ĐĎॹá>ţ˙ ţ˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙Root Entry˙˙˙˙˙˙˙˙€Î†ł9ŒČ+@Contents˙˙˙˙˙˙˙˙˙˙˙˙˘%Embedding 1˙˙˙˙N›˘›Š@ş\­}ÝćP f:9ŒČ€Î†ł9ŒČContents˙˙˙˙˙˙˙˙,&)ý˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙ !"#$%&'(ţ˙˙˙ţ˙˙˙ţ˙˙˙ţ˙˙˙-./01234ţ˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙Root Entry˙˙˙˙˙˙˙˙đw{ž;ŒČä@Contents˙˙˙˙˙˙˙˙˙˙˙˙PzContents˙˙˙˙˙˙˙˙ĺ"OlePres000˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙ý˙˙˙ţ˙˙˙ţ˙˙˙ý˙˙˙ 5˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙6789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~€˙˙˙˙˙˙˙˙˙˙˙˙ţ˙˙˙Embedding 3˙˙˙˙N›˘›Š@ş\­}ÝćŕCÁˇ9ŒČđw{ž;ŒČ˙˙˙˙˙˙˙˙˙˙˙˙N›˘›Š@ş\­}ÝćĐţš9ŒČĐţš9ŒČ˙˙˙˙˙˙˙˙˙˙˙˙ţ˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙‚ƒ„…†‡ˆ‰Š‹ŒŽ‘’“”•–—˜™š›œžŸ Ą˘Ł¤ĽŚ§¨ŠŞŤŹ­ŽŻ°ą˛ł´ľśˇ¸šşťź˝žżŔÁÂĂÄĹĆÇČÉĘËĚÍÎĎĐŃŇÓÔŐÖ×ŘŮÚŰÜÝŢßŕáâăţ˙˙˙ţ˙˙˙ćçčéęëěíţ˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙SPSS Output Documentc˙˙NavTitleŔé˙˙Šé˙˙˙˙ DspSimpleText˙˙ DspString(Title˙˙NavTreeViewItemGLMí˙˙˙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 } Ţ˙˙˙((ő4!ř*ööööđs (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 } 4˙˙NavRoot€€(Output€ ˙˙NavLogł˝˙˙˙€€(Log€ "Courier Newr NewPC{\rtf1\ansi\deff0{\fonttbl{\f0\fswiss\fprq2\fcharset0 Courier New;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\cf1\lang1033\f0\fs20 DESCRIPTIVES\par VARIABLES=G1CrCulComp G1SubInterest G1SocGather G1Total G2CrCulComp\par G2SubInterest G2SocGather G2Total\par /STATISTICS=MEAN STDDEV MIN MAX .\par } €›˙˙˙łX˙˙˙€€(Log€ "Courier Newr NewPC{\rtf1\ansi\deff0{\fonttbl{\f0\fswiss\fprq2\fcharset0 Courier New;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\cf1\lang1033\f0\fs20 DESCRIPTIVES\par VARIABLES=G1CrCulComp G1SubInterest G1SocGather G1Total G2CrCulComp\par G2SubInterest G2SocGather G2Total\par /STATISTICS=MEAN STDDEV MIN MAX .\par } ˙˙NavHead€€( Descriptives€ Descriptives€6˙˙˙˙˙˙€€(Title€ Descriptivesí˙˙˙ź"ArialalP˘{\rtf1\ansi\deff0{\fonttbl{\f0\fswiss\fprq2\fcharset0 Arial;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\cf1\lang1033\b\f0\fs28 Descriptives\par } ˙˙NavNote^ţ˙˙€€(Notes€! Descriptives˙˙PTPivotControllerdddd˙˙ PVPivotView˙˙ PMPivotModel˙˙NDimensional__DspCell˙˙IndexedCollection ˙˙DspCell€˙˙ DspNumber€‘íó÷Í B22-MAR-2008 09:27:26/€€€( /€€€(DataSet1/€€€(/€€€(/€€€(/€€2€(€ b@145/€€€(3User defined missing values are treated as missing./€€€(All non-missing data are used./€€€(›DESCRIPTIVES VARIABLES=G1CrCulComp G1SubInterest G1SocGather G1Total G2CrCulComp G2SubInterest G2SocGather G2Total /STATISTICS=MEAN STDDEV MIN MAX . /€€2€ €üŠńŇMb ? 0:00:00.03/€€2€ €üŠńŇMb? 0:00:00.02NotesDescriptives_Notes˙˙PMPivotItemTree˙˙AbstractTreeBranch˙˙PMModelItemInfo t€€(ContentsW€Y€t€€(Output CreatedW€Y€t€€(CommentsW€Y€ t€€(InputW€Y€€€(Active DatasetW€Y€t€€(FilterW€Y€t€€(WeightW€Y€t€€( Split FileW€Y€t€€(N of Rows in Working Data FileW€Y€t€€(Missing Value HandlingW€Y€ t€€(Definition of MissingW€Y€t€€( Cases UsedW€Y€ t€€(Weight HandlingW€Y€ t€€(SyntaxW€Y€t€€( ResourcesW€Y€ t€€(Processor TimeW€Y€ t€€( Elapsed Time ]aimquy…‰•™  á˙˙PVViewDimensionV iTcKKK}‡\rKoc‡€€(Notes€€(€€(˙˙ PTTableLook6˙˙PVSeparatorStyle§€˙˙ PVCellStyle˙˙˙˙˙ PVTextStyleČx xó˙˙˙ź"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čhh((ó˙˙˙"Arial(cont.)$H$x˙˙PVPrintManager&˙˙NavTextýţ˙˙łěţ˙˙€€(Active Dataset€ż Descriptivesó˙˙˙"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 } ˙˙NavPivotĐ4\Ęţ˙˙,ßý˙˙€€(Descriptive Statistics€ Ä˙˙ NavOleItem Descriptives%€dddd'€)€+€-€ -€/€€2€(€ŔS@79/€€2€(€2@18/€€2€(€9@25/€€2€(€7@23.00/€€2€(€ůďĎ1.4@2.025-€/€€2€(€ŔS@79/€€2€(€(@12/€€2€(€4@20/€€2€(€¨tdĎ0@16.81/€€2€(€unƸÓL@2.288-€/€€2€(€ŔS@79/€€2€(€@4/€€2€(€4@20/€€2€(€”ŽěˆJ'@11.65/€€2€(€•[ţŸ @3.453-€/€€2€(€ŔS@79/€€2€(€€C@39/€€2€(€@P@65/€€2€(€tdĎ@TşI@51.46/€€2€(€ŻÓF‚Ű–@5.647-€/€€2€(€€P@66/€€2€(€,@14/€€2€(€9@25/€€2€(€ |đÁ4@20.12/€€2€(€XŽŻ´ťÝ@2.858-€/€€2€(€€P@66/€€2€(€@7/€€2€(€4@20/€€2€(€>řŕƒ>-@14.62/€€2€(€9ł 7@3.027-€/€€2€(€€P@66/€€2€(€@4/€€2€(€3@19/€€2€(€>řŕƒ)@12.76/€€2€(€ţžĽ1A´ @3.713-€/€€2€(€€P@66/€€2€(€>@30/€€2€(€€N@61/€SPSS Output Documentc˙˙NavLog›˙˙˙łX˙˙˙˙˙ DspSimpleText˙˙ DspString(Log˙˙NavTreeViewItem "Courier Newr NewPC{\rtf1\ansi\deff0{\fonttbl{\f0\fswiss\fprq2\fcharset0 Courier New;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\cf1\lang1033\f0\fs20 DESCRIPTIVES\par VARIABLES=G1CrCulComp G1SubInterest G1SocGather G1Total G2CrCulComp\par G2SubInterest G2SocGather G2Total\par /STATISTICS=MEAN STDDEV MIN MAX .\par } Ţ˙˙˙(("4!ř*ööööđs (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€ €ł˝˙˙˙€€(Log€ "Courier Newr NewPC{\rtf1\ansi\deff0{\fonttbl{\f0\fswiss\fprq2\fcharset0 Courier New;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\cf1\lang1033\f0\fs20 DESCRIPTIVES\par VARIABLES=G1CrCulComp G1SubInterest G1SocGather G1Total G2CrCulComp\par G2SubInterest G2SocGather G2Total\par /STATISTICS=MEAN STDDEV MIN MAX .\par } ˙˙NavHead€€( Descriptives€ Descriptives˙˙NavTitle6˙˙˙˙˙˙€€(Title€ Descriptivesí˙˙˙ź"ArialalP˘{\rtf1\ansi\deff0{\fonttbl{\f0\fswiss\fprq2\fcharset0 Arial;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\cf1\lang1033\b\f0\fs28 Descriptives\par } ˙˙NavNote^ţ˙˙€€(Notes€ Descriptives˙˙PTPivotControllerdddd˙˙ PVPivotView˙˙ PMPivotModel˙˙NDimensional__DspCell˙˙IndexedCollection ˙˙DspCell€˙˙ DspNumber€‘íó÷Í B22-MAR-2008 09:27:26+€€€( +€€€(DataSet1+€€€(+€€€(+€€€(+€€.€(€ b@145+€€€(3User defined missing values are treated as missing.+€€€(All non-missing data are used.+€€€(›DESCRIPTIVES VARIABLES=G1CrCulComp G1SubInterest G1SocGather G1Total G2CrCulComp G2SubInterest G2SocGather G2Total /STATISTICS=MEAN STDDEV MIN MAX . +€€.€ €üŠńŇMb ? 0:00:00.03+€€.€ €üŠńŇMb? 0:00:00.02NotesDescriptives_Notes˙˙PMPivotItemTree˙˙AbstractTreeBranch˙˙PMModelItemInfo t€€(ContentsS€U€t€€(Output CreatedS€U€t€€(CommentsS€U€ t€€(InputS€U€€€(Active DatasetS€U€t€€(FilterS€U€t€€(WeightS€U€t€€( Split FileS€U€t€€(N of Rows in Working Data FileS€U€t€€(Missing Value HandlingS€U€ t€€(Definition of MissingS€U€t€€( Cases UsedS€U€ t€€(Weight HandlingS€U€ t€€(SyntaxS€U€t€€( ResourcesS€U€ t€€(Processor TimeS€U€ t€€( Elapsed Time Y]eimqu}…‰‘•  á˙˙PVViewDimensionR iTcKKK}‡\rKoc‡€€(Notes€€(€€(˙˙ PTTableLook6˙˙PVSeparatorStyleŁ€˙˙ PVCellStyle˙˙˙˙˙ PVTextStyleČx xó˙˙˙ź"ArialŚ€˙˙˙¨€Čx ó˙˙˙"ArialŚ€˙˙˙¨€Čx ó˙˙˙"ArialŚ€˙˙˙¨€Čx ó˙˙˙"ArialŚ€˙˙˙¨€Čx ó˙˙˙"ArialŚ€˙˙˙¨€Čx ó˙˙˙"ArialŚ€˙˙˙¨€Čx ó˙˙˙"ArialŚ€˙˙˙¨€Čhh((ó˙˙˙"Arial(cont.)$H$x˙˙PVPrintManager"˙˙NavTextýţ˙˙łěţ˙˙€€(Active Dataset€ť Descriptivesó˙˙˙"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 } ˙˙NavPivotĘţ˙˙,Ţý˙˙€€(Descriptive Statistics€ Ŕ Descriptives!€dddd#€%€'€)€ )€+€€.€(€ŔS@79+€€.€(€2@18+€€.€(€9@25+€€.€(€7@23.00+€€.€(€ůďĎ1.4@2.025)€+€€.€(€ŔS@79+€€.€(€(@12+€€.€(€4@20+€€.€(€¨tdĎ0@16.81+€€.€(€unƸÓL@2.288)€+€€.€(€ŔS@79+€€.€(€@4+€€.€(€4@20+€€.€(€”ŽěˆJ'@11.65+€€.€(€•[ţŸ @3.453)€+€€.€(€ŔS@79+€€.€(€€C@39+€€.€(€@P@65+€€.€(€tdĎ@TşI@51.46+€€.€(€ŻÓF‚Ű–@5.647)€+€€.€(€€P@66+€€.€(€,@14+€€.€(€9@25+€€.€(€ |đÁ4@20.12+€€.€(€XŽŻ´ťÝ@2.858)€+€€.€(€€P@66+€€.€(€@7+€€.€(€4@20+€€.€(€>řŕƒ>-@14.62+€€.€(€9ł 7@3.027)€+€€.€(€€P@66+€€.€(€@4+€€.€(€3@19+€€.€(€>řŕƒ)@12.76+€€.€(€ţžĽ1A´ @3.713)€+€€.€(€€P@66+€€.€(€>@30+€€.€(€€N@61+€€.€(€ŔG@47.50+€€.€(€#RCQ^e@7.349)€+€€.€(€0Descriptive Statistics(Descriptives_Table_DescriptiveStatisticsQ€S€U€t€€( StatisticsS€U€t€€(NS€U€t€€(MinimumS€U€ t€€(MaximumS€U€ t€€(MeanS€U€t€€(Std. DeviationRVZ^bQ€S€U€t€€( Variables S€U€˙˙˙˙€€( G1CrCulCompS€U€˙˙˙˙€€( G1SubInterestS€U€˙˙˙˙€€( G1SocGatherS€U€˙˙˙˙€€(G1TotalS€U€˙˙˙˙€€( G2CrCulCompS€U€˙˙˙˙€€( G2SubInterestS€U€˙˙˙˙€€( G2SocGatherS€U€˙˙˙˙€€(G2TotalS€U€t€€(Valid N (listwise) kosw{ƒ‡‹ K™€MKKKKaa™€f he`Khe`Kss€€(Descriptive Statistics€€(€€(Ą€6ــڀ˙˙˙¨€Čx xó˙˙˙ź"ArialŚ€˙˙˙¨€Čx ó˙˙˙"ArialŚ€˙˙˙¨€Čx ó˙˙˙"ArialŚ€˙˙˙¨€Čx ó˙˙˙"ArialŚ€˙˙˙¨€Čx ó˙˙˙"ArialŚ€˙˙˙¨€Čx ó˙˙˙"ArialŚ€˙˙˙¨€Čx ó˙˙˙"ArialŚ€˙˙˙¨€Čhh((ó˙˙˙"Arial(cont.)$H$x¸€Ä˙˙ NavOleItemOlePres000˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙ţ˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙˙NANIĐ4\˙˙PTPivotControllerědddd˙˙ PVPivotView˙˙ PMPivotModel˙˙NDimensional__DspCell˙˙IndexedCollection  €˙˙DspCell˙˙ DspSimpleText˙˙ DspNumber(€ a@137 €€€(€0 €€€(€9@25 €€€(€_ŢGІ*@13.26 €€€(€Wc˛W'@11.508 € €€€(€ a@137 €€€(€0 €€€(€4@20 €€€(€<'ÓW c#@9.69 €€€(€ŰÍJT!@8.514 € €€€(€ a@137 €€€(€0 €€€(€4@20 €€€(€ăHŃÜ@6.72 €€€(€“qšř˝[@6.340 € €€€(€ a@137 €€€(€0 €€€(€@P@65 €€€(€՞“éŤ=@29.67 €€€(€ž.~ß9@25.873 € €€€(€ b@145 €€€(€0 €€€(€9@25 €€€(€k%ť6Q"@9.16 €€€(€ŕ›.ky$@10.237 € €€€(€ b@145 €€€(€0 €€€(€4@20 €€€(€Wîi„ĺž@6.66 €€€(€E0|h(V@7.584 € €€€(€ b@145 €€€(€0 €€€(€3@19 €€€(€4¤óC:@5.81 €€€(€Č Š9b@6.846 € €€€(€ b@145 €€€(€0 €€€(€€N@61 €€€(€Xîi„ĺž5@21.62 €€€(€ëHmI“>8@24.244 € €€€(€ a@137Descriptive Statistics(Descriptives_Table_DescriptiveStatistics˙˙PMPivotItemTree˙˙AbstractTreeBranch˙˙PMModelItemInfot€˙˙ DspString( Statistics”€–€t€™€(N”€–€t€™€(Minimum”€–€ t€™€(Maximum”€–€ t€™€(Mean”€–€t€™€(Std. Deviation›ŸŁ§Ť’€”€–€t€™€( Variables ”€–€˙˙˙˙€™€( G1CrCulComp”€–€˙˙˙˙€™€( G1SubInterest”€–€˙˙˙˙€™€( G1SocGather”€–€˙˙˙˙€™€(G1Total”€–€˙˙˙˙€™€( G2CrCulComp”€–€˙˙˙˙€™€( G2SubInterest”€–€˙˙˙˙€™€( G2SocGather”€–€˙˙˙˙€™€(G2Total”€–€t€™€(Valid N (listwise) ´¸źŔÄČĚĐÔ K˙˙PVViewDimension“KKKKaaŘ€Ż he`Khe`Kss€™€(Descriptive Statistics€™€(€™€(˙˙ PTTableLook6˙˙PVSeparatorStyleă€˙˙ PVCellStyle˙˙˙˙˙ PVTextStyleČx xó˙˙˙ź"Arialć€˙˙˙č€Čx ó˙˙˙"Arialć€˙˙˙č€Čx ó˙˙˙"Arialć€˙˙˙č€Čx ó˙˙˙"Arialć€˙˙˙č€Čx ó˙˙˙"Arialć€˙˙˙č€Čx ó˙˙˙"Arialć€˙˙˙č€Čx ó˙˙˙"Arialć€˙˙˙č€Čhh((ó˙˙˙"Arial(cont.)$H$x˙˙PVPrintManager˙˙ PTPivotState€2€(€ŔG@47.50/€€2€(€#RCQ^e@7.349-€/€€2€(€0Descriptive Statistics(Descriptives_Table_DescriptiveStatisticsU€W€Y€t€€( StatisticsW€Y€t€€(NW€Y€t€€(MinimumW€Y€ t€€(MaximumW€Y€ t€€(MeanW€Y€t€€(Std. DeviationX\`dhU€W€Y€t€€( Variables W€Y€˙˙˙˙€€( G1CrCulCompW€Y€˙˙˙˙€€( G1SubInterestW€Y€˙˙˙˙€€( G1SocGatherW€Y€˙˙˙˙€€(G1TotalW€Y€˙˙˙˙€€( G2CrCulCompW€Y€˙˙˙˙€€( G2SubInterestW€Y€˙˙˙˙€€( G2SocGatherW€Y€˙˙˙˙€€(G2TotalW€Y€t€€(Valid N (listwise) quy}…‰‘ K€SKKKKaa€l he`Khe`Kss€€(Descriptive Statistics€€(€€(Ľ€6§€§€Ş€˙˙˙Ź€Čx xó˙˙˙ź"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čhh((ó˙˙˙"Arial(cont.)$H$xź€Ę€˝ý˙˙łYý˙˙€€(Log€ą "Courier Newr NewP5{\rtf1\ansi\deff0{\fonttbl{\f0\fswiss\fprq2\fcharset0 Courier New;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\cf1\lang1033\f0\fs20 GLM\par G1CrCulComp @2GCrCulComp\par /WSFACTOR = time 2 Polynomial\par /METHOD = SSTYPE(3)\par /CRITERIA = ALPHA(.05)\par /WSDESIGN = time .\par } €€€(General Linear Model€ľGLM€7ý˙˙ ý˙˙€€(Title€šGLMí˙˙˙ź"ArialalPŞ{\rtf1\ansi\deff0{\fonttbl{\f0\fswiss\fprq2\fcharset0 Arial;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\cf1\lang1033\b\f0\fs28 General Linear Model\par } €^ţ˙˙€€(Notes€˝GLM%€dddd'€)€+€-€ /€€2€€ÓMúÎ B22-MAR-2008 09:39:43/€€€( /€€€(DataSet1/€€€(/€€€(/€€€(/€€2€(€ b@145/€€€(3User-defined missing values are treated as missing./€€€(QStatistics are based on all cases with valid data for all variables in the model./€€€(ƒGLM G1CrCulComp @2GCrCulComp /WSFACTOR = time 2 Polynomial /METHOD = SSTYPE(3) /CRITERIA = ALPHA(.05) /WSDESIGN = time . /€€2€ €X9´ČvžŸ? 0:00:00.03/€€2€ €œÄ °rh‘? 0:00:00.02Notes GLM_NotesU€W€Y€Řt€€(ContentsW€Y€t€€(Output CreatedW€Y€t€€(CommentsW€Y€ t€€(InputW€Y€€€(Active DatasetW€Y€t€€(FilterW€Y€t€€(WeightW€Y€t€€( Split FileW€Y€t€€(N of Rows in Working Data FileW€Y€t€€(Missing Value HandlingW€Y€ćt€€(Definition of MissingW€Y€Őt€€( Cases UsedW€Y€ t€€(Weight HandlingW€Y€ t€€(SyntaxW€Y€t€€( ResourcesW€Y€ t€€(Processor TimeW€Y€ t€€( Elapsed Time ďóű˙ '+  ᝀę iTcKKK}‡\rKoc‡€€(Notes€€(€€(Ľ€6§€§€Ş€˙˙˙Ź€Čx xó˙˙˙ź"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čhh((ó˙˙˙"Arial(cont.)$H$xź€Áž€ţü˙˙łíü˙˙€€(Active Dataset€JGLMó˙˙˙"Courier Newr NewPĽ{\rtf1\ansi\deff0{\fonttbl{\f0\fswiss\fprq2\fcharset0 Courier New;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\cf1\lang1033\f0\fs20 [DataSet1] \par } ÀËü˙˙Í!ü˙˙€€(Within-Subjects Factors€ NGLM%€dddd'€)€+€-€-€-€/€€€( G1CrCulComp-€/€€€( @2GCrCulCompWithin Subjects FactorsGLM_Table_WithinSubjectsFactorsU€W€Y€ęt€€(DepVarW€Y€çt€€(Dependent VariableeU€W€Y€˙˙˙˙€€(timeW€Y€˙˙˙˙€2€(€đ?1W€Y€˙˙˙˙€2€(€@2nrU€W€Y€t€€(MeasureW€Y€t€€( MEASURE_1{K€`]]€iKK2€€v^^€€(Within-Subjects Factors€€(€€(Ľ€6§€§€Ş€˙˙˙Ź€Čx xó˙˙˙ź"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čhh((ó˙˙˙"Arial(cont.)$H$xź€RÀ˙ű˙˙j&ű˙˙€€(Multivariate Tests€ œGLM%€dddd'€)€+€-€-€-€/€€2€(€7ŽĎp×?.366/€€2€(€ä÷(˜˙Gä?.634/€€2€(€ ףp}â?.578/€€2€(€ ףp}â?.578-€-€/€€-€2€(€kÂő(\3@19.068/€€-€2€(€kÂő(\3@19.068/€€-€2€(€kÂő(\3@19.068/€€-€2€(€kÂő(\3@19.068-€-€/€€2€((€đ?1.000/€€2€((€đ?1.000/€€2€((€đ?1.000/€€2€((€đ?1.000-€-€/€€2€((€€@@33.000/€€2€((€€@@33.000/€€2€((€€@@33.000/€€2€((€€@@33.000-€-€/€€2€(€Ĺݕ™JĐ?.000/€€2€(€Ĺݕ™JĐ?.000/€€2€(€Ĺݕ™JĐ?.000/€€2€(€Ĺݕ™JĐ?.000Default Multivariate Tests"GLM_Table_DefaultMultivariateTestsU€W€Y€2t€€(TestW€Y€t€€(Pillai's TraceW€Y€Ct€€( Wilks' LambdaW€Y€t€€(Hotelling's TraceW€Y€$t€€(Roy's Largest RootôřüU€W€Y€ôt€€(EffectW€Y€Gt€€(time U€W€Y€,t€€( StatisticsW€Y€>t€€(ValueW€Y€ýt€€(FW€Y€t€€( Hypothesis dfW€Y€řt€€(Error dfW€Y€%t€€(Sig."˙˙ DspAnnotation˙˙DspTextComponentHandle€(0Design: Intercept Within Subjects Design: time[%1:€-€€(Multivariate Tests&ƒ(ƒ€(Exact statistic!śşžÂK€ď\gs€K2€€ KKaKKa+€€(€€(Ľ€6§€§€Ş€˙˙˙Ź€Čx xó˙˙˙ź"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čhh((ó˙˙˙"Arial(cont.)$H$xꀠÀű˙˙ëů˙˙€€(Mauchly's Test of Sphericity€ LGLM%€dddd'€)€+€-€-€-€/€€2€(€đ?1.000-€-€/€€2€(€.000-€-€/€€2€(€0-€-€/€€2€(€˙˙˙˙˙˙ď˙.-€-€/€€2€((€đ?1.000-€-€/€€2€((€đ?1.000-€-€/€€2€((€đ?1.000 Mauchly TestGLM_Table_MauchlyTestU€W€Y€t€€(MeasureW€Y€t€€( MEASURE_1}U€W€Y€Et€€(Within Subjects EffectW€Y€Gt€€(time†U€W€Y€,t€€( StatisticsW€Y€t€€( Mauchly's WW€Y€Ět€€(Approx. Chi-SquareW€Y€ît€€(dfW€Y€%t€€(Sig.W€Y€őt€-€€(EpsilonW€Y€t€€(Greenhouse-GeisserW€Y€t€€( Huynh-FeldtW€Y€ t€€( Lower-bound“—›¤¨Ź&ƒ(ƒ€(0Design: Intercept Within Subjects Design: timeQ€-€€(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.@ĄŞ€Ź€Ȁ€€€€˙K€x^^€KŽ€€ŠY[KKWX__ł€š€(˜Tests the null hypothesis that the error covariance matrix of the orthonormalized transformed dependent variables is proportional to an identity matrix.€€(Ľ€6§€§€Ş€˙˙˙Ź€Čx xó˙˙˙ź"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čhh((ó˙˙˙"Arial(cont.)$H$xź€PÀÉů˙˙ĽÍř˙˙€€( Tests of Within-Subjects Effects€ ÖGLM%€dddd'€)€+€-€-€-€-€/€€2€((€Áđđđđ0[@108.765/€€2€((€Áđđđđ0[@108.765/€€2€((€Áđđđđ0[@108.765/€€2€((€Áđđđđ0[@108.765-€-€/€€2€((€‹‡‡‡‡‡g@188.235/€€2€((€‹‡‡‡‡‡g@188.235/€€2€((€‹‡‡‡‡‡g@188.235/€€2€((€‹‡‡‡‡‡g@188.235-€-€-€/€€2€(€đ?1/€€2€((€đ?1.000/€€2€((€đ?1.000/€€2€((€đ?1.000-€-€/€€2€(€€@@33/€€2€((€€@@33.000/€€2€((€€@@33.000/€€2€((€€@@33.000-€-€-€/€€2€((€Áđđđđ0[@108.765/€€2€((€Áđđđđ0[@108.765/€€2€((€Áđđđđ0[@108.765/€€2€((€Áđđđđ0[@108.765-€-€/€€2€((€Ô.‹˙Đ@5.704/€€2€((€Ô.‹˙Đ@5.704/€€2€((€Ô.‹˙Đ@5.704/€€2€((€Ô.‹˙Đ@5.704-€-€-€/€€2€(€kÂő(\3@19.068/€€2€(€kÂő(\3@19.068/€€2€(€kÂő(\3@19.068/€€2€(€kÂő(\3@19.068-€-€-€/€€2€(€Ĺݕ™JĐ?.000/€€2€(€Ĺݕ™JĐ?.000/€€2€(€Ĺݕ™JĐ?.000/€€2€(€Ĺݕ™JĐ?.000 Tests of Within Subjects Effects&GLM_Table_TestsofWithinSubjectsEffectsU€W€Y€öt€€(Epsilon CorrectionsW€Y€+t€€(Sphericity AssumedW€Y€t€€(Greenhouse-GeisserW€Y€t€€( Huynh-FeldtW€Y€ t€€( Lower-boundY]aeU€W€Y€t€€(MeasureW€Y€t€€( MEASURE_1nU€W€Y€(t€€(SourceW€Y€Gt€€(timeW€Y€€€( Error(time)w{U€W€Y€,t€€( StatisticsW€Y€;t€€(Type III Sum of SquaresW€Y€ît€€(dfW€Y€t€€( Mean SquareW€Y€ýt€€(FW€Y€%t€€(Sig.„ˆŒ”K€T…X_€i^^€rKPP€\K_KK_€€( Tests of Within-Subjects Effects€€(€€(Ľ€6§€§€Ş€˙˙˙Ź€Čx xó˙˙˙ź"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čhh((ó˙˙˙"Arial(cont.)$H$xź€ÚÀŤř˙˙O!ř˙˙€€("Tests of Within-Subjects Contrasts€ śGLM%€dddd'€)€+€-€-€-€-€/€€2€((€Áđđđđ0[@108.765-€-€/€€2€((€‹‡‡‡‡‡g@188.235-€-€-€/€€2€(€đ?1-€-€/€€2€(€€@@33-€-€-€/€€2€((€Áđđđđ0[@108.765-€-€/€€2€((€Ô.‹˙Đ@5.704-€-€-€/€€2€(€kÂő(\3@19.068-€-€-€/€€2€(€Ĺݕ™JĐ?.000"Tests of Within Subjects Contrasts(GLM_Table_TestsofWithinSubjectsContrastsU€W€Y€˙˙˙˙€€(timeW€Y€Űt€€(LinearńU€W€Y€t€€(MeasureW€Y€t€€( MEASURE_1úU€W€Y€(t€€(SourceW€Y€Gt€€(timeW€Y€€€( Error(time)U€W€Y€,t€€( StatisticsW€Y€;t€€(Type III Sum of SquaresW€Y€ît€€(dfW€Y€t€€( Mean SquareW€Y€ýt€€(FW€Y€%t€€(Sig. K€ěK7€ő^^€ţKPP€ \K_KK_€€("Tests of Within-Subjects Contrasts€€(€€(Ľ€6§€§€Ş€˙˙˙Ź€Čx xó˙˙˙ź"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čhh((ó˙˙˙"Arial(cont.)$H$xź€şÀ˙÷˙˙ b÷˙˙€€(!Tests of Between-Subjects Effects€ BGLM%€dddd'€)€+€-€-€-€-€/€€2€((€†‡‡‡Ç3ß@ 31951.118-€-€/€€2€((€A<<<<ül@231.882-€-€-€/€€2€(€đ?1-€-€/€€2€(€€@@33-€-€-€/€€2€((€†‡‡‡Ç3ß@ 31951.118-€-€/€€2€((€ §2a@7.027-€-€-€/€€2€(€Uëd­Ăą@4547.077-€-€-€/€€2€(€‹ecXj8.000&Test of Between Subjects Fixed Effects+GLM_Table_TestofBetweenSubjectsFixedEffectsU€W€Y€5t€€(Transformed VariableW€Y€€€(Average}U€W€Y€t€€(MeasureW€Y€t€€( MEASURE_1†U€W€Y€(t€€(SourceW€Y€ t€€( InterceptW€Y€÷t€€(Error“U€W€Y€,t€€( StatisticsW€Y€;t€€(Type III Sum of SquaresW€Y€ît€€(dfW€Y€t€€( Mean SquareW€Y€ýt€€(FW€Y€%t€€(Sig.œ ¤¨ŹK€xK€€^^€ŠKKD€—\K_KK_€€(!Tests of Between-Subjects Effects€€(€€(Ľ€6§€§€Ş€˙˙˙Ź€Čx xó˙˙˙ź"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čhh((ó˙˙˙"Arial(cont.)$H$xź€F€@÷˙˙łÜö˙˙€€(Log€Î "Courier Newr NewP9{\rtf1\ansi\deff0{\fonttbl{\f0\fswiss\fprq2\fcharset0 Courier New;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\cf1\lang1033\f0\fs20 GLM\par G1SubInterest @2GSubInterest\par /WSFACTOR = time 2 Polynomial\par /METHOD = SSTYPE(3)\par /CRITERIA = ALPHA(.05)\par /WSDESIGN = time .\par } €€€(General Linear Model€ŇGLM€şö˙˙Łö˙˙€€(Title€ÖGLMí˙˙˙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 } €^ţ˙˙€€(Notes€ÚGLM%€dddd'€)€+€-€ /€€2€€ÓMnÎ B22-MAR-2008 09:40:29/€€€( /€€€(DataSet1/€€€(/€€€(/€€€(/€€2€(€ b@145/€€€(3User-defined missing values are treated as missing./€€€(QStatistics are based on all cases with valid data for all variables in the model./€€€(‡GLM G1SubInterest @2GSubInterest /WSFACTOR = time 2 Polynomial /METHOD = SSTYPE(3) /CRITERIA = ALPHA(.05) /WSDESIGN = time . /€€2€ € 0:00:00.00/€€2€ € 0:00:00.00Notes GLM_NotesU€W€Y€Řt€€(ContentsW€Y€t€€(Output CreatedW€Y€t€€(CommentsW€Y€ t€€(InputW€Y€€€(Active DatasetW€Y€t€€(FilterW€Y€t€€(WeightW€Y€t€€( Split FileW€Y€t€€(N of Rows in Working Data FileW€Y€t€€(Missing Value HandlingW€Y€ćt€€(Definition of MissingW€Y€Őt€€( Cases UsedW€Y€ t€€(Weight HandlingW€Y€ t€€(SyntaxW€Y€t€€( ResourcesW€Y€ t€€(Processor TimeW€Y€ t€€( Elapsed Time   $(048<DH  ᝀ iTcKKK}‡\rKoc‡€€(Notes€€(€€(Ľ€6§€§€Ş€˙˙˙Ź€Čx xó˙˙˙ź"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čhh((ó˙˙˙"Arial(cont.)$H$xź€Ţž€ö˙˙łpö˙˙€€(Active Dataset€gGLMó˙˙˙"Courier Newr NewPĽ{\rtf1\ansi\deff0{\fonttbl{\f0\fswiss\fprq2\fcharset0 Courier New;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\cf1\lang1033\f0\fs20 [DataSet1] \par } ÀNö˙˙ͤő˙˙€€(Within-Subjects Factors€ kGLM%€dddd'€)€+€-€-€-€/€€€( G1SubInterest-€/€€€(@2GSubInterestWithin Subjects FactorsGLM_Table_WithinSubjectsFactorsU€W€Y€ęt€€(DepVarW€Y€çt€€(Dependent Variable‚U€W€Y€˙˙˙˙€€(timeW€Y€˙˙˙˙€2€(€đ?1W€Y€˙˙˙˙€2€(€@2‹U€W€Y€t€€(MeasureW€Y€t€€( MEASURE_1˜K€}]]€†KK2€€“^^€€(Within-Subjects Factors€€(€€(Ľ€6§€§€Ş€˙˙˙Ź€Čx xó˙˙˙ź"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čhh((ó˙˙˙"Arial(cont.)$H$xź€oÀ‚ő˙˙jŠô˙˙€€(Multivariate Tests€ šGLM%€dddd'€)€+€-€-€-€/€€2€(€łyS}čÔ?.327/€€2€(€&CV?Á‹ĺ?.673/€€2€(€°ő„ ß?.485/€€2€(€°ő„ ß?.485-€-€/€€-€2€(€ßRVŽř0@16.012/€€-€2€(€ßRVŽř0@16.012/€€-€2€(€ßRVŽř0@16.012/€€-€2€(€ßRVŽř0@16.012-€-€/€€2€((€đ?1.000/€€2€((€đ?1.000/€€2€((€đ?1.000/€€2€((€đ?1.000-€-€/€€2€((€€@@33.000/€€2€((€€@@33.000/€€2€((€€@@33.000/€€2€((€€@@33.000-€-€/€€2€(€ ˛2œő5?.000/€€2€(€ ˛2œő5?.000/€€2€(€ ˛2œő5?.000/€€2€(€ ˛2œő5?.000Default Multivariate Tests"GLM_Table_DefaultMultivariateTestsU€W€Y€2t€€(TestW€Y€t€€(Pillai's TraceW€Y€Ct€€( Wilks' LambdaW€Y€t€€(Hotelling's TraceW€Y€$t€€(Roy's Largest RootU€W€Y€ôt€€(EffectW€Y€Gt€€(time&U€W€Y€,t€€( StatisticsW€Y€>t€€(ValueW€Y€ýt€€(FW€Y€t€€( Hypothesis dfW€Y€řt€€(Error dfW€Y€%t€€(Sig./37;?&ƒ(ƒ€(0Design: Intercept Within Subjects Design: time1€-€€(Multivariate Tests&ƒ(ƒ€(Exact statisticÓ×ŰßK€ \gs€!K2€€*KKaKKaF€€(€€(Ľ€6§€§€Ş€˙˙˙Ź€Čx xó˙˙˙ź"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čhh((ó˙˙˙"Arial(cont.)$H$xź€˝À‡ô˙˙nó˙˙€€(Mauchly's Test of Sphericity€ gGLM%€dddd'€)€+€-€-€-€/€€2€(€đ?1.000-€-€/€€2€(€.000-€-€/€€2€(€0-€-€/€€2€(€˙˙˙˙˙˙ď˙.-€-€/€€2€((€đ?1.000-€-€/€€2€((€đ?1.000-€-€/€€2€((€đ?1.000 Mauchly TestGLM_Table_MauchlyTestU€W€Y€t€€(MeasureW€Y€t€€( MEASURE_1˜U€W€Y€Et€€(Within Subjects EffectW€Y€Gt€€(timeĄU€W€Y€,t€€( StatisticsW€Y€t€€( Mauchly's WW€Y€Ět€€(Approx. Chi-SquareW€Y€ît€€(dfW€Y€%t€€(Sig.W€Y€őt€-€€(EpsilonW€Y€t€€(Greenhouse-GeisserW€Y€t€€( Huynh-FeldtW€Y€ t€€( Lower-boundŞŽ˛śżĂÇ&ƒ(ƒ€(0Design: Intercept Within Subjects Design: time€-€€(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.@źŞ€Ź€Ȁ€€€€˙K€“^^€œKŽ€€ĽY[KKWX__΀Ԁ(˜Tests the null hypothesis that the error covariance matrix of the orthonormalized transformed dependent variables is proportional to an identity matrix.€€(Ľ€6§€§€Ş€˙˙˙Ź€Čx xó˙˙˙ź"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čhh((ó˙˙˙"Arial(cont.)$H$xź€kÀLó˙˙ĽPň˙˙€€( Tests of Within-Subjects Effects€ ńGLM%€dddd'€)€+€-€-€-€-€/€€2€((€A<<<<\K@54.721/€€2€((€A<<<<\K@54.721/€€2€((€A<<<<\K@54.721/€€2€((€A<<<<\K@54.721-€-€/€€2€((€ŕáááá1\@112.779/€€2€((€ŕáááá1\@112.779/€€2€((€ŕáááá1\@112.779/€€2€((€ŕáááá1\@112.779-€-€-€/€€2€(€đ?1/€€2€((€đ?1.000/€€2€((€đ?1.000/€€2€((€đ?1.000-€-€/€€2€(€€@@33/€€2€((€€@@33.000/€€2€((€€@@33.000/€€2€((€€@@33.000-€-€-€/€€2€((€A<<<<\K@54.721/€€2€((€A<<<<\K@54.721/€€2€((€A<<<<\K@54.721/€€2€((€A<<<<\K@54.721-€-€/€€2€((€Uúœ(W @3.418/€€2€((€Uúœ(W @3.418/€€2€((€Uúœ(W @3.418/€€2€((€Uúœ(W @3.418-€-€-€/€€2€(€ŢRVŽř0@16.012/€€2€(€ŢRVŽř0@16.012/€€2€(€ŢRVŽř0@16.012/€€2€(€ŢRVŽř0@16.012-€-€-€/€€2€(€˛2œő5?.000/€€2€(€˛2œő5?.000/€€2€(€˛2œő5?.000/€€2€(€˛2œő5?.000 Tests of Within Subjects Effects&GLM_Table_TestsofWithinSubjectsEffectsU€W€Y€öt€€(Epsilon CorrectionsW€Y€+t€€(Sphericity AssumedW€Y€t€€(Greenhouse-GeisserW€Y€t€€( Huynh-FeldtW€Y€ t€€( Lower-boundtx|€U€W€Y€t€€(MeasureW€Y€t€€( MEASURE_1‰U€W€Y€(t€€(SourceW€Y€Gt€€(timeW€Y€€€( Error(time)’–U€W€Y€,t€€( StatisticsW€Y€;t€€(Type III Sum of SquaresW€Y€ît€€(dfW€Y€t€€( Mean SquareW€Y€ýt€€(FW€Y€%t€€(Sig.ŸŁ§ŤŻK€o…X_€„^^€KPP€š\K_KK_€€( Tests of Within-Subjects Effects€€(€€(Ľ€6§€§€Ş€˙˙˙Ź€Čx xó˙˙˙ź"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čhh((ó˙˙˙"Arial(cont.)$H$xź€őÀ.ň˙˙O¤ń˙˙€€("Tests of Within-Subjects Contrasts€ ŃGLM%€dddd'€)€+€-€-€-€-€/€€2€((€A<<<<\K@54.721-€-€/€€2€((€ŕáááá1\@112.779-€-€-€/€€2€(€đ?1-€-€/€€2€(€€@@33-€-€-€/€€2€((€A<<<<\K@54.721-€-€/€€2€((€Uúœ(W @3.418-€-€-€/€€2€(€ŢRVŽř0@16.012-€-€-€/€€2€(€˛2œő5?.000"Tests of Within Subjects Contrasts(GLM_Table_TestsofWithinSubjectsContrastsU€W€Y€˙˙˙˙€€(timeW€Y€Űt€€(Linear U€W€Y€t€€(MeasureW€Y€t€€( MEASURE_1 U€W€Y€(t€€(SourceW€Y€Gt€€(timeW€Y€€€( Error(time) " U€W€Y€,t€€( StatisticsW€Y€;t€€(Type III Sum of SquaresW€Y€ît€€(dfW€Y€t€€( Mean SquareW€Y€ýt€€(FW€Y€%t€€(Sig.+ / 3 7 ; K€ K7€ ^^€ KPP€& \K_KK_€€("Tests of Within-Subjects Contrasts€€(€€(Ľ€6§€§€Ş€˙˙˙Ź€Čx xó˙˙˙ź"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čhh((ó˙˙˙"Arial(cont.)$H$xź€ŐÀ‚ń˙˙ ĺđ˙˙€€(!Tests of Between-Subjects Effects€ ] GLM%€dddd'€)€+€-€-€-€-€/€€2€((€xxxxˆ Đ@ 16430.132-€-€/€€2€((€âááááUr@293.368-€-€-€/€€2€(€đ?1-€-€/€€2€(€€@@33-€-€-€/€€2€((€xxxxˆ Đ@ 16430.132-€-€/€€2€((€HÓź¤Ç!@8.890-€-€-€/€€2€(€.WŽÜąŕœ@1848.174-€-€-€/€€2€(€{ńF’_ž9.000&Test of Between Subjects Fixed Effects+GLM_Table_TestofBetweenSubjectsFixedEffectsU€W€Y€5t€€(Transformed VariableW€Y€€€(Average˜ U€W€Y€t€€(MeasureW€Y€t€€( MEASURE_1Ą U€W€Y€(t€€(SourceW€Y€ t€€( InterceptW€Y€÷t€€(ErrorŞ Ž U€W€Y€,t€€( StatisticsW€Y€;t€€(Type III Sum of SquaresW€Y€ît€€(dfW€Y€t€€( Mean SquareW€Y€ýt€€(FW€Y€%t€€(Sig.ˇ ť ż Ă Ç K€“ K€€œ ^^€Ľ KKD€˛ \K_KK_€€(!Tests of Between-Subjects Effects€€(€€(Ľ€6§€§€Ş€˙˙˙Ź€Čx xó˙˙˙ź"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čhh((ó˙˙˙"Arial(cont.)$H$xź€a €Ăđ˙˙ł_đ˙˙€€(Log€é  "Courier Newr NewP5{\rtf1\ansi\deff0{\fonttbl{\f0\fswiss\fprq2\fcharset0 Courier New;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\cf1\lang1033\f0\fs20 GLM\par G1SocGather @2GSocGather\par /WSFACTOR = time 2 Polynomial\par /METHOD = SSTYPE(3)\par /CRITERIA = ALPHA(.05)\par /WSDESIGN = time .\par } €€€(General Linear Model€í GLM€=đ˙˙&đ˙˙€€(Title€ń GLMí˙˙˙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 } €^ţ˙˙€€(Notes€ő GLM%€dddd'€)€+€-€ /€€2€€އÎ B22-MAR-2008 09:41:04/€€€( /€€€(DataSet1/€€€(/€€€(/€€€(/€€2€(€ b@145/€€€(3User-defined missing values are treated as missing./€€€(QStatistics are based on all cases with valid data for all variables in the model./€€€(ƒGLM G1SocGather @2GSocGather /WSFACTOR = time 2 Polynomial /METHOD = SSTYPE(3) /CRITERIA = ALPHA(.05) /WSDESIGN = time . /€€2€ €X9´ČvžŸ? 0:00:00.03/€€2€ €üŠńŇMb? 0:00:00.02Notes GLM_NotesU€W€Y€Řt€€(ContentsW€Y€t€€(Output CreatedW€Y€t€€(CommentsW€Y€ t€€(InputW€Y€€€(Active DatasetW€Y€t€€(FilterW€Y€t€€(WeightW€Y€t€€( Split FileW€Y€t€€(N of Rows in Working Data FileW€Y€t€€(Missing Value HandlingW€Y€ćt€€(Definition of MissingW€Y€Őt€€( Cases UsedW€Y€ t€€(Weight HandlingW€Y€ t€€(SyntaxW€Y€t€€( ResourcesW€Y€ t€€(Processor TimeW€Y€ t€€( Elapsed Time ' + 3 7 ; ? C K O S W _ c  ᝀ" iTcKKK}‡\rKoc‡€€(Notes€€(€€(Ľ€6§€§€Ş€˙˙˙Ź€Čx xó˙˙˙ź"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čhh((ó˙˙˙"Arial(cont.)$H$xź€ů ž€đ˙˙łóď˙˙€€(Active Dataset€‚ GLMó˙˙˙"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 } ÀŃď˙˙Í'ď˙˙€€(Within-Subjects Factors€ † GLM%€dddd'€)€+€-€-€-€/€€€( G1SocGather-€/€€€( @2GSocGatherWithin Subjects FactorsGLM_Table_WithinSubjectsFactorsU€W€Y€ęt€€(DepVarW€Y€çt€€(Dependent Variable U€W€Y€˙˙˙˙€€(timeW€Y€˙˙˙˙€2€(€đ?1W€Y€˙˙˙˙€2€(€@2Ś Ş U€W€Y€t€€(MeasureW€Y€t€€( MEASURE_1ł K€˜ ]]€Ą KK2€€Ž ^^€€(Within-Subjects Factors€€(€€(Ľ€6§€§€Ş€˙˙˙Ź€Čx xó˙˙˙ź"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čhh((ó˙˙˙"Arial(cont.)$H$xź€Š Àď˙˙j,î˙˙€€(Multivariate Tests€ Ô GLM%€dddd'€)€+€-€-€-€/€€2€(€'iݕՐ?.016/€€2€(€ÇśQSyď?.984/€€2€(€˛:Ú@ž‘?.017/€€2€(€˛:Ú@ž‘?.017-€-€/€€-€2€(€ˆ á2‹Śá?.552/€€-€2€(€– á2‹Śá?.552/€€-€2€(€ˆ á2‹Śá?.552/€€-€2€(€ˆ á2‹Śá?.552-€-€/€€2€((€đ?1.000/€€2€((€đ?1.000/€€2€((€đ?1.000/€€2€((€đ?1.000-€-€/€€2€((€€@@33.000/€€2€((€€@@33.000/€€2€((€€@@33.000/€€2€((€€@@33.000-€-€/€€2€(€NŇŃ ™ Ý?.463/€€2€(€ZŇŃ ™ Ý?.463/€€2€(€NŇŃ ™ Ý?.463/€€2€(€NŇŃ ™ Ý?.463Default Multivariate Tests"GLM_Table_DefaultMultivariateTestsU€W€Y€2t€€(TestW€Y€t€€(Pillai's TraceW€Y€Ct€€( Wilks' LambdaW€Y€t€€(Hotelling's TraceW€Y€$t€€(Roy's Largest Root, 0 4 8 U€W€Y€ôt€€(EffectW€Y€Gt€€(timeA U€W€Y€,t€€( StatisticsW€Y€>t€€(ValueW€Y€ýt€€(FW€Y€t€€( Hypothesis dfW€Y€řt€€(Error dfW€Y€%t€€(Sig.J N R V Z &ƒ(ƒ€(0Design: Intercept Within Subjects Design: time €-€€(Multivariate Tests&ƒ(ƒ€(Exact statistic Witî ň ö ú K€' \gs€< K2€€E KKaKKaa €€(€€(Ľ€6§€§€Ş€˙˙˙Ź€Čx xó˙˙˙ź"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čhh((ó˙˙˙"Arial(cont.)$H$xź€Ř À î˙˙ńě˙˙€€(Mauchly's Test of Sphericity€ ‚ GLM%€dddd'€)€+€-€-€-€/€€2€(€đ?1.000-€-€/€€2€(€.000-€-€/€€2€(€0-€-€/€€2€(€˙˙˙˙˙˙ď˙.-€-€/€€2€((€đ?1.000-€-€/€€2€((€đ?1.000-€-€/€€2€((€đ?1.000 Mauchly TestGLM_Table_MauchlyTestU€W€Y€t€€(MeasureW€Y€t€€( MEASURE_1ł U€W€Y€Et€€(Within Subjects EffectW€Y€Gt€€(timeź U€W€Y€,t€€( StatisticsW€Y€t€€( Mauchly's WW€Y€Ět€€(Approx. Chi-SquareW€Y€ît€€(dfW€Y€%t€€(Sig.W€Y€őt€-€€(EpsilonW€Y€t€€(Greenhouse-GeisserW€Y€t€€( Huynh-FeldtW€Y€ t€€( Lower-boundĹ É Í Ń Ú Ţ â &ƒ(ƒ€(0Design: Intercept Within Subjects Design: time1€-€€(Mauchly's Test of Sphericity&ƒ(ƒ€(ĄMay be used to adjust the degrees of freedom for the averaged tests of significance. Corrected tests are displayed in the Tests of Within-Subjects Effects table.× Ş€Ź€Ȁ€€€€˙K€Ž ^^€ˇ KŽ€€Ŕ Y[KKWX__é €ď €(˜Tests the null hypothesis that the error covariance matrix of the orthonormalized transformed dependent variables is proportional to an identity matrix.€€(Ľ€6§€§€Ş€˙˙˙Ź€Čx xó˙˙˙ź"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čhh((ó˙˙˙"Arial(cont.)$H$xꀆ ÀĎě˙˙ĽÓë˙˙€€( Tests of Within-Subjects Effects€ GLM%€dddd'€)€+€-€-€-€-€/€€2€((€ @3.765/€€2€((€ @3.765/€€2€((€ @3.765/€€2€((€ @3.765-€-€/€€2€((€‹‡‡‡‡'l@225.235/€€2€((€‹‡‡‡‡'l@225.235/€€2€((€‹‡‡‡‡'l@225.235/€€2€((€‹‡‡‡‡'l@225.235-€-€-€/€€2€(€đ?1/€€2€((€đ?1.000/€€2€((€đ?1.000/€€2€((€đ?1.000-€-€/€€2€(€€@@33/€€2€((€€@@33.000/€€2€((€€@@33.000/€€2€((€€@@33.000-€-€-€/€€2€((€ @3.765/€€2€((€ @3.765/€€2€((€ @3.765/€€2€((€ @3.765-€-€/€€2€((€Pđ’M@6.825/€€2€((€Pđ’M@6.825/€€2€((€Pđ’M@6.825/€€2€((€Pđ’M@6.825-€-€-€/€€2€(€ˆ á2‹Śá?.552/€€2€(€ˆ á2‹Śá?.552/€€2€(€ˆ á2‹Śá?.552/€€2€(€ˆ á2‹Śá?.552-€-€-€/€€2€(€NŇŃ ™ Ý?.463/€€2€(€NŇŃ ™ Ý?.463/€€2€(€NŇŃ ™ Ý?.463/€€2€(€NŇŃ ™ Ý?.463 Tests of Within Subjects Effects&GLM_Table_TestsofWithinSubjectsEffectsU€W€Y€öt€€(Epsilon CorrectionsW€Y€+t€€(Sphericity AssumedW€Y€t€€(Greenhouse-GeisserW€Y€t€€( Huynh-FeldtW€Y€ t€€( Lower-bound “ — › U€W€Y€t€€(MeasureW€Y€t€€( MEASURE_1¤ U€W€Y€(t€€(SourceW€Y€Gt€€(timeW€Y€€€( Error(time)­ ą U€W€Y€,t€€( StatisticsW€Y€;t€€(Type III Sum of SquaresW€Y€ît€€(dfW€Y€t€€( Mean SquareW€Y€ýt€€(FW€Y€%t€€(Sig.ş ž Â Ć Ę K€Š …X_€Ÿ ^^€¨ KPP€ľ \K_KK_€€( Tests of Within-Subjects Effects€€(€€(Ľ€6§€§€Ş€˙˙˙Ź€Čx xó˙˙˙ź"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čhh((ó˙˙˙"Arial(cont.)$H$xź€ Àąë˙˙O'ë˙˙€€("Tests of Within-Subjects Contrasts€ ě GLM%€dddd'€)€+€-€-€-€-€/€€2€((€ @3.765-€-€/€€2€((€‹‡‡‡‡'l@225.235-€-€-€/€€2€(€đ?1-€-€/€€2€(€€@@33-€-€-€/€€2€((€ @3.765-€-€/€€2€((€Pđ’M@6.825-€-€-€/€€2€(€ˆ á2‹Śá?.552-€-€-€/€€2€(€NŇŃ ™ Ý?.463"Tests of Within Subjects Contrasts(GLM_Table_TestsofWithinSubjectsContrastsU€W€Y€˙˙˙˙€€(timeW€Y€Űt€€(Linear' U€W€Y€t€€(MeasureW€Y€t€€( MEASURE_10 U€W€Y€(t€€(SourceW€Y€Gt€€(timeW€Y€€€( Error(time)9 = U€W€Y€,t€€( StatisticsW€Y€;t€€(Type III Sum of SquaresW€Y€ît€€(dfW€Y€t€€( Mean SquareW€Y€ýt€€(FW€Y€%t€€(Sig.F J N R V K€" K7€+ ^^€4 KPP€A \K_KK_€€("Tests of Within-Subjects Contrasts€€(€€(Ľ€6§€§€Ş€˙˙˙Ź€Čx xó˙˙˙ź"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čhh((ó˙˙˙"Arial(cont.)$H$xź€đ Àë˙˙ hę˙˙€€(!Tests of Between-Subjects Effects€ x GLM%€dddd'€)€+€-€-€-€-€/€€2€((€ĂĂĂĂĂuÄ@ 10475.529-€-€/€€2€((€ÄĂĂĂĂ[‚@587.471-€-€-€/€€2€(€đ?1-€-€/€€2€(€€@@33-€-€-€/€€2€((€ĂĂĂĂĂuÄ@ 10475.529-€-€/€€2€((€ΞäűXÍ1@17.802-€-€-€/€€2€(€˛ô’‰c‚@588.442-€-€-€/€€2€(€œ@˘uj°c;.000&Test of Between Subjects Fixed Effects+GLM_Table_TestofBetweenSubjectsFixedEffectsU€W€Y€5t€€(Transformed VariableW€Y€€€(Averageł U€W€Y€t€€(MeasureW€Y€t€€( MEASURE_1ź U€W€Y€(t€€(SourceW€Y€ t€€( InterceptW€Y€÷t€€(ErrorĹ É U€W€Y€,t€€( StatisticsW€Y€;t€€(Type III Sum of SquaresW€Y€ît€€(dfW€Y€t€€( Mean SquareW€Y€ýt€€(FW€Y€%t€€(Sig.Ň Ö Ú Ţ â K€Ž K€€ˇ ^^€Ŕ KKD€Í \K_KK_€€(!Tests of Between-Subjects Effects€€(€€(Ľ€6§€§€Ş€˙˙˙Ź€Čx xó˙˙˙ź"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čhh((ó˙˙˙"Arial(cont.)$H$xź€| €Fę˙˙łâé˙˙€€(Log€ "Courier Newr NewP.{\rtf1\ansi\deff0{\fonttbl{\f0\fswiss\fprq2\fcharset0 Courier New;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\cf1\lang1033\f0\fs20 GLM\par G1Total @2GTotal2\par /WSFACTOR = time 2 Polynomial\par /METHOD = SSTYPE(3)\par /CRITERIA = ALPHA(.05)\par /WSDESIGN = time .\par } €€€(General Linear Model€GLM €^ţ˙˙€€(Notes€ GLM%€dddd'€)€+€-€ /€€2€€ÓM…Î B22-MAR-2008 09:41:36/€€€( /€€€(DataSet1/€€€(/€€€(/€€€(/€€2€(€ b@145/€€€(3User-defined missing values are treated as missing./€€€(QStatistics are based on all cases with valid data for all variables in the model./€€€(|GLM G1Total @2GTotal2 /WSFACTOR = time 2 Polynomial /METHOD = SSTYPE(3) /CRITERIA = ALPHA(.05) /WSDESIGN = time . /€€2€ €üŠńŇMb ? 0:00:00.03/€€2€ €œÄ °rh‘? 0:00:00.02Notes GLM_NotesU€W€Y€Řt€€(ContentsW€Y€t€€(Output CreatedW€Y€t€€(CommentsW€Y€ t€€(InputW€Y€€€(Active DatasetW€Y€t€€(FilterW€Y€t€€(WeightW€Y€t€€( Split FileW€Y€t€€(N of Rows in Working Data FileW€Y€t€€(Missing Value HandlingW€Y€ćt€€(Definition of MissingW€Y€Őt€€( Cases UsedW€Y€ t€€(Weight HandlingW€Y€ t€€(SyntaxW€Y€t€€( ResourcesW€Y€ t€€(Processor TimeW€Y€ t€€( Elapsed Time >BJNRVZbfjnvz  ᝀ9 iTcKKK}‡\rKoc‡€€(Notes€€(€€(Ľ€6§€§€Ş€˙˙˙Ź€Čx xó˙˙˙ź"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čhh((ó˙˙˙"Arial(cont.)$H$xź€ž€‡é˙˙łvé˙˙€€(Active Dataset€™GLMó˙˙˙"Courier Newr NewPĽ{\rtf1\ansi\deff0{\fonttbl{\f0\fswiss\fprq2\fcharset0 Courier New;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\cf1\lang1033\f0\fs20 [DataSet1] \par } ÀTé˙˙ÍĘč˙˙€€(Within-Subjects Factors€ GLM%€dddd'€)€+€-€-€-€/€€€(G1Total-€/€€€( @2GTotal2Within Subjects FactorsGLM_Table_WithinSubjectsFactorsU€W€Y€ęt€€(DepVarW€Y€çt€€(Dependent Variable´U€W€Y€˙˙˙˙€€(timeW€Y€˙˙˙˙€2€(€đ?1W€Y€˙˙˙˙€2€(€@2˝ÁU€W€Y€t€€(MeasureW€Y€t€€( MEASURE_1ĘK€Ż]]€¸KK2€€Ĺ^^€€(Within-Subjects Factors€€(€€(Ľ€6§€§€Ş€˙˙˙Ź€Čx xó˙˙˙ź"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čhh((ó˙˙˙"Arial(cont.)$H$xź€ĄÀ¨č˙˙jĎç˙˙€€(Multivariate Tests€ ëGLM%€dddd'€)€+€-€-€-€/€€2€(€CpÖgţűĚ?.226/€€2€(€ďc fÁč?.774/€€2€(€Ť×1jźŇ?.293/€€2€(€Ť×1jźŇ?.293-€-€/€€-€2€(€hfƒuáQ#@9.660/€€-€2€(€ifƒuáQ#@9.660/€€-€2€(€hfƒuáQ#@9.660/€€-€2€(€hfƒuáQ#@9.660-€-€/€€2€((€đ?1.000/€€2€((€đ?1.000/€€2€((€đ?1.000/€€2€((€đ?1.000-€-€/€€2€((€€@@33.000/€€2€((€€@@33.000/€€2€((€€@@33.000/€€2€((€€@@33.000-€-€/€€2€(€Ą_Ɍ o?.004/€€2€(€Ą_Ɍ o?.004/€€2€(€Ą_Ɍ o?.004/€€2€(€Ą_Ɍ o?.004Default Multivariate Tests"GLM_Table_DefaultMultivariateTestsU€W€Y€2t€€(TestW€Y€t€€(Pillai's TraceW€Y€Ct€€( Wilks' LambdaW€Y€t€€(Hotelling's TraceW€Y€$t€€(Roy's Largest RootCGKOU€W€Y€ôt€€(EffectW€Y€Gt€€(timeXU€W€Y€,t€€( StatisticsW€Y€>t€€(ValueW€Y€ýt€€(FW€Y€t€€( Hypothesis dfW€Y€řt€€(Error dfW€Y€%t€€(Sig.aeimq&ƒ(ƒ€(0Design: Intercept Within Subjects Design: timeq€-€€(Multivariate Tests&ƒ(ƒ€(Exact statistic   K€>\gs€SK2€€\KKaKKax€€(€€(Ľ€6§€§€Ş€˙˙˙Ź€Čx xó˙˙˙ź"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čhh((ó˙˙˙"Arial(cont.)$H$xź€ďÀ­ç˙˙”ć˙˙€€(Mauchly's Test of Sphericity€ ™GLM%€dddd'€)€+€-€-€-€/€€2€(€đ?1.000-€-€/€€2€(€.000-€-€/€€2€(€0-€-€/€€2€(€˙˙˙˙˙˙ď˙.-€-€/€€2€((€đ?1.000-€-€/€€2€((€đ?1.000-€-€/€€2€((€đ?1.000 Mauchly TestGLM_Table_MauchlyTestU€W€Y€t€€(MeasureW€Y€t€€( MEASURE_1ĘU€W€Y€Et€€(Within Subjects EffectW€Y€Gt€€(timeÓU€W€Y€,t€€( StatisticsW€Y€t€€( Mauchly's WW€Y€Ět€€(Approx. Chi-SquareW€Y€ît€€(dfW€Y€%t€€(Sig.W€Y€őt€-€€(EpsilonW€Y€t€€(Greenhouse-GeisserW€Y€t€€( Huynh-FeldtW€Y€ t€€( Lower-boundÜŕäčńőů&ƒ(ƒ€(0Design: Intercept Within Subjects Design: timein S€-€€(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.@îŞ€Ź€Ȁ€€€€˙K€Ĺ^^€ÎKŽ€€×Y[KKWX__€€(˜Tests the null hypothesis that the error covariance matrix of the orthonormalized transformed dependent variables is proportional to an identity matrix.€€(Ľ€6§€§€Ş€˙˙˙Ź€Čx xó˙˙˙ź"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čhh((ó˙˙˙"Arial(cont.)$H$xź€Àrć˙˙Ľvĺ˙˙€€( Tests of Within-Subjects Effects€ #GLM%€dddd'€)€+€-€-€-€-€/€€2€((€ÄĂĂËo@252.368/€€2€((€ÄĂĂËo@252.368/€€2€((€ÄĂĂËo@252.368/€€2€((€ÄĂĂËo@252.368-€-€/€€2€((€ńŠ@862.132/€€2€((€ńŠ@862.132/€€2€((€ńŠ@862.132/€€2€((€ńŠ@862.132-€-€-€/€€2€(€đ?1/€€2€((€đ?1.000/€€2€((€đ?1.000/€€2€((€đ?1.000-€-€/€€2€(€€@@33/€€2€((€€@@33.000/€€2€((€€@@33.000/€€2€((€€@@33.000-€-€-€/€€2€((€ÄĂĂËo@252.368/€€2€((€ÄĂĂËo@252.368/€€2€((€ÄĂĂËo@252.368/€€2€((€ÄĂĂËo@252.368-€-€/€€2€((€ä%=š :@26.125/€€2€((€ä%=š :@26.125/€€2€((€ä%=š :@26.125/€€2€((€ä%=š :@26.125-€-€-€/€€2€(€ifƒuáQ#@9.660/€€2€(€ifƒuáQ#@9.660/€€2€(€ifƒuáQ#@9.660/€€2€(€ifƒuáQ#@9.660-€-€-€/€€2€(€Ą_Ɍ o?.004/€€2€(€Ą_Ɍ o?.004/€€2€(€Ą_Ɍ o?.004/€€2€(€Ą_Ɍ o?.004 Tests of Within Subjects Effects&GLM_Table_TestsofWithinSubjectsEffectsU€W€Y€öt€€(Epsilon CorrectionsW€Y€+t€€(Sphericity AssumedW€Y€t€€(Greenhouse-GeisserW€Y€t€€( Huynh-FeldtW€Y€ t€€( Lower-boundŚŞŽ˛U€W€Y€t€€(MeasureW€Y€t€€( MEASURE_1ťU€W€Y€(t€€(SourceW€Y€Gt€€(timeW€Y€€€( Error(time)ÄČU€W€Y€,t€€( StatisticsW€Y€;t€€(Type III Sum of SquaresW€Y€ît€€(dfW€Y€t€€( Mean SquareW€Y€ýt€€(FW€Y€%t€€(Sig.ŃŐŮÝáK€Ą…X_€ś^^€żKPP€Ě\K_KK_€€( Tests of Within-Subjects Effects€€(€€(Ľ€6§€§€Ş€˙˙˙Ź€Čx xó˙˙˙ź"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čhh((ó˙˙˙"Arial(cont.)$H$xź€'ÀTĺ˙˙OĘä˙˙€€("Tests of Within-Subjects Contrasts€ GLM%€dddd'€)€+€-€-€-€-€/€€2€((€ÄĂĂËo@252.368-€-€/€€2€((€ńŠ@862.132-€-€-€/€€2€(€đ?1-€-€/€€2€(€€@@33-€-€-€/€€2€((€ÄĂĂËo@252.368-€-€/€€2€((€ä%=š :@26.125-€-€-€/€€2€(€ifƒuáQ#@9.660-€-€-€/€€2€(€Ą_Ɍ o?.004"Tests of Within Subjects Contrasts(GLM_Table_TestsofWithinSubjectsContrastsU€W€Y€˙˙˙˙€€(timeW€Y€Űt€€(Linear>U€W€Y€t€€(MeasureW€Y€t€€( MEASURE_1GU€W€Y€(t€€(SourceW€Y€Gt€€(timeW€Y€€€( Error(time)PTU€W€Y€,t€€( StatisticsW€Y€;t€€(Type III Sum of SquaresW€Y€ît€€(dfW€Y€t€€( Mean SquareW€Y€ýt€€(FW€Y€%t€€(Sig.]aeimK€9K7€B^^€KKPP€X\K_KK_€€("Tests of Within-Subjects Contrasts€€(€€(Ľ€6§€§€Ş€˙˙˙Ź€Čx xó˙˙˙ź"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čhh((ó˙˙˙"Arial(cont.)$H$xź€À¨ä˙˙  ä˙˙€€(!Tests of Between-Subjects Effects€ GLM%€dddd'€)€+€-€-€-€-€/€€2€((€‡‡‡‡ŠrA 167509.191-€-€/€€2€((€?<<<<ś@1777.309-€-€-€/€€2€(€đ?1-€-€/€€2€(€€@@33-€-€-€/€€2€((€‡‡‡‡ŠrA 167509.191-€-€/€€2€((€ĐÍÍÍÍíJ@53.858-€-€-€/€€2€(€ž jkL¨@3110.210-€-€-€/€€2€(€wHżBűąů8.000&Test of Between Subjects Fixed Effects+GLM_Table_TestofBetweenSubjectsFixedEffectsU€W€Y€5t€€(Transformed VariableW€Y€€€(AverageĘU€W€Y€t€€(MeasureW€Y€t€€( MEASURE_1ÓU€W€Y€(t€€(SourceW€Y€ t€€( InterceptW€Y€÷t€€(ErrorÜŕU€W€Y€,t€€( StatisticsW€Y€;t€€(Type III Sum of SquaresW€Y€ît€€(dfW€Y€t€€( Mean SquareW€Y€ýt€€(FW€Y€%t€€(Sig.éíńőůK€ĹK€€Î^^€×KKD€ä\K_KK_€€(!Tests of Between-Subjects Effects€€(€€(Ľ€6§€§€Ş€˙˙˙Ź€Čx xó˙˙˙ź"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čx ó˙˙˙"ArialŞ€˙˙˙Ź€Čhh((ó˙˙˙"Arial(cont.)$H$xꀓÉ˙˙˙˙NANIĐ4\˙˙PTPivotControllerědddd˙˙ PVPivotView˙˙ PMPivotModel˙˙NDimensional__DspCell˙˙IndexedCollection  €˙˙DspCell˙˙ DspSimpleText˙˙ DspNumber(€ŔS@79 €€€(€2@18 €€€(€9@25 €€€(€7@23.00 €€€(€ůďĎ1.4@2.025 € €€€(€ŔS@79 €€€(€(@12 €€€(€4@20 €€€(€¨tdĎ0@16.81 €€€(€unƸÓL@2.288 € €€€(€ŔS@79 €€€(€@4 €€€(€4@20 €€€(€”ŽěˆJ'@11.65 €€€(€•[ţŸ @3.453 € €€€(€ŔS@79 €€€(€€C@39 €€€(€@P@65 €€€(€tdĎ@TşI@51.46 €€€(€ŻÓF‚Ű–@5.647 € €€€(€€P@66 €€€(€,@14 €€€(€9@25 €€€(€ |đÁ4@20.12 €€€(€XŽŻ´ťÝ@2.858 € €€€(€€P@66 €€€(€@7 €€€(€4@20 €€€(€>řŕƒ>-@14.62 €€€(€9ł 7@3.027 € €€€(€€P@66 €€€(€@4 €€€(€3@19 €€€(€>řŕƒ)@12.76 €€€(€ţžĽ1A´ @3.713 € €€€(€€P@66 €€€(€>@30 €€€(€€N@61 €€€(€ŔG@47.50 €€€(€#RCQ^e@7.349 € €€€(€0Descriptive Statistics(Descriptives_Table_DescriptiveStatistics˙˙PMPivotItemTree˙˙AbstractTreeBranch˙˙PMModelItemInfot€˙˙ DspString( Statistics”€–€t€™€(N”€–€t€™€(Minimum”€–€ t€™€(Maximum”€–€ t€™€(Mean”€–€t€™€(Std. Deviation›ŸŁ§Ť’€”€–€t€™€( Variables ”€–€˙˙˙˙€™€( G1CrCulComp”€–€˙˙˙˙€™€( G1SubInterest”€–€˙˙˙˙€™€( G1SocGather”€–€˙˙˙˙€™€(G1Total”€–€˙˙˙˙€™€( G2CrCulComp”€–€˙˙˙˙€™€( G2SubInterest”€–€˙˙˙˙€™€( G2SocGather”€–€˙˙˙˙€™€(G2Total”€–€t€™€(Valid N (listwise) ´¸źŔÄČĚĐÔ K˙˙PVViewDimension“KKKKaaŘ€Ż he`Khe`Kss€™€(Descriptive Statistics€™€(€™€(˙˙ PTTableLook6˙˙PVSeparatorStyleă€˙˙ PVCellStyle˙˙˙˙˙ PVTextStyleČx xó˙˙˙ź"Arialć€˙˙˙č€Čx ó˙˙˙"Arialć€˙˙˙č€Čx ó˙˙˙"Arialć€˙˙˙č€Čx ó˙˙˙"Arialć€˙˙˙č€Čx ó˙˙˙"Arialć€˙˙˙č€Čx ó˙˙˙"Arialć€˙˙˙č€Čx ó˙˙˙"Arialć€˙˙˙č€Čhh((ó˙˙˙"Arial(cont.)$H$x˙˙PVPrintManager˙˙ PTPivotState