ĐĎॹá>ţ˙ ˘ţ˙˙˙W˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙Root Entry˙˙˙˙˙˙˙˙ŕC Ső?Ȥ Contents˙˙˙˙˙˙˙˙˙˙˙˙Xá’Embedding 1˙˙˙˙N›˘›Š@ş\­}Ý㐠âJő?ČŕC Ső?ČContents˙˙˙˙˙˙˙˙˙˙˙˙Ž Łý˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙ý˙˙˙YZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~€Root Entry˙˙˙˙˙˙˙˙‘äJő?ČP Contents˙˙˙˙˙˙˙˙á’Embedding 1˙˙˙˙˙˙˙˙N›˘›Š@ş\­}Ý㐠âJő?Ȑ‘äJő?ČContents˙˙˙˙˙˙˙˙Ž ˙˙˙˙˙˙˙˙ý˙˙˙ţ˙˙˙  !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNţ˙˙˙ţ˙˙˙QRSTUVţ˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙OlePres000˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙SPSS Output Documentc˙˙NavPivotÖő˙˙î#ő˙˙˙˙ DspSimpleText˙˙ DspString(4. SASplit * time˙˙NavTreeViewItem ˙˙ NavOleItemGLM˙˙PTPivotControllerdddd˙˙ PVPivotView˙˙ PMPivotModel˙˙NDimensional__DspCell˙˙IndexedCollection€€€˙˙DspCell€˙˙ DspNumber((€ÎĚĚĚ̌9@25.550€€€(€ÝgbŮyń?1.092€€€((€GQ|Ka7@23.380€€€((€UH‡N¸;@27.720€€€€((€ĚĚĚĚĚŹ8@24.675€€€(€çuŢFč?.752€€€((€=Mëřh.7@23.181€€€((€[LŽ 0+:@26.169€€€€€((€žŘ‰Ř‰9@25.538€€€(€Ł+ŠŚ§î?.958€€€((€“;Ë˘˘7@23.635€€€((€Šu’oq;@27.442€€€€((€؉Ř‰;@27.615€€€(€Íť ĺ?.659€€€((€*GŸ)N:@26.305€€€((€†Ě›¨ęě<@28.925Estimated Marginal Means GLM_Table_EstimatedMarginalMeans˙˙PMPivotItemTree˙˙AbstractTreeBranch˙˙PMModelItemInfo,t€€( StatisticsP€R€t€€(MeanP€R€.t€€( Std. ErrorP€R€Öt€€(95% Confidence IntervalP€R€ t€€( Lower BoundP€R€=t€€( Upper BoundVZbfN€P€R€˙˙˙˙€€(timeP€R€˙˙˙˙€€(€đ?1P€R€˙˙˙˙€€(€@2osN€P€R€˙˙˙˙€€(SASplitP€R€˙˙˙˙€€(€0P€R€˙˙˙˙€€(€đ?1|€N€P€R€t€€(MeasureP€R€t€€( MEASURE_1‰K˙˙PVViewDimensionOKK___€jKK2€€wKK<€€„^^€€(4. SASplit * time€€(€€(˙˙ PTTableLook6˙˙PVSeparatorStyleš€˙˙ PVCellStyle˙˙˙˙˙ PVTextStyleČx xó˙˙˙ź"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čhh((ó˙˙˙"Arial(cont.)$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 NewPŰ{\rtf1\ansi\deff0{\fonttbl{\f0\fswiss\fprq2\fcharset0 Courier New;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\cf1\lang1033\f0\fs20 GLM\par SWLSPre SWLSPost BY SASplit\par /WSFACTOR = time 2 Polynomial\par /METHOD = SSTYPE(3)\par /EMMEANS = TABLES(OVERALL)\par /EMMEANS = TABLES(SASplit)\par /EMMEANS = TABLES(time)\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 €€€€ €€€€)\DŰÍýB16-DEC-2007 07:02:00€€€( €€€(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 SWLSPre SWLSPost BY SASplit /WSFACTOR = time 2 Polynomial /METHOD = SSTYPE(3) /EMMEANS = TABLES(OVERALL) /EMMEANS = TABLES(SASplit) /EMMEANS = TABLES(time) /EMMEANS = TABLES(SASplit*time) /CRITERIA = ALPHA(.05) /WSDESIGN = time /DESIGN = SASplit . €€€ €X9´ČvžŸ? 0:00:00.03€€€ €yé&1ʌ? 0:00:00.01Notes 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$xŻ€Ę˙˙NavTextîţ˙˙łÝţ˙˙€€(Active Dataset€TGLMó˙˙˙"Courier Newr NewPĽ{\rtf1\ansi\deff0{\fonttbl{\f0\fswiss\fprq2\fcharset0 Courier New;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\cf1\lang1033\f0\fs20 [DataSet1] \par } €ťţ˙˙Í1ţ˙˙€€(Within-Subjects Factors€ XGLM €dddd €€€€€€€€€(SWLSPre€€€€(SWLSPostWithin Subjects FactorsGLM_Table_WithinSubjectsFactorsN€P€R€ęt€€(DepVarP€R€çt€€(Dependent VariableoN€P€R€˙˙˙˙€€(timeP€R€˙˙˙˙€€(€đ?1P€R€˙˙˙˙€€(€@2x|N€P€R€t€€(MeasureP€R€t€€( MEASURE_1…K€j]]€sKK2€€€^^€€(Within-Subjects Factors€€(€€(˜€6š€š€€˙˙˙Ÿ€Čx xó˙˙˙ź"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čhh((ó˙˙˙"Arial(cont.)$H$xŻ€\€ţ˙˙ĺ¨ý˙˙€€(Between-Subjects Factors€ ŚGLM €dddd €€€€€€€€(€D@40€€€€(€J@52Between Subjects Factors GLM_Table_BetweenSubjectsFactorsN€P€R€t€€( PropertiesP€R€?t€€( Value LabelP€R€t€€(NźŔN€P€R€ţt€€( Factor LevelsP€R€˙˙˙˙€€(SASplitP€R€˙˙˙˙€€(€0P€R€˙˙˙˙€€(€đ?1ÍŃK€ˇWKW€ÄKK2€€(Between-Subjects Factors€€(€€(˜€6š€š€€˙˙˙Ÿ€Čx xó˙˙˙ź"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čhh((ó˙˙˙"Arial(cont.)$H$xŻ€Ş€†ý˙˙˜aü˙˙€€(Multivariate Tests€ ńGLM €dddd €€€€€€€€€(€ŁL0&g‚?.009€€€(€Î>—gcśď?.991€€€(€ϻݑ‚?.009€€€(€ϻݑ‚?.009€€€€(€ńƒ űŞ?.052€€€(€ÁWOđ/Wî?.948€€€(€YᄠÁŹ?.055€€€(€YᄠÁŹ?.055€€€€€€(€ťĂŔĎę?.816€€€€(€ŸĂŔĎę?.816€€€€(€ťĂŔĎę?.816€€€€(€ťĂŔĎę?.816€€€€€(€snꇰ@4.922€€€€(€wnꇰ@4.922€€€€(€snꇰ@4.922€€€€(€snꇰ@4.922€€€€€((€đ?1.000€€€((€đ?1.000€€€((€đ?1.000€€€((€đ?1.000€€€€((€đ?1.000€€€((€đ?1.000€€€((€đ?1.000€€€((€đ?1.000€€€€€((€€V@90.000€€€((€€V@90.000€€€((€€V@90.000€€€((€€V@90.000€€€€((€€V@90.000€€€((€€V@90.000€€€((€€V@90.000€€€((€€V@90.000€€€€€(€<řŸ™×?.369€€€(€„řŸ™×?.369€€€(€<řŸ™×?.369€€€(€<řŸ™×?.369€€€€(€F_˝œš?.029€€€(€F_˝œš?.029€€€(€F_˝œš?.029€€€(€F_˝œš?.029Default Multivariate Tests"GLM_Table_DefaultMultivariateTestsN€P€R€2t€€(TestP€R€t€€(Pillai's TraceP€R€Ct€€( Wilks' LambdaP€R€t€€(Hotelling's TraceP€R€$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[%1:€€€(Multivariate TestsĂƂ€(Exact statisticĐ  $)-15K€‰\gs€žK``€ŤKKaKKaÉ€€(€€(˜€6š€š€€˙˙˙Ÿ€Čx xó˙˙˙ź"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čhh((ó˙˙˙"Arial(cont.)$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[%1:€€€(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.0?€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 €€€€€€€€€€((€@šT0@16.330€€€((€@šT0@16.330€€€((€@šT0@16.330€€€((€@šT0@16.330€€€€€((€וsëG X@98.504€€€((€וsëG X@98.504€€€((€וsëG X@98.504€€€((€וsëG X@98.504€€€€€((€ub'v"$œ@1801.034€€€((€ub'v"$œ@1801.034€€€((€ub'v"$œ@1801.034€€€((€ub'v"$œ@1801.034€€€€€€(€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€€€€€€((€@šT0@16.330€€€((€@šT0@16.330€€€((€@šT0@16.330€€€((€@šT0@16.330€€€€€((€וsëG X@98.504€€€((€וsëG X@98.504€€€((€וsëG X@98.504€€€((€וsëG X@98.504€€€€€((€Žđ Żđ4@20.011€€€((€Žđ Żđ4@20.011€€€((€Žđ Żđ4@20.011€€€((€Žđ Żđ4@20.011€€€€€€(€şĂŔĎę?.816€€€(€şĂŔĎę?.816€€€(€şĂŔĎę?.816€€€(€şĂŔĎę?.816€€€€€(€snꇰ@4.922€€€(€snꇰ@4.922€€€(€snꇰ@4.922€€€(€snꇰ@4.922€€€€€€(€<řŸ™×?.369€€€(€<řŸ™×?.369€€€(€<řŸ™×?.369€€€(€<řŸ™×?.369€€€€€(€F_˝œš?.029€€€(€F_˝œš?.029€€€(€F_˝œš?.029€€€(€F_˝œš?.029 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 €€€€€€€€€€((€@šT0@16.330€€€€€((€וsëG X@98.504€€€€€((€ub'v"$œ@1801.034€€€€€€(€đ?1€€€€€(€đ?1€€€€€(€€V@90€€€€€€((€@šT0@16.330€€€€€((€וsëG X@98.504€€€€€((€Žđ Żđ4@20.011€€€€€€(€şĂŔĎę?.816€€€€€(€snꇰ@4.922€€€€€€(€<řŸ™×?.369€€€€€(€F_˝œš?.029"Tests of Within Subjects Contrasts(GLM_Table_TestsofWithinSubjectsContrastsN€P€R€˙˙˙˙€€(timeP€R€Űt€€(LinearňN€P€R€t€€(MeasureP€R€t€€( MEASURE_1űN€P€R€(t€€(SourceP€R€Gt€€(timeP€R€Ft€€(time * SASplitP€R€€€( Error(time) N€P€R€,t€€( StatisticsP€R€;t€€(Type III Sum of SquaresP€R€ît€€(dfP€R€t€€( Mean SquareP€R€ýt€€(FP€R€%t€€(Sig.!%K€íK7€ö^^€˙K`P`€\K_KK_€€("Tests of Within-Subjects Contrasts€€(€€(˜€6š€š€€˙˙˙Ÿ€Čx xó˙˙˙ź"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čhh((ó˙˙˙"Arial(cont.)$H$xŻ€˘€Űř˙˙ +ř˙˙€€(!Tests of Between-Subjects Effects€ GGLM €dddd €€€€€€€€€€((€|7¤§ş~ý@ 120811.666€€€€€((€.Ö+>X@96.970€€€€€((€B/ôBß°ą@4528.872€€€€€€(€đ?1€€€€€(€đ?1€€€€€(€€V@90€€€€€€((€|7¤§ş~ý@ 120811.666€€€€€((€.Ö+>X@96.970€€€€€((€iv3)I@50.321€€€€€€(€ŢÁ˘@2400.830€€€€€(€­^ĽŠ)Őţ?1.927€€€€€€(€ oĺ7Y=2.000€€€€€(€a‘)_ľ‘Ĺ?.169&Test of Between Subjects Fixed Effects+GLM_Table_TestofBetweenSubjectsFixedEffectsN€P€R€5t€€(Transformed VariableP€R€€€(Average›N€P€R€t€€(MeasureP€R€t€€( MEASURE_1¤N€P€R€(t€€(SourceP€R€ t€€( InterceptP€R€˙˙˙˙€€(SASplitP€R€÷t€€(Error­ąľN€P€R€,t€€( StatisticsP€R€;t€€(Type III Sum of SquaresP€R€ît€€(dfP€R€t€€( Mean SquareP€R€ýt€€(FP€R€%t€€(Sig.žÂĆĘÎK€–K€€Ÿ^^€¨KKKD€š\K_KK_€€(!Tests of Between-Subjects Effects€€(€€(˜€6š€š€€˙˙˙Ÿ€Čx xó˙˙˙ź"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čhh((ó˙˙˙"Arial(cont.)$H$xŻ€Kť€€€(Estimated Marginal Means€đŔ€ ř˙˙ň÷˙˙€€(Title€ôGLMí˙˙˙ź"ArialalPŽ{\rtf1\ansi\deff0{\fonttbl{\f0\fswiss\fprq2\fcharset0 Arial;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\cf1\lang1033\b\f0\fs28 Estimated Marginal Means\par } €Đ÷˙˙€V÷˙˙€€( 1. Grand Mean€ řGLM €dddd €€€€€€€€((€?đ?Ř9@25.845€€€(€ľ`ۚ÷ŕŕ?.527€€€((€ЂĘ+üË8@24.797€€€((€8ű܁ä:@26.893Estimated Marginal Means GLM_Table_EstimatedMarginalMeansN€P€R€,t€€( StatisticsP€R€t€€(MeanP€R€.t€€( Std. ErrorP€R€Öt€€(95% Confidence IntervalP€R€ t€€( Lower BoundP€R€=t€€( Upper Bound#N€P€R€t€€(MeasureP€R€t€€( MEASURE_1,K€KK___€'^^€€( 1. Grand Mean€€(€€(˜€6š€š€€˙˙˙Ÿ€Čx xó˙˙˙ź"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čhh((ó˙˙˙"Arial(cont.)$H$xŻ€ü€4÷˙˙ź§ö˙˙€€( 2. SASplit€ LGLM €dddd €€€€€€€€€((€ÍĚĚĚĚ9@25.113€€€(€ڏ¨naé?.793€€€((€?ńęp‰7@23.537€€€((€[¨Ž–)°:@26.688€€€€((€;ą;ą“:@26.577€€€(€ŐlQŁRBć?.696€€€((€xű-‡ë19@25.195€€€((€ţfůîvő;@27.959Estimated Marginal Means GLM_Table_EstimatedMarginalMeansN€P€R€,t€€( StatisticsP€R€t€€(MeanP€R€.t€€( Std. ErrorP€R€Öt€€(95% Confidence IntervalP€R€ t€€( Lower BoundP€R€=t€€( Upper Bounduy…N€P€R€˙˙˙˙€€(SASplitP€R€˙˙˙˙€€(€0P€R€˙˙˙˙€€(€đ?1Ž’N€P€R€t€€(MeasureP€R€t€€( MEASURE_1›K€pKK___€‰KK<€€–^^€€( 2. SASplit€€(€€(˜€6š€š€€˙˙˙Ÿ€Čx xó˙˙˙ź"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čhh((ó˙˙˙"Arial(cont.)$H$xŻ€P€…ö˙˙˛řő˙˙€€(3. time€ źGLM €dddd €€€€€€€€€((€śR+ľR‹9@25.544€€€(€ň’Ć>ç?.726€€€((€.íěŤŕ8@24.101€€€((€>¸ižÄü:@26.987€€€€((€R+ľR+%:@26.145€€€(€FđKQMŕ?.500€€€((€"gě+Ű&9@25.152€€€((€‚ď}y{#;@27.139Estimated Marginal Means GLM_Table_EstimatedMarginalMeansN€P€R€,t€€( StatisticsP€R€t€€(MeanP€R€.t€€( Std. ErrorP€R€Öt€€(95% Confidence IntervalP€R€ t€€( Lower BoundP€R€=t€€( Upper BoundĺéńőN€P€R€˙˙˙˙€€(timeP€R€˙˙˙˙€€(€đ?1P€R€˙˙˙˙€€(€@2ţN€P€R€t€€(MeasureP€R€t€€( MEASURE_1 K€ŕKK___€ůKK2€€^^€€(3. time€€(€€(˜€6š€š€€˙˙˙Ÿ€Čx xó˙˙˙ź"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čhh((ó˙˙˙"Arial(cont.)$H$xŻ€Ŕ ţ˙˙˙  !"#$%&'()*+,-./0123ţ˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙NANI.Ç˙˙PTPivotControllerÖłdddd˙˙ PVPivotView˙˙ PMPivotModel˙˙NDimensional__DspCell˙˙IndexedCollection € € €˙˙DspCell˙˙ DspSimpleText˙˙ DspNumber((€ÎĚĚĚ̌9@25.550€€€(€ÝgbŮyń?1.092€€€((€GQ|Ka7@23.380€€€((€UH‡N¸;@27.720 €€€€((€ĚĚĚĚĚŹ8@24.675€€€(€çuŢFč?.752€€€((€=Mëřh.7@23.181€€€((€[LŽ 0+:@26.169 € €€€€((€žŘ‰Ř‰9@25.538€€€(€Ł+ŠŚ§î?.958€€€((€“;Ë˘˘7@23.635€€€((€Šu’oq;@27.442 €€€€((€؉Ř‰;@27.615€€€(€Íť ĺ?.659€€€((€*GŸ)N:@26.305€€€((€†Ě›¨ęě<@28.925Estimated 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‚ƒ„…†‡ˆ‰Š‹ŒŽ‘’“”•–—˜™š›œžŸ Ąţ˙˙˙ţ˙˙˙ţ˙˙˙ĽŚ§¨ŠŞţ˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙SPSS Output Documentc˙˙NavPivotÖő˙˙î#ő˙˙˙˙ DspSimpleText˙˙ DspString(4. SASplit * time˙˙NavTreeViewItem ˙˙ NavOleItemGLM˙˙PTPivotControllerdddd˙˙ PVPivotView˙˙ PMPivotModel˙˙NDimensional__DspCell˙˙IndexedCollection€€€˙˙DspCell€˙˙ DspNumber((€ÎĚĚĚ̌9@25.550€€€(€ÝgbŮyń?1.092€€€((€GQ|Ka7@23.380€€€((€UH‡N¸;@27.720€€€€((€ĚĚĚĚĚŹ8@24.675€€€(€çuŢFč?.752€€€((€=Mëřh.7@23.181€€€((€[LŽ 0+:@26.169€€€€€((€žŘ‰Ř‰9@25.538€€€(€Ł+ŠŚ§î?.958€€€((€“;Ë˘˘7@23.635€€€((€Šu’oq;@27.442€€€€((€؉Ř‰;@27.615€€€(€Íť ĺ?.659€€€((€*GŸ)N:@26.305€€€((€†Ě›¨ęě<@28.925Estimated 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 NewPŰ{\rtf1\ansi\deff0{\fonttbl{\f0\fswiss\fprq2\fcharset0 Courier New;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\cf1\lang1033\f0\fs20 GLM\par SWLSPre SWLSPost BY SASplit\par /WSFACTOR = time 2 Polynomial\par /METHOD = SSTYPE(3)\par /EMMEANS = TABLES(OVERALL)\par /EMMEANS = TABLES(SASplit)\par /EMMEANS = TABLES(time)\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 €€€€ €€€€)\DŰÍýB16-DEC-2007 07:02:00€€€( €€€(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 SWLSPre SWLSPost BY SASplit /WSFACTOR = time 2 Polynomial /METHOD = SSTYPE(3) /EMMEANS = TABLES(OVERALL) /EMMEANS = TABLES(SASplit) /EMMEANS = TABLES(time) /EMMEANS = TABLES(SASplit*time) /CRITERIA = ALPHA(.05) /WSDESIGN = time /DESIGN = SASplit . €€€ €X9´ČvžŸ? 0:00:00.03€€€ €yé&1ʌ? 0:00:00.01Notes 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$xŻ€Ę˙˙NavTextîţ˙˙łÝţ˙˙€€(Active Dataset€TGLMó˙˙˙"Courier Newr NewPĽ{\rtf1\ansi\deff0{\fonttbl{\f0\fswiss\fprq2\fcharset0 Courier New;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\cf1\lang1033\f0\fs20 [DataSet1] \par } €ťţ˙˙Í1ţ˙˙€€(Within-Subjects Factors€ XGLM €dddd €€€€€€€€€(SWLSPre€€€€(SWLSPostWithin Subjects FactorsGLM_Table_WithinSubjectsFactorsN€P€R€ęt€€(DepVarP€R€çt€€(Dependent VariableoN€P€R€˙˙˙˙€€(timeP€R€˙˙˙˙€€(€đ?1P€R€˙˙˙˙€€(€@2x|N€P€R€t€€(MeasureP€R€t€€( MEASURE_1…K€j]]€sKK2€€€^^€€(Within-Subjects Factors€€(€€(˜€6š€š€€˙˙˙Ÿ€Čx xó˙˙˙ź"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čhh((ó˙˙˙"Arial(cont.)$H$xŻ€\€ţ˙˙ĺ¨ý˙˙€€(Between-Subjects Factors€ ŚGLM €dddd €€€€€€€€(€D@40€€€€(€J@52Between Subjects Factors GLM_Table_BetweenSubjectsFactorsN€P€R€t€€( PropertiesP€R€?t€€( Value LabelP€R€t€€(NźŔN€P€R€ţt€€( Factor LevelsP€R€˙˙˙˙€€(SASplitP€R€˙˙˙˙€€(€0P€R€˙˙˙˙€€(€đ?1ÍŃK€ˇWKW€ÄKK2€€(Between-Subjects Factors€€(€€(˜€6š€š€€˙˙˙Ÿ€Čx xó˙˙˙ź"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čhh((ó˙˙˙"Arial(cont.)$H$xŻ€Ş€†ý˙˙˜aü˙˙€€(Multivariate Tests€ ńGLM €dddd €€€€€€€€€(€ŁL0&g‚?.009€€€(€Î>—gcśď?.991€€€(€ϻݑ‚?.009€€€(€ϻݑ‚?.009€€€€(€ńƒ űŞ?.052€€€(€ÁWOđ/Wî?.948€€€(€YᄠÁŹ?.055€€€(€YᄠÁŹ?.055€€€€€€(€ťĂŔĎę?.816€€€€(€ŸĂŔĎę?.816€€€€(€ťĂŔĎę?.816€€€€(€ťĂŔĎę?.816€€€€€(€snꇰ@4.922€€€€(€wnꇰ@4.922€€€€(€snꇰ@4.922€€€€(€snꇰ@4.922€€€€€((€đ?1.000€€€((€đ?1.000€€€((€đ?1.000€€€((€đ?1.000€€€€((€đ?1.000€€€((€đ?1.000€€€((€đ?1.000€€€((€đ?1.000€€€€€((€€V@90.000€€€((€€V@90.000€€€((€€V@90.000€€€((€€V@90.000€€€€((€€V@90.000€€€((€€V@90.000€€€((€€V@90.000€€€((€€V@90.000€€€€€(€<řŸ™×?.369€€€(€„řŸ™×?.369€€€(€<řŸ™×?.369€€€(€<řŸ™×?.369€€€€(€F_˝œš?.029€€€(€F_˝œš?.029€€€(€F_˝œš?.029€€€(€F_˝œš?.029Default Multivariate Tests"GLM_Table_DefaultMultivariateTestsN€P€R€2t€€(TestP€R€t€€(Pillai's TraceP€R€Ct€€( Wilks' LambdaP€R€t€€(Hotelling's TraceP€R€$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[%1:€€€(Multivariate TestsĂƂ€(Exact statisticĐ  $)-15K€‰\gs€žK``€ŤKKaKKaÉ€€(€€(˜€6š€š€€˙˙˙Ÿ€Čx xó˙˙˙ź"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čhh((ó˙˙˙"Arial(cont.)$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[%1:€€€(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.0?€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 €€€€€€€€€€((€@šT0@16.330€€€((€@šT0@16.330€€€((€@šT0@16.330€€€((€@šT0@16.330€€€€€((€וsëG X@98.504€€€((€וsëG X@98.504€€€((€וsëG X@98.504€€€((€וsëG X@98.504€€€€€((€ub'v"$œ@1801.034€€€((€ub'v"$œ@1801.034€€€((€ub'v"$œ@1801.034€€€((€ub'v"$œ@1801.034€€€€€€(€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€€€€€€((€@šT0@16.330€€€((€@šT0@16.330€€€((€@šT0@16.330€€€((€@šT0@16.330€€€€€((€וsëG X@98.504€€€((€וsëG X@98.504€€€((€וsëG X@98.504€€€((€וsëG X@98.504€€€€€((€Žđ Żđ4@20.011€€€((€Žđ Żđ4@20.011€€€((€Žđ Żđ4@20.011€€€((€Žđ Żđ4@20.011€€€€€€(€şĂŔĎę?.816€€€(€şĂŔĎę?.816€€€(€şĂŔĎę?.816€€€(€şĂŔĎę?.816€€€€€(€snꇰ@4.922€€€(€snꇰ@4.922€€€(€snꇰ@4.922€€€(€snꇰ@4.922€€€€€€(€<řŸ™×?.369€€€(€<řŸ™×?.369€€€(€<řŸ™×?.369€€€(€<řŸ™×?.369€€€€€(€F_˝œš?.029€€€(€F_˝œš?.029€€€(€F_˝œš?.029€€€(€F_˝œš?.029 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 €€€€€€€€€€((€@šT0@16.330€€€€€((€וsëG X@98.504€€€€€((€ub'v"$œ@1801.034€€€€€€(€đ?1€€€€€(€đ?1€€€€€(€€V@90€€€€€€((€@šT0@16.330€€€€€((€וsëG X@98.504€€€€€((€Žđ Żđ4@20.011€€€€€€(€şĂŔĎę?.816€€€€€(€snꇰ@4.922€€€€€€(€<řŸ™×?.369€€€€€(€F_˝œš?.029"Tests of Within Subjects Contrasts(GLM_Table_TestsofWithinSubjectsContrastsN€P€R€˙˙˙˙€€(timeP€R€Űt€€(LinearňN€P€R€t€€(MeasureP€R€t€€( MEASURE_1űN€P€R€(t€€(SourceP€R€Gt€€(timeP€R€Ft€€(time * SASplitP€R€€€( Error(time) N€P€R€,t€€( StatisticsP€R€;t€€(Type III Sum of SquaresP€R€ît€€(dfP€R€t€€( Mean SquareP€R€ýt€€(FP€R€%t€€(Sig.!%K€íK7€ö^^€˙K`P`€\K_KK_€€("Tests of Within-Subjects Contrasts€€(€€(˜€6š€š€€˙˙˙Ÿ€Čx xó˙˙˙ź"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čhh((ó˙˙˙"Arial(cont.)$H$xŻ€˘€Űř˙˙ +ř˙˙€€(!Tests of Between-Subjects Effects€ GGLM €dddd €€€€€€€€€€((€|7¤§ş~ý@ 120811.666€€€€€((€.Ö+>X@96.970€€€€€((€B/ôBß°ą@4528.872€€€€€€(€đ?1€€€€€(€đ?1€€€€€(€€V@90€€€€€€((€|7¤§ş~ý@ 120811.666€€€€€((€.Ö+>X@96.970€€€€€((€iv3)I@50.321€€€€€€(€ŢÁ˘@2400.830€€€€€(€­^ĽŠ)Őţ?1.927€€€€€€(€ oĺ7Y=2.000€€€€€(€a‘)_ľ‘Ĺ?.169&Test of Between Subjects Fixed Effects+GLM_Table_TestofBetweenSubjectsFixedEffectsN€P€R€5t€€(Transformed VariableP€R€€€(Average›N€P€R€t€€(MeasureP€R€t€€( MEASURE_1¤N€P€R€(t€€(SourceP€R€ t€€( InterceptP€R€˙˙˙˙€€(SASplitP€R€÷t€€(Error­ąľN€P€R€,t€€( StatisticsP€R€;t€€(Type III Sum of SquaresP€R€ît€€(dfP€R€t€€( Mean SquareP€R€ýt€€(FP€R€%t€€(Sig.žÂĆĘÎK€–K€€Ÿ^^€¨KKKD€š\K_KK_€€(!Tests of Between-Subjects Effects€€(€€(˜€6š€š€€˙˙˙Ÿ€Čx xó˙˙˙ź"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čhh((ó˙˙˙"Arial(cont.)$H$xŻ€Kť€€€(Estimated Marginal Means€đŔ€ ř˙˙ň÷˙˙€€(Title€ôGLMí˙˙˙ź"ArialalPŽ{\rtf1\ansi\deff0{\fonttbl{\f0\fswiss\fprq2\fcharset0 Arial;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\cf1\lang1033\b\f0\fs28 Estimated Marginal Means\par } €Đ÷˙˙€V÷˙˙€€( 1. Grand Mean€ řGLM €dddd €€€€€€€€((€?đ?Ř9@25.845€€€(€ľ`ۚ÷ŕŕ?.527€€€((€ЂĘ+üË8@24.797€€€((€8ű܁ä:@26.893Estimated Marginal Means GLM_Table_EstimatedMarginalMeansN€P€R€,t€€( StatisticsP€R€t€€(MeanP€R€.t€€( Std. ErrorP€R€Öt€€(95% Confidence IntervalP€R€ t€€( Lower BoundP€R€=t€€( Upper Bound#N€P€R€t€€(MeasureP€R€t€€( MEASURE_1,K€KK___€'^^€€( 1. Grand Mean€€(€€(˜€6š€š€€˙˙˙Ÿ€Čx xó˙˙˙ź"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čhh((ó˙˙˙"Arial(cont.)$H$xŻ€ü€4÷˙˙ź§ö˙˙€€( 2. SASplit€ LGLM €dddd €€€€€€€€€((€ÍĚĚĚĚ9@25.113€€€(€ڏ¨naé?.793€€€((€?ńęp‰7@23.537€€€((€[¨Ž–)°:@26.688€€€€((€;ą;ą“:@26.577€€€(€ŐlQŁRBć?.696€€€((€xű-‡ë19@25.195€€€((€ţfůîvő;@27.959Estimated Marginal Means GLM_Table_EstimatedMarginalMeansN€P€R€,t€€( StatisticsP€R€t€€(MeanP€R€.t€€( Std. ErrorP€R€Öt€€(95% Confidence IntervalP€R€ t€€( Lower BoundP€R€=t€€( Upper Bounduy…N€P€R€˙˙˙˙€€(SASplitP€R€˙˙˙˙€€(€0P€R€˙˙˙˙€€(€đ?1Ž’N€P€R€t€€(MeasureP€R€t€€( MEASURE_1›K€pKK___€‰KK<€€–^^€€( 2. SASplit€€(€€(˜€6š€š€€˙˙˙Ÿ€Čx xó˙˙˙ź"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čhh((ó˙˙˙"Arial(cont.)$H$xŻ€P€…ö˙˙˛řő˙˙€€(3. time€ źGLM €dddd €€€€€€€€€((€śR+ľR‹9@25.544€€€(€ň’Ć>ç?.726€€€((€.íěŤŕ8@24.101€€€((€>¸ižÄü:@26.987€€€€((€R+ľR+%:@26.145€€€(€FđKQMŕ?.500€€€((€"gě+Ű&9@25.152€€€((€‚ď}y{#;@27.139Estimated Marginal Means GLM_Table_EstimatedMarginalMeansN€P€R€,t€€( StatisticsP€R€t€€(MeanP€R€.t€€( Std. ErrorP€R€Öt€€(95% Confidence IntervalP€R€ t€€( Lower BoundP€R€=t€€( Upper BoundĺéńőN€P€R€˙˙˙˙€€(timeP€R€˙˙˙˙€€(€đ?1P€R€˙˙˙˙€€(€@2ţN€P€R€t€€(MeasureP€R€t€€( MEASURE_1 K€ŕKK___€ůKK2€€^^€€(3. time€€(€€(˜€6š€š€€˙˙˙Ÿ€Čx xó˙˙˙ź"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čx ó˙˙˙"Arial€˙˙˙Ÿ€Čhh((ó˙˙˙"Arial(cont.)$H$xŻ€Ŕ ţ˙˙˙  !"#$%&'()*+,-./0123ţ˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙OlePres000˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙NANI.Ç˙˙PTPivotControllerÖłdddd˙˙ PVPivotView˙˙ PMPivotModel˙˙NDimensional__DspCell˙˙IndexedCollection € € €˙˙DspCell˙˙ DspSimpleText˙˙ DspNumber((€ÎĚĚĚ̌9@25.550€€€(€ÝgbŮyń?1.092€€€((€GQ|Ka7@23.380€€€((€UH‡N¸;@27.720 €€€€((€ĚĚĚĚĚŹ8@24.675€€€(€çuŢFč?.752€€€((€=Mëřh.7@23.181€€€((€[LŽ 0+:@26.169 € €€€€((€žŘ‰Ř‰9@25.538€€€(€Ł+ŠŚ§î?.958€€€((€“;Ë˘˘7@23.635€€€((€Šu’oq;@27.442 €€€€((€؉Ř‰;@27.615€€€(€Íť ĺ?.659€€€((€*GŸ)N:@26.305€€€((€†Ě›¨ęě<@28.925Estimated 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