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0:00:00.02+€€.€(€@2+€€.€(€ŕXA174876+€€.€ € 0:00:00.00NotesCrosstabs_Notes˙˙PMPivotItemTree˙˙AbstractTreeBranch˙˙PMModelItemInfo t€€(Contents\€^€t€€(Output Created\€^€t€€(Comments\€^€ t€€(Input\€^€ t€€(Data\€^€€€(Active Dataset\€^€t€€(Filter\€^€t€€(Weight\€^€t€€( Split File\€^€t€€(N of Rows in Working Data File\€^€9 t€€(Missing Value Handling\€^€: t€€(Definition of Missing\€^€ ; t€€( Cases Used\€^€ t€€(Weight Handling\€^€ t€€(Syntax\€^€ t€€( Resources\€^€ t€€( Elapsed Time\€^€ t€€(Dimensions Requested\€^€ t€€(Cells Available\€^€€€(Processor Timebfnrvz~‚ŠŽ’–ž˘ŚŞ á˙˙PVViewDimension[iTKcKKK}‡\rKcgo€€(Notes€€(€€(˙˙ PTTableLook6˙˙PVSeparatorStyle¸€˙˙ PVCellStyle˙˙˙˙˙ PVTextStyleČx xó˙˙˙ź"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čhh((ó˙˙˙"Arial(cont.)$H$x˙˙PVPrintManager"˙˙NavTextźţ˙˙uŤţ˙˙€€(Active Dataset€Đ Crosstabsó˙˙˙"Courier Newr New†'{\rtf1\ansi\deff0{\fonttbl{\f0\fswiss\fprq2\fcharset0 Courier New;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\cf1\lang1033\f0\fs20 [DataSet2] C:\\Documents and Settings\\teacher.BOM-123-MMCRTES\\Local Settings\\Temporary Internet Files\\Content.IE5\\2OGKL3XD\\GOALS[1].sav\par } ˙˙NavPivot‰ţ˙˙Nţ˙˙€€(Case Processing Summary€ Ő Crosstabs!€dddd#€%€'€)€)€)€+€€.€(€ŕ}@478)€+€€.€(€Y@100.0%)€)€+€€.€(€0)€+€€.€(€.0%)€)€+€€.€(€ŕ}@478)€+€€.€(€Y@100.0%Case Processing Summary%Crosstabs_Table_CaseProcessingSummaryZ€\€^€% t€€(Crosstabulation\€^€€€( goals * urbanţZ€\€^€ t€€( Statistics\€^€ t€€(N\€^€ t€€(Percent Z€\€^€ t€€(Cases\€^€ t€€(Valid\€^€ t€€(Missing\€^€. t€€(TotalKŽ€ů``Ž€KK?Ž€KKK@€€(Case Processing Summary€€(€€(ś€6¸€¸€ť€˙˙˙˝€Čx xó˙˙˙ź"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čhh((ó˙˙˙"Arial(cont.)$H$x̀ŮԀíý˙˙Ë:ý˙˙€€(goals * urban Crosstabulation€ = Crosstabs!€dddd#€%€'€)€)€)€+€€.€(€€L@57+€€.€(€I@50+€€.€(€E@42+€€.€(€ b@149)€+€€.€(€ŔU@87+€€.€(€E@42+€€.€(€6@22+€€.€(€ŕb@151)€+€€.€(€ŔY@103+€€.€(€€H@49+€€.€(€:@26+€€.€(€@f@178)€+€€.€(€ŕn@247+€€.€(€ a@141+€€.€(€€V@90+€€.€(€ŕ}@478CrosstabulationCrosstabs_Table_CrosstabulationZ€\€^€˙˙˙˙€€(goals\€^€˙˙˙˙€€(goals\€^€˙˙˙˙€€(Grades \€^€˙˙˙˙€€(Popular \€^€˙˙˙˙€€(Sports \€^€. t€€(Total„ˆŒZ€\€^€˙˙˙˙€€(urban\€^€˙˙˙˙€€(urban\€^€˙˙˙˙€€(Rural \€^€˙˙˙˙€€(Suburban\€^€˙˙˙˙€€(Urban \€^€. t€€(TotalĄĽŠZ€\€^€ t€€( Statistics\€^€/ t€€(Count˛KŽ€{KKKK@Ž€”KKKKKŽ€­K5€€(goals * urban Crosstabulation€€(€€(ś€6¸€¸€ť€˙˙˙˝€Čx xó˙˙˙ź"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čhh((ó˙˙˙"Arial(cont.)$H$x̀AԀý˙˙¨hü˙˙€€(Chi-Square Tests€ Ó Crosstabs!€dddd#€%€'€)€)€+€€)€.€(€ľg3OßÓ2@18.828+€€.€(€_ă‚’2@18.571+€€.€(€ŕ}@478)€+€€.€(€@4+€€.€(€@4)€+€€.€(€śâ”l×K?.001+€€.€(€ăŔťŻDO?.001Chi Square TestsCrosstabs_Table_ChiSquareTestsZ€\€^€ t€€( Statistics\€^€ t€€(Pearson Chi-Square\€^€ t€€(Continuity Correction\€^€! t€€(Likelihood Ratio\€^€" t€€(Linear-by-Linear Association\€^€< t€€(N of Valid Casesúţ Z€\€^€ t€€(Values\€^€ t€€(Value\€^€ t€€(df\€^€( t€€(Asymp. Sig. (2-sided)˙˙ DspAnnotation˙˙DspTextComponentHandle€(S0 cells (.0%) have expected count less than 5. The minimum expected count is 28.05.€ŢKŽ€ő‰ŠpzsŠŽ€KK\\€€(Chi-Square Tests€€(€€(ś€6¸€¸€ť€˙˙˙˝€Čx xó˙˙˙ź"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čhh((ó˙˙˙"Arial(cont.)$H$x̀×€Fü˙˙łůú˙˙€€(Log€@ "Courier Newr NewPą{\rtf1\ansi\deff0{\fonttbl{\f0\fswiss\fprq2\fcharset0 Courier New;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\cf1\lang1033\f0\fs20 >Warning # 208 in column 3. Text: Suburban))\par >A text string is not correctly enclosed in quotation marks on the command\par >line. Literals may not be continued across command lines without the use\par >of the continuation symbol '+'.\par \par USE ALL.\par COMPUTE filter_$=((goals = "Grades" or goals ="Popular") and (Urban = "Rura"+\par "l" or Urban = "Suburban")).\par VARIABLE LABEL filter_$ '(goals = "Grades" or goals ="Popular") and (Urban '+\par '= "Rural" or Urban = "Suburban") (FILTER)'.\par VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'.\par FORMAT filter_$ (f1.0).\par FILTER BY filter_$.\par EXECUTE .\par CROSSTABS\par /TABLES=goals BY urban\par /FORMAT= AVALUE TABLES\par /STATISTIC=CHISQ\par /CELLS= COUNT\par /COUNT ROUND CELL .\par } €€€( Crosstabs€D Crosstabs€×ú˙˙Ŕú˙˙€€(Title€H Crosstabsí˙˙˙ź"ArialalPŸ{\rtf1\ansi\deff0{\fonttbl{\f0\fswiss\fprq2\fcharset0 Arial;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\cf1\lang1033\b\f0\fs28 Crosstabs\par } €ľý˙˙€€(Notes€L Crosstabs!€dddd#€%€'€)€+€€.€€—{hr B13-MAR-2008 17:06:23+€€€( +€€€(˙˙C:\Documents and Settings\teacher.BOM-123-MMCRTES\Local Settings\Temporary Internet Files\Content.IE5\2OGKL3XD\GOALS[1].sav +€€€(@DataSet2 +€€€([(goals = "Grades" or goals ="Popular") and (Urban = "Rural" or Urban = "Suburban") (FILTER)+€€€(+€€€(+€€.€(€€m@236+€€€(3User-defined missing values are treated as missing.+€€€(Statistics for each table are based on all the cases with valid data in the specified range(s) for all variables in each table.+€€€(vCROSSTABS /TABLES=goals BY urban /FORMAT= AVALUE TABLES /STATISTIC=CHISQ /CELLS= COUNT /COUNT ROUND CELL . +€€.€ €œÄ °rh‘? 0:00:00.02+€€.€(€@2+€€.€(€ŕXA174876+€€.€ €X9´ČvžŸ? 0:00:00.03NotesCrosstabs_NotesZ€\€^€ t€€(Contents\€^€t€€(Output Created\€^€t€€(Comments\€^€ t€€(Input\€^€ t€€(Data\€^€€€(Active Dataset\€^€t€€(Filter\€^€t€€(Weight\€^€t€€( Split File\€^€t€€(N of Rows in Working Data File\€^€9 t€€(Missing Value Handling\€^€: t€€(Definition of Missing\€^€ ; t€€( Cases Used\€^€ t€€(Weight Handling\€^€ t€€(Syntax\€^€ t€€( Resources\€^€ t€€( Elapsed Time\€^€ t€€(Dimensions Requested\€^€ t€€(Cells Available\€^€€€(Processor Time‡‹“—›ŸŁ§ŻłˇťĂÇËĎ áŽ€‚iTKcKKK}‡\rKcgo€€(Notes€€(€€(ś€6¸€¸€ť€˙˙˙˝€Čx xó˙˙˙ź"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čhh((ó˙˙˙"Arial(cont.)$H$x̀Pπžú˙˙uú˙˙€€(Active Dataset€î Crosstabsó˙˙˙"Courier Newr New†'{\rtf1\ansi\deff0{\fonttbl{\f0\fswiss\fprq2\fcharset0 Courier New;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\cf1\lang1033\f0\fs20 [DataSet2] C:\\Documents and Settings\\teacher.BOM-123-MMCRTES\\Local Settings\\Temporary Internet Files\\Content.IE5\\2OGKL3XD\\GOALS[1].sav\par } Ԁkú˙˙Nńů˙˙€€(Case Processing Summary€ ň Crosstabs!€dddd#€%€'€)€)€)€+€€.€(€€m@236)€+€€.€(€Y@100.0%)€)€+€€.€(€0)€+€€.€(€.0%)€)€+€€.€(€€m@236)€+€€.€(€Y@100.0%Case Processing Summary%Crosstabs_Table_CaseProcessingSummaryZ€\€^€% t€€(Crosstabulation\€^€€€( goals * urbanZ€\€^€ t€€( Statistics\€^€ t€€(N\€^€ t€€(Percent$(Z€\€^€ t€€(Cases\€^€ t€€(Valid\€^€ t€€(Missing\€^€. t€€(Total159KŽ€``Ž€KK?Ž€,KKK@€€(Case Processing Summary€€(€€(ś€6¸€¸€ť€˙˙˙˝€Čx xó˙˙˙ź"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čhh((ó˙˙˙"Arial(cont.)$H$x̀öԀĎů˙˙€/ů˙˙€€(goals * urban Crosstabulation€ Z Crosstabs!€dddd#€%€'€)€)€)€+€€.€(€€L@57+€€.€(€I@50+€€.€(€ŔZ@107)€+€€.€(€ŔU@87+€€.€(€E@42+€€.€(€ `@129)€+€€.€(€b@144+€€.€(€W@92+€€.€(€€m@236CrosstabulationCrosstabs_Table_CrosstabulationZ€\€^€˙˙˙˙€€(goals\€^€˙˙˙˙€€(goals\€^€˙˙˙˙€€(Grades \€^€˙˙˙˙€€(Popular \€^€. t€€(Total‹“Z€\€^€˙˙˙˙€€(urban\€^€˙˙˙˙€€(urban\€^€˙˙˙˙€€(Rural \€^€˙˙˙˙€€(Suburban\€^€. t€€(Total ¤¨Z€\€^€ t€€( Statistics\€^€/ t€€(CountąKŽ€‚KKK@Ž€—KKKKŽ€ŹK5€€(goals * urban Crosstabulation€€(€€(ś€6¸€¸€ť€˙˙˙˝€Čx xó˙˙˙ź"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čhh((ó˙˙˙"Arial(cont.)$H$x̀^Ԁ ů˙˙D!ř˙˙€€(Chi-Square Tests€ Ň Crosstabs!€dddd#€%€'€)€)€+€€)€.€(€ŇŔ°ţ7Ŕ@4.938+€€.€(€ř›ŸŽp@4.360+€€.€(€Čy]?Á@4.939+€€.€(€€m@236)€+€€.€(€đ?1+€€.€(€đ?1+€€.€(€đ?1)€+€€.€(€jĂjiLčš?.026+€€.€(€ GŢĽÖ˘?.037+€€.€(€݌áŽKäš?.026)€+€€.€(€Iɣӑ` ?.032)€+€€.€(€ĄŢßdג?.018Chi Square TestsCrosstabs_Table_ChiSquareTestsZ€\€^€ t€€( Statistics\€^€ t€€(Pearson Chi-Square\€^€ t€)€€(Continuity Correction\€^€! t€€(Likelihood Ratio\€^€$ t€€(Fisher's Exact Test\€^€" t€€(Linear-by-Linear Association\€^€< t€€(N of Valid Cases Z€\€^€ t€€(Values\€^€ t€€(Value\€^€ t€€(df\€^€( t€€(Asymp. Sig. (2-sided)\€^€) t€€(Exact Sig. (2-sided)\€^€* t€€(Exact Sig. (1-sided)(,048‚!‚€(S0 cells (.0%) have expected count less than 5. The minimum expected count is 41.71.!Ý‚!‚€(Computed only for a 2x2 table onlKŽ€‰Šp~zsŠŽ€#KK\NN\€€(Chi-Square Tests€€(€€(ś€6¸€¸€ť€˙˙˙˝€Čx xó˙˙˙ź"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čhh((ó˙˙˙"Arial(cont.)$H$x̀Ö€˙÷˙˙łz÷˙˙€€(Log€^ "Courier Newr NewPD{\rtf1\ansi\deff0{\fonttbl{\f0\fswiss\fprq2\fcharset0 Courier New;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\cf1\lang1033\f0\fs20 SPLIT FILE\par OFF.\par CROSSTABS\par /TABLES=goals BY urban\par /FORMAT= AVALUE TABLES\par /STATISTIC=CHISQ\par /CELLS= COUNT\par /COUNT ROUND CELL .\par } €€€( Crosstabs€b Crosstabs€X÷˙˙A÷˙˙€€(Title€f Crosstabsí˙˙˙ź"ArialalPŸ{\rtf1\ansi\deff0{\fonttbl{\f0\fswiss\fprq2\fcharset0 Arial;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\cf1\lang1033\b\f0\fs28 Crosstabs\par } €ľý˙˙€€(Notes€j Crosstabs!€dddd#€%€'€)€+€€.€€‹lur B13-MAR-2008 17:19:42+€€€( +€€€(˙˙C:\Documents and Settings\teacher.BOM-123-MMCRTES\Local Settings\Temporary Internet Files\Content.IE5\2OGKL3XD\GOALS[1].sav +€€€(@DataSet2 +€€€([(goals = "Grades" or goals ="Popular") and (Urban = "Rural" or Urban = "Suburban") (FILTER)+€€€(+€€€(+€€.€(€€m@236+€€€(3User-defined missing values are treated as missing.+€€€(Statistics for each table are based on all the cases with valid data in the specified range(s) for all variables in each table.+€€€(vCROSSTABS /TABLES=goals BY urban /FORMAT= AVALUE TABLES /STATISTIC=CHISQ /CELLS= COUNT /COUNT ROUND CELL . +€€.€ €œÄ °rh‘? 0:00:00.02+€€.€(€@2+€€.€(€ŕXA174876+€€.€ €üŠńŇMb? 0:00:00.02NotesCrosstabs_NotesZ€\€^€ t€€(Contents\€^€t€€(Output Created\€^€t€€(Comments\€^€ t€€(Input\€^€ t€€(Data\€^€€€(Active Dataset\€^€t€€(Filter\€^€t€€(Weight\€^€t€€( Split File\€^€t€€(N of Rows in Working Data File\€^€9 t€€(Missing Value Handling\€^€: t€€(Definition of Missing\€^€ ; t€€( Cases Used\€^€ t€€(Weight Handling\€^€ t€€(Syntax\€^€ t€€( Resources\€^€ t€€( Elapsed Time\€^€ t€€(Dimensions Requested\€^€ t€€(Cells Available\€^€€€(Processor TimeĽŠąľš˝ÁĹÍŃŐŮáĺéí ᎀ iTKcKKK}‡\rKcgo€€(Notes€€(€€(ś€6¸€¸€ť€˙˙˙˝€Čx xó˙˙˙ź"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čhh((ó˙˙˙"Arial(cont.)$H$x̀nπ÷˙˙u÷˙˙€€(Active Dataset€  Crosstabsó˙˙˙"Courier Newr New†'{\rtf1\ansi\deff0{\fonttbl{\f0\fswiss\fprq2\fcharset0 Courier New;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\cf1\lang1033\f0\fs20 [DataSet2] C:\\Documents and Settings\\teacher.BOM-123-MMCRTES\\Local Settings\\Temporary Internet Files\\Content.IE5\\2OGKL3XD\\GOALS[1].sav\par } Ԁěö˙˙Nrö˙˙€€(Case Processing Summary€  Crosstabs!€dddd#€%€'€)€)€)€+€€.€(€€m@236)€+€€.€(€Y@100.0%)€)€+€€.€(€0)€+€€.€(€.0%)€)€+€€.€(€€m@236)€+€€.€(€Y@100.0%Case Processing Summary%Crosstabs_Table_CaseProcessingSummaryZ€\€^€% t€€(Crosstabulation\€^€€€( goals * urban9Z€\€^€ t€€( Statistics\€^€ t€€(N\€^€ t€€(PercentBFZ€\€^€ t€€(Cases\€^€ t€€(Valid\€^€ t€€(Missing\€^€. t€€(TotalOSWKŽ€4``Ž€=KK?Ž€JKKK@€€(Case Processing Summary€€(€€(ś€6¸€¸€ť€˙˙˙˝€Čx xó˙˙˙ź"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čhh((ó˙˙˙"Arial(cont.)$H$x̀ԀPö˙˙€°ő˙˙€€(goals * urban Crosstabulation€ x Crosstabs!€dddd#€%€'€)€)€)€+€€.€(€€L@57+€€.€(€I@50+€€.€(€ŔZ@107)€+€€.€(€ŔU@87+€€.€(€E@42+€€.€(€ `@129)€+€€.€(€b@144+€€.€(€W@92+€€.€(€€m@236CrosstabulationCrosstabs_Table_CrosstabulationZ€\€^€˙˙˙˙€€(goals\€^€˙˙˙˙€€(goals\€^€˙˙˙˙€€(Grades \€^€˙˙˙˙€€(Popular \€^€. t€€(TotalŠ­ąZ€\€^€˙˙˙˙€€(urban\€^€˙˙˙˙€€(urban\€^€˙˙˙˙€€(Rural \€^€˙˙˙˙€€(Suburban\€^€. t€€(TotalžÂĆZ€\€^€ t€€( Statistics\€^€/ t€€(CountĎKŽ€ KKK@Ž€ľKKKKŽ€ĘK5€€(goals * urban Crosstabulation€€(€€(ś€6¸€¸€ť€˙˙˙˝€Čx xó˙˙˙ź"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čhh((ó˙˙˙"Arial(cont.)$H$x̀|ԀŽő˙˙D˘ô˙˙€€(Chi-Square Tests€ đ Crosstabs!€dddd#€%€'€)€)€+€€)€.€(€ŇŔ°ţ7Ŕ@4.938+€€.€(€ř›ŸŽp@4.360+€€.€(€Čy]?Á@4.939+€€.€(€€m@236)€+€€.€(€đ?1+€€.€(€đ?1+€€.€(€đ?1)€+€€.€(€jĂjiLčš?.026+€€.€(€ GŢĽÖ˘?.037+€€.€(€݌áŽKäš?.026)€+€€.€(€Iɣӑ` ?.032)€+€€.€(€ĄŢßdג?.018Chi Square TestsCrosstabs_Table_ChiSquareTestsZ€\€^€ t€€( Statistics\€^€ t€€(Pearson Chi-Square\€^€ t€)€€(Continuity Correction\€^€! t€€(Likelihood Ratio\€^€$ t€€(Fisher's Exact Test\€^€" t€€(Linear-by-Linear Association\€^€< t€€(N of Valid Cases(,159=Z€\€^€ t€€(Values\€^€ t€€(Value\€^€ t€€(df\€^€( t€€(Asymp. Sig. (2-sided)\€^€) t€€(Exact Sig. (2-sided)\€^€* t€€(Exact Sig. (1-sided)FJNRV‚!‚€(S0 cells (.0%) have expected count less than 5. The minimum expected count is 41.71.@ű‚!‚€(Computed only for a 2x2 tabletabl.KŽ€#‰Šp~zsŠŽ€AKK\NN\€€(Chi-Square Tests€€(€€(ś€6¸€¸€ť€˙˙˙˝€Čx xó˙˙˙ź"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čhh((ó˙˙˙"Arial(cont.)$H$x̀ô€€ô˙˙łęó˙˙€€(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 FILTER OFF.\par USE ALL.\par EXECUTE .\par CROSSTABS\par /TABLES=goals BY urban\par /FORMAT= AVALUE TABLES\par /STATISTIC=CHISQ\par /CELLS= COUNT COLUMN\par /COUNT ROUND CELL .\par } €€€( Crosstabs€€ Crosstabs€Čó˙˙ąó˙˙€€(Title€„ Crosstabsí˙˙˙ź"ArialalPŸ{\rtf1\ansi\deff0{\fonttbl{\f0\fswiss\fprq2\fcharset0 Arial;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\cf1\lang1033\b\f0\fs28 Crosstabs\par } €Őý˙˙€€(Notes€ˆ Crosstabs!€dddd#€%€'€)€+€€.€€\š‚r B13-MAR-2008 17:20:19+€€€( +€€€(˙˙C:\Documents and Settings\teacher.BOM-123-MMCRTES\Local Settings\Temporary Internet Files\Content.IE5\2OGKL3XD\GOALS[1].sav +€€€(@DataSet2 +€€€(+€€€(+€€€(+€€.€(€ŕ}@478+€€€(3User-defined missing values are treated as missing.+€€€(Statistics for each table are based on all the cases with valid data in the specified range(s) for all variables in each table.+€€€(}CROSSTABS /TABLES=goals BY urban /FORMAT= AVALUE TABLES /STATISTIC=CHISQ /CELLS= COUNT COLUMN /COUNT ROUND CELL . +€€.€ € 0:00:00.00+€€.€(€@2+€€.€(€ŕXA174876+€€.€ € 0:00:00.00NotesCrosstabs_NotesZ€\€^€ t€€(Contents\€^€t€€(Output Created\€^€t€€(Comments\€^€ t€€(Input\€^€ t€€(Data\€^€€€(Active Dataset\€^€t€€(Filter\€^€t€€(Weight\€^€t€€( Split File\€^€t€€(N of Rows in Working Data File\€^€9 t€€(Missing Value Handling\€^€: t€€(Definition of Missing\€^€ ; t€€( Cases Used\€^€ t€€(Weight Handling\€^€ t€€(Syntax\€^€ t€€( Resources\€^€ t€€( Elapsed Time\€^€ t€€(Dimensions Requested\€^€ t€€(Cells Available\€^€€€(Processor TimeĂÇĎÓ×Űßăëďó÷˙  ᎀžiTKcKKK}‡\rKcgo€€(Notes€€(€€(ś€6¸€¸€ť€˙˙˙˝€Čx xó˙˙˙ź"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čhh((ó˙˙˙"Arial(cont.)$H$x̀Œπó˙˙u~ó˙˙€€(Active Dataset€* Crosstabsó˙˙˙"Courier Newr New†'{\rtf1\ansi\deff0{\fonttbl{\f0\fswiss\fprq2\fcharset0 Courier New;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\cf1\lang1033\f0\fs20 [DataSet2] C:\\Documents and Settings\\teacher.BOM-123-MMCRTES\\Local Settings\\Temporary Internet Files\\Content.IE5\\2OGKL3XD\\GOALS[1].sav\par } Ԁ\ó˙˙Nâň˙˙€€(Case Processing Summary€ . Crosstabs!€dddd#€%€'€)€)€)€+€€.€(€ŕ}@478)€+€€.€(€Y@100.0%)€)€+€€.€(€0)€+€€.€(€.0%)€)€+€€.€(€ŕ}@478)€+€€.€(€Y@100.0%Case Processing Summary%Crosstabs_Table_CaseProcessingSummaryZ€\€^€% t€€(Crosstabulation\€^€€€( goals * urbanWZ€\€^€ t€€( Statistics\€^€ t€€(N\€^€ t€€(Percent`dZ€\€^€ t€€(Cases\€^€ t€€(Valid\€^€ t€€(Missing\€^€. t€€(TotalmquKŽ€R``Ž€[KK?Ž€hKKK@€€(Case Processing Summary€€(€€(ś€6¸€¸€ť€˙˙˙˝€Čx xó˙˙˙ź"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čhh((ó˙˙˙"Arial(cont.)$H$x̀2ԀŔň˙˙2Ôń˙˙€€(goals * urban Crosstabulation€ – Crosstabs!€dddd#€%€'€)€)€)€+€€.€(€€L@57+€€.€(€I@50+€€.€(€E@42+€€.€(€ b@149)€+€€.€(€ŔU@87+€€.€(€E@42+€€.€(€6@22+€€.€(€ŕb@151)€+€€.€(€ŔY@103+€€.€(€€H@49+€€.€(€:@26+€€.€(€@f@178)€+€€.€(€ŕn@247+€€.€(€ a@141+€€.€(€€V@90+€€.€(€ŕ}@478)€)€+€€.€(€s‰đ¤ C@38.3%+€€.€(€ömŔPMÇ@@33.6%+€€.€(€Ú=l}0<@28.2%+€€.€(€Y@100.0%)€+€€.€(€V;ŤŐÎL@57.6%+€€.€(€BĄ‡Đ;@27.8%+€€.€(€iŽ4Gš#-@14.6%+€€.€(€Y@100.0%)€+€€.€(€_÷ş×˝îL@57.9%+€€.€(€˜Ăć0‡;@27.5%+€€.€(€S›ÚÔŚ6-@14.6%+€€.€(€Y@100.0%)€+€€.€(€Ű L×9ÖI@51.7%+€€.€(€Ĺ8ĺv=@29.5%+€€.€(€4!/lÔ2@18.8%+€€.€(€Y@100.0%CrosstabulationCrosstabs_Table_CrosstabulationZ€\€^€˙˙˙˙€€(goals\€^€˙˙˙˙€€(goals\€^€˙˙˙˙€€(Grades \€^€˙˙˙˙€€(Popular \€^€˙˙˙˙€€(Sports \€^€. t€€(TotalZ€\€^€˙˙˙˙€€(urban\€^€˙˙˙˙€€(urban\€^€˙˙˙˙€€(Rural \€^€˙˙˙˙€€(Suburban\€^€˙˙˙˙€€(Urban \€^€. t€€(Total+/37Z€\€^€ t€€( Statistics\€^€/ t€€(Count\€^€1 t€€(% within urban@DKŽ€ KKKK@Ž€"KKKKKŽ€;Kgg€€(goals * urban Crosstabulation€€(€€(ś€6¸€¸€ť€˙˙˙˝€Čx xó˙˙˙ź"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čhh((ó˙˙˙"Arial(cont.)$H$x̀šԀ˛ń˙˙¨ń˙˙€€(Chi-Square Tests€ e Crosstabs!€dddd#€%€'€)€)€+€€)€.€(€ľg3OßÓ2@18.828+€€.€(€_ă‚’2@18.571+€€.€(€ŕ}@478)€+€€.€(€@4+€€.€(€@4)€+€€.€(€śâ”l×K?.001+€€.€(€ăŔťŻDO?.001Chi Square TestsCrosstabs_Table_ChiSquareTestsZ€\€^€ t€€( Statistics\€^€ t€€(Pearson Chi-Square\€^€ t€€(Continuity Correction\€^€! t€€(Likelihood Ratio\€^€" t€€(Linear-by-Linear Association\€^€< t€€(N of Valid CasesŒ”˜œZ€\€^€ t€€(Values\€^€ t€€(Value\€^€ t€€(df\€^€( t€€(Asymp. Sig. (2-sided)ĽŠ­‚!‚€(S0 cells (.0%) have expected count less than 5. The minimum expected count is 28.05.0pKŽ€‡‰ŠpzsŠŽ€ KK\\€€(Chi-Square Tests€€(€€(ś€6¸€¸€ť€˙˙˙˝€Čx xó˙˙˙ź"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čhh((ó˙˙˙"Arial(cont.)$H$x̀i€ŕđ˙˙ł|đ˙˙€€(Log€Đ "Courier Newr NewP.{\rtf1\ansi\deff0{\fonttbl{\f0\fswiss\fprq2\fcharset0 Courier New;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\cf1\lang1033\f0\fs20 CROSSTABS\par /TABLES=goals BY urban\par /FORMAT= AVALUE TABLES\par /STATISTIC=CHISQ\par /CELLS= COUNT TOTAL\par /COUNT ROUND CELL .\par } €€€( Crosstabs€Ô Crosstabs€Zđ˙˙Cđ˙˙€€(Title€Ř Crosstabsí˙˙˙ź"ArialalPŸ{\rtf1\ansi\deff0{\fonttbl{\f0\fswiss\fprq2\fcharset0 Arial;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\cf1\lang1033\b\f0\fs28 Crosstabs\par } €Őý˙˙€€(Notes€Ü Crosstabs!€dddd#€%€'€)€+€€.€€Xź†r B13-MAR-2008 17:22:31+€€€( +€€€(˙˙C:\Documents and Settings\teacher.BOM-123-MMCRTES\Local Settings\Temporary Internet Files\Content.IE5\2OGKL3XD\GOALS[1].sav +€€€(@DataSet2 +€€€(+€€€(+€€€(+€€.€(€ŕ}@478+€€€(3User-defined missing values are treated as missing.+€€€(Statistics for each table are based on all the cases with valid data in the specified range(s) for all variables in each table.+€€€(|CROSSTABS /TABLES=goals BY urban /FORMAT= AVALUE TABLES /STATISTIC=CHISQ /CELLS= COUNT TOTAL /COUNT ROUND CELL . +€€.€ € 0:00:00.00+€€.€(€@2+€€.€(€ŕXA174876+€€.€ € 0:00:00.00NotesCrosstabs_NotesZ€\€^€ t€€(Contents\€^€t€€(Output Created\€^€t€€(Comments\€^€ t€€(Input\€^€ t€€(Data\€^€€€(Active Dataset\€^€t€€(Filter\€^€t€€(Weight\€^€t€€( Split File\€^€t€€(N of Rows in Working Data File\€^€9 t€€(Missing Value Handling\€^€: t€€(Definition of Missing\€^€ ; t€€( Cases Used\€^€ t€€(Weight Handling\€^€ t€€(Syntax\€^€ t€€( Resources\€^€ t€€( Elapsed Time\€^€ t€€(Dimensions Requested\€^€ t€€(Cells Available\€^€€€(Processor Time  # ' + / 3 7 ? C G K S W [ _  ᎀ iTKcKKK}‡\rKcgo€€(Notes€€(€€(ś€6¸€¸€ť€˙˙˙˝€Čx xó˙˙˙ź"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čhh((ó˙˙˙"Arial(cont.)$H$x̀ŕπ!đ˙˙uđ˙˙€€(Active Dataset€~  Crosstabsó˙˙˙"Courier Newr New†'{\rtf1\ansi\deff0{\fonttbl{\f0\fswiss\fprq2\fcharset0 Courier New;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\cf1\lang1033\f0\fs20 [DataSet2] C:\\Documents and Settings\\teacher.BOM-123-MMCRTES\\Local Settings\\Temporary Internet Files\\Content.IE5\\2OGKL3XD\\GOALS[1].sav\par } Ԁîď˙˙Ntď˙˙€€(Case Processing Summary€ ‚  Crosstabs!€dddd#€%€'€)€)€)€+€€.€(€ŕ}@478)€+€€.€(€Y@100.0%)€)€+€€.€(€0)€+€€.€(€.0%)€)€+€€.€(€ŕ}@478)€+€€.€(€Y@100.0%Case Processing Summary%Crosstabs_Table_CaseProcessingSummaryZ€\€^€% t€€(Crosstabulation\€^€€€( goals * urbanŤ Z€\€^€ t€€( Statistics\€^€ t€€(N\€^€ t€€(Percent´ ¸ Z€\€^€ t€€(Cases\€^€ t€€(Valid\€^€ t€€(Missing\€^€. t€€(TotalÁ Ĺ É KŽ€Ś ``Ž€Ż KK?Ž€ź KKK@€€(Case Processing Summary€€(€€(ś€6¸€¸€ť€˙˙˙˝€Čx xó˙˙˙ź"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čhh((ó˙˙˙"Arial(cont.)$H$x̀† ԀRď˙˙fî˙˙€€(goals * urban Crosstabulation€ ę  Crosstabs!€dddd#€%€'€)€)€)€+€€.€(€€L@57+€€.€(€I@50+€€.€(€E@42+€€.€(€ b@149)€+€€.€(€ŔU@87+€€.€(€E@42+€€.€(€6@22+€€.€(€ŕb@151)€+€€.€(€ŔY@103+€€.€(€€H@49+€€.€(€:@26+€€.€(€@f@178)€+€€.€(€ŕn@247+€€.€(€ a@141+€€.€(€€V@90+€€.€(€ŕ}@478)€)€+€€.€(€Tn÷wpŮ'@11.9%+€€.€(€WAmŚë$@10.5%+€€.€(€í =Šž’!@8.8%+€€.€(€ĚŢГę+?@31.2%)€+€€.€(€‘ś j32@18.2%+€€.€(€í =Šž’!@8.8%+€€.€(€Ç‰€řh@4.6%+€€.€(€9ĺv—?@31.6%)€+€€.€(€űJćgQŒ5@21.5%+€€.€(€ę:lj€$@10.3%+€€.€(€1NšÝßÁ@5.4%+€€.€(€ţ\ö†žB@37.2%)€+€€.€(€Ű L×9ÖI@51.7%+€€.€(€Ĺ8ĺv=@29.5%+€€.€(€4!/lÔ2@18.8%+€€.€(€Y@100.0%CrosstabulationCrosstabs_Table_CrosstabulationZ€\€^€˙˙˙˙€€(goals\€^€˙˙˙˙€€(goals\€^€˙˙˙˙€€(Grades \€^€˙˙˙˙€€(Popular \€^€˙˙˙˙€€(Sports \€^€. t€€(Totalf j n r Z€\€^€˙˙˙˙€€(urban\€^€˙˙˙˙€€(urban\€^€˙˙˙˙€€(Rural \€^€˙˙˙˙€€(Suburban\€^€˙˙˙˙€€(Urban \€^€. t€€(Total ƒ ‡ ‹ Z€\€^€ t€€( Statistics\€^€/ t€€(Count\€^€2 t€€( % of Total” ˜ KŽ€] KKKK@Ž€v KKKKKŽ€ KKK€€(goals * urban Crosstabulation€€(€€(ś€6¸€¸€ť€˙˙˙˝€Čx xó˙˙˙ź"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čhh((ó˙˙˙"Arial(cont.)$H$x̀î ԀDî˙˙¨”í˙˙€€(Chi-Square Tests€ š  Crosstabs!€dddd#€%€'€)€)€+€€)€.€(€ľg3OßÓ2@18.828+€€.€(€_ă‚’2@18.571+€€.€(€ŕ}@478)€+€€.€(€@4+€€.€(€@4)€+€€.€(€śâ”l×K?.001+€€.€(€ăŔťŻDO?.001Chi Square TestsCrosstabs_Table_ChiSquareTestsZ€\€^€ t€€( Statistics\€^€ t€€(Pearson Chi-Square\€^€ t€€(Continuity Correction\€^€! t€€(Likelihood Ratio\€^€" t€€(Linear-by-Linear Association\€^€< t€€(N of Valid Casesŕ ä č ě đ Z€\€^€ t€€(Values\€^€ t€€(Value\€^€ t€€(df\€^€( t€€(Asymp. Sig. (2-sided)ů ý  ‚!‚€(S0 cells (.0%) have expected count less than 5. The minimum expected count is 28.05.!Ä KŽ€Ű ‰ŠpzsŠŽ€ô KK\\€€(Chi-Square Tests€€(€€(ś€6¸€¸€ť€˙˙˙˝€Čx xó˙˙˙ź"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čhh((ó˙˙˙"Arial(cont.)$H$x̀˝ €rí˙˙łŞě˙˙€€(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 DATASET ACTIVATE DataSet1.\par GET\par FILE='\\\\Asfs1.asnet.ua-net.ua.edu\\share\\declab\\000 PY602\\Class data sets\\'+\par 'Mel.sav'.\par DATASET NAME DataSet3 WINDOW=FRONT.\par UNIANOVA\par Experience BY Union Sex\par /METHOD = SSTYPE(3)\par /INTERCEPT = INCLUDE\par /EMMEANS = TABLES(Union*Sex)\par /CRITERIA = ALPHA(.05)\par /DESIGN = Union Sex Union*Sex .\par } €€€(Univariate Analysis of Variance€( UNIANOVA€ţ˙˙€€(Notes€, UNIANOVA!€dddd#€%€'€)€+€€.€€śółĆr B13-MAR-2008 17:56:38+€€€( +€€€(˙˙\\Asfs1.asnet.ua-net.ua.edu\share\declab\000 PY602\Class data sets\Mel.sav +€€€(@DataSet3 +€€€(+€€€(+€€€(+€€.€(€°€@534+€€€(3User-defined missing values are treated as missing.+€€€(QStatistics are based on all cases with valid data for all variables in the model.+€€€(ŤUNIANOVA Experience BY Union Sex /METHOD = SSTYPE(3) /INTERCEPT = INCLUDE /EMMEANS = TABLES(Union*Sex) /CRITERIA = ALPHA(.05) /DESIGN = Union Sex Union*Sex . +€€.€ €œÄ °rh‘? 0:00:00.02+€€.€ € 0:00:00.00NotesUNIANOVA_NotesZ€\€^€Řt€€(Contents\€^€t€€(Output Created\€^€t€€(Comments\€^€ t€€(Input\€^€ t€€(Data\€^€€€(Active Dataset\€^€t€€(Filter\€^€t€€(Weight\€^€t€€( Split File\€^€t€€(N of Rows in Working Data File\€^€t€€(Missing Value Handling\€^€ćt€€(Definition of Missing\€^€ Őt€€( Cases Used\€^€ t€€(Weight Handling\€^€ t€€(Syntax\€^€t€€( Resources\€^€ t€€( Elapsed Time\€^€ €€(Processor Timea e m q u y }  ‰  ‘ •  Ą  ᎀ\ iTKcKKK}‡\rKco‡€€(Notes€€(€€(ś€6¸€¸€ť€˙˙˙˝€Čx xó˙˙˙ź"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čhh((ó˙˙˙"Arial(cont.)$H$x̀0 πOě˙˙Ü>ě˙˙€€(Active Dataset€Ŕ UNIANOVAó˙˙˙"Courier Newr NewUö{\rtf1\ansi\deff0{\fonttbl{\f0\fswiss\fprq2\fcharset0 Courier New;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\cf1\lang1033\f0\fs20 [DataSet3] \\\\Asfs1.asnet.ua-net.ua.edu\\share\\declab\\000 PY602\\Class data sets\\Mel.sav\par } Ԁě˙˙5oë˙˙€€(Between-Subjects Factors€ Ä UNIANOVA!€dddd#€%€'€)€)€+€€€(Not union member+€€.€(€`{@438)€+€€€( Union member+€€.€(€X@96)€+€€€(Male+€€.€(€r@289)€+€€€(Female+€€.€(€ n@245Between Subjects Factors%UNIANOVA_Table_BetweenSubjectsFactorsZ€\€^€t€€( Properties\€^€?t€€( Value Label\€^€t€€(Nî ň Z€\€^€ţt€€( Factor Levels\€^€˙˙˙˙€€(Union\€^€˙˙˙˙€.€(€0\€^€˙˙˙˙€.€(€đ?1\€^€˙˙˙˙€€(Sex\€^€˙˙˙˙€.€(€0\€^€˙˙˙˙€.€(€đ?1˙   KŽ€é WKWŽ€ö KKKK2€€(Between-Subjects Factors€€(€€(ś€6¸€¸€ť€˙˙˙˝€Čx xó˙˙˙ź"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čhh((ó˙˙˙"Arial(cont.)$H$x̀Č ԀMë˙˙9;ę˙˙€€(!Tests of Between-Subjects Effects€ / UNIANOVA!€dddd#€%€'€)€)€)€+€€)€.€((€€O™&iš@1902.353)€+€€.€((€’-˜¨ƒř@ 98776.229)€+€€.€((€vîéfë.‘@1099.730)€+€€.€((€ţŹŚňn@247.565)€+€€.€((€ě{ šłS>@30.327)€+€€.€((€Áíń{zó@ 79783.747)€+€€.€((€­A 251299.000)€+€€.€((€]&ˆ–ańó@ 81686.099)€)€+€€.€(€@3)€+€€.€(€đ?1)€+€€.€(€đ?1)€+€€.€(€đ?1)€+€€.€(€đ?1)€+€€.€(€€@530)€+€€.€(€°€@534)€+€€.€(€¨€@533)€)€+€€.€((€5fÄđЃ@634.118)€+€€.€((€’-˜¨ƒř@ 98776.229)€+€€.€((€vîéfë.‘@1099.730)€+€€.€((€ţŹŚňn@247.565)€+€€.€((€ě{ šłS>@30.327)€+€€.€((€ŃĎÂ!Ńb@150.535)€)€+€€.€(€ˇPfƒŮ@4.212)€+€€.€(€…évT„@656.166)€+€€.€(€˝r Ę8@7.305)€+€€.€(€đň§šPú?1.645)€+€€.€(€ƂłŐvÉÉ?.201)€)€+€€.€(€SMuţöw?.006)€+€€.€(€üăHŠčg,.000)€+€€.€(€Ż6Á}?.007)€+€€.€(€ˆ"+˘É?.200)€+€€.€(€l˝¨Vëä?.654&Test of Between Subjects Fixed Effects0UNIANOVA_Table_TestofBetweenSubjectsFixedEffectsZ€\€^€çt€€(Dependent Variable\€^€˙˙˙˙€€( ExperienceĂ Z€\€^€(t€€(Source\€^€ŕt€€(Corrected Model\€^€ t€€( Intercept\€^€˙˙˙˙€€(Union\€^€˙˙˙˙€€(Sex\€^€˙˙˙˙€€( Union * Sex\€^€÷t€€(Error\€^€3t€€(Total\€^€át€€(Corrected TotalĚ Đ Ô Ř Ü ŕ ä č Z€\€^€,t€€( Statistics\€^€;t€€(Type III Sum of Squares\€^€ît€€(df\€^€t€€( Mean Square\€^€ýt€€(F\€^€%t€€(Sig.ń ő ů ý  ‚!‚€(,R Squared = .023 (Adjusted R Squared = .018)€; KŽ€ž S…€Ž€Ç qKKKVKKkqŽ€ě \K_KK_€€(!Tests of Between-Subjects Effects€€(€€(ś€6¸€¸€ť€˙˙˙˝€Čx xó˙˙˙ź"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čhh((ó˙˙˙"Arial(cont.)$H$x̀3 €€€(Estimated Marginal Means€% €ę˙˙ę˙˙€€(Title€) UNIANOVAí˙˙˙ź"ArialalPŽ{\rtf1\ansi\deff0{\fonttbl{\f0\fswiss\fprq2\fcharset0 Arial;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\cf1\lang1033\b\f0\fs28 Estimated Marginal Means\par } Ԁŕé˙˙=-é˙˙€€( Union * Sex€ - UNIANOVA!€dddd#€%€'€)€)€)€)€+€€.€((€?Ýľ?Ýľ/@15.855+€€.€(€ŹçҐię?.825+€€.€((€Í3łŮÁw,@14.234+€€.€((€XCÜRüy1@17.477)€+€€.€((€ťÉÝänr2@18.447+€€.€(€ŮĄŐ§ę?.833+€€.€((€'OŠ^’Ď0@16.811+€€.€((€PDkK4@20.083)€)€+€€.€((€ÓŇŇŇҒ4@20.574+€€.€(€Ă'.PÎ÷?1.488+€€.€((€ëC=>“Ś1@17.651+€€.€((€źahg7@23.496)€+€€.€((€#I’$IŇ5@21.821+€€.€(€á"ŚŒ@2.319+€€.€((€1ݜ9D1@17.267+€€.€((€ㇸX`:@26.376Estimated Marginal Means%UNIANOVA_Table_EstimatedMarginalMeansZ€\€^€,t€€( Statistics\€^€t€€(Mean\€^€.t€€( Std. Error\€^€Öt€€(95% Confidence Interval\€^€ t€€( Lower Bound\€^€=t€€( Upper Boundr v ~ ‚ Z€\€^€˙˙˙˙€€(Sex\€^€˙˙˙˙€€(Male\€^€˙˙˙˙€€(Female‹  Z€\€^€˙˙˙˙€€(Union\€^€˙˙˙˙€€(Not union member\€^€˙˙˙˙€€( Union member˜ œ Z€\€^€çt€€(Dependent Variable\€^€˙˙˙˙€€( ExperienceĽ KŽ€m KK___Ž€† KK?Ž€“ ~i~Ž€  S…€€€( Union * Sex€€(€€(ś€6¸€¸€ť€˙˙˙˝€Čx xó˙˙˙ź"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čx ó˙˙˙"Arialť€˙˙˙˝€Čhh((ó˙˙˙"Arial(cont.)$H$x̀1