˙"Arial˘€˙˙˙¤€Čhh((ó˙˙˙"Arial(cont.)$H$x´€Rť€ű˙˙ľźů˙˙€€( Tests of Within-Subjects Effects€ ŘGLM€dddd€!€#€%€%€%€%€'€€*€((€|ŠŠO@63.325'€€*€((€|ŠŠO@63.325'€€*€((€|ŠŠO@63.325'€€*€((€|ŠŠO@63.325%€%€'€€*€((€ŽěˆÉW@3.043'€€*€((€ŽěˆÉW@3.043'€€*€((€ŽěˆÉW@3.043'€€*€((€ŽěˆÉW@3.043%€%€'€€*€((€™~âR‘[@1046.892'€€*€((€™~âR‘[@1046.892'€€*€((€™~âR‘[@1046.892'€€*€((€™~âR‘[@1046.892%€%€%€'€€*€(€đ?1'€€*€((€đ?1.000'€€*€((€đ?1.000'€€*€((€đ?1.000%€%€'€€*€(€đ?1'€€*€((€đ?1.000'€€*€((€đ?1.000'€€*€((€đ?1.000%€%€'€€*€(€€V@90'€€*€((€€V@90.000'€€*€((€€V@90.000'€€*€((€€V@90.000%€%€%€'€€*€((€|ŠŠO@63.325'€€*€((€|ŠŠO@63.325'€€*€((€|ŠŠO@63.325'€€*€((€|ŠŠO@63.325%€%€'€€*€((€ŽěˆÉW@3.043'€€*€((€ŽěˆÉW@3.043'€€*€((€ŽěˆÉW@3.043'€€*€((€ŽěˆÉW@3.043%€%€'€€*€((€ĐGÜŚC'@11.632'€€*€((€ĐGÜŚC'@11.632'€€*€((€ĐGÜŚC'@11.632'€€*€((€ĐGÜŚC'@11.632%€%€%€'€€*€(€HbB2ŤĆ@5.444'€€*€(€HbB2ŤĆ@5.444'€€*€(€HbB2ŤĆ@5.444'€€*€(€HbB2ŤĆ@5.444%€%€'€€*€(€rW„é˝Đ?.262'€€*€(€rW„é˝Đ?.262'€€*€(€rW„é˝Đ?.262'€€*€(€rW„é˝Đ?.262%€%€%€'€€*€(€{´˝b…c–?.022'€€*€(€{´˝b…c–?.022'€€*€(€{´˝b…c–?.022'€€*€(€{´˝b…c–?.022%€%€'€€*€(€pĎ7m‡ă?.610'€€*€(€pĎ7m‡ă?.610'€€*€(€pĎ7m‡ă?.610'€€*€(€pĎ7m‡ă?.610 Tests of Within Subjects Effects&GLM_Table_TestsofWithinSubjectsEffectsM€O€Q€öt€€(Epsilon CorrectionsO€Q€+t€€(Sphericity AssumedO€Q€t€€(Greenhouse-GeisserO€Q€t€€( Huynh-FeldtO€Q€ t€€( Lower-boundĄĽŠ­M€O€Q€t€€(MeasureO€Q€t€€( MEASURE_1śM€O€Q€(t€€(SourceO€Q€Gt€€(timeO€Q€Ft€€(time * SASplitO€Q€€€( Error(time)żĂÇM€O€Q€,t€€( StatisticsO€Q€;t€€(Type III Sum of SquaresO€Q€ît€€(dfO€Q€t€€( Mean SquareO€Q€ýt€€(FO€Q€%t€€(Sig.ĐÔŘÜŕK•€œ…X_•€ą^^•€şK`P`•€Ë\K_KK_€€( Tests of Within-Subjects Effects€€(€€(€6Ÿ€Ÿ€˘€˙˙˙¤€Čx xó˙˙˙ź"Arial˘€˙˙˙¤€Čx ó˙˙˙"Arial˘€˙˙˙¤€Čx ó˙˙˙"Arial˘€˙˙˙¤€Čx ó˙˙˙"Arial˘€˙˙˙¤€Čx ó˙˙˙"Arial˘€˙˙˙¤€Čx ó˙˙˙"Arial˘€˙˙˙¤€Čx ó˙˙˙"Arial˘€˙˙˙¤€Čhh((ó˙˙˙"Arial(cont.)$H$x´€Üť€šů˙˙_ýř˙˙€€("Tests of Within-Subjects Contrasts€ GLM€dddd€!€#€%€%€%€%€'€€*€((€|ŠŠO@63.325%€%€'€€*€((€ŽěˆÉW@3.043%€%€'€€*€((€™~âR‘[@1046.892%€%€%€'€€*€(€đ?1%€%€'€€*€(€đ?1%€%€'€€*€(€€V@90%€%€%€'€€*€((€|ŠŠO@63.325%€%€'€€*€((€ŽěˆÉW@3.043%€%€'€€*€((€ĐGÜŚC'@11.632%€%€%€'€€*€(€GbB2ŤĆ@5.444%€%€'€€*€(€rW„é˝Đ?.262%€%€%€'€€*€(€{´˝b…c–?.022%€%€'€€*€(€pĎ7m‡ă?.610"Tests of Within Subjects Contrasts(GLM_Table_TestsofWithinSubjectsContrastsM€O€Q€˙˙˙˙€€(timeO€Q€Űt€€(LinearVM€O€Q€t€€(MeasureO€Q€t€€( MEASURE_1_M€O€Q€(t€€(SourceO€Q€Gt€€(timeO€Q€Ft€€(time * SASplitO€Q€€€( Error(time)hlpM€O€Q€,t€€( StatisticsO€Q€;t€€(Type III Sum of SquaresO€Q€ît€€(dfO€Q€t€€( Mean SquareO€Q€ýt€€(FO€Q€%t€€(Sig.y}…‰K•€QK7•€Z^^•€cK`P`•€t\K_KK_€€("Tests of Within-Subjects Contrasts€€(€€(€6Ÿ€Ÿ€˘€˙˙˙¤€Čx xó˙˙˙ź"Arial˘€˙˙˙¤€Čx ó˙˙˙"Arial˘€˙˙˙¤€Čx ó˙˙˙"Arial˘€˙˙˙¤€Čx ó˙˙˙"Arial˘€˙˙˙¤€Čx ó˙˙˙"Arial˘€˙˙˙¤€Čx ó˙˙˙"Arial˘€˙˙˙¤€Čx ó˙˙˙"Arial˘€˙˙˙¤€Čhh((ó˙˙˙"Arial(cont.)$H$x´€ť€Űř˙˙ +ř˙˙€€(!Tests of Between-Subjects Effects€ ŤGLM€dddd€!€#€%€%€%€%€'€€*€((€M° _ŔA 137219.171%€%€'€€*€((€,ČW)@12.671%€%€'€€*€((€söéTT°@4180.329%€%€%€'€€*€(€đ?1%€%€'€€*€(€đ?1%€%€'€€*€(€€V@90%€%€%€'€€*€((€M° _ŔA 137219.171%€%€'€€*€((€,ČW)@12.671%€%€'€€*€((€¤€c-[9G@46.448%€%€%€'€€*€(€vŔ~§@2954.248%€%€'€€*€(€p­Ł łuŃ?.273%€%€%€'€€*€(€€źl1.000%€%€'€€*€(€(!@DŸIă?.603&Test of Between Subjects Fixed Effects+GLM_Table_TestofBetweenSubjectsFixedEffectsM€O€Q€5t€€(Transformed VariableO€Q€€€(Average˙M€O€Q€t€€(MeasureO€Q€t€€( MEASURE_1M€O€Q€(t€€(SourceO€Q€ t€€( InterceptO€Q€˙˙˙˙€€(SASplitO€Q€÷t€€(ErrorM€O€Q€,t€€( StatisticsO€Q€;t€€(Type III Sum of SquaresO€Q€ît€€(dfO€Q€t€€( Mean SquareO€Q€ýt€€(FO€Q€%t€€(Sig."&*.2K•€úK€•€^^•€ KKKD•€\K_KK_€€(!Tests of Between-Subjects Effects€€(€€(€6Ÿ€Ÿ€˘€˙˙˙¤€Čx xó˙˙˙ź"Arial˘€˙˙˙¤€Čx ó˙˙˙"Arial˘€˙˙˙¤€Čx ó˙˙˙"Arial˘€˙˙˙¤€Čx ó˙˙˙"Arial˘€˙˙˙¤€Čx ó˙˙˙"Arial˘€˙˙˙¤€Čx ó˙˙˙"Arial˘€˙˙˙¤€Čx ó˙˙˙"Arial˘€˙˙˙¤€Čhh((ó˙˙˙"Arial(cont.)$H$x´€Ż€€€(Estimated Marginal Means€T€ ř˙˙ň÷˙˙€€(Title€XGLMí˙˙˙ź"ArialalPŽ{\rtf1\ansi\deff0{\fonttbl{\f0\fswiss\fprq2\fcharset0 Arial;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\cf1\lang1033\b\f0\fs28 Estimated Marginal Means\par } ť€Đ÷˙˙€V÷˙˙€€( 1. Grand Mean€ \GLM€dddd€!€#€%€%€'€€*€((€ůłĆ{§x;@27.471'€€*€(€úÔÂńn,ŕ?.505'€€*€((€{ŮTď™w:@26.467'€€*€((€wŽ8ľy<@28.475Estimated Marginal Means GLM_Table_EstimatedMarginalMeansM€O€Q€,t€€( StatisticsO€Q€t€€(MeanO€Q€.t€€( Std. ErrorO€Q€Öt€€(95% Confidence IntervalO€Q€ t€€( Lower BoundO€Q€=t€€( Upper Boundw{ƒ‡M€O€Q€t€€(MeasureO€Q€t€€( MEASURE_1K•€rKK___•€‹^^€€( 1. Grand Mean€€(€€(€6Ÿ€Ÿ€˘€˙˙˙¤€Čx xó˙˙˙ź"Arial˘€˙˙˙¤€Čx ó˙˙˙"Arial˘€˙˙˙¤€Čx ó˙˙˙"Arial˘€˙˙˙¤€Čx ó˙˙˙"Arial˘€˙˙˙¤€Čx ó˙˙˙"Arial˘€˙˙˙¤€Čx ó˙˙˙"Arial˘€˙˙˙¤€Čx ó˙˙˙"Arial˘€˙˙˙¤€Čhh((ó˙˙˙"Arial(cont.)$H$x´€`ť€4÷˙˙˛§ö˙˙€€(2. time€ °GLM€dddd€!€#€%€%€%€'€€*€((€>ƒpť<@28.061'€€*€(€źúÖ&Ťá?.533'€€*€((€ă˝Ô>˘;@27.002'€€*€((€=ż1˘Ô=@29.120%€'€€*€((€b) ‡“á:@26.881'€€*€(€KĘ)ő ă?.596'€€*€((€ˆSŤ˛9@25.698'€€*€((€ŚĘŔ|<@28.064Estimated Marginal Means GLM_Table_EstimatedMarginalMeansM€O€Q€,t€€( StatisticsO€Q€t€€(MeanO€Q€.t€€( Std. ErrorO€Q€Öt€€(95% Confidence IntervalO€Q€ t€€( Lower BoundO€Q€=t€€( Upper BoundŮÝĺéM€O€Q€˙˙˙˙€€(timeO€Q€˙˙˙˙€*€(€đ?1O€Q€˙˙˙˙€*€(€@2ňöM€O€Q€t€€(MeasureO€Q€t€€( MEASURE_1˙K•€ÔKK___•€íKK2€•€ú^^€€(2. time€€(€€(€6Ÿ€Ÿ€˘€˙˙˙¤€Čx xó˙˙˙ź"Arial˘€˙˙˙¤€Čx ó˙˙˙"Arial˘€˙˙˙¤€Čx ó˙˙˙"Arial˘€˙˙˙¤€Čx ó˙˙˙"Arial˘€˙˙˙¤€Čx ó˙˙˙"Arial˘€˙˙˙¤€Čx ó˙˙˙"Arial˘€˙˙˙¤€Čx ó˙˙˙"Arial˘€˙˙˙¤€Čhh((ó˙˙˙"Arial(cont.)$H$x´€´ť€…ö˙˙źřő˙˙€€( 3. SASplit€ GLM€dddd€!€#€%€%€%€'€€*€((€ś+Qť5;@27.207'€€*€(€6îq){č?.753'€€*€((€Q LLś9@25.712'€€*€((€G˜*Ůł<@28.703%€'€€*€((€<<<<<ź;@27.735'€€*€(€ńŕřŇ˜ĺ?.675'€€*€((€`7*_e:@26.395'€€*€((€ANp=@29.076Estimated Marginal Means GLM_Table_EstimatedMarginalMeansM€O€Q€,t€€( StatisticsO€Q€t€€(MeanO€Q€.t€€( Std. ErrorO€Q€Öt€€(95% Confidence IntervalO€Q€ t€€( Lower BoundO€Q€=t€€( Upper BoundIMUYM€O€Q€˙˙˙˙€€(SASplitO€Q€˙˙˙˙€*€(€0O€Q€˙˙˙˙€*€(€đ?1bfM€O€Q€t€€(MeasureO€Q€t€€( MEASURE_1oK•€DKK___•€]KK<€•€j^^€€( 3. SASplit€€(€€(€6Ÿ€Ÿ€˘€˙˙˙¤€Čx xó˙˙˙ź"Arial˘€˙˙˙¤€Čx ó˙˙˙"Arial˘€˙˙˙¤€Čx ó˙˙˙"Arial˘€˙˙˙¤€Čx ó˙˙˙"Arial˘€˙˙˙¤€Čx ó˙˙˙"Arial˘€˙˙˙¤€Čx ó˙˙˙"Arial˘€˙˙˙¤€Čx ó˙˙˙"Arial˘€˙˙˙¤€Čhh((ó˙˙˙"Arial(cont.)$H$x´€$ť€Öő˙˙î#ő˙˙€€(4. SASplit * time€ GLM€dddd€!€#€%€%€%€%€'€€*€((€îJÔŽDí;@27.927'€€*€(€l¤žŚ]fé?.794'€€*€((€đ|”Y:@26.350'€€*€((€ě,\ő€=@29.504%€'€€*€((€} ÎÇŕ|:@26.488'€€*€(€څ@îTaě?.887'€€*€((€RěžűŃš8@24.726'€€*€((€¨,ݓď?<@28.250%€%€'€€*€((€222222<@28.196'€€*€(€H‹H!Ćć?.712'€€*€((€„ăĄ=Č:@26.782'€€*€((€ŕ€TĂ&œ=@29.610%€'€€*€((€FFFFFF;@27.275'€€*€(€’3[Ń7ré?.795'€€*€((€N˸9Ůą9@25.695'€€*€((€>ÁÓRłÚ<@28.854Estimated Marginal Means GLM_Table_EstimatedMarginalMeansM€O€Q€,t€€( StatisticsO€Q€t€€(MeanO€Q€.t€€( Std. ErrorO€Q€Öt€€(95% Confidence IntervalO€Q€ t€€( Lower BoundO€Q€=t€€( Upper BoundŐŮáĺM€O€Q€˙˙˙˙€€(timeO€Q€˙˙˙˙€*€(€đ?1O€Q€˙˙˙˙€*€(€@2îňM€O€Q€˙˙˙˙€€(SASplitO€Q€˙˙˙˙€*€(€0O€Q€˙˙˙˙€*€(€đ?1ű˙M€O€Q€t€€(MeasureO€Q€t€€( MEASURE_1K•€ĐKK___•€éKK2€•€öKK<€•€^^€€(4. SASplit * time€€(€€(€6Ÿ€Ÿ€˘€˙˙˙¤€Čx xó˙˙˙ź"Arial˘€˙˙˙¤€Čx ó˙˙˙"Arial˘€˙˙˙¤€Čx ó˙˙˙"Arial˘€˙˙˙¤€Čx ó˙˙˙"Arial˘€˙˙˙¤€Čx ó˙˙˙"Arial˘€˙˙˙¤€Čx ó˙˙˙"Arial˘€˙˙˙¤€Čx ó˙˙˙"Arial˘€˙˙˙¤€Čhh((ó˙˙˙"Arial(cont.)$H$x´€”‚ƒ„…†‡ˆ‰Š‹ŒŽ‘’“”•–—˜ţ˙˙˙ţ˙˙˙ţ˙˙˙œžŸ Ąţ˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙SPSS Output Documentc˙˙NavPivotÖő˙˙î#ő˙˙˙˙ DspSimpleText˙˙ DspString(4. SASplit * time˙˙NavTreeViewItem ˙˙ NavOleItemGLM˙˙PTPivotControllerdddd˙˙ PVPivotView˙˙ PMPivotModel˙˙NDimensional__DspCell˙˙IndexedCollection€€€˙˙DspCell€˙˙ DspNumber((€îJÔŽDí;@27.927€€€(€l¤žŚ]fé?.794€€€((€đ|”Y:@26.350€€€((€ě,\ő€=@29.504€€€€((€} ÎÇŕ|:@26.488€€€(€څ@îTaě?.887€€€((€RěžűŃš8@24.726€€€((€¨,ݓď?<@28.250€€€€€((€222222<@28.196€€€(€H‹H!Ćć?.712€€€((€„ăĄ=Č:@26.782€€€((€ŕ€TĂ&œ=@29.610€€€€((€FFFFFF;@27.275€€€(€’3[Ń7ré?.795€€€((€N˸9Ůą9@25.695€€€((€>ÁÓRłÚ<@28.854Estimated Marginal Means GLM_Table_EstimatedMarginalMeans˙˙PMPivotItemTree˙˙AbstractTreeBranch˙˙PMModelItemInfo,t€€( StatisticsP€R€t€€(MeanP€R€.t€€( Std. ErrorP€R€Öt€€(95% Confidence IntervalP€R€ t€€( Lower BoundP€R€=t€€( Upper BoundVZbfN€P€R€˙˙˙˙€€(timeP€R€˙˙˙˙€€(€đ?1P€R€˙˙˙˙€€(€@2osN€P€R€˙˙˙˙€€(SASplitP€R€˙˙˙˙€€(€0P€R€˙˙˙˙€€(€đ?1|€N€P€R€t€€(MeasureP€R€t€€( MEASURE_1‰K˙˙PVViewDimensionOKK___€jKK2€€wKK<€€„^^€€(4. SASplit * time€€(€€(˙˙ PTTableLook6˙˙PVSeparatorStyleš€˙˙ PVCellStyle˙˙˙˙˙ PVTextStyleČx xó˙˙˙ź"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čhh((ó˙˙˙"Arial(cont.)$H$x˙˙PVPrintManager Ţ˙˙˙((Ý 4!ř*ööööđ (Continued)ł{\rtf1\ansi\ansicpg1252\deff0\deflang1033{\fonttbl{\f0\fswiss\fprq2\fcharset0 Arial;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\qc\cf1\f0\fs20 &[PageTitle]\par } ł{\rtf1\ansi\ansicpg1252\deff0\deflang1033{\fonttbl{\f0\fswiss\fprq2\fcharset0 Arial;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\qr\cf1\f0\fs20 Page &[Page]\par } ˙˙NavRoot€€(Output€˛˙˙NavLogłI˙˙˙€€(Log€ˇ "Courier Newr NewPŘ{\rtf1\ansi\deff0{\fonttbl{\f0\fswiss\fprq2\fcharset0 Courier New;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\cf1\lang1033\f0\fs20 GLM\par AITot1 AItot2 BY SASplit\par /WSFACTOR = time 2 Polynomial\par /METHOD = SSTYPE(3)\par /EMMEANS = TABLES(OVERALL)\par /EMMEANS = TABLES(time)\par /EMMEANS = TABLES(SASplit)\par /EMMEANS = TABLES(SASplit*time)\par /CRITERIA = ALPHA(.05)\par /WSDESIGN = time\par /DESIGN = SASplit .\par } ˙˙NavHead€€(General Linear Model€źGLM˙˙NavTitle'˙˙˙˙˙˙€€(Title€ÁGLMí˙˙˙ź"ArialalPŞ{\rtf1\ansi\deff0{\fonttbl{\f0\fswiss\fprq2\fcharset0 Arial;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\cf1\lang1033\b\f0\fs28 General Linear Model\par } ˙˙NavNoteţ˙˙€€(Notes€ĆGLM €dddd €€€€ €€€€MlŽýB13-DEC-2007 07:30:17€€€( €€€(DataSet1€€€(€€€(€€€(€€€(€ 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 AITot1 AItot2 BY SASplit /WSFACTOR = time 2 Polynomial /METHOD = SSTYPE(3) /EMMEANS = TABLES(OVERALL) /EMMEANS = TABLES(time) /EMMEANS = TABLES(SASplit) /EMMEANS = TABLES(SASplit*time) /CRITERIA = ALPHA(.05) /WSDESIGN = time /DESIGN = SASplit . €€€ €üŠńŇMb ? 0:00:00.03€€€ €¸…ëQ¸Ž? 0:00:00.02Notes GLM_NotesN€P€R€Řt€€(ContentsP€R€t€€(Output CreatedP€R€t€€(CommentsP€R€ t€€(InputP€R€€€(Active DatasetP€R€t€€(FilterP€R€t€€(WeightP€R€t€€( Split FileP€R€t€€(N of Rows in Working Data FileP€R€t€€(Missing Value HandlingP€R€ćt€€(Definition of MissingP€R€Őt€€( Cases UsedP€R€ t€€(Weight HandlingP€R€ t€€(SyntaxP€R€t€€( ResourcesP€R€ t€€(Processor TimeP€R€ t€€( Elapsed Time řü  $(04  ፀó iTcKKK}‡\rKoc‡€€(Notes€€(€€(˜€6š€š€€˙˙˙Ÿ€Čx xó˙˙˙ź"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čhh((ó˙˙˙"Arial(cont.)$H$xŻ€Ę˙˙NavTextîţ˙˙łÝţ˙˙€€(Active Dataset€TGLMó˙˙˙"Courier Newr NewPĽ{\rtf1\ansi\deff0{\fonttbl{\f0\fswiss\fprq2\fcharset0 Courier New;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\cf1\lang1033\f0\fs20 [DataSet1] \par } €ťţ˙˙Í1ţ˙˙€€(Within-Subjects Factors€ XGLM €dddd €€€€€€€€€(AITot1€€€€(AItot2Within Subjects FactorsGLM_Table_WithinSubjectsFactorsN€P€R€ęt€€(DepVarP€R€çt€€(Dependent VariableoN€P€R€˙˙˙˙€€(timeP€R€˙˙˙˙€€(€đ?1P€R€˙˙˙˙€€(€@2x|N€P€R€t€€(MeasureP€R€t€€( MEASURE_1…K€j]]€sKK2€€€^^€€(Within-Subjects Factors€€(€€(˜€6š€š€€˙˙˙Ÿ€Čx xó˙˙˙ź"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čhh((ó˙˙˙"Arial(cont.)$H$xŻ€\€ţ˙˙ĺ¨ý˙˙€€(Between-Subjects Factors€ ŚGLM €dddd €€€€€€€€(€€D@41€€€€(€€I@51Between Subjects Factors GLM_Table_BetweenSubjectsFactorsN€P€R€t€€( PropertiesP€R€?t€€( Value LabelP€R€t€€(NźŔN€P€R€ţt€€( Factor LevelsP€R€˙˙˙˙€€(SASplitP€R€˙˙˙˙€€(€0P€R€˙˙˙˙€€(€đ?1ÍŃK€ˇWKW€ÄKK2€€(Between-Subjects Factors€€(€€(˜€6š€š€€˙˙˙Ÿ€Čx xó˙˙˙ź"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čhh((ó˙˙˙"Arial(cont.)$H$xŻ€Ş€†ý˙˙˜aü˙˙€€(Multivariate Tests€ ńGLM €dddd €€€€€€€€€(€˙‚Aś04­?.057€€€(€Ďç›ôź,î?.943€€€(€†%ňjřŽ?.060€€€(€†%ňjřŽ?.060€€€€(€ɲ•”Ú˝g?.003€€€(€Mjk%Bčď?.997€€€(€ëß{…Ďg?.003€€€(€ëß{…Ďg?.003€€€€€€(€GbB2ŤĆ@5.444€€€€(€NbB2ŤĆ@5.444€€€€(€GbB2ŤĆ@5.444€€€€(€GbB2ŤĆ@5.444€€€€€(€qW„é˝Đ?.262€€€€(€€W„é˝Đ?.262€€€€(€qW„é˝Đ?.262€€€€(€qW„é˝Đ?.262€€€€€((€đ?1.000€€€((€đ?1.000€€€((€đ?1.000€€€((€đ?1.000€€€€((€đ?1.000€€€((€đ?1.000€€€((€đ?1.000€€€((€đ?1.000€€€€€((€€V@90.000€€€((€€V@90.000€€€((€€V@90.000€€€((€€V@90.000€€€€((€€V@90.000€€€((€€V@90.000€€€((€€V@90.000€€€((€€V@90.000€€€€€(€{´˝b…c–?.022€€€(€Z´˝b…c–?.022€€€(€{´˝b…c–?.022€€€(€{´˝b…c–?.022€€€€(€pĎ7m‡ă?.610€€€(€wĎ7m‡ă?.610€€€(€pĎ7m‡ă?.610€€€(€pĎ7m‡ă?.610Default Multivariate Tests"GLM_Table_DefaultMultivariateTestsN€P€R€2t€€(TestP€R€t€€(Pillai's TraceP€R€Ct€€( Wilks' LambdaP€R€t€€(Hotelling's TraceP€R€$t€€(Roy's Largest RootŽ’–šN€P€R€ôt€€(EffectP€R€Gt€€(timeP€R€Ft€€(time * SASplit٧N€P€R€,t€€( StatisticsP€R€>t€€(ValueP€R€ýt€€(FP€R€t€€( Hypothesis dfP€R€řt€€(Error dfP€R€%t€€(Sig.°´¸źŔ˙˙ DspAnnotation˙˙DspTextComponentHandle€(8Design: Intercept+SASplit Within Subjects Design: time€€€(Multivariate TestsĂƂ€(Exact statistic $)-15K€‰\gs€žK``€ŤKKaKKaÉ€€(€€(˜€6š€š€€˙˙˙Ÿ€Čx xó˙˙˙ź"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čhh((ó˙˙˙"Arial(cont.)$H$xŻ€ő€?ü˙˙&ű˙˙€€(Mauchly's Test of Sphericity€ ęGLM €dddd €€€€€€€€€(€đ?1.000€€€€€(€.000€€€€€(€0€€€€€(€˙˙˙˙˙˙ď˙.€€€€€((€đ?1.000€€€€€((€đ?1.000€€€€€((€đ?1.000 Mauchly TestGLM_Table_MauchlyTestN€P€R€t€€(MeasureP€R€t€€( MEASURE_1N€P€R€Et€€(Within Subjects EffectP€R€Gt€€(time$N€P€R€,t€€( StatisticsP€R€t€€( Mauchly's WP€R€Ět€€(Approx. Chi-SquareP€R€ît€€(dfP€R€%t€€(Sig.P€R€őt€€€(EpsilonP€R€t€€(Greenhouse-GeisserP€R€t€€( Huynh-FeldtP€R€ t€€( Lower-bound-159BFJĂƂ€(8Design: Intercept+SASplit Within Subjects Design: time€€€(Mauchly's Test of SphericityĂƂ€(ĄMay be used to adjust the degrees of freedom for the averaged tests of significance. Corrected tests are displayed in the Tests of Within-Subjects Effects table. ?€Ÿ€Ȁ€€€€˙K€^^€KŽ€€(Y[KKWX__Q€W€(˜Tests the null hypothesis that the error covariance matrix of the orthonormalized transformed dependent variables is proportional to an identity matrix.€€(˜€6š€š€€˙˙˙Ÿ€Čx xó˙˙˙ź"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čhh((ó˙˙˙"Arial(cont.)$H$xŻ€î€ű˙˙ľźů˙˙€€( Tests of Within-Subjects Effects€ tGLM €dddd €€€€€€€€€€((€|ŠŠO@63.325€€€((€|ŠŠO@63.325€€€((€|ŠŠO@63.325€€€((€|ŠŠO@63.325€€€€€((€ŽěˆÉW@3.043€€€((€ŽěˆÉW@3.043€€€((€ŽěˆÉW@3.043€€€((€ŽěˆÉW@3.043€€€€€((€™~âR‘[@1046.892€€€((€™~âR‘[@1046.892€€€((€™~âR‘[@1046.892€€€((€™~âR‘[@1046.892€€€€€€(€đ?1€€€((€đ?1.000€€€((€đ?1.000€€€((€đ?1.000€€€€€(€đ?1€€€((€đ?1.000€€€((€đ?1.000€€€((€đ?1.000€€€€€(€€V@90€€€((€€V@90.000€€€((€€V@90.000€€€((€€V@90.000€€€€€€((€|ŠŠO@63.325€€€((€|ŠŠO@63.325€€€((€|ŠŠO@63.325€€€((€|ŠŠO@63.325€€€€€((€ŽěˆÉW@3.043€€€((€ŽěˆÉW@3.043€€€((€ŽěˆÉW@3.043€€€((€ŽěˆÉW@3.043€€€€€((€ĐGÜŚC'@11.632€€€((€ĐGÜŚC'@11.632€€€((€ĐGÜŚC'@11.632€€€((€ĐGÜŚC'@11.632€€€€€€(€HbB2ŤĆ@5.444€€€(€HbB2ŤĆ@5.444€€€(€HbB2ŤĆ@5.444€€€(€HbB2ŤĆ@5.444€€€€€(€rW„é˝Đ?.262€€€(€rW„é˝Đ?.262€€€(€rW„é˝Đ?.262€€€(€rW„é˝Đ?.262€€€€€€(€{´˝b…c–?.022€€€(€{´˝b…c–?.022€€€(€{´˝b…c–?.022€€€(€{´˝b…c–?.022€€€€€(€pĎ7m‡ă?.610€€€(€pĎ7m‡ă?.610€€€(€pĎ7m‡ă?.610€€€(€pĎ7m‡ă?.610 Tests of Within Subjects Effects&GLM_Table_TestsofWithinSubjectsEffectsN€P€R€öt€€(Epsilon CorrectionsP€R€+t€€(Sphericity AssumedP€R€t€€(Greenhouse-GeisserP€R€t€€( Huynh-FeldtP€R€ t€€( Lower-bound=AEIN€P€R€t€€(MeasureP€R€t€€( MEASURE_1RN€P€R€(t€€(SourceP€R€Gt€€(timeP€R€Ft€€(time * SASplitP€R€€€( Error(time)[_cN€P€R€,t€€( StatisticsP€R€;t€€(Type III Sum of SquaresP€R€ît€€(dfP€R€t€€( Mean SquareP€R€ýt€€(FP€R€%t€€(Sig.lptx|K€8…X_€M^^€VK`P`€g\K_KK_€€( Tests of Within-Subjects Effects€€(€€(˜€6š€š€€˙˙˙Ÿ€Čx xó˙˙˙ź"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čhh((ó˙˙˙"Arial(cont.)$H$xŻ€x€šů˙˙_ýř˙˙€€("Tests of Within-Subjects Contrasts€ žGLM €dddd €€€€€€€€€€((€|ŠŠO@63.325€€€€€((€ŽěˆÉW@3.043€€€€€((€™~âR‘[@1046.892€€€€€€(€đ?1€€€€€(€đ?1€€€€€(€€V@90€€€€€€((€|ŠŠO@63.325€€€€€((€ŽěˆÉW@3.043€€€€€((€ĐGÜŚC'@11.632€€€€€€(€GbB2ŤĆ@5.444€€€€€(€rW„é˝Đ?.262€€€€€€(€{´˝b…c–?.022€€€€€(€pĎ7m‡ă?.610"Tests of Within Subjects Contrasts(GLM_Table_TestsofWithinSubjectsContrastsN€P€R€˙˙˙˙€€(timeP€R€Űt€€(LinearňN€P€R€t€€(MeasureP€R€t€€( MEASURE_1űN€P€R€(t€€(SourceP€R€Gt€€(timeP€R€Ft€€(time * SASplitP€R€€€( Error(time) N€P€R€,t€€( StatisticsP€R€;t€€(Type III Sum of SquaresP€R€ît€€(dfP€R€t€€( Mean SquareP€R€ýt€€(FP€R€%t€€(Sig.!%K€íK7€ö^^€˙K`P`€\K_KK_€€("Tests of Within-Subjects Contrasts€€(€€(˜€6š€š€€˙˙˙Ÿ€Čx xó˙˙˙ź"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čhh((ó˙˙˙"Arial(cont.)$H$xŻ€˘€Űř˙˙ +ř˙˙€€(!Tests of Between-Subjects Effects€ GGLM €dddd €€€€€€€€€€((€M° _ŔA 137219.171€€€€€((€,ČW)@12.671€€€€€((€söéTT°@4180.329€€€€€€(€đ?1€€€€€(€đ?1€€€€€(€€V@90€€€€€€((€M° _ŔA 137219.171€€€€€((€,ČW)@12.671€€€€€((€¤€c-[9G@46.448€€€€€€(€vŔ~§@2954.248€€€€€(€p­Ł łuŃ?.273€€€€€€(€€źl1.000€€€€€(€(!@DŸIă?.603&Test of Between Subjects Fixed Effects+GLM_Table_TestofBetweenSubjectsFixedEffectsN€P€R€5t€€(Transformed VariableP€R€€€(Average›N€P€R€t€€(MeasureP€R€t€€( MEASURE_1¤N€P€R€(t€€(SourceP€R€ t€€( InterceptP€R€˙˙˙˙€€(SASplitP€R€÷t€€(Error­ąľN€P€R€,t€€( StatisticsP€R€;t€€(Type III Sum of SquaresP€R€ît€€(dfP€R€t€€( Mean SquareP€R€ýt€€(FP€R€%t€€(Sig.žÂĆĘÎK€–K€€Ÿ^^€¨KKKD€š\K_KK_€€(!Tests of Between-Subjects Effects€€(€€(˜€6š€š€€˙˙˙Ÿ€Čx xó˙˙˙ź"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čhh((ó˙˙˙"Arial(cont.)$H$xŻ€Kť€€€(Estimated Marginal Means€đŔ€ ř˙˙ň÷˙˙€€(Title€ôGLMí˙˙˙ź"ArialalPŽ{\rtf1\ansi\deff0{\fonttbl{\f0\fswiss\fprq2\fcharset0 Arial;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\cf1\lang1033\b\f0\fs28 Estimated Marginal Means\par } €Đ÷˙˙€V÷˙˙€€( 1. Grand Mean€ řGLM €dddd €€€€€€€€((€ůłĆ{§x;@27.471€€€(€úÔÂńn,ŕ?.505€€€((€{ŮTď™w:@26.467€€€((€wŽ8ľy<@28.475Estimated Marginal Means GLM_Table_EstimatedMarginalMeansN€P€R€,t€€( StatisticsP€R€t€€(MeanP€R€.t€€( Std. ErrorP€R€Öt€€(95% Confidence IntervalP€R€ t€€( Lower BoundP€R€=t€€( Upper Bound#N€P€R€t€€(MeasureP€R€t€€( MEASURE_1,K€KK___€'^^€€( 1. Grand Mean€€(€€(˜€6š€š€€˙˙˙Ÿ€Čx xó˙˙˙ź"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čhh((ó˙˙˙"Arial(cont.)$H$xŻ€ü€4÷˙˙˛§ö˙˙€€(2. time€ LGLM €dddd €€€€€€€€€((€>ƒpť<@28.061€€€(€źúÖ&Ťá?.533€€€((€ă˝Ô>˘;@27.002€€€((€=ż1˘Ô=@29.120€€€€((€b) ‡“á:@26.881€€€(€KĘ)ő ă?.596€€€((€ˆSŤ˛9@25.698€€€((€ŚĘŔ|<@28.064Estimated Marginal Means GLM_Table_EstimatedMarginalMeansN€P€R€,t€€( StatisticsP€R€t€€(MeanP€R€.t€€( Std. ErrorP€R€Öt€€(95% Confidence IntervalP€R€ t€€( Lower BoundP€R€=t€€( Upper Bounduy…N€P€R€˙˙˙˙€€(timeP€R€˙˙˙˙€€(€đ?1P€R€˙˙˙˙€€(€@2Ž’N€P€R€t€€(MeasureP€R€t€€( MEASURE_1›K€pKK___€‰KK2€€–^^€€(2. time€€(€€(˜€6š€š€€˙˙˙Ÿ€Čx xó˙˙˙ź"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čhh((ó˙˙˙"Arial(cont.)$H$xŻ€P€…ö˙˙źřő˙˙€€( 3. SASplit€ źGLM €dddd €€€€€€€€€((€ś+Qť5;@27.207€€€(€6îq){č?.753€€€((€Q LLś9@25.712€€€((€G˜*Ůł<@28.703€€€€((€<<<<<ź;@27.735€€€(€ńŕřŇ˜ĺ?.675€€€((€`7*_e:@26.395€€€((€ANp=@29.076Estimated Marginal Means GLM_Table_EstimatedMarginalMeansN€P€R€,t€€( StatisticsP€R€t€€(MeanP€R€.t€€( Std. ErrorP€R€Öt€€(95% Confidence IntervalP€R€ t€€( Lower BoundP€R€=t€€( Upper BoundĺéńőN€P€R€˙˙˙˙€€(SASplitP€R€˙˙˙˙€€(€0P€R€˙˙˙˙€€(€đ?1ţN€P€R€t€€(MeasureP€R€t€€( MEASURE_1 K€ŕKK___€ůKK<€€^^€€( 3. SASplit€€(€€(˜€6š€š€€˙˙˙Ÿ€Čx xó˙˙˙ź"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čhh((ó˙˙˙"Arial(cont.)$H$xŻ€Ŕ OlePres000˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙ţ˙˙˙  !"#$%&'()*+,-./0123ţ˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙NANI.Ç˙˙PTPivotControllerÖłdddd˙˙ PVPivotView˙˙ PMPivotModel˙˙NDimensional__DspCell˙˙IndexedCollection € € €˙˙DspCell˙˙ DspSimpleText˙˙ DspNumber((€îJÔŽDí;@27.927€€€(€l¤žŚ]fé?.794€€€((€đ|”Y:@26.350€€€((€ě,\ő€=@29.504 €€€€((€} ÎÇŕ|:@26.488€€€(€څ@îTaě?.887€€€((€RěžűŃš8@24.726€€€((€¨,ݓď?<@28.250 € €€€€((€222222<@28.196€€€(€H‹H!Ćć?.712€€€((€„ăĄ=Č:@26.782€€€((€ŕ€TĂ&œ=@29.610 €€€€((€FFFFFF;@27.275€€€(€’3[Ń7ré?.795€€€((€N˸9Ůą9@25.695€€€((€>ÁÓRłÚ<@28.854Estimated Marginal Means GLM_Table_EstimatedMarginalMeans˙˙PMPivotItemTree˙˙AbstractTreeBranch˙˙PMModelItemInfo,t€˙˙ DspString( StatisticsG€I€t€L€(MeanG€I€.t€L€( Std. ErrorG€I€Öt€L€(95% Confidence IntervalG€I€ t€L€( Lower BoundG€I€=t€L€( Upper BoundNRZ^E€G€I€˙˙˙˙€L€(timeG€I€˙˙˙˙€€(€đ?1G€I€˙˙˙˙€€(€@2gkE€G€I€˙˙˙˙€L€(SASplitG€I€˙˙˙˙€€(€0G€I€˙˙˙˙€€(€đ?1txE€G€I€t€L€(MeasureG€I€t€L€( MEASURE_1K˙˙PVViewDimensionFKK___…€bKK2€…€oKK<€…€|^^€L€(4. SASplit * time€L€(€L€(˙˙ PTTableLook6˙˙PVSeparatorStyle’€˙˙ PVCellStyle˙˙˙˙˙ PVTextStyleČx xó˙˙˙ź"Arial•€˙˙˙—€Čx ó˙˙˙"Arial•€˙˙˙—€Čx ó˙˙˙"Arial•€˙˙˙—€Čx ó˙˙˙"Arial•€˙˙˙—€Čx ó˙˙˙"Arial•€˙˙˙—€Čx ó˙˙˙"Arial•€˙˙˙—€Čx ó˙˙˙"Arial•€˙˙˙—€Čhh((ó˙˙˙"Arial(cont.)$H$x˙˙PVPrintManager˙˙ PTPivotState