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Corrected tests are displayed in the Tests of Within-Subjects Effects table.˘ř€ú€Ȁ€€€€˙Kč€ya]耂a›€č€‹adaaacad´€ş€(˜Tests the null hypothesis that the error covariance matrix of the orthonormalized transformed dependent variables is proportional to an identity matrix.€€(ó€6ő€ő€ř€˙˙˙ú€Čx xó˙˙˙ź" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čhh((ó˙˙˙" Lucida Grande(cont.)$H$x Q€dű˙˙őů˙˙€€( Tests of Within-Subjects Effects€ ×GLM €dddd € €€€€€€€€€((€ĐjŔjj@@32.831€€€((€ĐjŔjj@@32.831€€€((€ĐjŔjj@@32.831€€€((€ĐjŔjj@@32.831€€€€€((€Žz04§4/@15.603€€€((€Žz04§4/@15.603€€€((€Žz04§4/@15.603€€€((€Žz04§4/@15.603€€€€€((€Ö'}ҧƒƒ@624.457€€€((€Ö'}ҧƒƒ@624.457€€€((€Ö'}ҧƒƒ@624.457€€€((€Ö'}ҧƒƒ@624.457€€€€€€(€đ?1€€€((€đ?1.000€€€((€đ?1.000€€€((€đ?1.000€€€€€(€@4€€€((€@4.000€€€((€@4.000€€€((€@4.000€€€€€(€ŔU@87€€€((€ŔU@87.000€€€((€ŔU@87.000€€€((€ŔU@87.000€€€€€€((€ĐjŔjj@@32.831€€€((€ĐjŔjj@@32.831€€€((€ĐjŔjj@@32.831€€€((€ĐjŔjj@@32.831€€€€€((€Žz04§4@3.901€€€((€Žz04§4@3.901€€€((€Žz04§4@3.901€€€((€Žz04§4@3.901€€€€€((€&Qîľ@7.178€€€((€&Qîľ@7.178€€€((€&Qîľ@7.178€€€((€&Qîľ@7.178€€€€€€(€ěŹBŸáK@4.574€€€(€ěŹBŸáK@4.574€€€(€ěŹBŸáK@4.574€€€(€ěŹBŸáK@4.574€€€€€(€PńHócá?.543€€€(€PńHócá?.543€€€(€PńHócá?.543€€€(€PńHócá?.543€€€€€€(€őŕ†Ä ˘?.035€€€(€őŕ†Ä ˘?.035€€€(€őŕ†Ä ˘?.035€€€(€őŕ†Ä ˘?.035€€€€€(€Ç§‰ć?.704€€€(€Ç§‰ć?.704€€€(€Ç§‰ć?.704€€€(€Ç§‰ć?.704 Tests of Within Subjects Effects&GLM_Table_TestsofWithinSubjectsEffects€Ÿ€Ą€öt€€(Epsilon CorrectionsŸ€Ą€+t€€(Sphericity AssumedŸ€Ą€t€€(Greenhouse-GeisserŸ€Ą€t€€( Huynh-FeldtŸ€Ą€ t€€( Lower-bound ¤¨Ź€Ÿ€Ą€t€€(MeasureŸ€Ą€t€€( MEASURE_1ľ€Ÿ€Ą€(t€€(SourceŸ€Ą€Gt€€(TIMEŸ€Ą€Ft€€( TIME * GROUPŸ€Ą€€€( Error(TIME)žÂƝ€Ÿ€Ą€,t€€( StatisticsŸ€Ą€;t€€(Type III Sum of SquaresŸ€Ą€ît€€(dfŸ€Ą€t€€( Mean SquareŸ€Ą€ýt€€(FŸ€Ą€%t€€(Sig.ĎÓ×ŰßK耛”ci”耰a]耹alalč€Ędadaad€€( Tests of Within-Subjects Effects€€(€€(ó€6ő€ő€ř€˙˙˙ú€Čx xó˙˙˙ź" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čhh((ó˙˙˙" Lucida Grande(cont.)$H$x Ű€Óů˙˙˝*ů˙˙€€("Tests of Within-Subjects Contrasts€ GLM €Äç@dddd € €€€€€€€€€((€kŔjj@@32.831€€€€€((€°z04§4/@15.603€€€€€((€Ö'}ҧƒƒ@624.457€€€€€€(€đ?1€€€€€(€@4€€€€€(€ŔU@87€€€€€€((€kŔjj@@32.831€€€€€((€°z04§4@3.901€€€€€((€&Qîľ@7.178€€€€€€(€"­BŸáK@4.574€€€€€(€QńHócá?.543€€€€€€(€€ŕ†Ä ˘?.035€€€€€(€Ç§‰ć?.704"Tests of Within Subjects Contrasts(GLM_Table_TestsofWithinSubjectsContrasts€Ÿ€Ą€˙˙˙˙€€(TIMEŸ€Ą€Űt€€(LinearU€Ÿ€Ą€t€€(MeasureŸ€Ą€t€€( MEASURE_1^€Ÿ€Ą€(t€€(SourceŸ€Ą€Gt€€(TIMEŸ€Ą€Ft€€( TIME * GROUPŸ€Ą€€€( Error(TIME)gko€Ÿ€Ą€,t€€( StatisticsŸ€Ą€;t€€(Type III Sum of SquaresŸ€Ą€ît€€(dfŸ€Ą€t€€( Mean SquareŸ€Ą€ýt€€(FŸ€Ą€%t€€(Sig.x|€„ˆKč€Pa:č€Ya]č€balalč€sdadaad€€("Tests of Within-Subjects Contrasts€€(€€(ó€6ő€ő€ř€˙˙˙ú€Čx xó˙˙˙ź" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čhh((ó˙˙˙" Lucida Grande(cont.)$H$x €ů˙˙cIř˙˙€€(!Tests of Between-Subjects Effects€ ŞGLM €Äç@dddd € €€€€€€€€€((€)vË ŕMÔ@ 20791.510€€€€€((€ŰLjĺ 3m@233.598€€€€€((€ۂ-ŘÂă•@1400.940€€€€€€(€đ?1€€€€€(€@4€€€€€(€ŔU@87€€€€€€((€)vË ŕMÔ@ 20791.510€€€€€((€ŰLjĺ 3M@58.399€€€€€((€l$™N0@16.103€€€€€€(€/‹Ôß´,”@1291.177€€€€€(€ETÎl @3.627€€€€€€(€.5Źçfá4.000€€€€€(€žfńI ‚?.009&Test of Between Subjects Fixed Effects+GLM_Table_TestofBetweenSubjectsFixedEffects€Ÿ€Ą€5t€€(Transformed VariableŸ€Ą€€€(Averageţ€Ÿ€Ą€t€€(MeasureŸ€Ą€t€€( MEASURE_1€Ÿ€Ą€(t€€(SourceŸ€Ą€˙˙˙˙€€( InterceptŸ€Ą€˙˙˙˙€€(GROUPŸ€Ą€÷t€€(Error€Ÿ€Ą€,t€€( StatisticsŸ€Ą€;t€€(Type III Sum of SquaresŸ€Ą€ît€€(dfŸ€Ą€t€€( Mean SquareŸ€Ą€ýt€€(FŸ€Ą€%t€€(Sig.!%)-1Kč€ůaœ€č€a]č€ aaaLč€dadaad€€(!Tests of Between-Subjects Effects€€(€€(ó€6ő€ő€ř€˙˙˙ú€Čx xó˙˙˙ź" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čhh((ó˙˙˙" Lucida Grande(cont.)$H$x Ž€€(Estimated Marginal Means€S'ř˙˙qř˙˙€€(Title€WGLMň˙˙˙źLucida GrandePÁ{\rtf1\ansi\deff0\deftab720\deflang1033{\fonttbl{\f0\fnil\fcharset0 Lucida Grande;}} {\colortbl\red0\green0\blue0;} \pard\ql\plain\f0\fs28\cf0 \plain\f0\fs28\cf0\b Estimated Marginal Means }€ě÷˙˙ň÷˙˙€€(1. GROUP€ [GLM €Äç@dddd € €€€€€€€€((€ +@13.813€€€(€8áč! đ?1.003€€€((€™Ă÷ďŁ'@11.819€€€((€g<ëœ/@15.806€€€€((€23333s'@11.725€€€(€_ŔD˝ŁśÜ?.449€€€((€ÝeŠŠĄŞ%@10.833€€€((€‡˝źÄ;)@12.617€€€€((€fffff&*@13.075€€€(€ôf’ćŻMä?.634€€€((€aßńś '@11.814€€€((€k?íÚŹ,@14.336€€€€((€ÇqÇq$@10.222€€€(€°ö%ADî?.946€€€((€§Îë1?Ż @8.342€€€((€•ż÷O4(@12.102€€€€((€ŞŞŞŞŞŞ+@13.833€€€(€2`ƨĹqç?.733€€€((€›*cęÁ(@12.377€€€((€š*ňj=”.@15.290Estimated Marginal Means GLM_Table_EstimatedMarginalMeans€Ÿ€Ą€,t€€( StatisticsŸ€Ą€t€€(MeanŸ€Ą€.t€€( Std. ErrorŸ€Ą€Öt€€(95% Confidence IntervalŸ€Ą€ t€€( Lower BoundŸ€Ą€=t€€( Upper BoundŤŻˇť€Ÿ€Ą€˙˙˙˙€€(GROUPŸ€Ą€˙˙˙˙€€(Athens Ÿ€Ą€˙˙˙˙€€(ControlŸ€Ą€˙˙˙˙€€(Oviedo Ÿ€Ą€˙˙˙˙€€(Siena Ÿ€Ą€˙˙˙˙€€(Vienna ÄČĚĐԝ€Ÿ€Ą€t€€(MeasureŸ€Ą€t€€( MEASURE_1ÝK耦aaaaO耿aaaaaBč€Řa]€€(1. GROUP€€(€€(ó€6ő€ő€ř€˙˙˙ú€Čx xó˙˙˙ź" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čhh((ó˙˙˙" Lucida Grande(cont.)$H$x _€ßö˙˙â6ö˙˙€€(2. TIME€ ţGLM €dddd € €€€€€€€€((€Đi6*@13.032€€€(€ ŚýN~!Ú?.408€€€((€PüŁßľp(@12.220€€€((€P×bZˇŻ+@13.843€€€€((€˝šxV4(@12.036€€€(€ÎÜMÚˇˆŰ?.430€€€((€&=âœc\&@11.180€€€((€TřČ)@12.891Estimated Marginal Means GLM_Table_EstimatedMarginalMeans€Ÿ€Ą€,t€€( StatisticsŸ€Ą€t€€(MeanŸ€Ą€.t€€( Std. ErrorŸ€Ą€Öt€€(95% Confidence IntervalŸ€Ą€ t€€( Lower BoundŸ€Ą€=t€€( Upper Bound'+37€Ÿ€Ą€˙˙˙˙€€(TIMEŸ€Ą€˙˙˙˙€€(€đ?1Ÿ€Ą€˙˙˙˙€€(€@2@D€Ÿ€Ą€t€€(MeasureŸ€Ą€t€€( MEASURE_1MKč€"aaaaOč€;aa2€č€Ha]€€(2. TIME€€(€€(ó€6ő€ő€ř€˙˙˙ú€Čx xó˙˙˙ź" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čhh((ó˙˙˙" Lucida Grande(cont.)$H$x €™ô˙˙°ô˙˙€€( 4. Grand Mean€ nGLM €dddd € €€€€€€€((€Fžy5)@12.534€€€(€dˆƒÔRÖ?.349€€€((€Ąßš>Ž'@11.840€€€((€{cœ9,t*@13.227Estimated Marginal Means GLM_Table_EstimatedMarginalMeans€Ÿ€Ą€,t€€( StatisticsŸ€Ą€t€€(MeanŸ€Ą€.t€€( Std. ErrorŸ€Ą€Öt€€(95% Confidence IntervalŸ€Ą€ t€€( Lower BoundŸ€Ą€=t€€( Upper Bound‰•™€Ÿ€Ą€t€€(MeasureŸ€Ą€t€€( MEASURE_1˘K耄aaaaO耝a]€€( 4. Grand Mean€€(€€(ó€6ő€ő€ř€˙˙˙ú€Čx xó˙˙˙ź" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čhh((ó˙˙˙" Lucida Grande(cont.)$H$x r€€(General Linear Model€ÂGLMäó˙˙qËó˙˙€€(Title€ĆGLMň˙˙˙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˙˙˙JÚý˙˙€€(Notes€ĘGLM €ŤŤŤŤŤŤŤŤdddd € €€€ €€€€PĄƒöB22-JUN-2007 08:19:54€€€( €€€(€€€(€€€(€€€(€ŕc@159€€€(3User-defined missing values are treated as missing.€€€(QStatistics are based on all cases with valid data for all variables in the model.€€€(˙ GLM aicomaff ai2comaf BY group /WSFACTOR = time 2 Polynomial /METHOD = SSTYPE(3) /EMMEANS = TABLES(group) /EMMEANS = TABLES(time) /EMMEANS = TABLES(group*time) /EMMEANS = TABLES(OVERALL) /CRITERIA = ALPHA(.05) /WSDESIGN = time /DESIGN = group . €€€ € 0:00:00.00Notes GLM_Notes€Ÿ€Ą€Řt€€(ContentsŸ€Ą€t€€(Output CreatedŸ€Ą€t€€(CommentsŸ€Ą€t€€(InputŸ€Ą€t€€(DataŸ€Ą€t€€(FilterŸ€Ą€ t€€(WeightŸ€Ą€ t€€( Split FileŸ€Ą€ t€€(N of Rows in Working Data FileŸ€Ą€t€€(Missing Value HandlingŸ€Ą€ćt€€(Definition of MissingŸ€Ą€Őt€€( Cases UsedŸ€Ą€ t€€(SyntaxŸ€Ą€t€€( ResourcesŸ€Ą€ t€€( Elapsed TimeŸ€Ą€t€€( ResourcesŸ€Ą€ t€€( Elapsed Time öú "*2  áč€ń uaaaaaŠ–aagg–€€(Notes€€(€€(ó€6ő€ő€ř€˙˙˙ú€Čx xó˙˙˙ź" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čhh((ó˙˙˙" Lucida Grande(cont.)$H$x Î€Šó˙˙ŕó˙˙€€(Within-Subjects Factors€ QGLM €dddd € €€€€€€€€(AICOMAFF€€€€(AI2COMAFWithin Subjects FactorsGLM_Table_WithinSubjectsFactors€Ÿ€Ą€ęt€€(DepVarŸ€Ą€çt€€(Dependent Variableh€Ÿ€Ą€˙˙˙˙€€(TIMEŸ€Ą€˙˙˙˙€€(€đ?1Ÿ€Ą€˙˙˙˙€€(€@2qu€Ÿ€Ą€t€€(MeasureŸ€Ą€t€€( MEASURE_1~Kč€cddč€laa2€č€ya]€€(Within-Subjects Factors€€(€€(ó€6ő€ő€ř€˙˙˙ú€Čx xó˙˙˙ź" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čhh((ó˙˙˙" Lucida Grande(cont.)$H$x U€ôň˙˙Bň˙˙€€(Between-Subjects Factors€ ŸGLM €8Ş@dddd € €€€€€€€(€ @8€€€€(€D@40€€€€(€4@20€€€€(€"@9€€€€(€.@15Between Subjects Factors GLM_Table_BetweenSubjectsFactors€Ÿ€Ą€t€€( PropertiesŸ€Ą€?t€€( Value LabelŸ€Ą€t€€(NÁŝ€Ÿ€Ą€ţt€€( Factor LevelsŸ€Ą€˙˙˙˙€€(GROUPŸ€Ą€˙˙˙˙€€(Athens Ÿ€Ą€˙˙˙˙€€(ControlŸ€Ą€˙˙˙˙€€(Oviedo Ÿ€Ą€˙˙˙˙€€(Siena Ÿ€Ą€˙˙˙˙€€(Vienna ŇÖÚŢâK耼aa\č€ÉaaaaaB€€(Between-Subjects Factors€€(€€(ó€6ő€ő€ř€˙˙˙ú€Čx xó˙˙˙ź" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čhh((ó˙˙˙" Lucida Grande(cont.)$H$x Ł€ ň˙˙Óđ˙˙€€(Multivariate Tests€  GLM €sdddd € €€€€€€€€(€¸ ć̓‘?.017€€€(€űʐšçsď?.983€€€(€M ˜Řё?.017€€€(€M ˜Řё?.017€€€€(€Ľ××TÒł?.076€€€(€ e•§í?.924€€€(€ Ä˜1ľ?.083€€€(€ Ä˜1ľ?.083€€€€€€(€Žn(8ř?1.514€€€€(€ß­n(8ř?1.514€€€€(€Žn(8ř?1.514€€€€(€Žn(8ř?1.514€€€€€(€ފ‚šjĎü?1.801€€€€(€ąŠ‚šjĎü?1.801€€€€(€ފ‚šjĎü?1.801€€€€(€ފ‚šjĎü?1.801€€€€€((€đ?1.000€€€((€đ?1.000€€€((€đ?1.000€€€((€đ?1.000€€€€((€@4.000€€€((€@4.000€€€((€@4.000€€€((€@4.000€€€€€((€ŔU@87.000€€€((€ŔU@87.000€€€((€ŔU@87.000€€€((€ŔU@87.000€€€€((€ŔU@87.000€€€((€ŔU@87.000€€€((€ŔU@87.000€€€((€ŔU@87.000€€€€€(€|iÝuĺfĚ?.222€€€(€ßiÝuĺfĚ?.222€€€(€|iÝuĺfĚ?.222€€€(€|iÝuĺfĚ?.222€€€€(€ú:Ş“ogÁ?.136€€€(€ú:Ş“ogÁ?.136€€€(€ú:Ş“ogÁ?.136€€€(€ú:Ş“ogÁ?.136Default Multivariate Tests"GLM_Table_DefaultMultivariateTests€Ÿ€Ą€2t€€(TestŸ€Ą€t€€(Pillai's TraceŸ€Ą€Ct€€( Wilks' LambdaŸ€Ą€t€€(Hotelling's TraceŸ€Ą€$t€€(Roy's Largest RootŸ Ł § Ť €Ÿ€Ą€ôt€€(EffectŸ€Ą€Gt€€(TIMEŸ€Ą€Ft€€( TIME * GROUP´ ¸ €Ÿ€Ą€,t€€( StatisticsŸ€Ą€>t€€(ValueŸ€Ą€ýt€€(FŸ€Ą€t€€( Hypothesis dfŸ€Ą€řt€€(Error dfŸ€Ą€%t€€(Sig.Á Ĺ É Í Ń 'ƒ)ƒ€(6Design: Intercept+GROUP Within Subjects Design: TIME:1^*€€€(Multivariate Tests'ƒ)ƒ€(Exact statistic) - 1 5 : > B F K耚 am}ˆˆč€Ż all耼 aadaadŘ €€(€€(ó€6ő€ő€ř€˙˙˙ú€Čx xó˙˙˙ź" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čhh((ó˙˙˙" Lucida Grande(cont.)$H$x  €ąđ˙˙s’ď˙˙€€(Mauchly's Test of Sphericity€ ů GLM €ô˜@dddd € €€€€€€€€(€đ?1.000€€€€€(€.000€€€€€(€0€€€€€(€˙˙˙˙˙˙ď˙.€€€€€((€đ?1.000€€€€€((€đ?1.000€€€€€((€đ?1.000 Mauchly TestGLM_Table_MauchlyTest€Ÿ€Ą€t€€(MeasureŸ€Ą€t€€( MEASURE_1* €Ÿ€Ą€Et€€(Within Subjects EffectŸ€Ą€Gt€€(TIME3 €Ÿ€Ą€,t€€( StatisticsŸ€Ą€t€€( Mauchly's WŸ€Ą€Ět€€(Approx. Chi-SquareŸ€Ą€ît€€(dfŸ€Ą€%t€€(Sig.Ÿ€Ą€őt€€€(EpsilonŸ€Ą€t€€(Greenhouse-GeisserŸ€Ą€t€€( Huynh-FeldtŸ€Ą€ t€€( Lower-bound< @ D H Q U Y 'ƒ)ƒ€(6Design: Intercept+GROUP Within Subjects Design: TIME:1^*€€€(Mauchly's Test of Sphericity'ƒ)ƒ€(ĄMay be used to adjust the degrees of freedom for the averaged tests of significance. Corrected tests are displayed in the Tests of Within-Subjects Effects table.N ř€ú€Ȁ€€€€˙Kč€% a]č€. a›€č€7 adaaacad` €f €(˜Tests the null hypothesis that the error covariance matrix of the orthonormalized transformed dependent variables is proportional to an identity matrix.€€(ó€6ő€ő€ř€˙˙˙ú€Čx xó˙˙˙ź" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čhh((ó˙˙˙" Lucida Grande(cont.)$H$x ý €pď˙˙î˙˙€€( Tests of Within-Subjects Effects€ ƒ GLM €Äç@dddd € €€€€€€€€€((€`c°[X@7.086€€€((€`c°[X@7.086€€€((€`c°[X@7.086€€€((€`c°[X@7.086€€€€€((€>é“>éŰ@@33.718€€€((€>é“>éŰ@@33.718€€€((€>é“>éŰ@@33.718€€€((€>é“>éŰ@@33.718€€€€€((€ڂ-؂ty@407.282€€€((€ڂ-؂ty@407.282€€€((€ڂ-؂ty@407.282€€€((€ڂ-؂ty@407.282€€€€€€(€đ?1€€€((€đ?1.000€€€((€đ?1.000€€€((€đ?1.000€€€€€(€@4€€€((€@4.000€€€((€@4.000€€€((€@4.000€€€€€(€ŔU@87€€€((€ŔU@87.000€€€((€ŔU@87.000€€€((€ŔU@87.000€€€€€€((€`c°[X@7.086€€€((€`c°[X@7.086€€€((€`c°[X@7.086€€€((€`c°[X@7.086€€€€€((€>é“>éŰ @8.430€€€((€>é“>éŰ @8.430€€€((€>é“>éŰ @8.430€€€((€>é“>éŰ @8.430€€€€€((€3cY[Áš@4.681€€€((€3cY[Áš@4.681€€€((€3cY[Áš@4.681€€€((€3cY[Áš@4.681€€€€€€(€Žn(8ř?1.514€€€(€Žn(8ř?1.514€€€(€Žn(8ř?1.514€€€(€Žn(8ř?1.514€€€€€(€ʊ‚šjĎü?1.801€€€(€ʊ‚šjĎü?1.801€€€(€ʊ‚šjĎü?1.801€€€(€ʊ‚šjĎü?1.801€€€€€€(€|iÝuĺfĚ?.222€€€(€|iÝuĺfĚ?.222€€€(€|iÝuĺfĚ?.222€€€(€|iÝuĺfĚ?.222€€€€€(€ú:Ş“ogÁ?.136€€€(€ú:Ş“ogÁ?.136€€€(€ú:Ş“ogÁ?.136€€€(€ú:Ş“ogÁ?.136 Tests of Within Subjects Effects&GLM_Table_TestsofWithinSubjectsEffects€Ÿ€Ą€öt€€(Epsilon CorrectionsŸ€Ą€+t€€(Sphericity AssumedŸ€Ą€t€€(Greenhouse-GeisserŸ€Ą€t€€( Huynh-FeldtŸ€Ą€ t€€( Lower-boundL P T X €Ÿ€Ą€t€€(MeasureŸ€Ą€t€€( MEASURE_1a €Ÿ€Ą€(t€€(SourceŸ€Ą€Gt€€(TIMEŸ€Ą€Ft€€( TIME * GROUPŸ€Ą€€€( Error(TIME)j n r €Ÿ€Ą€,t€€( StatisticsŸ€Ą€;t€€(Type III Sum of SquaresŸ€Ą€ît€€(dfŸ€Ą€t€€( Mean SquareŸ€Ą€ýt€€(FŸ€Ą€%t€€(Sig.{  ƒ ‡ ‹ Kč€G ”ci”č€\ a]č€e alalč€v dadaad€€( Tests of Within-Subjects Effects€€(€€(ó€6ő€ő€ř€˙˙˙ú€Čx xó˙˙˙ź" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čhh((ó˙˙˙" Lucida Grande(cont.)$H$x ‡ €ßí˙˙˝6í˙˙€€("Tests of Within-Subjects Contrasts€ ­ GLM €dddd € €€€€€€€€€((€`°[X@7.086€€€€€((€@é“>éŰ@@33.718€€€€€((€ق-؂ty@407.282€€€€€€(€đ?1€€€€€(€@4€€€€€(€ŔU@87€€€€€€((€`°[X@7.086€€€€€((€@é“>éŰ @8.430€€€€€((€3cY[Áš@4.681€€€€€€(€:Ťn(8ř?1.514€€€€€(€°Š‚šjĎü?1.801€€€€€€(€ĐlÝuĺfĚ?.222€€€€€(€ú:Ş“ogÁ?.136"Tests of Within Subjects Contrasts(GLM_Table_TestsofWithinSubjectsContrasts€Ÿ€Ą€˙˙˙˙€€(TIMEŸ€Ą€Űt€€(Linear €Ÿ€Ą€t€€(MeasureŸ€Ą€t€€( MEASURE_1 €Ÿ€Ą€(t€€(SourceŸ€Ą€Gt€€(TIMEŸ€Ą€Ft€€( TIME * GROUPŸ€Ą€€€( Error(TIME)   €Ÿ€Ą€,t€€( StatisticsŸ€Ą€;t€€(Type III Sum of SquaresŸ€Ą€ît€€(dfŸ€Ą€t€€( Mean SquareŸ€Ą€ýt€€(FŸ€Ą€%t€€(Sig.$ ( , 0 4 Kč€ü a:č€ a]č€ alalč€ dadaad€€("Tests of Within-Subjects Contrasts€€(€€(ó€6ő€ő€ř€˙˙˙ú€Čx xó˙˙˙ź" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čhh((ó˙˙˙" Lucida Grande(cont.)$H$x ą €í˙˙cUě˙˙€€(!Tests of Between-Subjects Effects€ V GLM €dddd € €€€€€€€€€((€{ĆńPĘÜ@ 29481.265€€€€€((€#ËA˘P˛T@82.786€€€€€((€.؂-˜|–@1439.149€€€€€€(€đ?1€€€€€(€@4€€€€€(€ŔU@87€€€€€€((€{ĆńPĘÜ@ 29481.265€€€€€((€#ËA˘P˛4@20.697€€€€€((€9ČŢsźŠ0@16.542€€€€€€(€é^–Ú؛@1782.213€€€€€(€˝+źô?1.251€€€€€€(€°šĚgŸŻ3.000€€€€€(€ŕĎdéčŇ?.295&Test of Between Subjects Fixed Effects+GLM_Table_TestofBetweenSubjectsFixedEffects€Ÿ€Ą€5t€€(Transformed VariableŸ€Ą€€€(AverageŞ €Ÿ€Ą€t€€(MeasureŸ€Ą€t€€( MEASURE_1ł €Ÿ€Ą€(t€€(SourceŸ€Ą€˙˙˙˙€€( InterceptŸ€Ą€˙˙˙˙€€(GROUPŸ€Ą€÷t€€(Errorź Ŕ Ä €Ÿ€Ą€,t€€( StatisticsŸ€Ą€;t€€(Type III Sum of SquaresŸ€Ą€ît€€(dfŸ€Ą€t€€( Mean SquareŸ€Ą€ýt€€(FŸ€Ą€%t€€(Sig.Í Ń Ő Ů Ý K耥 aœ€č€Ž a]耷 aaaLč€Č dadaad€€(!Tests of Between-Subjects Effects€€(€€(ó€6ő€ő€ř€˙˙˙ú€Čx xó˙˙˙ź" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čhh((ó˙˙˙" Lucida Grande(cont.)$H$x Z €€(Estimated Marginal Means€˙ 3ě˙˙qě˙˙€€(Title€ GLMň˙˙˙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 }€řë˙˙ň ë˙˙€€(1. GROUP€  GLM €dddd € €€€€€€€€((€P0@16.313€€€(€eËőXĘDđ?1.017€€€((€ÍŁóĺ@•,@14.292€€€((€._U2@18.333€€€€((€43333ł.@15.350€€€(€Ź>¨4Ý?.455€€€((€ĹeU‚rä,@14.446€€€((€Q€ňů@0@16.254€€€€((€ÎĚĚĚĚL,@14.150€€€(€2ˆEč”ä?.643€€€((€éom^ž)@12.872€€€((€°),;Ű.@15.428€€€€((€:Žă8Žă,@14.444€€€(€ƒ6ÂA4­î?.959€€€((€´ ¨šü)@12.539€€€((€ŕ‡܏Y0@16.350€€€€((€¸ťťťťť,@14.367€€€(€¸řąŐĂç?.743€€€((€'Ä´Č)@12.891€€€((€IłrĂgŻ/@15.843Estimated Marginal Means GLM_Table_EstimatedMarginalMeans€Ÿ€Ą€,t€€( StatisticsŸ€Ą€t€€(MeanŸ€Ą€.t€€( Std. ErrorŸ€Ą€Öt€€(95% Confidence IntervalŸ€Ą€ t€€( Lower BoundŸ€Ą€=t€€( Upper BoundW [ c g €Ÿ€Ą€˙˙˙˙€€(GROUPŸ€Ą€˙˙˙˙€€(Athens Ÿ€Ą€˙˙˙˙€€(ControlŸ€Ą€˙˙˙˙€€(Oviedo Ÿ€Ą€˙˙˙˙€€(Siena Ÿ€Ą€˙˙˙˙€€(Vienna p t x | € €Ÿ€Ą€t€€(MeasureŸ€Ą€t€€( MEASURE_1‰ Kč€R aaaaOč€k aaaaaB耄 a]€€(1. GROUP€€(€€(ó€6ő€ő€ř€˙˙˙ú€Čx xó˙˙˙ź" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čhh((ó˙˙˙" Lucida Grande(cont.)$H$x  €ëę˙˙âBę˙˙€€(2. TIME€ Ş GLM €dddd € €€€€€€€€((€cÉ/–üb-@14.693€€€(€:˛ ĺlÚ?.413€€€((€4źćĚž+@13.873€€€((€Ż^ŁE,/@15.514€€€€((€d‡ŠËíO.@15.156€€€(€?šëĆ?ÎŘ?.388€€€((€Y)_UĹ,@14.386€€€((€oĺóA\Ú/@15.926Estimated Marginal Means GLM_Table_EstimatedMarginalMeans€Ÿ€Ą€,t€€( StatisticsŸ€Ą€t€€(MeanŸ€Ą€.t€€( Std. ErrorŸ€Ą€Öt€€(95% Confidence IntervalŸ€Ą€ t€€( Lower BoundŸ€Ą€=t€€( Upper BoundÓ × ß ă €Ÿ€Ą€˙˙˙˙€€(TIMEŸ€Ą€˙˙˙˙€€(€đ?1Ÿ€Ą€˙˙˙˙€€(€@2ě đ €Ÿ€Ą€t€€(MeasureŸ€Ą€t€€( MEASURE_1ů Kč€Î aaaaOč€ç aa2€č€ô a]€€(2. TIME€€(€€(ó€6ő€ő€ř€˙˙˙ú€Čx xó˙˙˙ź" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čhh((ó˙˙˙" Lucida Grande(cont.)$H$x Ž € ę˙˙$Çč˙˙€€(3. GROUP * TIME€ GLM €dddd € €€€€€€€€€((€0@16.000€€€(€äłł÷(ó?1.188€€€((€˙ńW‘~G+@13.640€€€((€Tˇ@\2@18.360€€€€((€ 0@16.625€€€(€´B&€Öń?1.115€€€((€Śóču‘Ń,@14.409€€€((€-† E7×2@18.841€€€€€((€hfffff/@15.700€€€(€SćŁţŕ?.531€€€((€4 -›đI-@14.644€€€((€NŕĎnÁ0@16.756€€€€((€.@15.000€€€(€ŻäWČđçß?.499€€€((€6ťmŤŞ,@14.009€€€((€ĘD’TUű/@15.991€€€€€((€533333,@14.100€€€(€ˆv¸Öşč?.751€€€((€ŞBťß6)@12.607€€€((€Sź#Ť†//@15.593€€€€((€gfffff,@14.200€€€(€„- -›ć?.705€€€((€¤ë2ě˜)@12.799€€€((€*᙮ŕ3/@15.601€€€€€((€ŹŞŞŞŞŞ*@13.333€€€(€—Úľ[ůéń?1.120€€€((€ř†ÓF7&@11.108€€€((€:]΁/@15.559€€€€((€ÇqÇq/@15.556€€€(€ňÓíőáĐđ?1.051€€€((€,˙Räî*@13.467€€€((€1ąœ˙¤1@17.645€€€€€((€¨ŞŞŞŞŞ,@14.333€€€(€”ş#zŔë?.867€€€((€ ÁŢU8)@12.610€€€((€!Jť˙0@16.057€€€€((€ÉĚĚĚĚĚ,@14.400€€€(€ÎÎ-u ę?.814€€€((€,*őT)@12.782€€€((€ł7Ňˢ0@16.018Estimated Marginal Means GLM_Table_EstimatedMarginalMeans€Ÿ€Ą€,t€€( StatisticsŸ€Ą€t€€(MeanŸ€Ą€.t€€( Std. ErrorŸ€Ą€Öt€€(95% Confidence IntervalŸ€Ą€ t€€( Lower BoundŸ€Ą€=t€€( Upper Bound°´źŔ€Ÿ€Ą€˙˙˙˙€€(TIMEŸ€Ą€˙˙˙˙€€(€đ?1Ÿ€Ą€˙˙˙˙€€(€@2É͝€Ÿ€Ą€˙˙˙˙€€(GROUPŸ€Ą€˙˙˙˙€€(Athens Ÿ€Ą€˙˙˙˙€€(ControlŸ€Ą€˙˙˙˙€€(Oviedo Ÿ€Ą€˙˙˙˙€€(Siena Ÿ€Ą€˙˙˙˙€€(Vienna ÖÚŢâć€Ÿ€Ą€t€€(MeasureŸ€Ą€t€€( MEASURE_1ďK耫aaaaOč€Äaa2€č€ŃaaaaaBč€ęa]€€(3. GROUP * TIME€€(€€(ó€6ő€ő€ř€˙˙˙ú€Čx xó˙˙˙ź" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čhh((ó˙˙˙" Lucida Grande(cont.)$H$x €Ľč˙˙°č˙˙€€( 4. Grand Mean€ GLM €dddd € €€€€€€€((€d¨ě0uŮ-@14.925€€€(€…ڎ< Ö?.354€€€((€ĹjDšŻq,@14.222€€€((€ć”Ç:A/@15.627Estimated Marginal Means GLM_Table_EstimatedMarginalMeans€Ÿ€Ą€,t€€( StatisticsŸ€Ą€t€€(MeanŸ€Ą€.t€€( Std. ErrorŸ€Ą€Öt€€(95% Confidence IntervalŸ€Ą€ t€€( Lower BoundŸ€Ą€=t€€( Upper Bound,08<€Ÿ€Ą€t€€(MeasureŸ€Ą€t€€( MEASURE_1EKč€'aaaaOč€@a]€€( 4. Grand Mean€€(€€(ó€6ő€ő€ř€˙˙˙ú€Čx xó˙˙˙ź" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čx ó˙˙˙" Lucida Grandeř€˙˙˙ú€Čhh((ó˙˙˙" Lucida Grande(cont.)$H$x PPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPP