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!"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIþÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿSPSS Output DocumentcÿÿNavTitle—Ìÿÿq~Ìÿÿÿÿ DspSimpleTextÿÿ DspString(TitleÿÿNavTreeViewItemGLMòÿÿÿŒLucida GrandePœ{\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 }ØÿÿÿÞÿÿÿØÿÿÿ((‰f;4!ø*ööööð (Continued)š{\rtf1\ansi\deff0\deftab720\deflang1033{\fonttbl{\f0\fswiss\fcharset0 Arial;}} {\colortbl\red0\green0\blue0;} \pard\qc\plain\f0\fs20\cf0 &[PageTitle] }š{\rtf1\ansi\deff0\deftab720\deflang1033{\fonttbl{\f0\fswiss\fcharset0 Arial;}} {\colortbl\red0\green0\blue0;} \pard\qr\plain\f0\fs20\cf0 Page &[Page] }7ÿÿNavRoot€€(Output€ ÿÿNavHead€€(General Linear Model€GLM€Øÿÿÿq¿ÿÿÿ€€(Title€GLMòÿÿÿŒLucida GrandePœ{\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 }ÿÿNavNoteØÿÿÿJúýÿÿ€€(Notes€GLMÿÿPTPivotControllerus gerppddddÿÿ PVPivotViewÿÿ PMPivotModelÿÿNDimensional__DspCellÿÿIndexedCollection ÿÿDspCell€ÿÿ DspNumber€ÀŒ÷B06-JUL-2007 08:55:52&€€€( &€€€(&€€€(&€€€(&€€)€(€ 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.&€€€(ÿGLM active planning suppress posreint restrain instss emotss religion humor venting denial mentdis behavdis accept v37 BY initialh /METHOD = SSTYPE(3) /INTERCEPT = INCLUDE /EMMEANS = TABLES(initialh) /CRITERIA = ALPHA(.05) /DESIGN = initialh . &€€)€ € 0:00:00.00Notes GLM_NotesÿÿPMPivotItemTreeÿÿAbstractTreeBranchÿÿPMModelItemInfoØt€€(ContentsH€J€t€€(Output CreatedH€J€t€€(CommentsH€J€t€€(InputH€J€t€€(DataH€J€t€€(FilterH€J€ t€€(WeightH€J€ t€€( Split FileH€J€ t€€(N of Rows in Working Data FileH€J€t€€(Missing Value HandlingH€J€æt€€(Definition of MissingH€J€Õt€€( Cases UsedH€J€ t€€(SyntaxH€J€t€€( ResourcesH€J€ t€€( Elapsed TimeH€J€t€€( ResourcesH€J€ t€€( Elapsed Time NRZ^bfjrvz‚Š  áÿÿPVViewDimensionG uaaaaaŠ–aagg–€€(Notes€€(€€(ÿÿ PTTableLook6ÿÿPVSeparatorStyle˜€ÿÿ PVCellStyleÿÿÿÿÿ PVTextStyleÈx xóÿÿÿŒ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èhh((óÿÿÿ" Lucida Grande(cont.)$H$xÿÿPVPrintManagerÿÿNavPivotÿÿÿ-ÿÿÿ€€(Between-Subjects Factors€ °GLM€dddd€ €"€$€$€&€€)€(€€B@37$€&€€)€(€€@@33Between Subjects Factors GLM_Table_BetweenSubjectsFactorsF€H€J€t€€( PropertiesH€J€?t€€( Value LabelH€J€t€€(NÆÊF€H€J€þt€€( Factor LevelsH€J€ÿÿÿÿ€€( InitialHiLoH€J€ÿÿÿÿ€)€(€ð?1H€J€ÿÿÿÿ€)€(€@2×ÛKŽ€Áaa\Ž€Îaa2€€(Between-Subjects Factors€€(€€(–€6˜€˜€›€ÿÿÿ€Èx xóÿÿÿŒ" Lucida 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 œÚœ7.000&€€)€(€ûzíšZ6•:.000$€&€€)€(€ÇE©0þbÏ?.245&€€)€(€Þ‡GTÜ?.443&€€)€(€B"Ú3‰ŽÚ?.415&€€)€(€*¡Ð«Œ*ï?.974&€€)€(€FøÆbµÎ?.240&€€)€(€ ÿ¹Œ0ÔÖ?.357&€€)€(€.ßî‘bÖ?.350&€€)€(€?âx€g³â?.584&€€)€(€¬ .&èvÐ?.257&€€)€(€ìì90\ÅÉ?.201&€€)€(€íw¡ö«ˆÍ?.231&€€)€(€ŸÜöâ¶ÎÐ?.263&€€)€(€µ±&@©á?.552&€€)€(€hO (CÙ?.395&€€)€(€Ь©² EÖ?.348&Test of Between Subjects Fixed Effects+GLM_Table_TestofBetweenSubjectsFixedEffectsF€H€J€çt€€(Dependent VariableH€J€ÿÿÿÿ€€(ACTIVEH€J€ÿÿÿÿ€€(PLANNINGH€J€ÿÿÿÿ€€(SUPPRESSH€J€ÿÿÿÿ€€(POSREINTH€J€ÿÿÿÿ€€( RestraintH€J€ÿÿÿÿ€€(INSTSSH€J€ÿÿÿÿ€€(EMOTSSH€J€ÿÿÿÿ€€(RELIGIONH€J€ÿÿÿÿ€€(HUMORH€J€ ÿÿÿÿ€€(VENTINGH€J€ ÿÿÿÿ€€(DENIALH€J€ ÿÿÿÿ€€(MENTDISH€J€ ÿÿÿÿ€€(BEHAVDISH€J€ ÿÿÿÿ€€(ACCEPTH€J€ÿÿÿÿ€€(A&D "&*.26:>B F€H€J€(t€€(SourceH€J€àt€€(Corrected ModelH€J€ÿÿÿÿ€°H€J€ÿÿÿÿ€€(INITIALHH€J€÷t€€(ErrorH€J€3t€€(TotalH€J€át€€(Corrected TotalKORVZ^F€H€J€,t€€( StatisticsH€J€;t€€(Type III Sum of SquaresH€J€ît€€(dfH€J€t€€( Mean SquareH€J€ýt€€(FH€J€%t€€(Sig.gkosw ΁Ё€(,R Squared = .020 (Adjusted R Squared = .005)΁Ё€(-R Squared = .009 (Adjusted R Squared = -.006)΁Ё€(-R Squared = .010 (Adjusted R Squared = -.005)V΁Ё€(-R Squared = .000 (Adjusted R Squared = -.015) ΁Ё€(,R Squared = .020 (Adjusted R Squared = .006)4΁Ё€(-R Squared = .013 (Adjusted R Squared = -.002)8΁Ё€(-R Squared = .004 (Adjusted R Squared = -.010)rauq΁Ё€(,R Squared = .019 (Adjusted R Squared = .004)ÿÿ ΁Ё€(,R Squared = .024 (Adjusted R Squared = .010)AAAA$΁Ё€(,R Squared = .021 (Adjusted R Squared = .007)(΁Ё€(,R Squared = .018 (Adjusted R Squared = .004)( 1^,΁Ё€(-R Squared = .005 (Adjusted R Squared = -.009)0΁Ё€(-R Squared = .011 (Adjusted R Squared = -.004)4KŽ€aaaaaaaaaaaaaaa€Ž€F|aaaau|Ž€bdadaad€€(!Tests of Between-Subjects Effects€€(  €€(–€6˜€˜€›€ÿÿÿ€Èx xóÿÿÿŒ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èhh((óÿÿÿ" Lucida Grande(cont.)$H$x­€ø€€€(Estimated Marginal Means€¿€oôÿÿqVôÿÿ€€(Title€ÃGLMòÿÿÿŒLucida 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 }¯€4ôÿÿ“9ñÿÿ€€( InitialHiLo€ ÇGLM€dddd€ €"€$€$€$€&€€)€((€³n0E>ë&@11.459&€€)€(€ªxoÛÞ?.482&€€)€((€t‡þòªþ$@10.497&€€)€((€òUb—Ñ×(@12.422$€&€€)€((€F]tÑE%@10.636&€€)€(€zYáVà?.511&€€)€((€Q<`H><#@9.618&€€)€((€;òY dO'@11.655$€$€&€€)€((€—"Ÿuƒ)(@12.081&€€)€(€$svöà?.503&€€)€((€*za{o'&@11.077&€€)€((€ËÜo—+*@13.085$€&€€)€((€|ðÁ'@11.515&€€)€(€ü…Àž¢ á?.533&€€)€((€\ü jç$@10.452&€€)€((€²Añ×()@12.578$€$€&€€)€((€ÈgÝ`Š|"@9.243&€€)€(€ '˜ë(@12.459&€€)€(€Jæþ<"á?.532&€€)€((€Qx+ÌõË&@11.398&€€)€((€e5Ÿ† +@13.521$€&€€)€((€ùàƒ>ø(@12.485&€€)€(€B^#Ž—â?.563&€€)€((€ßâIùž&@11.361&€€)€((€ßœŸ‚7+@13.608$€$€&€€)€((€ëSä³n"@9.216&€€)€(€Üç±a,Þ?.471&€€)€((€›È @8.275&€€)€((€¹ bP$@10.157$€&€€)€((€>øàƒ$@10.030&€€)€(€ª&MŽ#óß?.499&€€)€((€Ow!z"@9.034&€€)€((€ÏÝ  &@11.026$€$€&€€)€((€‹|Ö ŠÈ'@11.892&€€)€(€ç莥éÏà?.525&€€)€((€Žš‹Þà¯%@10.844&€€)€((€bP!=ká)@12.940$€&€€)€((€]tÑE]&@11.182&€€)€(€˜œ$LÍá?.556&€€)€((€ÏÙ'ž$$@10.072&€€)€((€ëÉÉcv•(@12.292$€$€&€€)€((€Áù¬L'@11.649&€€)€(€¯³‡)¬â?.584&€€)€((€ŐIñ÷$@10.484&€€)€((€œ˜šQF )@12.813$€&€€)€((€²É&›l²%@10.848&€€)€(€Œß_œ•Åã?.618&€€)€((€ŒÖ(;#@9.616&€€)€((€H’‘_°)(@12.081$€$€&€€)€((€{Ö ŠÈg@7.351&€€)€(€Ý_öÞŒç?.742&€€)€((€ïûà|@5.871&€€)€((€ƒX£Ç©!@8.832$€&€€)€((€|ðÁ@6.758&€€)€(€tOP„¢"é?.785&€€)€((€ªÝ|KŸÂ@5.190&€€)€((€3°œÊbŠ @8.325$€$€&€€)€((€L‘ϺÁ%@10.541&€€)€(€^¡ná,žã?.616&€€)€((€èŸ*Ÿ"@9.311&€€)€((€°‚›\YŠ'@11.770$€&€€)€((€|ðÁ#@9.515&€€)€(€Å)s`áä?.653&€€)€((€{JOhm @8.213&€€)€((€“óšxj¢%@10.817$€$€&€€)€((€E>ëSä#@9.946&€€)€(€èÐ:',â?.568&€€)€((€/d !@8.813&€€)€((€[xé†(&@11.079$€&€€)€((€Â|ðÁ!@8.879&€€)€(€îæ' >ã?.601&€€)€((€ucœ­(·@7.679&€€)€((€É]_¡L($@10.079$€$€&€€)€((€Þ`Š|Ö @5.514&€€)€(€Œ›ý%n×?.360&€€)€((€’2¡Åt-@4.794&€€)€((€*s38î@6.233$€&€€)€((€…>øàƒ@4.879&€€)€(€ҙià lØ?.382&€€)€((€wñá$x@4.117&€€)€((€“-j@5.640$€$€&€€)€((€uƒ)òY7$@10.108&€€)€(€òg&öÜ?.453&€€)€((€”<@i"@9.205&€€)€((€VÊ?€­&@11.011$€&€€)€((€ºè¢‹.º"@9.364&€€)€(€\Ó ›ƒªÞ?.479&€€)€((€/šÌã¢Ð @8.407&€€)€((€E)y3º£$@10.320$€$€&€€)€((€ù¬L‘@5.892&€€)€(€ë ÐêC<×?.363&€€)€((€{-µÙr«@5.167&€€)€((€¯Ä€]%w@6.616$€&€€)€((€N6Ùd“M@5.576&€€)€(€È1ušØ?.384&€€)€((€kœg] <@4.809&€€)€((€1¯Jl_@6.343$€$€&€€)€((€ëSä³n&@11.216&€€)€(€øvIÿà?.531&€€)€((€’õ'l P$@10.156&€€)€((€D~\[(@12.276$€&€€)€((€Â|ðÁ'@11.879&€€)€(€>: À@ÿá?.562&€€)€((€ê©NgVƒ%@10.757&€€)€((€še*@13.001$€$€&€€)€((€ϺÁù¬@5.919&€€)€(€3L»ú¢Ü?.447&€€)€((€Zëß6­@5.026&€€)€((€DŠ£òD?@6.812$€&€€)€((€6Ùd“M6@5.303&€€)€(€TŠ©”“RÞ?.474&€€)€((€ Mvä-n@4.358&€€)€((€LeSBmþ@6.248Estimated Marginal Means GLM_Table_EstimatedMarginalMeansF€H€J€,t€€( StatisticsH€J€t€€(MeanH€J€.t€€( Std. ErrorH€J€Öt€€(95% Confidence IntervalH€J€ t€€( Lower BoundH€J€=t€€( Upper BoundjnvzF€H€J€ÿÿÿÿ€€( InitialHiLoH€J€ÿÿÿÿ€)€(€ð?1H€J€ÿÿÿÿ€)€(€@2ƒ‡F€H€J€çt€€(Dependent VariableH€J€ÿÿÿÿ€€(ACTIVEH€J€ÿÿÿÿ€€(PLANNINGH€J€ÿÿÿÿ€€(SUPPRESSH€J€ÿÿÿÿ€€(POSREINTH€J€ÿÿÿÿ€€( RestraintH€J€ÿÿÿÿ€€(INSTSSH€J€ÿÿÿÿ€€(EMOTSSH€J€ÿÿÿÿ€€(RELIGIONH€J€ÿÿÿÿ€€(HUMORH€J€ ÿÿÿÿ€€(VENTINGH€J€ ÿÿÿÿ€€(DENIALH€J€ ÿÿÿÿ€€(MENTDISH€J€ ÿÿÿÿ€€(BEHAVDISH€J€ ÿÿÿÿ€€(ACCEPTH€J€ÿÿÿÿ€€(A&D”˜œ €š¬°ŽžŒÀÄÈ KŽ€eaaaaOŽ€~aaS€Ž€‹aaaaaaaaaaaaaaa€€€( InitialHiLo€€(€€(–€6˜€˜€›€ÿÿÿ€Èx xóÿÿÿŒ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èhh((óÿÿÿ" Lucida Grande(cont.)$H$x­€Ë€€€(General Linear Model€éGLM€ñÿÿqþðÿÿ€€(Title€íGLMòÿÿÿŒLucida GrandePœ{\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 }€ØÿÿÿJ þÿÿ€€(Notes€ñGLM€dddd€ €"€$€ &€€)€€÷B06-JUL-2007 08:57:07&€€€( &€€€(&€€€(&€€€(&€€)€(€ 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.&€€€(ØGLM hopeag hopepth neurot extraver openness agree concient emotresi segenl1 BY initialh /METHOD = SSTYPE(3) /INTERCEPT = INCLUDE /EMMEANS = TABLES(initialh) /CRITERIA = ALPHA(.05) /DESIGN = initialh . &€€)€ € 0:00:00.00Notes GLM_NotesF€H€J€Øt€€(ContentsH€J€t€€(Output CreatedH€J€t€€(CommentsH€J€t€€(InputH€J€t€€(DataH€J€t€€(FilterH€J€ t€€(WeightH€J€ t€€( Split FileH€J€ t€€(N of Rows in Working Data FileH€J€t€€(Missing Value HandlingH€J€æt€€(Definition of MissingH€J€Õt€€( Cases UsedH€J€ t€€(SyntaxH€J€t€€( ResourcesH€J€ t€€( Elapsed TimeH€J€t€€( ResourcesH€J€ t€€( Elapsed Time  ! ) - 1 5 9 A E I Q Y  ᎀ uaaaaaŠ–aagg–€€(Notes€€(€€(–€6˜€˜€›€ÿÿÿ€Èx xóÿÿÿŒ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èhh((óÿÿÿ" Lucida Grande(cont.)$H$x­€õ¯€Üðÿÿlðÿÿ€€(Between-Subjects Factors€ x GLM€dddd€ €"€$€$€&€€)€(€€B@37$€&€€)€(€€@@33Between Subjects Factors GLM_Table_BetweenSubjectsFactorsF€H€J€t€€( PropertiesH€J€?t€€( Value LabelH€J€t€€(NŽ ’ F€H€J€þt€€( Factor LevelsH€J€ÿÿÿÿ€€( InitialHiLoH€J€ÿÿÿÿ€)€(€ð?1H€J€ÿÿÿÿ€)€(€@2Ÿ £ KŽ€‰ aa\Ž€– aa2€€(Between-Subjects Factors€€(€€(–€6˜€˜€›€ÿÿÿ€Èx xóÿÿÿŒ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èhh((óÿÿÿ" Lucida Grande(cont.)$H$x­€| ¯€Jðÿÿèïÿÿ€€(Multivariate Tests€ à GLM€dddd€ 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&€€)€(€’ìãªúŽÀ?.129&€€)€(€.<ÕsÌÐ?.262&€€)€(€qçž­ñ°?.066&€€)€(€²h®òôåÕ?.342&€€)€(€ Éb $ù×?.375&€€)€(€²äžS0ç?.725&€€)€(€<1(~‚©Ø?.385&€€)€(€¹ãK¢Qã?.604&€€)€(€œ°\§ZÕ?.334$€ &€€)€(€á,b\Ãä5.000&€€)€(€§Œ6}̚5.000&€€)€(€†;Ã\£qØ7.000&€€)€(€ ¡E.Æ<7.000&€€)€(€6~þ•ŠGù6.000&€€)€(€A‘Š“Žâ67.000&€€)€(€;…áïã7.000&€€)€(€rÆÀ,©6.000&€€)€(€Ս\*î7.000$€ &€€)€(€IìãªúŽÀ?.129&€€)€(€¢.<ÕsÌÐ?.262&€€)€(€qçž­ñ°?.066&€€)€(€Üh®òôåÕ?.342&€€)€(€XÈb $ù×?.375&€€)€(€- äžS0ç?.725&€€)€(€Ä0(~‚©Ø?.385&€€)€(€ëžãK¢Qã?.604&€€)€(€ȝ°\§ZÕ?.334&Test of Between Subjects Fixed Effects+GLM_Table_TestofBetweenSubjectsFixedEffectsF€H€J€çt€€(Dependent Variable H€J€ÿÿÿÿ€€(HOPEAGH€J€ÿÿÿÿ€€(HOPEPTHH€J€ÿÿÿÿ€€(NEUROTH€J€ÿÿÿÿ€€(EXTRAVERH€J€ÿÿÿÿ€€(OPENNESSH€J€ÿÿÿÿ€€(AGREEH€J€ÿÿÿÿ€€(CONCIENTH€J€ÿÿÿÿ€€( EmotResilH€J€ÿÿÿÿ€€(SEGENL1 > B F J N R V Z ^ F€H€J€(t€€(SourceH€J€àt€€(Corrected ModelH€J€ÿÿÿÿ€x H€J€ÿÿÿÿ€€(INITIALHH€J€÷t€€(ErrorH€J€3t€€(TotalH€J€át€€(Corrected Totalg k n r v z F€H€J€,t€€( StatisticsH€J€;t€€(Type III Sum of 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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 }¯€ãèÿÿ“ðæÿÿ€€( InitialHiLo€ × GLM€dddd€ €"€$€ $€$€&€€)€((€Ý`Š|Ö ;@27.054&€€)€(€ÄŸÕd‡ì?.892&€€)€((€ã‚øëhF9@25.275&€€)€((€×> DÕ<@28.833$€&€€)€((€>øàƒ9@25.061&€€)€(€œí]5î?.944&€€)€((€¶øãTF-7@23.177&€€)€((€hƒ mÁñ:@26.944$€$€&€€)€((€˜"Ÿuƒ)9@25.162&€€)€(€òv¹Sf‹é?.798&€€)€((€WŸ–º‘7@23.569&€€)€((€Ù¥§ÏLÁ:@26.755$€&€€)€((€Ùd“M6Ù7@23.848&€€)€(€Ú\%âd ë?.845&€€)€((€Rë>ÿj)6@22.162&€€)€((€`Þ盉9@25.535$€$€&€€)€((€˜"Ÿuƒ)2@18.162&€€)€(€DÒöÛ'ê?.817&€€)€((€ðôGmø‡0@16.531&€€)€((€@Pö}Ë3@19.793$€&€€)€((€àƒ>øà/@15.939&€€)€(€þ—™²ë?.865&€€)€((€é-2-žl,@14.212&€€)€((€ìlv'œª1@17.666$€$€&€€)€((€žuƒ)òY;@27.351&€€)€(€î¶žMò?1.144&€€)€((€ë]Q’9@25.069&€€)€((€QµNR¢=@29.634$€&€€)€((€Â|ðÁ9@25.758&€€)€(€‰©zaó?1.211&€€)€((€s×{ì(W7@23.340&€€)€((€8 ž,<@28.175$€$€&€€)€((€)òY7˜"<@28.135&€€)€(€€8Prˆ 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ErrorH€J€Öt€€(95% Confidence IntervalH€J€ t€€( Lower BoundH€J€=t€€( Upper BoundØÜäèF€H€J€ÿÿÿÿ€€( InitialHiLoH€J€ÿÿÿÿ€)€(€ð?1H€J€ÿÿÿÿ€)€(€@2ñõF€H€J€çt€€(Dependent Variable H€J€ÿÿÿÿ€€(HOPEAGH€J€ÿÿÿÿ€€(HOPEPTHH€J€ÿÿÿÿ€€(NEUROTH€J€ÿÿÿÿ€€(EXTRAVERH€J€ÿÿÿÿ€€(OPENNESSH€J€ÿÿÿÿ€€(AGREEH€J€ÿÿÿÿ€€(CONCIENTH€J€ÿÿÿÿ€€( EmotResilH€J€ÿÿÿÿ€€(SEGENL1 þ  KŽ€ÓaaaaOŽ€ìaaS€Ž€ù aaaaaaaaa€€€( InitialHiLo€€(€€(–€6˜€˜€›€ÿÿÿ€Èx xóÿÿÿŒ" Lucida Grande›€ÿÿÿ‚ýÿÿÿƒ„…†‡ˆ‰Š‹ŒŽ‘’“”•–—˜™š›œžŸ ¡¢£€¥Š§š©ª«¬­®¯°±²³Žµ¶·ž¹º»ŒœŸ¿ÀÁÂÃÄÅÆÇÈÉÊËÌÍÎÏÐÑÒÓÔÕÖרÙÚÛÜÝÞßàáâãäåæçèéêëìíîïðñòóôõö÷øùúûüýþÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èhh((óÿÿÿ" Lucida Grande(cont.)$H$x­€Û €€€(General Linear Model€?GLM€Îæÿÿqµæÿÿ€€(Title€CGLMòÿÿÿŒLucida GrandePœ{\rtf1\ansi\deff0\deftab720\deflang1033{\fonttbl{\f0\fnil\fcharset0 Lucida Grande;}} {\colortbl\red0\green0\blue0;} \pard\ql\plain\f0\fs28\cf0 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€"€$€$€$€&€€)€(€%[ÇkÀï?.992&€€)€(€8mRJð?.008&€€)€(€÷*žœÏ_@127.246&€€)€(€÷*žœÏ_@127.246$€&€€)€(€haæ?°š?.048&€€)€(€é™ütî?.952&€€)€(€HÌ1sð©?.051&€€)€(€HÌ1sð©?.051$€$€&€€$€)€(€\µoTà”@1336.082&€€$€)€(€1\µoTà”@1336.082&€€$€)€(€2\µoTà”@1336.082&€€$€)€(€2\µoTà”@1336.082$€&€€$€)€(€Æ-˜Ëá?.532&€€$€)€(€ Æ-˜Ëá?.532&€€$€)€(€Æ-˜Ëá?.532&€€$€)€(€Æ-˜Ëá?.532$€$€&€€)€((€@6.000&€€)€((€@6.000&€€)€((€@6.000&€€)€((€@6.000$€&€€)€((€@6.000&€€)€((€@6.000&€€)€((€@6.000&€€)€((€@6.000$€$€&€€)€((€€O@63.000&€€)€((€€O@63.000&€€)€((€€O@63.000&€€)€((€€O@63.000$€&€€)€((€€O@63.000&€€)€((€€O@63.000&€€)€((€€O@63.000&€€)€((€€O@63.000$€$€&€€)€(€Œ8N¶2.000&€€)€(€œµ8N¶2.000&€€)€(€œµ8N¶2.000&€€)€(€œµ8N¶2.000$€&€€)€(€‘úÈ­é?.782&€€)€(€‘úÈ­é?.782&€€)€(€‘úÈ­é?.782&€€)€(€‘úÈ­é?.782Default Multivariate Tests"GLM_Table_DefaultMultivariateTestsF€H€J€2t€€(TestH€J€t€€(Pillai's TraceH€J€Ct€€( Wilks' LambdaH€J€t€€(Hotelling's TraceH€J€$t€€(Roy's Largest Root¶ºŸÂF€H€J€ôt€€(EffectH€J€ÿÿÿÿ€€( InterceptH€J€ÿÿÿÿ€€(INITIALHËÏF€H€J€,t€€( StatisticsH€J€>t€€(ValueH€J€ýt€€(FH€J€t€€( Hypothesis dfH€J€øt€€(Error dfH€J€%t€€(Sig.ØÜàäè΁Ё€(Design: Intercept+INITIALH€$€€(Multivariate Tests΁Ё€(Exact statistic@DHLQUY]KŽ€±am}ˆˆŽ€ÆaaLŽ€Óaadaad(€€(–€6˜€˜€›€ÿÿÿ€Èx xóÿÿÿŒ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èhh((óÿÿÿ" Lucida Grande(cont.)$H$x­€¯€²äÿÿ#Åàÿÿ€€(!Tests of Between-Subjects Effects€ GLM€ô˜@dddd€ €"€$€$€$€&€€$€)€((€ÀιäKf@176.197&€€$€)€((€€™–lzžE@43.441&€€$€)€((€ <öh;Äe@174.132&€€$€)€((€*u8#@9.609&€€$€)€((€@Â^l‘È^@123.134&€€$€)€((€ÆûNq³1@17.701$€&€€)€((€Î¶DûA 327870.817&€€)€((€ŠSކûÄ A 211103.441&€€)€((€Ày§¥ŠÔA 374057.662&€€)€((€Z™3Èð¹A 169790.098&€€)€((€o°1‰åÁA 194620.692&€€)€((€"ùåÔå@ 44711.187$€&€€)€((€°Î¹äKf@176.197&€€)€((€ʛ–lzžE@43.441&€€)€((€²<öh;Äe@174.132&€€)€((€ª'u8#@9.609&€€)€((€-Ã^l‘È^@123.134&€€)€((€ÒÆûNq³1@17.701$€&€€)€((€žÁthªÉ@ 13140.816&€€)€((€ˆŸE€{ž@6267.123&€€)€((€ù«ÉªåÏ¿@8143.897&€€)€((€5 EÏG¹@6406.281&€€)€((€äÔεÝâ·@6114.866&€€)€((€^MC³•V±@4438.585$€&€€)€((€”ê<ÖA 341391.022&€€)€((€ 9»ûó” A 217758.498&€€)€((€Ò÷U,Q[A 382676.293&€€)€((€öW~V>A 176615.792&€€)€((€cŽ÷ú:‡A 200935.373&€€)€((€€è@ 49212.000$€&€€)€((€Ù𬣁Ê@ 13317.013&€€)€((€»ëuŠž@6310.564&€€)€((€ï®Ã?À@8318.029&€€)€((€Ê_×ã¹@6415.890&€€)€((€íO€ûÿ]ž@6238.000&€€)€((€$I’$Ih±@4456.286$€$€&€€)€(€ð?1&€€)€(€ð?1&€€)€(€ð?1&€€)€(€ð?1&€€)€(€ð?1&€€)€(€ð?1$€&€€)€(€ð?1&€€)€(€ð?1&€€)€(€ð?1&€€)€(€ð?1&€€)€(€ð?1&€€)€(€ð?1$€&€€)€(€ð?1&€€)€(€ð?1&€€)€(€ð?1&€€)€(€ð?1&€€)€(€ð?1&€€)€(€ð?1$€&€€)€(€Q@68&€€)€(€Q@68&€€)€(€Q@68&€€)€(€Q@68&€€)€(€Q@68&€€)€(€Q@68$€&€€)€(€€Q@70&€€)€(€€Q@70&€€)€(€€Q@70&€€)€(€€Q@70&€€)€(€€Q@70&€€)€(€€Q@70$€&€€)€(€@Q@69&€€)€(€@Q@69&€€)€(€@Q@69&€€)€(€@Q@69&€€)€(€@Q@69&€€)€(€@Q@69$€$€&€€)€((€ÀιäKf@176.197&€€)€((€€™–lzžE@43.441&€€)€((€ <öh;Äe@174.132&€€)€((€*u8#@9.609&€€)€((€@Â^l‘È^@123.134&€€)€((€ÆûNq³1@17.701$€&€€)€((€Î¶DûA 327870.817&€€)€((€ŠSކûÄ A 211103.441&€€)€((€Ày§¥ŠÔA 374057.662&€€)€((€Z™3Èð¹A 169790.098&€€)€((€o°1‰åÁA 194620.692&€€)€((€"ùåÔå@ 44711.187$€&€€)€((€°Î¹äKf@176.197&€€)€((€ʛ–lzžE@43.441&€€)€((€²<öh;Äe@174.132&€€)€((€ª'u8#@9.609&€€)€((€-Ã^l‘È^@123.134&€€)€((€ÒÆûNq³1@17.701$€&€€)€((€XÔ®Öé'h@193.247&€€)€((€D€Ax W@92.164&€€)€((€VE(Øð]@119.763&€€)€((€ŒZÃpW@94.210&€€)€((€õ^w+{V@89.925&€€)€((€†ýäÕ}QP@65.273$€$€&€€)€(€ºüÉ4-í?.912&€€)€(€e¬’?–*Þ?.471&€€)€(€µ |wwC÷?1.454&€€)€(€yiõ➺?.102&€€)€(€"üªèõ?1.369&€€)€(€OÔzã [Ñ?.271$€&€€)€(€sLœé‚š@1696.639&€€)€(€Èè iå¡@2290.530&€€)€(€«ùŸfš@3123.311&€€)€(€J"-7)œ@1802.251&€€)€(€SL'‰è @2164.268&€€)€(€”º«Âßg…@684.984$€&€€)€(€ºüÉ4-í?.912&€€)€(€“¯’?–*Þ?.471&€€)€(€É |wwC÷?1.454&€€)€(€Lfõ➺?.102&€€)€(€Ëüªèõ?1.369&€€)€(€Õzã [Ñ?.271$€$€&€€)€(€țh+ôÕ?.343&€€)€(€àGU1©ß?.495&€€)€(€’­Y~ŽÍ?.232&€€)€(€áLà…rè?.750&€€)€(€Àž¹x}Ï?.246&€€)€(€¿•²tÝUã?.604$€&€€)€(€~ðhî(‚Ÿ5.000&€€)€(€ ZŠŒ åÙ4.000&€€)€(€õ{d÷ì3.000&€€)€(€öR)ä5.000&€€)€(€~oîE‘5.000&€€)€(€ȀÔÐZ8.000$€&€€)€(€À›h+ôÕ?.343&€€)€(€0FU1©ß?.495&€€)€(€’­Y~ŽÍ?.232&€€)€(€^Mà…rè?.750&€€)€(€@¿ž¹x}Ï?.246&€€)€(€°•²tÝUã?.604&Test of Between Subjects Fixed Effects+GLM_Table_TestofBetweenSubjectsFixedEffectsF€H€J€çt€€(Dependent VariableH€J€ÿÿÿÿ€€(ICAPSTOTH€J€ÿÿÿÿ€€(EMREGH€J€ÿÿÿÿ€€(OPENH€J€ÿÿÿÿ€€(FLEXH€J€ÿÿÿÿ€€(CRITTHKH€J€ÿÿÿÿ€€(SWLSPREËÏÓ×ÛßF€H€J€(t€€(SourceH€J€àt€€(Corrected ModelH€J€ÿÿÿÿ€ÎH€J€ÿÿÿÿ€€(INITIALHH€J€÷t€€(ErrorH€J€3t€€(TotalH€J€át€€(Corrected Totalèìïó÷ûF€H€J€,t€€( StatisticsH€J€;t€€(Type III Sum of SquaresH€J€ît€€(dfH€J€t€€( Mean SquareH€J€ýt€€(FH€J€%t€€(Sig. ΁Ё€(-R Squared = .013 (Adjusted R Squared = -.001)(΁Ё€(-R Squared = .007 (Adjusted R Squared = -.008) ΁Ё€(,R Squared = .021 (Adjusted R Squared = .007)( 1^$΁Ё€(-R Squared = .001 (Adjusted R Squared = -.013)1^(΁Ё€(,R Squared = .020 (Adjusted R Squared = .005)ÿÿ,΁Ё€(-R Squared = .004 (Adjusted R Squared = -.011)0KŽ€Æaaaaaa€Ž€ã|aaaau|Ž€ÿdadaad€€(!Tests of Between-Subjects Effects€€(€€(–€6˜€˜€›€ÿÿÿ€Èx xóÿÿÿŒ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èhh((óÿÿÿ" Lucida Grande(cont.)$H$x­€€€€(Estimated Marginal Means€G€£àÿÿqŠàÿÿ€€(Title€KGLMòÿÿÿŒLucida 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 }¯€hàÿÿ“ùÞÿÿ€€( InitialHiLo€ OGLM€dddd€ €"€$€$€$€&€€)€((€WÎÚŒœP@66.962&€€)€(€:õ5nH@2.285&€€)€((€pßF²]3O@62.401&€€)€((€ö,’NiáQ@71.522$€&€€)€((€‹çÆôˆQ@70.140&€€)€(€T‚ˆPû[@2.420&€€)€((€uÁ‰·èSP@65.311&€€)€((€¡uDÖŸR@74.969$€$€&€€)€((€ *E‚¿K@54.217&€€)€(€ò£š{Ž@ù?1.578&€€)€((€Ex9I@51.067&€€)€((€ÍÛPÞ®L@57.366$€&€€)€((€ç/ôœ¿åK@55.795&€€)€(€.Ÿ‚ %œú?1.671&€€)€((€Æ>²lå:J@52.460&€€)€((€!6͙M@59.130$€$€&€€)€((€WZ,ûèQ@71.640&€€)€(€švß 5Éü?1.799&€€)€((€«Â³7Q@68.050&€€)€((€xE¿ÎR@75.230$€&€€)€((€œ=Wç1³R@74.800&€€)€(€»º {þ?1.905&€€)€((€Šÿªãæ¿Q@70.998&€€)€((€ð{ë|ŠS@78.601$€$€&€€)€((€†òÓzH@48.960&€€)€(€èxQæî‡ù?1.596&€€)€((€ $ïAãF@45.775&€€)€((€ðÞõeJ@52.144$€&€€)€((€gâ€ÕÙH@49.702&€€)€(€á5¹û?1.690&€€)€((€bBËD*G@46.330&€€)€((€l‚6f‰J@53.073$€$€&€€)€((€H ºy@ŸI@51.486&€€)€(€Œ·7Œñø?1.559&€€)€((€¶w×00H@48.375&€€)€((€ÚȜÂqLK@54.597$€&€€)€((€ €OºVK@54.143&€€)€(€Ê{iú?1.651&€€)€((€WwœŽlI@50.849&€€)€((€»Ðá^ù·L@57.437$€$€&€€)€((€ù¬L‘Ï8@24.811&€€)€(€Ê/*ÁY@õ?1.328&€€)€((€©Ó|)6@22.160&€€)€((€ã°cv;@27.461$€&€€)€((€ÑE]tÑ9@25.818&€€)€(€[CHþ£€ö?1.406&€€)€((€×¢ƒ~7@23.012&€€)€((€Ëèª;çŸ<@28.625Estimated Marginal Means GLM_Table_EstimatedMarginalMeansF€H€J€,t€€( StatisticsH€J€t€€(MeanH€J€.t€€( Std. ErrorH€J€Öt€€(95% Confidence IntervalH€J€ t€€( Lower BoundH€J€=t€€( Upper Boundÿ F€H€J€ÿÿÿÿ€€( InitialHiLoH€J€ÿÿÿÿ€)€(€ð?1H€J€ÿÿÿÿ€)€(€@2F€H€J€çt€€(Dependent VariableH€J€ÿÿÿÿ€€(ICAPSTOTH€J€ÿÿÿÿ€€(EMREGH€J€ÿÿÿÿ€€(OPENH€J€ÿÿÿÿ€€(FLEXH€J€ÿÿÿÿ€€(CRITTHKH€J€ÿÿÿÿ€€(SWLSPRE%)-159KŽ€úaaaaOŽ€aaS€Ž€ aaaaaa€€€( InitialHiLo€€(€€(–€6˜€˜€›€ÿÿÿ€Èx xóÿÿÿŒ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èhh((óÿÿÿ" Lucida Grande(cont.)$H$x­€S€€€(General Linear Model€ZGLM€×ÞÿÿqŸÞÿÿ€€(Title€^GLMòÿÿÿŒLucida GrandePœ{\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 }€ØÿÿÿJ*þÿÿ€€(Notes€bGLM€dddd€ €"€$€ &€€)€€“÷B06-JUL-2007 08:59:30&€€€( &€€€(&€€€(&€€€(&€€)€(€ 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.&€€€(ÀGLM aicomaff aiexpsea posaff negaff chall threat loss BY initialh /METHOD = SSTYPE(3) /INTERCEPT = INCLUDE /EMMEANS = TABLES(initialh) /CRITERIA = ALPHA(.05) /DESIGN = initialh . &€€)€ € 0:00:00.00Notes GLM_NotesF€H€J€Øt€€(ContentsH€J€t€€(Output CreatedH€J€t€€(CommentsH€J€t€€(InputH€J€t€€(DataH€J€t€€(FilterH€J€ t€€(WeightH€J€ t€€( Split FileH€J€ t€€(N of Rows in Working Data FileH€J€t€€(Missing Value HandlingH€J€æt€€(Definition of MissingH€J€Õt€€( Cases UsedH€J€ t€€(SyntaxH€J€t€€( ResourcesH€J€ t€€( Elapsed TimeH€J€t€€( ResourcesH€J€ t€€( Elapsed Time Ž’šž¢Šª²¶ºÂÊ  ᎀ‰ uaaaaaŠ–aagg–€€(Notes€€(€€(–€6˜€˜€›€ÿÿÿ€Èx xóÿÿÿŒ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èhh((óÿÿÿ" Lucida Grande(cont.)$H$x­€f¯€œÞÿÿ,Þÿÿ€€(Between-Subjects Factors€ éGLM€dddd€ €"€$€$€&€€)€(€9@25$€&€€)€(€7@23Between Subjects Factors GLM_Table_BetweenSubjectsFactorsF€H€J€t€€( PropertiesH€J€?t€€( Value LabelH€J€t€€(NÿF€H€J€þt€€( Factor LevelsH€J€ÿÿÿÿ€€( InitialHiLoH€J€ÿÿÿÿ€)€(€ð?1H€J€ÿÿÿÿ€)€(€@2KŽ€úaa\Ž€aa2€€(Between-Subjects Factors€€(€€(–€6˜€˜€›€ÿÿÿ€Èx xóÿÿÿŒ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èhh((óÿÿÿ" Lucida Grande(cont.)$H$x­€í¯€ ÞÿÿèÝÜÿÿ€€(Multivariate Tests€ 4GLM€dddd€ €"€$€$€$€&€€)€(€i®°Læ§ï?.989&€€)€(€ÆeÔÓl†?.011&€€)€(€‚Ó[tÿV@91.985&€€)€(€‚Ó[tÿV@91.985$€&€€)€(€î9Ï ì<È?.189&€€)€(€„1 ýÄðé?.811&€€)€(€™”WæÍ?.234&€€)€(€™”WæÍ?.234$€$€&€€$€)€(€ÑSm€@525.628&€€$€)€(€ÍSm€@525.628&€€$€)€(€ËSm€@525.628&€€$€)€(€ÊSm€@525.628$€&€€$€)€(€J   c[õ?1.335&€€$€)€(€K   c[õ?1.335&€€$€)€(€I   c[õ?1.335&€€$€)€(€I   c[õ?1.335$€$€&€€)€((€@7.000&€€)€((€@7.000&€€)€((€@7.000&€€)€((€@7.000$€&€€)€((€@7.000&€€)€((€@7.000&€€)€((€@7.000&€€)€((€@7.000$€$€&€€)€((€D@40.000&€€)€((€D@40.000&€€)€((€D@40.000&€€)€((€D@40.000$€&€€)€((€D@40.000&€€)€((€D@40.000&€€)€((€D@40.000&€€)€((€D@40.000$€$€&€€)€(€‡2ò‹W8.000&€€)€(€f‡2ò‹W8.000&€€)€(€f‡2ò‹W8.000&€€)€(€Ä‡2ò‹W8.000$€&€€)€(€]ÍÝ$žÐ?.260&€€)€(€]ÍÝ$žÐ?.260&€€)€(€rÍÝ$žÐ?.260&€€)€(€rÍÝ$žÐ?.260Default Multivariate Tests"GLM_Table_DefaultMultivariateTestsF€H€J€2t€€(TestH€J€t€€(Pillai's TraceH€J€Ct€€( Wilks' LambdaH€J€t€€(Hotelling's TraceH€J€$t€€(Roy's Largest RootÑÕÙÝF€H€J€ôt€€(EffectH€J€ÿÿÿÿ€€( InterceptH€J€ÿÿÿÿ€€(INITIALHæêF€H€J€,t€€( StatisticsH€J€>t€€(ValueH€J€ýt€€(FH€J€t€€( Hypothesis dfH€J€øt€€(Error dfH€J€%t€€(Sig.ó÷ûÿ΁Ё€(Design: Intercept+INITIALHh€$€€(Multivariate Tests΁Ё€(Exact statistic[_cglptxKŽ€Ìam}ˆˆŽ€áaaLŽ€îaadaad €€(€€(–€6˜€˜€›€ÿÿÿ€Èx xóÿÿÿŒ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èhh((óÿÿÿ" Lucida Grande(cont.)$H$x­€8¯€»Üÿÿ#4Øÿÿ€€(!Tests of Between-Subjects Effects€ +GLM€ô˜@dddd€ €"€$€$€$€&€€$€)€((€ä‚$0@16.071&€€$€)€((€pÚ@§ î?.939&€€$€)€((€s†®ˆ3@6.300&€€$€)€((€0tEœoa@139.473&€€$€)€((€öþ€5@3.026&€€$€)€((€ ˜kfa@139.188&€€$€)€((€83 êÃK@55.531$€&€€)€((€ÈU–gŸ›Â@9527.488&€€)€((€®Gá¢(À@8273.272&€€)€((€ÆdÍx·ñ@ 69931.467&€€)€((€”5ãéøœÔ@ 21239.889&€€)€((€ö—¬!éÙ@ 26532.526&€€)€((€…,d! Ù¢@2412.522&€€)€((€ão&A}ø}@479.531$€&€€)€((€ä‚$0@16.071&€€)€((€ntÚ@§ î?.939&€€)€((€ìs†®ˆ3@6.300&€€)€((€OtEœoa@139.473&€€)€((€eõþ€5@3.026&€€)€((€ž˜kfa@139.188&€€)€((€33 êÃK@55.531$€&€€)€((€áøïÛn™ƒ@627.179&€€)€((€ž…ëQxƒ@623.040&€€)€((€yQw ä‘@1145.012&€€)€((€zQw ט@1589.777&€€)€((€^VB՟ˆ@768.953&€€)€((€ôŠ7œé…•@1377.478&€€)€((€Ä:„i-Æz@428.386$€&€€)€((€öÃ@ 10220.000&€€)€((€€kÁ@8919.000&€€)€((€Ð^ñ@ 71149.000&€€)€((€€›Ö@ 23150.000&€€)€((€À¯Ú@ 27327.000&€€)€((€¯@3982.000&€€)€((€Ž@978.000$€&€€)€((€„@643.250&€€)€((€TUUUÕƒ@623.979&€€)€((€@ý‘@1151.313&€€)€((€›@1729.250&€€)€((€TUUUÕˆ@771.979&€€)€((€šªªªª²—@1516.667&€€)€((€«ªªªª>~@483.917$€$€&€€)€(€ð?1&€€)€(€ð?1&€€)€(€ð?1&€€)€(€ð?1&€€)€(€ð?1&€€)€(€ð?1&€€)€(€ð?1$€&€€)€(€ð?1&€€)€(€ð?1&€€)€(€ð?1&€€)€(€ð?1&€€)€(€ð?1&€€)€(€ð?1&€€)€(€ð?1$€&€€)€(€ð?1&€€)€(€ð?1&€€)€(€ð?1&€€)€(€ð?1&€€)€(€ð?1&€€)€(€ð?1&€€)€(€ð?1$€&€€)€(€G@46&€€)€(€G@46&€€)€(€G@46&€€)€(€G@46&€€)€(€G@46&€€)€(€G@46&€€)€(€G@46$€&€€)€(€H@48&€€)€(€H@48&€€)€(€H@48&€€)€(€H@48&€€)€(€H@48&€€)€(€H@48&€€)€(€H@48$€&€€)€(€€G@47&€€)€(€€G@47&€€)€(€€G@47&€€)€(€€G@47&€€)€(€€G@47&€€)€(€€G@47&€€)€(€€G@47$€$€&€€)€((€ä‚$0@16.071&€€)€((€pÚ@§ î?.939&€€)€((€s†®ˆ3@6.300&€€)€((€0tEœoa@139.473&€€)€((€öþ€5@3.026&€€)€((€ ˜kfa@139.188&€€)€((€83 êÃK@55.531$€&€€)€((€ÈU–gŸ›Â@9527.488&€€)€((€®Gá¢(À@8273.272&€€)€((€ÆdÍx·ñ@ 69931.467&€€)€((€”5ãéøœÔ@ 21239.889&€€)€((€ö—¬!éÙ@ 26532.526&€€)€((€…,d! Ù¢@2412.522&€€)€((€ão&A}ø}@479.531$€&€€)€((€ä‚$0@16.071&€€)€((€ntÚ@§ î?.939&€€)€((€ìs†®ˆ3@6.300&€€)€((€OtEœoa@139.473&€€)€((€eõþ€5@3.026&€€)€((€ž˜kfa@139.188&€€)€((€33 êÃK@55.531$€&€€)€((€Z ²ÂÆD+@13.634&€€)€((€dbÂŽ+@13.544&€€)€((€(©Ý=ä8@24.892&€€)€((€æõùwºGA@34.560&€€)€((€MùÉd·0@16.716&€€)€((€€¥ J÷ñ=@29.945&€€)€((€øÚP— "@9.313$€$€&€€)€(€Z-p&ûÛò?1.179&€€)€(€‘–þFÀ±?.069&€€)€(€ø¢pÕ÷2Ð?.253&€€)€(€;ùýy$@4.036&€€)€(€n(Ëòè+Ç?.181&€€)€(€[çl©—@4.648&€€)€(€ÀN8øÙ@5.963$€&€€)€(€ƒ„"Kօ@698.787&€€)€(€äNx— ƒ@610.828&€€)€(€~±}Hãò¥@2809.444&€€)€(€õ­ V–4ƒ@614.573&€€)€(€Óy Zß̘@1587.218&€€)€(€!Ÿk•"$T@80.565&€€)€(€˜Âw öŸI@51.492$€&€€)€(€w-p&ûÛò?1.179&€€)€(€/™þFÀ±?.069&€€)€(€£pÕ÷2Ð?.253&€€)€(€#;ùýy$@4.036&€€)€(€Ú'Ëòè+Ç?.181&€€)€(€uçl©—@4.648&€€)€(€»N8øÙ@5.963$€$€&€€)€(€ô뫬3!Ò?.283&€€)€(€叻'dé?.793&€€)€(€Ž‚û¡ÞÀã?.617&€€)€(€v“ 0Ó©?.050&€€)€(€nŽ¿¿ë„å?.672&€€)€(€èýÜ×Ĝ¢?.036&€€)€(€ßåUSõ’?.019$€&€€)€(€jðšB÷9.000&€€)€(€¬ýúŽ::.000&€€)€(€¶5ì<2x.7.000&€€)€(€`Š_L7:.000&€€)€(€ÆigÕ@V8.000&€€)€(€P©æUš=.000&€€)€(€L~ÚV5>.000$€&€€)€(€ß뫬3!Ò?.283&€€)€(€Œä»'dé?.793&€€)€(€5‚û¡ÞÀã?.617&€€)€(€¶u“ 0Ó©?.050&€€)€(€§Ž¿¿ë„å?.672&€€)€(€’ýÜ×Ĝ¢?.036&€€)€(€’ßåUSõ’?.019&Test of Between Subjects Fixed Effects+GLM_Table_TestofBetweenSubjectsFixedEffectsF€H€J€çt€€(Dependent VariableH€J€ÿÿÿÿ€€( AIComAff1H€J€ÿÿÿÿ€€( AIExpSea1H€J€ÿÿÿÿ€€(POSAFFH€J€ÿÿÿÿ€€(NEGAFFH€J€ÿÿÿÿ€€(CHALLH€J€ÿÿÿÿ€€(THREATH€J€ÿÿÿÿ€€(LOSS)-159=AF€H€J€(t€€(SourceH€J€àt€€(Corrected ModelH€J€ÿÿÿÿ€éH€J€ÿÿÿÿ€€(INITIALHH€J€÷t€€(ErrorH€J€3t€€(TotalH€J€át€€(Corrected TotalJNQUY]F€H€J€,t€€( StatisticsH€J€;t€€(Type III Sum of SquaresH€J€ît€€(dfH€J€t€€( Mean SquareH€J€ýt€€(FH€J€%t€€(Sig.fjnrv΁Ё€(,R Squared = .025 (Adjusted R Squared = .004)Þ;Š7΁Ё€(-R Squared = .002 (Adjusted R Squared = -.020);΁Ё€(-R Squared = .005 (Adjusted R Squared = -.016)?΁Ё€(,R Squared = .081 (Adjusted R Squared = .061)C΁Ё€(-R Squared = .004 (Adjusted R Squared = -.018)G΁Ё€(,R Squared = .092 (Adjusted R Squared = .072)K΁Ё€(,R Squared = .115 (Adjusted R Squared = .096)(OKŽ€$aaaaaaa€Ž€E|aaaau|Ž€adadaad€€(!Tests of Between-Subjects Effects€€(€€(–€6˜€˜€›€ÿÿÿ€Èx xóÿÿÿŒ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èhh((óÿÿÿ" Lucida Grande(cont.)$H$x­€/€€€(Estimated Marginal Means€¬€Øÿÿqù×ÿÿ€€(Title€°GLMòÿÿÿŒLucida 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 }¯€××ÿÿ“<Öÿÿ€€( InitialHiLo€ ŽGLM€dddd€ €"€$€$€$€&€€)€((€]Âõ(\-@14.680&€€)€(€AOEל¡ç?.738&€€)€((€‹y>ýc*@13.193&€€)€((€˜R#w *0@16.167$€&€€)€((€…,d! +@13.522&€€)€(€Žž–¥J£è?.770&€€)€((€ûÛú­¢ñ'@11.972&€€)€((€#/^ $.@15.072$€$€&€€)€((€Âõ(\*@13.280&€€)€(€VnÑÞŸç?.736&€€)€((€µ²/Ș'@11.798&€€)€((€im9"ð…-@14.762$€&€€)€((€ÿÿÿÿÿÿ)@13.000&€€)€(€œŸJÀqŽè?.767&€€)€((€¶š ³ é&@11.455&€€)€((€HW_Lß-@14.545$€$€&€€)€((€ìQž…ëB@37.840&€€)€(€È Ï!7îï?.998&€€)€((€ècÀmêA@35.831&€€)€((€ð }œìC@39.849$€&€€)€((€,d! YHC@38.565&€€)€(€gŽ¥ð?1.040&€€)€((€=•KÇOZñœó?1.226&€€)€((€Õ þ`á0@16.880&€€)€((€3DŸDµÐ5@21.815$€$€&€€)€((€Ház®G7@23.280&€€)€(€ØÐ¶ÌŽ*ê?.818&€€)€((€Ú{šµO¢5@21.634&€€)€((€¶F[s í8@24.926$€&€€)€((€+d! YÈ7@23.783&€€)€(€Vi’PâGë?.853&€€)€((€Ûþih 6@22.067&€€)€((€{ÉØ­§9@25.499$€$€&€€)€((€š™™™™™!@8.800&€€)€(€ì6¢zׂñ?1.094&€€)€((€æd°Sc@6.597&€€)€((€,À[‰&@11.003$€&€€)€((€WÈB²@5.391&€€)€(€”[¯Aò?1.141&€€)€((€“Õ£’Á@3.095&€€)€((€ä¥3›À@7.688$€$€&€€)€((€ö(\Âõ@4.240&€€)€(€Ú£‚°Þ‡ã?.610&€€)€((€ß?~Jw@3.011&€€)€((€ü1yyÉß@5.469$€&€€)€((€ YÈB²@2.087&€€)€(€Óñw…¹\ä?.636&€€)€((€äQ-_­Ëé?.806&€€)€((€›]Å-Añ @3.368Estimated Marginal Means GLM_Table_EstimatedMarginalMeansF€H€J€,t€€( StatisticsH€J€t€€(MeanH€J€.t€€( Std. ErrorH€J€Öt€€(95% Confidence IntervalH€J€ t€€( Lower BoundH€J€=t€€( Upper Boundƒ‹F€H€J€ÿÿÿÿ€€( InitialHiLoH€J€ÿÿÿÿ€)€(€ð?1H€J€ÿÿÿÿ€)€(€@2˜œF€H€J€çt€€(Dependent VariableH€J€ÿÿÿÿ€€( AIComAff1H€J€ÿÿÿÿ€€( AIExpSea1H€J€ÿÿÿÿ€€(POSAFFH€J€ÿÿÿÿ€€(NEGAFFH€J€ÿÿÿÿ€€(CHALLH€J€ÿÿÿÿ€€(THREATH€J€ÿÿÿÿ€€(LOSS¥©­±µ¹œKŽ€zaaaaOŽ€“aaS€Ž€ aaaaaaa€€€( InitialHiLo€€(€€(–€6˜€˜€›€ÿÿÿ€Èx xóÿÿÿŒ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èhh((óÿÿÿ" Lucida Grande(cont.)$H$x­€ž€€€(General Linear Model€ÞGLM€ÖÿÿqÖÿÿ€€(Title€âGLMòÿÿÿŒLucida GrandePœ{\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 }€ØÿÿÿJ þÿÿ€€(Notes€æGLM€dddd€ €"€$€ &€€)€€à•÷B06-JUL-2007 09:00:44&€€€( &€€€(&€€€(&€€€(&€€)€(€ 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.&€€€(ÓGLM swlspost anxiety somatic hostile depress totsymp ai2comaf ai2expse BY initialh /METHOD = SSTYPE(3) /INTERCEPT = INCLUDE /EMMEANS = TABLES(initialh) /CRITERIA = ALPHA(.05) /DESIGN = initialh . &€€)€ € 0:00:00.00Notes GLM_NotesF€H€J€Øt€€(ContentsH€J€t€€(Output CreatedH€J€t€€(CommentsH€J€t€€(InputH€J€t€€(DataH€J€t€€(FilterH€J€ t€€(WeightH€J€ t€€( Split FileH€J€ t€€(N of Rows in Working Data FileH€J€t€€(Missing Value HandlingH€J€æt€€(Definition of MissingH€J€Õt€€( Cases UsedH€J€ t€€(SyntaxH€J€t€€( ResourcesH€J€ t€€( Elapsed TimeH€J€t€€( ResourcesH€J€ t€€( Elapsed Time "&*.6:>FN  ᎀ  uaaaaaŠ–aagg–€€(Notes€€(€€(–€6˜€˜€›€ÿÿÿ€Èx xóÿÿÿŒ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èhh((óÿÿÿ" Lucida Grande(cont.)$H$x­€ê¯€ßÕÿÿoÕÿÿ€€(Between-Subjects Factors€ mGLM€dddd€ €"€$€$€&€€)€(€;@27$€&€€)€(€:@26Between Subjects Factors GLM_Table_BetweenSubjectsFactorsF€H€J€t€€( PropertiesH€J€?t€€( Value LabelH€J€t€€(Nƒ‡F€H€J€þt€€( Factor LevelsH€J€ÿÿÿÿ€€( InitialHiLoH€J€ÿÿÿÿ€)€(€ð?1H€J€ÿÿÿÿ€)€(€@2”˜KŽ€~aa\Ž€‹aa2€€(Between-Subjects Factors€€(€€(–€6˜€˜€›€ÿÿÿ€Èx xóÿÿÿŒ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èhh((óÿÿÿ" Lucida Grande(cont.)$H$x­€q¯€MÕÿÿè Ôÿÿ€€(Multivariate Tests€ žGLM€dddd€ €"€$€$€$€&€€)€(€˜ÃAX¹ï?.991&€€)€(€âϟ敏?.009&€€)€(€ª¡™'^Œ\@114.943&€€)€(€ª¡™'^Œ\@114.943$€&€€)€(€Y6àFDœ»?.108&€€)€(€5ù#wWˆì?.892&€€)€(€’À?¿?.122&€€)€(€’À?¿?.122$€$€&€€$€)€(€tò]‡@738.921&€€$€)€(€0tò]‡@738.921&€€$€)€(€2tò]‡@738.921&€€$€)€(€2tò]‡@738.921$€&€€$€)€(€-,öB×ÿè?.781&€€$€)€(€-,öB×ÿè?.781&€€$€)€(€.,öB×ÿè?.781&€€$€)€(€.,öB×ÿè?.781$€$€&€€)€((€@7.000&€€)€((€@7.000&€€)€((€@7.000&€€)€((€@7.000$€&€€)€((€@7.000&€€)€((€@7.000&€€)€((€@7.000&€€)€((€@7.000$€$€&€€)€((€€F@45.000&€€)€((€€F@45.000&€€)€((€€F@45.000&€€)€((€€F@45.000$€&€€)€((€€F@45.000&€€)€((€€F@45.000&€€)€((€€F@45.000&€€)€((€€F@45.000$€$€&€€)€(€, ‘WzÐå6.000&€€)€(€Ä‘WzÐå6.000&€€)€(€Ä‘WzÐå6.000&€€)€(€Ä‘WzÐå6.000$€&€€)€(€8[akgã?.606&€€)€(€8[akgã?.606&€€)€(€8[akgã?.606&€€)€(€8[akgã?.606Default Multivariate Tests"GLM_Table_DefaultMultivariateTestsF€H€J€2t€€(TestH€J€t€€(Pillai's TraceH€J€Ct€€( Wilks' LambdaH€J€t€€(Hotelling's TraceH€J€$t€€(Roy's Largest RootUY]aF€H€J€ôt€€(EffectH€J€ÿÿÿÿ€€( InterceptH€J€ÿÿÿÿ€€(INITIALHjnF€H€J€,t€€( 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ÌÜ?.438$€&€€)€(€MºØdÈ6.000&€€)€(€êßê‰ôÒ=.000&€€)€(€\öõ¯Ž>.000&€€)€(€ÀŸÔtž=.000&€€)€(€cʙ1·áW=.000&€€)€(€fmŒ:d=.000&€€)€(€Ü"EËŒ§ñ8.000&€€)€(€° g’e¹Œ9.000$€&€€)€(€øæh gÛ?.428&€€)€(€>âçÃ?.156&€€)€(€ì¹ÿ5%9å?.663&€€)€(€\w<pæ?.701&€€)€(€˜šd»É?.201&€€)€(€<Ê=9Ù?.394&€€)€(€ɖ[$ÈJé?.790&€€)€(€Ÿã ÌÜ?.438&Test of Between Subjects Fixed Effects+GLM_Table_TestofBetweenSubjectsFixedEffectsF€H€J€çt€€(Dependent VariableH€J€ÿÿÿÿ€€(SWLSPOSTH€J€ÿÿÿÿ€€(ANXIETYH€J€ÿÿÿÿ€€(SOMATICH€J€ÿÿÿÿ€€(HOSTILEH€J€ÿÿÿÿ€€(DEPRESSH€J€ÿÿÿÿ€€(TOTSYMPH€J€ÿÿÿÿ€€( AI2ComAff2H€J€ÿÿÿÿ€€( AI2ExpSea2ðôøü F€H€J€(t€€(SourceH€J€àt€€(Corrected ModelH€J€ÿÿÿÿ€mH€J€ÿÿÿÿ€€(INITIALHH€J€÷t€€(ErrorH€J€3t€€(TotalH€J€át€€(Corrected Total $(F€H€J€,t€€( StatisticsH€J€;t€€(Type III Sum of SquaresH€J€ît€€(dfH€J€t€€( Mean SquareH€J€ýt€€(FH€J€%t€€(Sig.159=A΁Ё€(-R Squared = .012 (Adjusted R Squared = -.007)»΁Ё€(,R Squared = .039 (Adjusted R Squared = .020)(¿΁Ё€(-R Squared = .004 (Adjusted R Squared = -.016)Ã΁Ё€(-R Squared = .003 (Adjusted R Squared = -.017)ÿÿÇ΁Ё€(,R Squared = .032 (Adjusted R Squared = .013)Ë΁Ё€(-R Squared = .014 (Adjusted R Squared = -.005)Ï΁Ё€(-R Squared = .001 (Adjusted R Squared = -.018)Ó΁Ё€(-R Squared = .012 (Adjusted R Squared = -.008)×KŽ€ëaaaaaaaa€Ž€|aaaau|Ž€,dadaad€€(!Tests of Between-Subjects Effects€€(€€(–€6˜€˜€›€ÿÿÿ€Èx xóÿÿÿŒ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èhh((óÿÿÿ" Lucida Grande(cont.)$H$x­€³€€€(Estimated Marginal Means€z€»Îÿÿq¢Îÿÿ€€(Title€~GLMòÿÿÿŒLucida 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 }¯€€Îÿÿ“¹Ìÿÿ€€( InitialHiLo€ ‚GLM€dddd€ €"€$€$€$€&€€)€((€ÆqÇq;@27.111&€€)€(€Bl--ñè?.779&€€)€((€û„ZՋ9@25.546&€€)€((€xè³3­<@28.676$€&€€)€((€<@28.000&€€)€(€€%m24ké?.794&€€)€((€!hÏñÁg:@26.405&€€)€((€ߗ0>˜=@29.595$€$€&€€)€((€UUUUUU@4.333&€€)€(€ £þŠ!ä?.629&€€)€((€«8Ê֐@3.070&€€)€((€TŽE¿šb@5.596$€&€€)€((€íÄNìÄN@3.038&€€)€(€֕ò趃ä?.641&€€)€((€Ýnúèü?1.751&€€)€((€š ³­JM@4.325$€$€&€€)€((€þÿÿÿÿÿÿ?2.000&€€)€(€Ú+_f¶á?.554&€€)€((€ŸZøÏpì?.889&€€)€((€NéýÌã@3.111$€&€€)€((€NìÄNìÄ@2.346&€€)€(€ös¡ôÆ â?.564&€€)€((€¥@Ÿ*Œkó?1.214&€€)€((€Jž*ˆÔ @3.479$€$€&€€)€((€z í%Ž—@3.074&€€)€(€á*Š}ñÞ?.483&€€)€((€MïèWÒÓ@2.103&€€)€((€ԑøùÊ-@4.045$€&€€)€((€b'vb'v@2.808&€€)€(€}§jÑcˆß?.493&€€)€((€Ž ¥ÕÎý?1.819&€€)€((€êÉZç_@3.797$€$€&€€)€((€ÇqÇq@4.778&€€)€(€³ÖÏ hrã?.608&€€)€((€O¯g4?v @3.558&€€)€((€æ ôÃý@5.998$€&€€)€((€±;±; @3.654&€€)€(€¿ã=Ñã?.619&€€)€((€Ï,ldÖH@2.411&€€)€((€Jýš–@4.897$€$€&€€)€((€ì%Ž—Ð^,@14.185&€€)€(€ô‹äLÊþ?1.906&€€)€((€SÁÇ7w·$@10.358&€€)€((€BEÐû2@18.012$€&€€)€((€;±;±'@11.846&€€)€(€ (zþ…ÿ?1.943&€€)€((€MG^É@7.946&€€)€((€€ô>xç}/@15.746$€$€&€€)€((€ÚKh/¡-@14.815&€€)€(€Ž?Çcüûå?.687&€€)€((€×/õß*@13.436&€€)€((€'BËí¬10@16.194$€&€€)€((€vb'vb'.@15.077&€€)€(€Š$Žü1gæ?.700&€€)€((€ "}MÄW+@13.671&€€)€((€&ÑhO€{0@16.482$€$€&€€)€((€^B{ í%(@12.074&€€)€(€„æ+ù å?.658&€€)€((€D4ó¿%@10.753&€€)€((€x‚ÂÊ*@13.395$€&€€)€((€؉Ø‰)@12.808&€€)€(€Ž&W†¡så?.670&€€)€((€A"L{ì&@11.462&€€)€((€oñd˜N,@14.154Estimated Marginal Means GLM_Table_EstimatedMarginalMeansF€H€J€,t€€( StatisticsH€J€t€€(MeanH€J€.t€€( Std. ErrorH€J€Öt€€(95% Confidence IntervalH€J€ t€€( Lower BoundH€J€=t€€( Upper BoundhltxF€H€J€ÿÿÿÿ€€( InitialHiLoH€J€ÿÿÿÿ€)€(€ð?1H€J€ÿÿÿÿ€)€(€@2…F€H€J€çt€€(Dependent VariableH€J€ÿÿÿÿ€€(SWLSPOSTH€J€ÿÿÿÿ€€(ANXIETYH€J€ÿÿÿÿ€€(SOMATICH€J€ÿÿÿÿ€€(HOSTILEH€J€ÿÿÿÿ€€(DEPRESSH€J€ÿÿÿÿ€€(TOTSYMPH€J€ÿÿÿÿ€€( AI2ComAff2H€J€ÿÿÿÿ€€( AI2ExpSea2Ž’–šž¢ŠªKŽ€caaaaOŽ€|aaS€Ž€‰aaaaaaÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿýÿÿÿýÿÿÿýÿÿÿýÿÿÿ !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~€‚ƒ„…†‡ˆ‰Š‹ŒŽ‘’“”•–—˜™š›œžŸ ¡¢£€¥Š§š©ª«¬­®¯°±²³Žµ¶·ž¹º»ŒœŸ¿ÀÁÂÃÄÅÆÇÈÉÊËÌÍÎÏÐÑÒÓÔÕÖרÙÚÛÜÝÞßàáâãäåæçèéêëìíîïðñòóôõö÷øùúûüýþÿ     þÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿSPSS Output DocumentcÿÿNavPivot»Üÿÿ#4Øÿÿÿÿ DspSimpleTextÿÿ DspString(!Tests of Between-Subjects EffectsÿÿNavTreeViewItem GLMÿÿPTPivotControllerô˜@ddddÿÿ PVPivotViewÿÿ PMPivotModelÿÿNDimensional__DspCellÿÿIndexedCollection€€ÿÿDspCell€€ÿÿ DspNumber((€ä‚$0@16.071€€€€((€pÚ@§ î?.939€€€€((€s†®ˆ3@6.300€€€€((€0tEœoa@139.473€€€€((€öþ€5@3.026€€€€((€ ˜kfa@139.188€€€€((€83 êÃK@55.531€€€€((€ÈU–gŸ›Â@9527.488€€€((€®Gá¢(À@8273.272€€€((€ÆdÍx·ñ@ 69931.467€€€((€”5ãéøœÔ@ 21239.889€€€((€ö—¬!éÙ@ 26532.526€€€((€…,d! 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.096)(0KÿÿPVViewDimensionaaaaaaa€v‚)|aaaau|v‚Fdadaad€€(!Tests of Between-Subjects Effects€€(€€(ÿÿ PTTableLook6ÿÿPVSeparatorStyle‚‚ÿÿ PVCellStyleÿÿÿÿÿ PVTextStyleÈx xóÿÿÿŒ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èhh((óÿÿÿ" Lucida Grande(cont.)$H$xÿÿPVPrintManager ØÿÿÿÞÿÿÿØÿÿÿ((‰o34!ø*ööööð (Continued)š{\rtf1\ansi\deff0\deftab720\deflang1033{\fonttbl{\f0\fswiss\fcharset0 Arial;}} {\colortbl\red0\green0\blue0;} \pard\qc\plain\f0\fs20\cf0 &[PageTitle] }š{\rtf1\ansi\deff0\deftab720\deflang1033{\fonttbl{\f0\fswiss\fcharset0 Arial;}} {\colortbl\red0\green0\blue0;} \pard\qr\plain\f0\fs20\cf0 Page &[Page] }.ÿÿNavRoot€€(Output€šÿÿNavHead€€(General Linear Model€ŸGLMÿÿNavTitleØÿÿÿq¿ÿÿÿ€€(Title€€GLMòÿÿÿŒLucida GrandePœ{\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 }ÿÿNavNoteØÿÿÿJúýÿÿ€€(Notes€©GLM €us gerppdddd € €€€ €€€€ÀŒ÷B06-JUL-2007 08:55:52€€€( €€€(€€€(€€€(€€€(€ 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.€€€(ÿGLM active planning suppress posreint restrain instss emotss religion humor venting denial mentdis behavdis accept v37 BY initialh /METHOD = SSTYPE(3) /INTERCEPT = INCLUDE /EMMEANS = TABLES(initialh) /CRITERIA = ALPHA(.05) /DESIGN = initialh . €€€ € 0:00:00.00Notes GLM_Notes‚‚ ‚Øt€€(Contents‚ ‚t€€(Output Created‚ ‚t€€(Comments‚ ‚t€€(Input‚ ‚t€€(Data‚ ‚t€€(Filter‚ ‚ t€€(Weight‚ ‚ t€€( Split File‚ ‚ t€€(N of Rows in Working Data File‚ ‚t€€(Missing Value Handling‚ ‚æt€€(Definition of Missing‚ ‚Õt€€( Cases Used‚ ‚ t€€(Syntax‚ ‚t€€( Resources‚ ‚ t€€( Elapsed Time‚ ‚t€€( Resources‚ ‚ t€€( Elapsed Time ÕÙáåéíñùý   áv‚Ð uaaaaaŠ–aagg–€€(Notes€€(€€(€‚6‚‚‚‚…‚ÿÿÿ‡‚Èx xóÿÿÿŒ" 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‚ÿÿÿÿ€€(RELIGION‚ ‚ÿÿÿÿ€€(HUMOR‚ ‚ ÿÿÿÿ€€(VENTING‚ ‚ ÿÿÿÿ€€(DENIAL‚ ‚ ÿÿÿÿ€€(MENTDIS‚ ‚ ÿÿÿÿ€€(BEHAVDIS‚ ‚ ÿÿÿÿ€€(ACCEPT‚ ‚ÿÿÿÿ€€(A&DˆŒ”˜œ €š¬°ŽžŒÀ ‚‚ ‚(t€€(Source‚ ‚àt€€(Corrected Model‚ ‚ÿÿÿÿ€0‚ ‚ÿÿÿÿ€€(INITIALH‚ ‚÷t€€(Error‚ ‚3t€€(Total‚ ‚át€€(Corrected TotalÉÍÐÔØÜ‚‚ ‚,t€€( Statistics‚ ‚;t€€(Type III Sum of Squares‚ ‚ît€€(df‚ ‚t€€( Mean Square‚ ‚ýt€€(F‚ ‚%t€€(Sig.åéíñõ _‚a‚€(,R Squared = .020 (Adjusted R Squared = .005)~_‚a‚€(-R Squared = .009 (Adjusted R Squared = -.006)‚_‚a‚€(-R Squared = .010 (Adjusted R Squared = -.005)V†_‚a‚€(-R Squared = .000 (Adjusted R Squared = -.015)Š_‚a‚€(,R Squared = .020 (Adjusted R Squared = .006)4Ž_‚a‚€(-R Squared = .013 (Adjusted R Squared = -.002)’–¶_‚a‚€(-R Squared = .004 (Adjusted R Squared = -.010)rauqš_‚a‚€(,R Squared = .019 (Adjusted R Squared = .004)ÿÿž_‚a‚€(,R Squared = .024 (Adjusted R Squared = .010)AAAA¢_‚a‚€(,R Squared = .021 (Adjusted R Squared = .007)Š_‚a‚€(,R Squared = .018 (Adjusted R Squared = .004)( 1^ª_‚a‚€(-R Squared = .005 (Adjusted R Squared = -.009)®_‚a‚€(-R Squared = .011 (Adjusted R Squared = -.004)²Kv‚ƒaaaaaaaaaaaaaaa€v‚Ä|aaaau|v‚àdadaad€€(!Tests of Between-Subjects Effects€€(  €€(€‚6‚‚‚‚…‚ÿÿÿ‡‚Èx xóÿÿÿŒ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èhh((óÿÿÿ" Lucida Grande(cont.)$H$x—‚vž‚€€(Estimated Marginal Means€= £‚oôÿÿqVôÿÿ€€(Title€A GLMòÿÿÿŒLucida GrandePÁ{\rtf1\ansi\deff0\deftab720\deflang1033{\fonttbl{\f0\fnil\fcharset0 Lucida Grande;}} {\colortbl\red0\green0\blue0;} \pard\ql\plain\f0\fs28\cf0 \plain\f0\fs28\cf0\b Estimated Marginal Means }€4ôÿÿ“9ñÿÿ€€( InitialHiLo€ E GLM €dddd € €€€€€€€€((€³n0E>ë&@11.459€€€(€ªxoÛÞ?.482€€€((€t‡þòªþ$@10.497€€€((€òUb—Ñ×(@12.422€€€€((€F]tÑE%@10.636€€€(€zYáVà?.511€€€((€Q<`H><#@9.618€€€((€;òY dO'@11.655€€€€€((€—"Ÿuƒ)(@12.081€€€(€$svöà?.503€€€((€*za{o'&@11.077€€€((€ËÜo—+*@13.085€€€€((€|ðÁ'@11.515€€€(€ü…Àž¢ á?.533€€€((€\ü jç$@10.452€€€((€²Añ×()@12.578€€€€€((€ÈgÝ`Š|"@9.243€€€(€ '˜ë(@12.459€€€(€Jæþ<"á?.532€€€((€Qx+ÌõË&@11.398€€€((€e5Ÿ† +@13.521€€€€((€ùàƒ>ø(@12.485€€€(€B^#Ž—â?.563€€€((€ßâIùž&@11.361€€€((€ßœŸ‚7+@13.608€€€€€((€ëSä³n"@9.216€€€(€Üç±a,Þ?.471€€€((€›È @8.275€€€((€¹ bP$@10.157€€€€((€>øàƒ$@10.030€€€(€ª&MŽ#óß?.499€€€((€Ow!z"@9.034€€€((€ÏÝ  &@11.026€€€€€((€‹|Ö ŠÈ'@11.892€€€(€ç莥éÏà?.525€€€((€Žš‹Þà¯%@10.844€€€((€bP!=ká)@12.940€€€€((€]tÑE]&@11.182€€€(€˜œ$LÍá?.556€€€((€ÏÙ'ž$$@10.072€€€((€ëÉÉcv•(@12.292€€€€€((€Áù¬L'@11.649€€€(€¯³‡)¬â?.584€€€((€ŐIñ÷$@10.484€€€((€œ˜šQF )@12.813€€€€((€²É&›l²%@10.848€€€(€Œß_œ•Åã?.618€€€((€ŒÖ(;#@9.616€€€((€H’‘_°)(@12.081€€€€€((€{Ö ŠÈg@7.351€€€(€Ý_öÞŒç?.742€€€((€ïûà|@5.871€€€((€ƒX£Ç©!@8.832€€€€((€|ðÁ@6.758€€€(€tOP„¢"é?.785€€€((€ªÝ|KŸÂ@5.190€€€((€3°œÊbŠ @8.325€€€€€((€L‘ϺÁ%@10.541€€€(€^¡ná,žã?.616€€€((€èŸ*Ÿ"@9.311€€€((€°‚›\YŠ'@11.770€€€€((€|ðÁ#@9.515€€€(€Å)s`áä?.653€€€((€{JOhm @8.213€€€((€“óšxj¢%@10.817€€€€€((€E>ëSä#@9.946€€€(€èÐ:',â?.568€€€((€/d !@8.813€€€((€[xé†(&@11.079€€€€((€Â|ðÁ!@8.879€€€(€îæ' >ã?.601€€€((€ucœ­(·@7.679€€€((€É]_¡L($@10.079€€€€€((€Þ`Š|Ö @5.514€€€(€Œ›ý%n×?.360€€€((€’2¡Åt-@4.794€€€((€*s38î@6.233€€€€((€…>øàƒ@4.879€€€(€ҙià lØ?.382€€€((€wñá$x@4.117€€€((€“-j@5.640€€€€€((€uƒ)òY7$@10.108€€€(€òg&öÜ?.453€€€((€”<@i"@9.205€€€((€VÊ?€­&@11.011€€€€((€ºè¢‹.º"@9.364€€€(€\Ó ›ƒªÞ?.479€€€((€/šÌã¢Ð @8.407€€€((€E)y3º£$@10.320€€€€€((€ù¬L‘@5.892€€€(€ë ÐêC<×?.363€€€((€{-µÙr«@5.167€€€((€¯Ä€]%w@6.616€€€€((€N6Ùd“M@5.576€€€(€È1ušØ?.384€€€((€kœg] <@4.809€€€((€1¯Jl_@6.343€€€€€((€ëSä³n&@11.216€€€(€øvIÿà?.531€€€((€’õ'l P$@10.156€€€((€D~\[(@12.276€€€€((€Â|ðÁ'@11.879€€€(€>: À@ÿá?.562€€€((€ê©NgVƒ%@10.757€€€((€še*@13.001€€€€€((€ϺÁù¬@5.919€€€(€3L»ú¢Ü?.447€€€((€Zëß6­@5.026€€€((€DŠ£òD?@6.812€€€€((€6Ùd“M6@5.303€€€(€TŠ©”“RÞ?.474€€€((€ Mvä-n@4.358€€€((€LeSBmþ@6.248Estimated Marginal Means GLM_Table_EstimatedMarginalMeans‚‚ ‚,t€€( Statistics‚ ‚t€€(Mean‚ ‚.t€€( Std. Error‚ ‚Öt€€(95% Confidence Interval‚ ‚ t€€( Lower Bound‚ ‚=t€€( Upper Boundè ì ô ø ‚‚ ‚ÿÿÿÿ€€( InitialHiLo‚ ‚ÿÿÿÿ€€(€ð?1‚ ‚ÿÿÿÿ€€(€@2  ‚‚ ‚çt€€(Dependent Variable‚ ‚ÿÿÿÿ€€(ACTIVE‚ ‚ÿÿÿÿ€€(PLANNING‚ ‚ÿÿÿÿ€€(SUPPRESS‚ ‚ÿÿÿÿ€€(POSREINT‚ ‚ÿÿÿÿ€€( Restraint‚ ‚ÿÿÿÿ€€(INSTSS‚ ‚ÿÿÿÿ€€(EMOTSS‚ ‚ÿÿÿÿ€€(RELIGION‚ ‚ÿÿÿÿ€€(HUMOR‚ ‚ ÿÿÿÿ€€(VENTING‚ ‚ ÿÿÿÿ€€(DENIAL‚ ‚ ÿÿÿÿ€€(MENTDIS‚ ‚ ÿÿÿÿ€€(BEHAVDIS‚ ‚ ÿÿÿÿ€€(ACCEPT‚ ‚ÿÿÿÿ€€(A&D     " & * . 2 6 : > B F  Kv‚ã aaaaOv‚ü aaS€v‚ aaaaaaaaaaaaaaa€€€( InitialHiLo€€(€€(€‚6‚‚‚‚…‚ÿÿÿ‡‚Èx xóÿÿÿŒ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èhh((óÿÿÿ" Lucida Grande(cont.)$H$x—‚I ž‚€€(General Linear Model€g GLM£‚ñÿÿqþðÿÿ€€(Title€k GLMòÿÿÿŒLucida GrandePœ{\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 }š‚ØÿÿÿJ þÿÿ€€(Notes€o GLM €dddd € €€€ €€€€÷B06-JUL-2007 08:57:07€€€( €€€(€€€(€€€(€€€(€ 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.€€€(ØGLM hopeag hopepth neurot extraver openness agree concient emotresi segenl1 BY initialh /METHOD = SSTYPE(3) /INTERCEPT = INCLUDE /EMMEANS = TABLES(initialh) /CRITERIA = ALPHA(.05) /DESIGN = initialh . €€€ € 0:00:00.00Notes GLM_Notes‚‚ ‚Øt€€(Contents‚ ‚t€€(Output Created‚ ‚t€€(Comments‚ ‚t€€(Input‚ ‚t€€(Data‚ ‚t€€(Filter‚ ‚ t€€(Weight‚ ‚ t€€( Split File‚ ‚ t€€(N of Rows in Working Data File‚ ‚t€€(Missing Value Handling‚ ‚æt€€(Definition of Missing‚ ‚Õt€€( Cases Used‚ ‚ t€€(Syntax‚ ‚t€€( Resources‚ ‚ t€€( Elapsed Time‚ ‚t€€( Resources‚ ‚ t€€( Elapsed Time › Ÿ § « ¯ ³ · ¿ Ã Ç Ï ×  áv‚– uaaaaaŠ–aagg–€€(Notes€€(€€(€‚6‚‚‚‚…‚ÿÿÿ‡‚Èx xóÿÿÿŒ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èhh((óÿÿÿ" Lucida Grande(cont.)$H$x—‚s €Üðÿÿlðÿÿ€€(Between-Subjects Factors€ ö GLM €dddd € €€€€€€€(€€B@37€€€€(€€@@33Between Subjects Factors GLM_Table_BetweenSubjectsFactors‚‚ ‚t€€( Properties‚ ‚?t€€( Value Label‚ ‚t€€(N  ‚‚ ‚þt€€( Factor Levels‚ ‚ÿÿÿÿ€€( InitialHiLo‚ ‚ÿÿÿÿ€€(€ð?1‚ ‚ÿÿÿÿ€€(€@2 ! Kv‚ aa\v‚ aa2€€(Between-Subjects Factors€€(€€(€‚6‚‚‚‚…‚ÿÿÿ‡‚Èx xóÿÿÿŒ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èhh((óÿÿÿ" Lucida Grande(cont.)$H$x—‚ú €Jðÿÿèïÿÿ€€(Multivariate Tests€ A GLM €dddd € €€€€€€€€(€^e|@ï?.972€€€(€DT3~ð7œ?.028€€€(€…WÕä€A@35.288€€€(€…WÕä€A@35.288€€€€(€©A‚ŽÀ?.129€€€(€—/~_xÜë?.871€€€(€”uL±Ã?.149€€€(€”uL±Ã?.149€€€€€€(€ã‘Ç (hm@235.255€€€€(€Þ‘Ç (hm@235.255€€€€(€Þ‘Ç (hm@235.255€€€€(€Þ‘Ç (hm@235.255€€€€€(€L~*Ò°ï?.990€€€€(€C~*Ò°ï?.990€€€€(€L~*Ò°ï?.990€€€€(€L~*Ò°ï?.990€€€€€((€"@9.000€€€((€"@9.000€€€((€"@9.000€€€((€"@9.000€€€€((€"@9.000€€€((€"@9.000€€€((€"@9.000€€€((€"@9.000€€€€€((€N@60.000€€€((€N@60.000€€€((€N@60.000€€€((€N@60.000€€€€((€N@60.000€€€((€N@60.000€€€((€N@60.000€€€((€N@60.000€€€€€(€ñŸàä5_7.000€€€(€G àä5_7.000€€€(€G àä5_7.000€€€(€G àä5_7.000€€€€(€X#·ª¡IÝ?.458€€€(€h#·ª¡IÝ?.458€€€(€X#·ª¡IÝ?.458€€€(€X#·ª¡IÝ?.458Default Multivariate Tests"GLM_Table_DefaultMultivariateTests‚‚ ‚2t€€(Test‚ ‚t€€(Pillai's Trace‚ ‚Ct€€( Wilks' Lambda‚ ‚t€€(Hotelling's Trace‚ ‚$t€€(Roy's Largest RootÞ â æ ê ‚‚ ‚ôt€€(Effect‚ ‚ÿÿÿÿ€€( Intercept‚ ‚ÿÿÿÿ€€(INITIALHó ÷ ‚‚ ‚,t€€( Statistics‚ ‚>t€€(Value‚ ‚ýt€€(F‚ ‚t€€( Hypothesis df‚ ‚øt€€(Error df‚ ‚%t€€(Sig.    _‚a‚€(Design: Intercept+INITIALH\X€€€(Multivariate Tests_‚a‚€(Exact statistich l p t y }  … Kv‚Ù am}ˆˆv‚î aaLv‚û aadaad €€(€€(€‚6‚‚‚‚…‚ÿÿÿ‡‚Èx xóÿÿÿŒ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èhh((óÿÿÿ" Lucida Grande(cont.)$H$x—‚E €ûîÿÿ#@éÿÿ€€(!Tests of Between-Subjects Effects€ 8 GLM €ô˜@dddd € €€€€€ €€€€((€°Ë††)TQ@69.315€€€€((€@î8/>@30.102€€€€((€PO°xƒ‹U@86.180€€€€((€ÄÀƒJ'F@44.307€€€€((€Àï˜ ÎB@37.614€€€€((€ДˆH@5.570€€€€((€SÖë9A@34.453€€€€((€‚°‰95=@29.208€€€€((€€sfî%|P@65.940€ €€€((€2á¶!ç@ 47373.715€€€((€ê³2Puä@ 41898.502€€€((€éI%ÏÓ@ 20284.580€€€((€V93÷Òè@ 49198.593€€€((€óSÞZ!”é@ 52385.042€€€((€õKù¹?æ@ 45565.799€€€((€ë俐­Jè@ 49749.424€€€((€Ðßðò{?A 133103.494€€€((€Äâ .húñ@ 73638.511€ €€€((€Öˆ†)TQ@69.315€€€((€Cí8/>@30.102€€€((€OO°xƒ‹U@86.180€€€((€ÖÃÀƒJ'F@44.307€€€((€Ì𘠐ÎB@37.614€€€((€e͔ˆH@5.570€€€((€§SÖë9A@34.453€€€((€°‰95=@29.208€€€((€Œrfî%|P@65.940€ €€€((€ ë-?Ÿ@1999.771€€€((€Ÿ˜ë ™@1603.269€€€((€ÑRñŸCš@1680.906€€€((€Œ–Šoüž©@3292.493€€€((€7'žP©@3201.658€€€((€ŸþM%§§@3027.572€€€((€ß`Š|Öù§@3068.919€€€((€€˜ë‡Œ@7303.078€€€((€IÅ7~ny²@4729.432€ 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€€€(€ՑÖÛ@2.357€€€(€Ÿ(^wmô?1.277€€€(€(s‡Ž ä @3.486€€€(€ŒKéaHHí?.915€€€(€|!Ejé?.799€€€(€ Žz8«À?.125€€€(€vå¶©mè?.763€€€(€2xÙÅÆgÑ?.272€€€(€ Ôý=žVî?.948€€ €€€(€’ìãªúŽÀ?.129€€€(€.<ÕsÌÐ?.262€€€(€qçž­ñ°?.066€€€(€²h®òôåÕ?.342€€€(€ Éb $ù×?.375€€€(€²äžS0ç?.725€€€(€<1(~‚©Ø?.385€€€(€¹ãK¢Qã?.604€€€(€œ°\§ZÕ?.334€ €€€(€á,b\Ãä5.000€€€(€§Œ6}̚5.000€€€(€†;Ã\£qØ7.000€€€(€ ¡E.Æ<7.000€€€(€6~þ•ŠGù6.000€€€(€A‘Š“Žâ67.000€€€(€;…áïã7.000€€€(€rÆÀ,©6.000€€€(€Ս\*î7.000€ €€€(€IìãªúŽÀ?.129€€€(€¢.<ÕsÌÐ?.262€€€(€qçž­ñ°?.066€€€(€Üh®òôåÕ?.342€€€(€XÈb $ù×?.375€€€(€- äžS0ç?.725€€€(€Ä0(~‚©Ø?.385€€€(€ëžãK¢Qã?.604€€€(€ȝ°\§ZÕ?.334&Test of Between Subjects Fixed Effects+GLM_Table_TestofBetweenSubjectsFixedEffects‚‚ ‚çt€€(Dependent Variable ‚ ‚ÿÿÿÿ€€(HOPEAG‚ ‚ÿÿÿÿ€€(HOPEPTH‚ ‚ÿÿÿÿ€€(NEUROT‚ ‚ÿÿÿÿ€€(EXTRAVER‚ ‚ÿÿÿÿ€€(OPENNESS‚ ‚ÿÿÿÿ€€(AGREE‚ ‚ÿÿÿÿ€€(CONCIENT‚ ‚ÿÿÿÿ€€( EmotResil‚ ‚ÿÿÿÿ€€(SEGENL1 ŒÀÄÈÌÐÔØÜ ‚‚ ‚(t€€(Source‚ ‚àt€€(Corrected Model‚ ‚ÿÿÿÿ€ö ‚ ‚ÿÿÿÿ€€(INITIALH‚ ‚÷t€€(Error‚ ‚3t€€(Total‚ ‚át€€(Corrected Totalåéìðôø‚‚ ‚,t€€( Statistics‚ ‚;t€€(Type III Sum of Squares‚ ‚ît€€(df‚ ‚t€€( Mean Square‚ ‚ýt€€(F‚ ‚%t€€(Sig.   _‚a‚€(,R Squared = .034 (Adjusted R Squared = .019)D _‚a‚€(,R Squared = .018 (Adjusted R Squared = .004)H _‚a‚€(,R Squared = .049 (Adjusted R Squared = .035)L _‚a‚€(-R Squared = .013 (Adjusted R Squared = -.001)(P _‚a‚€(-R Squared = .012 (Adjusted R Squared = -.003)ÿÿT _‚a‚€(-R Squared = .002 (Adjusted R Squared = -.013)X _‚a‚€(-R Squared = .011 (Adjusted R Squared = -.003)ÿÿ\ _‚a‚€(-R Squared = .004 (Adjusted R Squared = -.011)8` _‚a‚€(-R Squared = .014 (Adjusted R Squared = -.001)d Kv‚· aaaaaaaaa€v‚à|aaaau|v‚üdadaad€€(!Tests of Between-Subjects Effects€€( €€(€‚6‚‚‚‚…‚ÿÿÿ‡‚Èx xóÿÿÿŒ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èhh((óÿÿÿ" Lucida Grande(cont.)$H$x—‚< ž‚€€(Estimated Marginal Means€M£‚éÿÿqéÿÿ€€(Title€QGLMòÿÿÿŒLucida GrandePÁ{\rtf1\ansi\deff0\deftab720\deflang1033{\fonttbl{\f0\fnil\fcharset0 Lucida Grande;}} {\colortbl\red0\green0\blue0;} \pard\ql\plain\f0\fs28\cf0 \plain\f0\fs28\cf0\b Estimated Marginal Means }€ãèÿÿ“ðæÿÿ€€( InitialHiLo€ UGLM €dddd € €€€ €€€€€((€Ý`Š|Ö ;@27.054€€€(€ÄŸÕd‡ì?.892€€€((€ã‚øëhF9@25.275€€€((€×> DÕ<@28.833€€€€((€>øàƒ9@25.061€€€(€œí]5î?.944€€€((€¶øãTF-7@23.177€€€((€hƒ mÁñ:@26.944€€€€€((€˜"Ÿuƒ)9@25.162€€€(€òv¹Sf‹é?.798€€€((€WŸ–º‘7@23.569€€€((€Ù¥§ÏLÁ:@26.755€€€€((€Ùd“M6Ù7@23.848€€€(€Ú\%âd ë?.845€€€((€Rë>ÿj)6@22.162€€€((€`Þ盉9@25.535€€€€€((€˜"Ÿuƒ)2@18.162€€€(€DÒöÛ'ê?.817€€€((€ðôGmø‡0@16.531€€€((€@Pö}Ë3@19.793€€€€((€àƒ>øà/@15.939€€€(€þ—™²ë?.865€€€((€é-2-žl,@14.212€€€((€ìlv'œª1@17.666€€€€€((€žuƒ)òY;@27.351€€€(€î¶žMò?1.144€€€((€ë]Q’9@25.069€€€((€QµNR¢=@29.634€€€€((€Â|ðÁ9@25.758€€€(€‰©zaó?1.211€€€((€s×{ì(W7@23.340€€€((€8 ž,<@28.175€€€€€((€)òY7˜"<@28.135€€€(€€8Prˆ ò?1.128€€€((€8‹ž"Vâ9@25.884€€€((€YûKÚb>@30.386€€€€((€«ªªªªª:@26.667€€€(€ú©Ύó?1.194€€€((€0%ƒ{H8@24.283€€€((€&Q0ÒÙ =@29.050€€€€€((€hÝ`Š|Ö9@25.838€€€(€OÂu)ñ?1.097€€€((€Ÿ ©'Š7@23.649€€€((€1¯íÛ<@28.027€€€€((€E]tÑE9@25.273€€€(€,5T¬¯•ò?1.162€€€((€×vñitô6@22.955€€€((€³·È~.—;@27.591€€€€€((€}Ö ŠÈg;@27.405€€€(€`§Z€Œ«ñ?1.104€€€((€Ö_Ž™39@25.202€€€((€$MgEø›=@29.609€€€€((€:@26.000€€€(€xqQ#¶ò?1.169€€€((€Uw˜?™ª7@23.666€€€((€«ˆgÀfU<@28.334€€€€€((€˜"Ÿuƒ)F@44.324€€€(€ÑÁEˆmBû?1.704€€€((€dzR’YvD@40.925€€€((€ÌÊëX­ÜG@47.724€€€€((€…>øàƒE@43.030€€€(€<¢æDÝü?1.804€€€((€Iúƒ·C@39.430€€€((€Á$ül©PG@46.630€€€€€((€­L‘Ϻ@@33.459€€€(€LЎnÄïõ?1.371€€€((€Œ.>µ=¹>@30.724€€€((€ ùGB@36.195€€€€((€…>øàƒ?@31.515€€€(€E;žvb:÷?1.452€€€((€ÜåÁCž<@28.618€€€((€‡K¿4A@34.412Estimated Marginal Means GLM_Table_EstimatedMarginalMeans‚‚ ‚,t€€( Statistics‚ ‚t€€(Mean‚ ‚.t€€( Std. Error‚ ‚Öt€€(95% Confidence Interval‚ ‚ t€€( Lower Bound‚ ‚=t€€( Upper BoundVZbf‚‚ ‚ÿÿÿÿ€€( InitialHiLo‚ ‚ÿÿÿÿ€€(€ð?1‚ ‚ÿÿÿÿ€€(€@2os‚‚ ‚çt€€(Dependent Variable ‚ ‚ÿÿÿÿ€€(HOPEAG‚ ‚ÿÿÿÿ€€(HOPEPTH‚ ‚ÿÿÿÿ€€(NEUROT‚ ‚ÿÿÿÿ€€(EXTRAVER‚ ‚ÿÿÿÿ€€(OPENNESS‚ ‚ÿÿÿÿ€€(AGREE‚ ‚ÿÿÿÿ€€(CONCIENT‚ ‚ÿÿÿÿ€€( EmotResil‚ ‚ÿÿÿÿ€€(SEGENL1 |€„ˆŒ”˜œ Kv‚QaaaaOv‚jaaS€v‚w aaaaaaaaa€€€( InitialHiLo€€(€€(€‚6‚‚‚‚…‚ÿÿÿ‡‚Èx xóÿÿÿŒ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èhh((óÿÿÿ" Lucida Grande(cont.)$H$x—‚Yž‚€€(General Linear Model€œGLM£‚Îæÿÿqµæÿÿ€€(Title€ÁGLMòÿÿÿŒLucida GrandePœ{\rtf1\ansi\deff0\deftab720\deflang1033{\fonttbl{\f0\fnil\fcharset0 Lucida Grande;}} {\colortbl\red0\green0\blue0;} \pard\ql\plain\f0\fs28\cf0 \plain\f0\fs28\cf0\b General Linear Model }š‚ØÿÿÿJ*þÿÿ€€(Notes€ÅGLM €dddd € €€€ €€€€p÷B06-JUL-2007 08:57:50€€€( €€€(€€€(€€€(€€€(€ d@161€€€(3User-defined missing values are treated as missing.€€€(QStatistics are based on all cases with valid data for all variables in the model.€€€(·GLM icapstot emreg open flex critthk swlspre BY initialh /METHOD = SSTYPE(3) /INTERCEPT = INCLUDE /EMMEANS = TABLES(initialh) /CRITERIA = ALPHA(.05) /DESIGN = initialh . €€€ € 0:00:00.00Notes GLM_Notes‚‚ ‚Øt€€(Contents‚ ‚t€€(Output Created‚ ‚t€€(Comments‚ ‚t€€(Input‚ ‚t€€(Data‚ ‚t€€(Filter‚ ‚ t€€(Weight‚ ‚ t€€( Split File‚ ‚ t€€(N of Rows in Working Data File‚ ‚t€€(Missing Value Handling‚ ‚æt€€(Definition of Missing‚ ‚Õt€€( Cases Used‚ ‚ t€€(Syntax‚ ‚t€€( Resources‚ ‚ t€€( Elapsed Time‚ ‚t€€( Resources‚ ‚ t€€( Elapsed Time ñõý  %-  áv‚ì uaaaaaŠ–aagg–€€(Notes€€(€€(€‚6‚‚‚‚…‚ÿÿÿ‡‚Èx xóÿÿÿŒ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èhh((óÿÿÿ" Lucida Grande(cont.)$H$x—‚É€“æÿÿ#æÿÿ€€(Between-Subjects Factors€ LGLM €dddd € €€€€€€€(€€B@37€€€€(€€@@33Between Subjects Factors GLM_Table_BetweenSubjectsFactors‚‚ ‚t€€( Properties‚ ‚?t€€( Value Label‚ ‚t€€(Nbf‚‚ ‚þt€€( Factor Levels‚ ‚ÿÿÿÿ€€( InitialHiLo‚ ‚ÿÿÿÿ€€(€ð?1‚ ‚ÿÿÿÿ€€(€@2swKv‚]aa\v‚jaa2€€(Between-Subjects Factors€€(€€(€‚6‚‚‚‚…‚ÿÿÿ‡‚Èx xóÿÿÿŒ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èhh((óÿÿÿ" Lucida Grande(cont.)$H$x—‚P€æÿÿèÔäÿÿ€€(Multivariate Tests€ —GLM €dddd € €€€€€€€€(€%[ÇkÀï?.992€€€(€8mRJð?.008€€€(€÷*žœÏ_@127.246€€€(€÷*žœÏ_@127.246€€€€(€haæ?°š?.048€€€(€é™ütî?.952€€€(€HÌ1sð©?.051€€€(€HÌ1sð©?.051€€€€€€(€\µoTà”@1336.082€€€€(€1\µoTà”@1336.082€€€€(€2\µoTà”@1336.082€€€€(€2\µoTà”@1336.082€€€€€(€Æ-˜Ëá?.532€€€€(€ Æ-˜Ëá?.532€€€€(€Æ-˜Ëá?.532€€€€(€Æ-˜Ëá?.532€€€€€((€@6.000€€€((€@6.000€€€((€@6.000€€€((€@6.000€€€€((€@6.000€€€((€@6.000€€€((€@6.000€€€((€@6.000€€€€€((€€O@63.000€€€((€€O@63.000€€€((€€O@63.000€€€((€€O@63.000€€€€((€€O@63.000€€€((€€O@63.000€€€((€€O@63.000€€€((€€O@63.000€€€€€(€Œ8N¶2.000€€€(€œµ8N¶2.000€€€(€œµ8N¶2.000€€€(€œµ8N¶2.000€€€€(€‘úÈ­é?.782€€€(€‘úÈ­é?.782€€€(€‘úÈ­é?.782€€€(€‘úÈ­é?.782Default Multivariate Tests"GLM_Table_DefaultMultivariateTests‚‚ ‚2t€€(Test‚ ‚t€€(Pillai's Trace‚ ‚Ct€€( Wilks' Lambda‚ ‚t€€(Hotelling's Trace‚ ‚$t€€(Roy's Largest Root48<@‚‚ ‚ôt€€(Effect‚ ‚ÿÿÿÿ€€( Intercept‚ ‚ÿÿÿÿ€€(INITIALHIM‚‚ ‚,t€€( Statistics‚ ‚>t€€(Value‚ ‚ýt€€(F‚ ‚t€€( Hypothesis df‚ ‚øt€€(Error df‚ ‚%t€€(Sig.VZ^bf_‚a‚€(Design: Intercept+INITIALH€€€(Multivariate Tests_‚a‚€(Exact statisticŸÂÆÊÏÓ×ÛKv‚/am}ˆˆv‚DaaLv‚Qaadaadm€€(€€(€‚6‚‚‚‚…‚ÿÿÿ‡‚Èx xóÿÿÿŒ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èhh((óÿÿÿ" Lucida Grande(cont.)$H$x—‚›€²äÿÿ#Åàÿÿ€€(!Tests of Between-Subjects Effects€ ŽGLM €ô˜@dddd € €€€€€€€€€((€ÀιäKf@176.197€€€€((€€™–lzžE@43.441€€€€((€ <öh;Äe@174.132€€€€((€*u8#@9.609€€€€((€@Â^l‘È^@123.134€€€€((€ÆûNq³1@17.701€€€€((€Î¶DûA 327870.817€€€((€ŠSކûÄ A 211103.441€€€((€Ày§¥ŠÔA 374057.662€€€((€Z™3Èð¹A 169790.098€€€((€o°1‰åÁA 194620.692€€€((€"ùåÔå@ 44711.187€€€€((€°Î¹äKf@176.197€€€((€ʛ–lzžE@43.441€€€((€²<öh;Äe@174.132€€€((€ª'u8#@9.609€€€((€-Ã^l‘È^@123.134€€€((€ÒÆûNq³1@17.701€€€€((€žÁthªÉ@ 13140.816€€€((€ˆŸE€{ž@6267.123€€€((€ù«ÉªåÏ¿@8143.897€€€((€5 EÏG¹@6406.281€€€((€äÔεÝâ·@6114.866€€€((€^MC³•V±@4438.585€€€€((€”ê<ÖA 341391.022€€€((€ 9»ûó” A 217758.498€€€((€Ò÷U,Q[A 382676.293€€€((€öW~V>A 176615.792€€€((€cŽ÷ú:‡A 200935.373€€€((€€è@ 49212.000€€€€((€Ù𬣁Ê@ 13317.013€€€((€»ëuŠž@6310.564€€€((€ï®Ã?À@8318.029€€€((€Ê_×ã¹@6415.890€€€((€íO€ûÿ]ž@6238.000€€€((€$I’$Ih±@4456.286€€€€€(€ð?1€€€(€ð?1€€€(€ð?1€€€(€ð?1€€€(€ð?1€€€(€ð?1€€€€(€ð?1€€€(€ð?1€€€(€ð?1€€€(€ð?1€€€(€ð?1€€€(€ð?1€€€€(€ð?1€€€(€ð?1€€€(€ð?1€€€(€ð?1€€€(€ð?1€€€(€ð?1€€€€(€Q@68€€€(€Q@68€€€(€Q@68€€€(€Q@68€€€(€Q@68€€€(€Q@68€€€€(€€Q@70€€€(€€Q@70€€€(€€Q@70€€€(€€Q@70€€€(€€Q@70€€€(€€Q@70€€€€(€@Q@69€€€(€@Q@69€€€(€@Q@69€€€(€@Q@69€€€(€@Q@69€€€(€@Q@69€€€€€((€ÀιäKf@176.197€€€((€€™–lzžE@43.441€€€((€ <öh;Äe@174.132€€€((€*u8#@9.609€€€((€@Â^l‘È^@123.134€€€((€ÆûNq³1@17.701€€€€((€Î¶DûA 327870.817€€€((€ŠSކûÄ A 211103.441€€€((€Ày§¥ŠÔA 374057.662€€€((€Z™3Èð¹A 169790.098€€€((€o°1‰åÁA 194620.692€€€((€"ùåÔå@ 44711.187€€€€((€°Î¹äKf@176.197€€€((€ʛ–lzžE@43.441€€€((€²<öh;Äe@174.132€€€((€ª'u8#@9.609€€€((€-Ã^l‘È^@123.134€€€((€ÒÆûNq³1@17.701€€€€((€XÔ®Öé'h@193.247€€€((€D€Ax W@92.164€€€((€VE(Øð]@119.763€€€((€ŒZÃpW@94.210€€€((€õ^w+{V@89.925€€€((€†ýäÕ}QP@65.273€€€€€(€ºüÉ4-í?.912€€€(€e¬’?–*Þ?.471€€€(€µ |wwC÷?1.454€€€(€yiõ➺?.102€€€(€"üªèõ?1.369€€€(€OÔzã [Ñ?.271€€€€(€sLœé‚š@1696.639€€€(€Èè iå¡@2290.530€€€(€«ùŸfš@3123.311€€€(€J"-7)œ@1802.251€€€(€SL'‰è @2164.268€€€(€”º«Âßg…@684.984€€€€(€ºüÉ4-í?.912€€€(€“¯’?–*Þ?.471€€€(€É |wwC÷?1.454€€€(€Lfõ➺?.102€€€(€Ëüªèõ?1.369€€€(€Õzã [Ñ?.271€€€€€(€țh+ôÕ?.343€€€(€àGU1©ß?.495€€€(€’­Y~ŽÍ?.232€€€(€áLà…rè?.750€€€(€Àž¹x}Ï?.246€€€(€¿•²tÝUã?.604€€€€(€~ðhî(‚Ÿ5.000€€€(€ ZŠŒ åÙ4.000€€€(€õ{d÷ì3.000€€€(€öR)ä5.000€€€(€~oîE‘5.000€€€(€ȀÔÐZ8.000€€€€(€À›h+ôÕ?.343€€€(€0FU1©ß?.495€€€(€’­Y~ŽÍ?.232€€€(€^Mà…rè?.750€€€(€@¿ž¹x}Ï?.246€€€(€°•²tÝUã?.604&Test of Between Subjects Fixed Effects+GLM_Table_TestofBetweenSubjectsFixedEffects‚‚ ‚çt€€(Dependent Variable‚ ‚ÿÿÿÿ€€(ICAPSTOT‚ ‚ÿÿÿÿ€€(EMREG‚ ‚ÿÿÿÿ€€(OPEN‚ ‚ÿÿÿÿ€€(FLEX‚ ‚ÿÿÿÿ€€(CRITTHK‚ ‚ÿÿÿÿ€€(SWLSPREIMQUY]‚‚ ‚(t€€(Source‚ ‚àt€€(Corrected Model‚ ‚ÿÿÿÿ€L‚ ‚ÿÿÿÿ€€(INITIALH‚ ‚÷t€€(Error‚ ‚3t€€(Total‚ ‚át€€(Corrected Totalfjmquy‚‚ ‚,t€€( Statistics‚ ‚;t€€(Type III Sum of Squares‚ ‚ît€€(df‚ ‚t€€( Mean Square‚ ‚ýt€€(F‚ ‚%t€€(Sig.‚†ŠŽ’_‚a‚€(-R Squared = .013 (Adjusted R Squared = -.001)(š_‚a‚€(-R Squared = .007 (Adjusted R Squared = -.008)ž_‚a‚€(,R Squared = .021 (Adjusted R Squared = .007)( 1^¢_‚a‚€(-R Squared = .001 (Adjusted R Squared = -.013)1^Š_‚a‚€(,R Squared = .020 (Adjusted R Squared = .005)ÿÿª_‚a‚€(-R Squared = .004 (Adjusted R Squared = -.011)®Kv‚Daaaaaa€v‚a|aaaau|v‚}dadaad€€(!Tests of Between-Subjects Effects€€(€€(€‚6‚‚‚‚…‚ÿÿÿ‡‚Èx xóÿÿÿŒ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èhh((óÿÿÿ" Lucida Grande(cont.)$H$x—‚’ž‚€€(Estimated Marginal Means€Å£‚£àÿÿqŠàÿÿ€€(Title€ÉGLMòÿÿÿŒLucida 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 }€hàÿÿ“ùÞÿÿ€€( InitialHiLo€ ÍGLM €dddd € €€€€€€€€((€WÎÚŒœP@66.962€€€(€:õ5nH@2.285€€€((€pßF²]3O@62.401€€€((€ö,’NiáQ@71.522€€€€((€‹çÆôˆQ@70.140€€€(€T‚ˆPû[@2.420€€€((€uÁ‰·èSP@65.311€€€((€¡uDÖŸR@74.969€€€€€((€ *E‚¿K@54.217€€€(€ò£š{Ž@ù?1.578€€€((€Ex9I@51.067€€€((€ÍÛPÞ®L@57.366€€€€((€ç/ôœ¿åK@55.795€€€(€.Ÿ‚ %œú?1.671€€€((€Æ>²lå:J@52.460€€€((€!6͙M@59.130€€€€€((€WZ,ûèQ@71.640€€€(€švß 5Éü?1.799€€€((€«Â³7Q@68.050€€€((€xE¿ÎR@75.230€€€€((€œ=Wç1³R@74.800€€€(€»º {þ?1.905€€€((€Šÿªãæ¿Q@70.998€€€((€ð{ë|ŠS@78.601€€€€€((€†òÓzH@48.960€€€(€èxQæî‡ù?1.596€€€((€ $ïAãF@45.775€€€((€ðÞõeJ@52.144€€€€((€gâ€ÕÙH@49.702€€€(€á5¹û?1.690€€€((€bBËD*G@46.330€€€((€l‚6f‰J@53.073€€€€€((€H ºy@ŸI@51.486€€€(€Œ·7Œñø?1.559€€€((€¶w×00H@48.375€€€((€ÚȜÂqLK@54.597€€€€((€ €OºVK@54.143€€€(€Ê{iú?1.651€€€((€WwœŽlI@50.849€€€((€»Ðá^ù·L@57.437€€€€€((€ù¬L‘Ï8@24.811€€€(€Ê/*ÁY@õ?1.328€€€((€©Ó|)6@22.160€€€((€ã°cv;@27.461€€€€((€ÑE]tÑ9@25.818€€€(€[CHþ£€ö?1.406€€€((€×¢ƒ~7@23.012€€€((€Ëèª;çŸ<@28.625Estimated Marginal Means GLM_Table_EstimatedMarginalMeans‚‚ ‚,t€€( Statistics‚ ‚t€€(Mean‚ ‚.t€€( Std. Error‚ ‚Öt€€(95% Confidence Interval‚ ‚ t€€( Lower Bound‚ ‚=t€€( Upper Bound}‰‚‚ ‚ÿÿÿÿ€€( InitialHiLo‚ ‚ÿÿÿÿ€€(€ð?1‚ ‚ÿÿÿÿ€€(€@2–š‚‚ ‚çt€€(Dependent Variable‚ ‚ÿÿÿÿ€€(ICAPSTOT‚ ‚ÿÿÿÿ€€(EMREG‚ ‚ÿÿÿÿ€€(OPEN‚ ‚ÿÿÿÿ€€(FLEX‚ ‚ÿÿÿÿ€€(CRITTHK‚ ‚ÿÿÿÿ€€(SWLSPRE£§«¯³·Kv‚xaaaaOv‚‘aaS€v‚žaaaaaa€€€( InitialHiLo€€(€€(€‚6‚‚‚‚…‚ÿÿÿ‡‚Èx xóÿÿÿŒ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èhh((óÿÿÿ" Lucida Grande(cont.)$H$x—‚Ñž‚€€(General Linear Model€ØGLM£‚×ÞÿÿqŸÞÿÿ€€(Title€ÜGLMòÿÿÿŒLucida GrandePœ{\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 }š‚ØÿÿÿJ*þÿÿ€€(Notes€àGLM €dddd € €€€ €€€€“÷B06-JUL-2007 08:59:30€€€( €€€(€€€(€€€(€€€(€ 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.€€€(ÀGLM aicomaff aiexpsea posaff negaff chall threat loss BY initialh /METHOD = SSTYPE(3) /INTERCEPT = INCLUDE /EMMEANS = TABLES(initialh) /CRITERIA = ALPHA(.05) /DESIGN = initialh . €€€ € 0:00:00.00Notes GLM_Notes‚‚ ‚Øt€€(Contents‚ ‚t€€(Output Created‚ ‚t€€(Comments‚ ‚t€€(Input‚ ‚t€€(Data‚ ‚t€€(Filter‚ ‚ t€€(Weight‚ ‚ t€€( Split File‚ ‚ t€€(N of Rows in Working Data File‚ ‚t€€(Missing Value Handling‚ ‚æt€€(Definition of Missing‚ ‚Õt€€( Cases Used‚ ‚ t€€(Syntax‚ ‚t€€( Resources‚ ‚ t€€( Elapsed Time‚ ‚t€€( Resources‚ ‚ t€€( Elapsed Time   $(048@H  áv‚ uaaaaaŠ–aagg–€€(Notes€€(€€(€‚6‚‚‚‚…‚ÿÿÿ‡‚Èx xóÿÿÿŒ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èhh((óÿÿÿ" Lucida Grande(cont.)$H$x—‚䀜Þÿÿ,Þÿÿ€€(Between-Subjects Factors€ gGLM €dddd € €€€€€€€(€9@25€€€€(€7@23Between Subjects Factors GLM_Table_BetweenSubjectsFactors‚‚ ‚t€€( Properties‚ ‚?t€€( Value Label‚ ‚t€€(N}‚‚ ‚þt€€( Factor Levels‚ ‚ÿÿÿÿ€€( InitialHiLo‚ ‚ÿÿÿÿ€€(€ð?1‚ ‚ÿÿÿÿ€€(€@2Ž’Kv‚xaa\v‚…aa2€€(Between-Subjects Factors€€(€€(€‚6‚‚‚‚…‚ÿÿÿ‡‚Èx xóÿÿÿŒ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èhh((óÿÿÿ" Lucida Grande(cont.)$H$x—‚k€ ÞÿÿèÝÜÿÿ€€(Multivariate Tests€ ²GLM €dddd € €€€€€€€€(€i®°Læ§ï?.989€€€(€ÆeÔÓl†?.011€€€(€‚Ó[tÿV@91.985€€€(€‚Ó[tÿV@91.985€€€€(€î9Ï ì<È?.189€€€(€„1 ýÄðé?.811€€€(€™”WæÍ?.234€€€(€™”WæÍ?.234€€€€€€(€ÑSm€@525.628€€€€(€ÍSm€@525.628€€€€(€ËSm€@525.628€€€€(€ÊSm€@525.628€€€€€(€J   c[õ?1.335€€€€(€K   c[õ?1.335€€€€(€I   c[õ?1.335€€€€(€I   c[õ?1.335€€€€€((€@7.000€€€((€@7.000€€€((€@7.000€€€((€@7.000€€€€((€@7.000€€€((€@7.000€€€((€@7.000€€€((€@7.000€€€€€((€D@40.000€€€((€D@40.000€€€((€D@40.000€€€((€D@40.000€€€€((€D@40.000€€€((€D@40.000€€€((€D@40.000€€€((€D@40.000€€€€€(€‡2ò‹W8.000€€€(€f‡2ò‹W8.000€€€(€f‡2ò‹W8.000€€€(€Ä‡2ò‹W8.000€€€€(€]ÍÝ$žÐ?.260€€€(€]ÍÝ$žÐ?.260€€€(€rÍÝ$žÐ?.260€€€(€rÍÝ$žÐ?.260Default Multivariate Tests"GLM_Table_DefaultMultivariateTests‚‚ ‚2t€€(Test‚ ‚t€€(Pillai's Trace‚ ‚Ct€€( Wilks' Lambda‚ ‚t€€(Hotelling's Trace‚ ‚$t€€(Roy's Largest RootOSW[‚‚ ‚ôt€€(Effect‚ ‚ÿÿÿÿ€5‚ ‚ÿÿÿÿ€€(INITIALHdg‚‚ ‚,t€€( Statistics‚ ‚>t€€(Value‚ ‚ýt€€(F‚ ‚t€€( Hypothesis df‚ ‚øt€€(Error df‚ ‚%t€€(Sig.ptx|€_‚a‚€(Design: Intercept+INITIALHh€€€(Multivariate Tests_‚a‚€(Exact statisticÙÝáåêîòöKv‚Jam}ˆˆv‚_aaLv‚kaadaad‡€€(€€(€‚6‚‚‚‚…‚ÿÿÿ‡‚Èx xóÿÿÿŒ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èhh((óÿÿÿ" Lucida Grande(cont.)$H$x—‚¶ž‚€€(Estimated Marginal Means€š£‚Øÿÿqù×ÿÿ€€(Title€¬GLMòÿÿÿŒLucida 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 }€××ÿÿ“<Öÿÿ€€( InitialHiLo€ °GLM €dddd € €€€€€€€€((€]Âõ(\-@14.680€€€(€AOEל¡ç?.738€€€((€‹y>ýc*@13.193€€€((€˜R#w *0@16.167€€€€((€…,d! +@13.522€€€(€Žž–¥J£è?.770€€€((€ûÛú­¢ñ'@11.972€€€((€#/^ $.@15.072€€€€€((€Âõ(\*@13.280€€€(€VnÑÞŸç?.736€€€((€µ²/Ș'@11.798€€€((€im9"ð…-@14.762€€€€((€ÿÿÿÿÿÿ)@13.000€€€(€œŸJÀqŽè?.767€€€((€¶š ³ é&@11.455€€€((€HW_Lß-@14.545€€€€€((€ìQž…ëB@37.840€€€(€È Ï!7îï?.998€€€((€ècÀmêA@35.831€€€((€ð }œìC@39.849€€€€((€,d! YHC@38.565€€€(€gŽ¥ð?1.040€€€((€=•KÇOZñœó?1.226€€€((€Õ þ`á0@16.880€€€((€3DŸDµÐ5@21.815€€€€€((€Ház®G7@23.280€€€(€ØÐ¶ÌŽ*ê?.818€€€((€Ú{šµO¢5@21.634€€€((€¶F[s í8@24.926€€€€((€+d! YÈ7@23.783€€€(€Vi’PâGë?.853€€€((€Ûþih 6@22.067€€€((€{ÉØ­§9@25.499€€€€€((€š™™™™™!@8.800€€€(€ì6¢zׂñ?1.094€€€((€æd°Sc@6.597€€€((€,À[‰&@11.003€€€€((€WÈB²@5.391€€€(€”[¯Aò?1.141€€€((€“Õ£’Á@3.095€€€((€ä¥3›À@7.688€€€€€((€ö(\Âõ@4.240€€€(€Ú£‚°Þ‡ã?.610€€€((€ß?~Jw@3.011€€€((€ü1yyÉß@5.469€€€€((€ YÈB²@2.087€€€(€Óñw…¹\ä?.636€€€((€äQ-_­Ëé?.806€€€((€›]Å-Añ @3.368Estimated Marginal Means GLM_Table_EstimatedMarginalMeans‚‚ ‚,t€€( Statistics‚ ‚t€€(Mean‚ ‚.t€€( Std. Error‚ ‚Öt€€(95% Confidence Interval‚ ‚ t€€( Lower Bound‚ ‚=t€€( Upper Bound{‡‹‚‚ ‚ÿÿÿÿ€€( InitialHiLo‚ ‚ÿÿÿÿ€€(€ð?1‚ ‚ÿÿÿÿ€€(€@2”˜‚‚ ‚çt€€(Dependent Variable‚ ‚ÿÿÿÿ€€( AIComAff1‚ ‚ÿÿÿÿ€€( AIExpSea1‚ ‚ÿÿÿÿ€€(POSAFF‚ ‚ÿÿÿÿ€€(NEGAFF‚ ‚ÿÿÿÿ€€(CHALL‚ ‚ÿÿÿÿ€€(THREAT‚ ‚ÿÿÿÿ€€(LOSS¡¥©­±µ¹Kv‚vaaaaOv‚aaS€v‚œaaaaaaa€€€( InitialHiLo€€(€€(€‚6‚‚‚‚…‚ÿÿÿ‡‚Èx xóÿÿÿŒ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èhh((óÿÿÿ" Lucida Grande(cont.)$H$x—‚Žž‚€€(General Linear Model€ÚGLM£‚ÖÿÿqÖÿÿ€€(Title€ÞGLMòÿÿÿŒLucida GrandePœ{\rtf1\ansi\deff0\deftab720\deflang1033{\fonttbl{\f0\fnil\fcharset0 Lucida Grande;}} {\colortbl\red0\green0\blue0;} \pard\ql\plain\f0\fs28\cf0 \plain\f0\fs28\cf0\b General Linear Model }š‚ØÿÿÿJ þÿÿ€€(Notes€âGLM €dddd € €€€ €€€€à•÷B06-JUL-2007 09:00:44€€€( €€€(€€€(€€€(€€€(€ d@161€€€(3User-defined missing values are treated as missing.€€€(QStatistics are based on all cases with valid data for all variables in the model.€€€(ÓGLM swlspost anxiety somatic hostile depress totsymp ai2comaf ai2expse BY initialh /METHOD = SSTYPE(3) /INTERCEPT = INCLUDE /EMMEANS = TABLES(initialh) /CRITERIA = ALPHA(.05) /DESIGN = initialh . €€€ € 0:00:00.00Notes GLM_Notes‚‚ ‚Øt€€(Contents‚ ‚t€€(Output Created‚ ‚t€€(Comments‚ ‚t€€(Input‚ ‚t€€(Data‚ ‚t€€(Filter‚ ‚ t€€(Weight‚ ‚ t€€( Split File‚ ‚ t€€(N of Rows in Working Data File‚ ‚t€€(Missing Value Handling‚ ‚æt€€(Definition of Missing‚ ‚Õt€€( Cases Used‚ ‚ t€€(Syntax‚ ‚t€€( Resources‚ ‚ t€€( Elapsed Time‚ ‚t€€( Resources‚ ‚ t€€( Elapsed Time "&*26:BJ  áv‚  uaaaaaŠ–aagg–€€(Notes€€(€€(€‚6‚‚‚‚…‚ÿÿÿ‡‚Èx xóÿÿÿŒ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èhh((óÿÿÿ" Lucida Grande(cont.)$H$x—‚æ€ßÕÿÿoÕÿÿ€€(Between-Subjects Factors€ iGLM €dddd € €€€€€€€(€;@27€€€€(€:@26Between Subjects Factors GLM_Table_BetweenSubjectsFactors‚‚ ‚t€€( Properties‚ ‚?t€€( Value Label‚ ‚t€€(Nƒ‚‚ ‚þt€€( Factor Levels‚ ‚ÿÿÿÿ€€( InitialHiLo‚ ‚ÿÿÿÿ€€(€ð?1‚ ‚ÿÿÿÿ€€(€@2”Kv‚zaa\v‚‡aa2€€(Between-Subjects Factors€€(€€(€‚6‚‚‚‚…‚ÿÿÿ‡‚Èx xóÿÿÿŒ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èhh((óÿÿÿ" Lucida Grande(cont.)$H$x—‚m€MÕÿÿè Ôÿÿ€€(Multivariate Tests€ ŽGLM €dddd € €€€€€€€€(€˜ÃAX¹ï?.991€€€(€âϟ敏?.009€€€(€ª¡™'^Œ\@114.943€€€(€ª¡™'^Œ\@114.943€€€€(€Y6àFDœ»?.108€€€(€5ù#wWˆì?.892€€€(€’À?¿?.122€€€(€’À?¿?.122€€€€€€(€tò]‡@738.921€€€€(€0tò]‡@738.921€€€€(€2tò]‡@738.921€€€€(€2tò]‡@738.921€€€€€(€-,öB×ÿè?.781€€€€(€-,öB×ÿè?.781€€€€(€.,öB×ÿè?.781€€€€(€.,öB×ÿè?.781€€€€€((€@7.000€€€((€@7.000€€€((€@7.000€€€((€@7.000€€€€((€@7.000€€€((€@7.000€€€((€@7.000€€€((€@7.000€€€€€((€€F@45.000€€€((€€F@45.000€€€((€€F@45.000€€€((€€F@45.000€€€€((€€F@45.000€€€((€€F@45.000€€€((€€F@45.000€€€((€€F@45.000€€€€€(€, ‘WzÐå6.000€€€(€Ä‘WzÐå6.000€€€(€Ä‘WzÐå6.000€€€(€Ä‘WzÐå6.000€€€€(€8[akgã?.606€€€(€8[akgã?.606€€€(€8[akgã?.606€€€(€8[akgã?.606Default Multivariate Tests"GLM_Table_DefaultMultivariateTests‚‚ ‚2t€€(Test‚ ‚t€€(Pillai's Trace‚ ‚Ct€€( Wilks' Lambda‚ ‚t€€(Hotelling's Trace‚ ‚$t€€(Roy's Largest RootQUY]‚‚ ‚ôt€€(Effect‚ ‚ÿÿÿÿ€€( Intercept‚ ‚ÿÿÿÿ€€(INITIALHfj‚‚ ‚,t€€( Statistics‚ ‚>t€€(Value‚ ‚ýt€€(F‚ ‚t€€( Hypothesis df‚ ‚øt€€(Error df‚ ‚%t€€(Sig.sw{ƒ_‚a‚€(Design: Intercept+INITIALH€€€(Multivariate Tests_‚a‚€(Exact statistic4ÛßãçìðôøKv‚Lam}ˆˆv‚aaaLv‚naadaadŠ€€(€€(€‚6‚‚‚‚…‚ÿÿÿ‡‚Èx xóÿÿÿŒ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èhh((óÿÿÿ" Lucida Grande(cont.)$H$x—‚ž€þÓÿÿ#ÝÎÿÿ€€(!Tests of Between-Subjects Effects€ «GLM €ô˜@dddd € €€€€€€€€€((€ÀÃJî$@10.465€€€€((€`úŸ^Q56@22.208€€€€((€™õÛ°dù?1.587€€€€((€‰Wuî?.940€€€€((€0 S»0@16.732€€€€((€/¹MÐR@72.466€€€€((€à“fí?.910€€€€((€ÓÀÌ£ƒ@7.129€€€€((€-œ¡€ã@ 40229.031€€€((€]ÌúmX~†@719.793€€€((€«³~Fo@250.191€€€((€®¢vù£|@458.223€€€((€b6³cm@941.637€€€((€0”ÐaއÁ@8975.409€€€((€‡Û¥oÇ@ 11834.872€€€((€KvD³À@8200.185€€€€((€÷ÂJî$@10.465€€€((€júŸ^Q56@22.208€€€((€¹˜õÛ°dù?1.587€€€((€þˆWuî?.940€€€((€6 S»0@16.732€€€((€J/¹MÐR@72.466€€€((€¶î“fí?.910€€€((€œÒÀÌ£ƒ@7.129€€€€((€UUUUU%Š@836.667€€€((€<±;±@544.962€€€((€c'vb'^z@421.885€€€((€dé@¹>t@321.890€€€((€ Ò 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40229.031€€€((€]ÌúmX~†@719.793€€€((€«³~Fo@250.191€€€((€®¢vù£|@458.223€€€((€b6³cm@941.637€€€((€0”ÐaއÁ@8975.409€€€((€‡Û¥oÇ@ 11834.872€€€((€KvD³À@8200.185€€€€((€÷ÂJî$@10.465€€€((€júŸ^Q56@22.208€€€((€¹˜õÛ°dù?1.587€€€((€þˆWuî?.940€€€((€6 S»0@16.732€€€((€J/¹MÐR@72.466€€€((€¶î“fí?.910€€€((€œÒÀÌ£ƒ@7.129€€€€((€œgœg0@16.405€€€((€ˆü^†ü^%@10.686€€€((€d‹d‹ @8.272€€€((€ç)u ?@6.312€€€((€œtñŒtñ#@9.972€€€((€¿ x¡Ù†X@98.107€€€((€]é y°|)@12.744€€€((€²ÓAyE^'@11.684€€€€€(€Œ:pãîiä?.638€€€(€©|w @2.078€€€(€!÷ï?¿ŽÈ?.192€€€(€wŸu”Ã?.149€€€(€-Wܱרú?1.678€€€(€SN3¢ñ¢ç?.739€€€(€Š‹q—€G²?.071€€€(€‡fËý…ã?.610€€€€(€Fòpj(£@2452.208€€€(€Y¡”#×P@67.362€€€(€6ÞÚsž>>@30.245€€€(€@Jgm&R@72.600€€€(€/+7Š¥›W@94.432€€€(€ʘÒßV@91.486€€€(€6 Žï‘@928.696€€€(€MÑ6•î…@701.823€€€€(€ø9pãîiä?.638€€€(€ ©|w @2.078€€€(€Üöï?¿ŽÈ?.192€€€(€Eœu”Ã?.149€€€(€7Wܱרú?1.678€€€(€³N3¢ñ¢ç?.739€€€(€Ɣq—€G²?.071€€€(€BfËý…ã?.610€€€€€(€Pæh gÛ?.428€€€(€WâçÃ?.156€€€(€ ºÿ5%9å?.663€€€(€w<pæ?.701€€€(€=˜šd»É?.201€€€(€|Ê=9Ù?.394€€€(€u˜[$ÈJé?.790€€€(€¬ã ÌÜ?.438€€€€(€MºØdÈ6.000€€€(€êßê‰ôÒ=.000€€€(€\öõ¯Ž>.000€€€(€ÀŸÔtž=.000€€€(€cʙ1·áW=.000€€€(€fmŒ:d=.000€€€(€Ü"EËŒ§ñ8.000€€€(€° g’e¹Œ9.000€€€€(€øæh gÛ?.428€€€(€>âçÃ?.156€€€(€ì¹ÿ5%9å?.663€€€(€\w<pæ?.701€€€(€˜šd»É?.201€€€(€<Ê=9Ù?.394€€€(€ɖ[$ÈJé?.790€€€(€Ÿã ÌÜ?.438&Test of Between Subjects Fixed Effects+GLM_Table_TestofBetweenSubjectsFixedEffects‚‚ ‚çt€€(Dependent Variable‚ ‚ÿÿÿÿ€€(SWLSPOST‚ ‚ÿÿÿÿ€€(ANXIETY‚ ‚ÿÿÿÿ€€(SOMATIC‚ ‚ÿÿÿÿ€€(HOSTILE‚ ‚ÿÿÿÿ€€(DEPRESS‚ ‚ÿÿÿÿ€€(TOTSYMP‚ ‚ÿÿÿÿ€€( AI2ComAff2‚ ‚ÿÿÿÿ€€( AI2ExpSea2ìðôøü‚‚ ‚(t€€(Source‚ ‚àt€€(Corrected Model‚ ‚ÿÿÿÿ€i‚ ‚ÿÿÿÿ€€(INITIALH‚ ‚÷t€€(Error‚ ‚3t€€(Total‚ ‚át€€(Corrected Total $‚‚ ‚,t€€( Statistics‚ ‚;t€€(Type III Sum of Squares‚ ‚ît€€(df‚ ‚t€€( Mean Square‚ ‚ýt€€(F‚ ‚%t€€(Sig.-159=_‚a‚€(-R Squared = .012 (Adjusted R Squared = -.007)·_‚a‚€(,R Squared = .039 (Adjusted R Squared = .020)(»_‚a‚€(-R Squared = .004 (Adjusted R Squared = -.016)¿_‚a‚€(-R Squared = .003 (Adjusted R Squared = -.017)ÿÿÃ_‚a‚€(,R Squared = .032 (Adjusted R Squared = .013)Ç_‚a‚€(-R Squared = .014 (Adjusted R Squared = -.005)Ë_‚a‚€(-R Squared = .001 (Adjusted R Squared = -.018)Ï_‚a‚€(-R Squared = .012 (Adjusted R Squared = -.008)ÓKv‚çaaaaaaaa€v‚ |aaaau|v‚(dadaad€€(!Tests of Between-Subjects Effects€€(€€(€‚6‚‚‚‚…‚ÿÿÿ‡‚Èx xóÿÿÿŒ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èhh((óÿÿÿ" Lucida Grande(cont.)$H$x—‚¯ž‚€€(Estimated Marginal Means€v£‚»Îÿÿq¢Îÿÿ€€(Title€zGLMòÿÿÿŒLucida GrandePÁ{\rtf1\ansi\deff0\deftab720\deflang1033{\fonttbl{\f0\fnil\fcharset0 Lucida Grande;}} {\colortbl\red0\green0\blue0;} \pard\ql\plain\f0\fs28\cf0 \plain\f0\fs28\cf0\b Estimated Marginal Means }€€Îÿÿ“¹Ìÿÿ€€( InitialHiLo€ ~GLM €dddd € €€€€€€€€((€ÆqÇq;@27.111€€€(€Bl--ñè?.779€€€((€û„ZՋ9@25.546€€€((€xè³3­<@28.676€€€€((€<@28.000€€€(€€%m24ké?.794€€€((€!hÏñÁg:@26.405€€€((€ߗ0>˜=@29.595€€€€€((€UUUUUU@4.333€€€(€ £þŠ!ä?.629€€€((€«8Ê֐@3.070€€€((€TŽE¿šb@5.596€€€€((€íÄNìÄN@3.038€€€(€֕ò趃ä?.641€€€((€Ýnúèü?1.751€€€((€š ³­JM@4.325€€€€€((€þÿÿÿÿÿÿ?2.000€€€(€Ú+_f¶á?.554€€€((€ŸZøÏpì?.889€€€((€NéýÌã@3.111€€€€((€NìÄNìÄ@2.346€€€(€ös¡ôÆ â?.564€€€((€¥@Ÿ*Œkó?1.214€€€((€Jž*ˆÔ @3.479€€€€€((€z í%Ž—@3.074€€€(€á*Š}ñÞ?.483€€€((€MïèWÒÓ@2.103€€€((€ԑøùÊ-@4.045€€€€((€b'vb'v@2.808€€€(€}§jÑcˆß?.493€€€((€Ž ¥ÕÎý?1.819€€€((€êÉZç_@3.797€€€€€((€ÇqÇq@4.778€€€(€³ÖÏ hrã?.608€€€((€O¯g4?v @3.558€€€((€æ ôÃý@5.998€€€€((€±;±; @3.654€€€(€¿ã=Ñã?.619€€€((€Ï,ldÖH@2.411€€€((€Jýš–@4.897€€€€€((€ì%Ž—Ð^,@14.185€€€(€ô‹äLÊþ?1.906€€€((€SÁÇ7w·$@10.358€€€((€BEÐû2@18.012€€€€((€;±;±'@11.846€€€(€ (zþ…ÿ?1.943€€€((€MG^É@7.946€€€((€€ô>xç}/@15.746€€€€€((€ÚKh/¡-@14.815€€€(€Ž?Çcüûå?.687€€€((€×/õß*@13.436€€€((€'BËí¬10@16.194€€€€((€vb'vb'.@15.077€€€(€Š$Žü1gæ?.700€€€((€ "}MÄW+@13.671€€€((€&ÑhO€{0@16.482€€€€€((€^B{ í%(@12.074€€€(€„æ+ù å?.658€€€((€D4ó¿%@10.753€€€((€x‚ÂÊ*@13.395€€€€((€؉Ø‰)@12.808€€€(€Ž&W†¡så?.670€€€((€A"L{ì&@11.462€€€((€oñd˜N,@14.154Estimated Marginal Means GLM_Table_EstimatedMarginalMeans‚‚ ‚,t€€( Statistics‚ ‚t€€(Mean‚ ‚.t€€( Std. Error‚ ‚Öt€€(95% Confidence Interval‚ ‚ t€€( Lower Bound‚ ‚=t€€( Upper Bounddhpt‚‚ ‚ÿÿÿÿ€€( InitialHiLo‚ ‚ÿÿÿÿ€€(€ð?1‚ ‚ÿÿÿÿ€€(€@2}‚‚ ‚çt€€(Dependent Variable‚ ‚ÿÿÿÿ€€(SWLSPOST‚ ‚ÿÿÿÿ€€(ANXIETY‚ ‚ÿÿÿÿ€€(SOMATIC‚ ‚ÿÿÿÿ€€(HOSTILE‚ ‚ÿÿÿÿ€€(DEPRESS‚ ‚ÿÿÿÿ€€(TOTSYMP‚ ‚ÿÿÿÿ€€( AI2ComAff2‚ ‚ÿÿÿÿ€€( AI2ExpSea2ŠŽ’–šž¢ŠKv‚_aaaaOv‚xaaS€v‚…aaaaaaaa€€€( InitialHiLo€€(€€(€‚6‚‚‚‚…‚ÿÿÿ‡‚Èx xóÿÿÿŒ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èx óÿÿÿ" Lucida Grande…‚ÿÿÿ‡‚Èhh((óÿÿÿ" Lucida Grande(cont.)$H$x—‚‚PPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPaa€€€( InitialHiLo€€(€€(–€6˜€˜€›€ÿÿÿ€Èx xóÿÿÿŒ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èhh((óÿÿÿ" Lucida Grande(cont.)$H$x­€†€€€(General Linear Model€ËGLM€ØÿÿÿJþÿÿ€€(Notes€ÏGLM€2 ­Ú’Lödddd€ €"€$€ &€€)€€ˆBA÷B10-JUL-2007 07:50:41&€€€( &€€€(&€€€(&€€€(&€€)€(€ 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.&€€€(ÂGLM aicomaff aiexpsea ai2comaf ai2expse aicngca aicnges BY initialh /METHOD = SSTYPE(3) /INTERCEPT = INCLUDE /EMMEANS = TABLES(initialh) /CRITERIA = ALPHA(.05) /DESIGN = initialh . &€€)€ € 0:00:00.00Notes GLM_NotesF€H€J€Øt€€(ContentsH€J€t€€(Output CreatedH€J€t€€(CommentsH€J€t€€(InputH€J€t€€(DataH€J€t€€(FilterH€J€ t€€(WeightH€J€ t€€( Split FileH€J€ t€€(N of Rows in Working Data FileH€J€t€€(Missing Value HandlingH€J€æt€€(Definition of MissingH€J€Õt€€( Cases UsedH€J€ t€€(SyntaxH€J€t€€( ResourcesH€J€ t€€( Elapsed TimeH€J€t€€( ResourcesH€J€ t€€( Elapsed Time ûÿ     # ' / 7  ᎀö uaaaaaŠ–aagg–€€(Notes€€(€€(–€6˜€˜€›€ÿÿÿ€Èx xóÿÿÿŒ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èhh((óÿÿÿ" Lucida Grande(cont.)$H$x­€Ó¯€\ÌÿÿìËÿÿ€€(Between-Subjects Factors€ V GLM€dddd€ €"€$€$€&€€)€(€9@25$€&€€)€(€6@22Between Subjects Factors GLM_Table_BetweenSubjectsFactorsF€H€J€t€€( PropertiesH€J€?t€€( Value LabelH€J€t€€(Nl p F€H€J€þt€€( Factor LevelsH€J€ÿÿÿÿ€€( InitialHiLoH€J€ÿÿÿÿ€)€(€ð?1H€J€ÿÿÿÿ€)€(€@2}  KŽ€g aa\Ž€t aa2€€(Between-Subjects Factors€€(€€(–€6˜€˜€›€ÿÿÿ€Èx xóÿÿÿŒ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èhh((óÿÿÿ" Lucida Grande(cont.)$H$x­€Z ¯€ÊËÿÿèÊÿÿ€€(Multivariate Tests€ ¡ GLM€dddd€ €"€$€$€$€&€€)€(€Ÿ=Àº ï?.970&€€)€(€1(]ø§Èž?.030&€€)€(€«¡ivÒ!@@32.264&€€)€(€«¡ivÒ!@@32.264$€&€€)€(€PÜjËhº¢?.037&€€)€(€!B!F!J!F€H€J€ôt€€(EffectH€J€ÿÿÿÿ€€( InterceptH€J€ÿÿÿÿ€€(INITIALHS!W!F€H€J€,t€€( StatisticsH€J€>t€€(ValueH€J€ýt€€(FH€J€t€€( Hypothesis dfH€J€øt€€(Error dfH€J€%t€€(Sig.`!d!h!l!p!΁Ё€(Design: Intercept+INITIALHÿÿ€$€€(Multivariate Tests΁Ё€(Exact statisticDRpÈ Ì Ð Ô Ù Ý á å KŽ€9!am}ˆˆŽ€N!aaLŽ€[!aadaadw!€€(€€(–€6˜€˜€›€ÿÿÿ€Èx xóÿÿÿŒ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èhh((óÿÿÿ" Lucida Grande(cont.)$H$x­€¥ ¯€{Êÿÿ#ŽÆÿÿ€€(!Tests of Between-Subjects Effects€ ˜!GLM€ô˜@dddd€ €"€$€$€$€&€€$€)€((€šß3éª @3.458&€€$€)€((€ ÷Pò?1.131&€€$€)€((€h§VÝ Ô?.313&€€$€)€((€+€íÍ @8.401&€€$€)€((€“¶V^ û?1.690&€€$€)€((€Ê®S«î @3.367$€&€€)€((€ƒ©rŸúÂ@9717.246&€€)€((€àö]Œ€À@8449.472&€€)€((€b@æ£ñÍÃ@ 10139.888&€€)€((€Û€ñØ­»@7085.847&€€)€((€[y%ÌAþ@4.498&€€)€((€ioÓ,ûM@59.962$€&€€)€((€˜ß3éª @3.458&€€)€((€\ ÷Pò?1.131&€€)€((€ž]§VÝ Ô?.313&€€)€((€+€íÍ @8.401&€€)€((€·“¶V^ û?1.690&€€)€((€Ë®S«î @3.367$€&€€)€((€©é‡š~@{@436.031&€€)€((€бÛ»å{@446.358&€€)€((€袋.º˜@563.091&€€)€((€)w€rè€@541.004&€€)€((€ ×£p="p@258.140&€€)€((€ꢋ.º$‚@580.591$€&€€)€((€öÃ@ 10220.000&€€)€((€€kÁ@8919.000&€€)€((€Å@ 10752.000&€€)€((€Ñœ@7633.000&€€)€((€€p@264.000&€€)€((€0„@646.000$€&€€)€((€ÝšïlÔw{@439.489&€€)€((€ÚšïlÔ÷{@447.489&€€)€((€Õw6ê;›@563.404&€€)€((€Õw6ê;+@549.404&€€)€((€žúÎF=p@259.830&€€)€((€ŽQßÙš?‚@583.957$€$€&€€)€(€ð?1&€€)€(€ð?1&€€)€(€ð?1&€€)€(€ð?1&€€)€(€ð?1&€€)€(€ð?1$€&€€)€(€ð?1&€€)€(€ð?1&€€)€(€ð?1&€€)€(€ð?1&€€)€(€ð?1&€€)€(€ð?1$€&€€)€(€ð?1&€€)€(€ð?1&€€)€(€ð?1&€€)€(€ð?1&€€)€(€ð?1&€€)€(€ð?1$€&€€)€(€€F@45&€€)€(€€F@45&€€)€(€€F@45&€€)€(€€F@45&€€)€(€€F@45&€€)€(€€F@45$€&€€)€(€€G@47&€€)€(€€G@47&€€)€(€€G@47&€€)€(€€G@47&€€)€(€€G@47&€€)€(€€G@47$€&€€)€(€G@46&€€)€(€G@46&€€)€(€G@46&€€)€(€G@46&€€)€(€G@46&€€)€(€G@46$€$€&€€)€((€šß3éª @3.458&€€)€((€ ÷Pò?1.131&€€)€((€h§VÝ Ô?.313&€€)€((€+€íÍ @8.401&€€)€((€“¶V^ û?1.690&€€)€((€Ê®S«î @3.367$€&€€)€((€ƒ©rŸúÂ@9717.246&€€)€((€àö]Œ€À@8449.472&€€)€((€b@æ£ñÍÃ@ 10139.888&€€)€((€Û€ñØ­»@7085.847&€€)€((€[y%ÌAþ@4.498&€€)€((€ioÓ,ûM@59.962$€&€€)€((€˜ß3éª @3.458&€€)€((€\ ÷Pò?1.131&€€)€((€ž]§VÝ Ô?.313&€€)€((€+€íÍ @8.401&€€)€((€·“¶V^ û?1.690&€€)€((€Ë®S«î @3.367$€&€€)€((€ûÍÝa#@9.690&€€)€((€)‹oÖ#@9.919&€€)€((€°çÀ%¹)@12.513&€€)€((€ЁƒMk (@12.022&€€)€((€ÑÖ~ò@5.736&€€)€((€%ˆ—ÕÍ)@12.902$€$€&€€)€(€ÞJgKÜ×Ö?.357&€€)€(€Rg¥ É1œ?.114&€€)€(€³Sas€™?.025&€€)€(€éŠê/\æ?.699&€€)€(€êê,>ÚÒ?.295&€€)€(€ø'Ó(³Ð?.261$€&€€)€(€€â/YØV@1002.856&€€)€(€fbxºžŠ@851.841&€€)€(€ð:£Ó·R‰@810.340&€€)€(€W*d‚"k‚@589.392&€€)€(€ñHU}Ùé?.784&€€)€(€&Ùä' —@4.648$€&€€)€(€¡IgKÜ×Ö?.357&€€)€(€ k¥ É1œ?.114&€€)€(€À¥Sas€™?.025&€€)€(€ ‹ê/\æ?.699&€€)€(€ië,>ÚÒ?.295&€€)€(€™(Ó(³Ð?.261$€$€&€€)€(€Η÷ßì³á?.553&€€)€(€ögÐ–ç?.737&€€)€(€Wì8Åÿë?.875&€€)€(€,GêdqÚ?.408&€€)€(€êi•h'áâ?.590&€€)€(€ÐìXoS•ã?.612$€&€€)€(€5¡Ö†‘G[9.000&€€)€(€ÁU '*`¬9.000&€€)€(€ž@å$ Ä9.000&€€)€(€˜…Šå¹é`:.000&€€)€(€°$ªzh[Ø?.381&€€)€(€€ÕÕÞ­¢?.036$€&€€)€(€B˜÷ßì³á?.553&€€)€(€kgÐ–ç?.737&€€)€(€_ì8Åÿë?.875&€€)€(€GêdqÚ?.408&€€)€(€Þi•h'áâ?.590&€€)€(€’ìXoS•ã?.612&Test of Between Subjects Fixed Effects+GLM_Table_TestofBetweenSubjectsFixedEffectsF€H€J€çt€€(Dependent VariableH€J€ÿÿÿÿ€€( AIComAff1H€J€ÿÿÿÿ€€( AIExpSea1H€J€ÿÿÿÿ€€( AI2ComAff2H€J€ÿÿÿÿ€€( AI2ExpSea2H€J€ÿÿÿÿ€€(AICNGCAH€J€ÿÿÿÿ€€(AICNGESS#W#[#_#c#g#F€H€J€(t€€(SourceH€J€àt€€(Corrected ModelH€J€ÿÿÿÿ€V!H€J€ÿÿÿÿ€€(INITIALHH€J€÷t€€(ErrorH€J€3t€€(TotalH€J€át€€(Corrected Totalp#t#w#{##ƒ#F€H€J€,t€€( StatisticsH€J€;t€€(Type III Sum of SquaresH€J€ît€€(dfH€J€t€€( Mean SquareH€J€ýt€€(FH€J€%t€€(Sig.Œ##”#˜#œ#΁Ё€(-R Squared = .008 (Adjusted R Squared = -.014)€!΁Ё€(-R Squared = .003 (Adjusted R Squared = -.020)(š!΁Ё€(-R Squared = .001 (Adjusted R Squared = -.022)¬!΁Ё€(-R Squared = .015 (Adjusted R Squared = -.007)°!΁Ё€(-R Squared = .007 (Adjusted R Squared = -.016)Ž!΁Ё€(-R Squared = .006 (Adjusted R Squared = -.016)ž!KŽ€N#aaaaaa€Ž€k#|aaaau|Ž€‡#dadaad€€(!Tests of Between-Subjects Effects€€(€€(–€6˜€˜€›€ÿÿÿ€Èx xóÿÿÿŒ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èhh((óÿÿÿ" Lucida Grande(cont.)$H$x­€œ!€€€(Estimated Marginal Means€Ï#€lÆÿÿqSÆÿÿ€€(Title€Ó#GLMòÿÿÿŒLucida 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 }¯€1Æÿÿ“ÂÄÿÿ€€( InitialHiLo€ ×#GLM€dddd€ €"€$€$€$€&€€)€((€[Âõ(\-@14.680&€€)€(€& hrìã?.623&€€)€((€ç ÚO)Ú*@13.426&€€)€((€Ïýª›(Þ/@15.934$€&€€)€((€F]tÑE,@14.136&€€)€(€Šú&¥<å?.664&€€)€((€"ZOr™)@12.800&€€)€((€jÔjæ0ò.@15.473$€$€&€€)€((€Âõ(\*@13.280&€€)€(€ÜvHn(ä?.630&€€)€((€YB —Í(@12.011&€€)€((€ÅBáºê-@14.549$€&€€)€((€/ºè¢‹.+@13.591&€€)€(€@U4¬Š|å?.671&€€)€((€Ÿá Žz(@12.239&€€)€((€ ’0·ùâ-@14.943$€$€&€€)€((€š™™™™™-@14.800&€€)€(€].©£æ?.707&€€)€((€ACŸ¥À*@13.375&€€)€((€úwºF•90@16.225$€&€€)€((€F]tÑE-@14.636&€€)€(€èä¡ä1"è?.754&€€)€((€Ð~<*@13.117&€€)€((€ÞWÙéÄ'0@16.155$€$€&€€)€((€Âõ(\Â'@11.880&€€)€(€¬1qÛ0æ?.693&€€)€((€ ‡Ÿr÷$@10.483&€€)€((€xd“š¬*@13.277$€&€€)€((€tÑE]t)@12.727&€€)€(€‘ÉЧç?.739&€€)€((€™y  z&@11.238&€€)€((€O)kž­n,@14.216$€$€&€€)€((€ž…ëQžŸ¿-.120&€€)€(€ØÛ'9šÞ?.479&€€)€((€‹ì˜M[ñ¿-1.085&€€)€((€h‘Bµ†ë?.845$€&€€)€((€ÿÿÿÿÿÿß¿-.500&€€)€(€¥ÏÃëWà?.511&€€)€((€ö.Âltø¿-1.528&€€)€((€ì]„Ù:éà?.528$€$€&€€)€((€ffffffö?1.400&€€)€(€rýýæ?.718&€€)€((€€âe1š¿ -4.691E-02&€€)€((€Ðîý+wÆ@2.847$€&€€)€((€¢‹.ºè¢ë?.864&€€)€(€®ôÊùvè?.766&€€)€((€Zôz]žå¿-.679&€€)€((€èv4”?@2.406Estimated Marginal Means GLM_Table_EstimatedMarginalMeansF€H€J€,t€€( StatisticsH€J€t€€(MeanH€J€.t€€( Std. ErrorH€J€Öt€€(95% Confidence IntervalH€J€ t€€( Lower BoundH€J€=t€€( Upper Bound‡$‹$“$—$F€H€J€ÿÿÿÿ€€( InitialHiLoH€J€ÿÿÿÿ€)€(€ð?1H€J€ÿÿÿÿ€)€(€@2 $€$F€H€J€çt€€(Dependent VariableH€J€ÿÿÿÿ€€( AIComAff1H€J€ÿÿÿÿ€€( AIExpSea1H€J€ÿÿÿÿ€€( AI2ComAff2H€J€ÿÿÿÿ€€( AI2ExpSea2H€J€ÿÿÿÿ€€(AICNGCAH€J€ÿÿÿÿ€€(AICNGES­$±$µ$¹$œ$Á$KŽ€‚$aaaaOŽ€›$aaS€Ž€š$aaaaaa€€€( InitialHiLo€€(€€(–€6˜€˜€›€ÿÿÿ€Èx xóÿÿÿŒ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èx óÿÿÿ" Lucida Grande›€ÿÿÿ€Èhh((óÿÿÿ" Lucida Grande(cont.)$H$x­€Û#PPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPP