ࡱ> Root EntryRoot Entry`Y  Contents(3Embedding 1brHY Y Ole R !"#$%&'()*Contents- OlePres000, SPSS Output DocumentcNavText%Bq{ DspSimpleText DspString( Text OutputNavTreeViewItem NavOleItem Reliability"Courier Newr NewP{\rtf1\ansi\deff0\deftab720{\fonttbl{\f0\fswiss MS Sans Serif;}{\f1\froman\fcharset2 Symbol;}{\f2\fswiss\fprq2 Arial;}{\f3\fswiss\fprq2 Courier New;}} {\colortbl\red0\green0\blue0;} \deflang1033\pard\plain\f3\fs20\cf0 ****** Method 2 (covariance matrix) will be used for this analysis ****** \par \'0c \par \par \par \par R E L I A B I L I T Y A N A L Y S I S - S C A L E (A L P H A) \par \par \par \par Correlation Matrix \par \par DS1 DS2 DS3 DS4 DS5 \par \par DS1 1.0000 \par DS2 .4804 1.0000 \par DS3 .7206 -.1667 1.0000 \par DS4 .2354 -.7351 .7351 1.0000 \par DS5 .4193 -.2182 .7638 .5042 1.0000 \par \par \par \par * * * Warning * * * Determinant of matrix is close to zero: 6.314E-17 \par \par Statistics based on inverse matrix for scale ALPHA \par are meaningless and printed as . \par \par N of Cases = 5.0 \par \par N of \par Statistics for Mean Variance Std Dev Variables \par Scale 17.4000 12.3000 3.5071 5 \par \par \par Item-total Statistics \par \par Scale Scale Corrected \par Mean Variance Item- Squared Alpha \par if Item if Item Total Multiple if Item \par Deleted Deleted Correlation Correlation Deleted \par \par DS1 14.0000 6.5000 .7740 . .3487 \par DS2 13.6000 12.8000 -.2169 . .8229 \par DS3 14.2000 6.2000 .8982 . .2796 \par DS4 14.6000 8.8000 .2327 . .6667 \par DS5 13.2000 8.7000 .5876 . .5057 \par \par \par \par Reliability Coefficients 5 items \par \par Alpha = .6301 Standardized item alpha = .6535 \par \par \par \par \par \par } ((*4!* (Continued){\rtf1\ansi\deff0\deftab720{\fonttbl{\f0\fswiss MS Sans Serif;}{\f1\froman\fcharset2 Symbol;}{\f2\fswiss\fprq2 Arial;}{\f3\fswiss\fprq2 Courier New;}} {\colortbl\red0\green0\blue0;} \deflang1033\pard\qc\plain\f2\fs20\cf0 &[PageTitle] \par } {\rtf1\ansi\deff0\deftab720{\fonttbl{\f0\fswiss MS Sans Serif;}{\f1\froman\fcharset2 Symbol;}{\f2\fswiss\fprq2 Arial;}{\f3\fswiss\fprq2 Courier New;}} {\colortbl\red0\green0\blue0;} \deflang1033\pard\qr\plain\f2\fs20\cf0 Page &[Page] \par } NavRoot(Output NavHead( Correlations CorrelationsNavTitle(Title Correlations"ArialalP{\rtf1\ansi\deff0\deftab720{\fonttbl{\f0\fswiss MS Sans Serif;}{\f1\froman\fcharset2 Symbol;}{\f2\fswiss\fprq2 Arial;}{\f3\fswiss\fprq2 Courier New;}} {\colortbl\red0\green0\blue0;} \deflang1033\pard\plain\f2\fs28\cf0\b Correlations \par } NavNoteY(Notes CorrelationsPTPivotController p dddd PVPivotView PMPivotModelNDimensional__DspCellIndexedCollection DspCell DspNumber kB15-NOV-2004 09:25:41)( )(H:\201 craqp\item consistency example.sav )()()(),(@5)(3User-defined missing values are treated as missing.)(_Statistics for each pair of variables are based on all the cases with valid data for that pair.)(TCORRELATIONS /VARIABLES=dseven dsodd /PRINT=TWOTAIL NOSIG /MISSING=PAIRWISE . ), X9v? 0:00:00.03NotesCorrelations_NotesPMPivotItemTreeAbstractTreeBranchPMModelItemInfot(ContentsNPt(Output CreatedNPt(CommentsNPt(InputNPt(DataNPt(FilterNP t(WeightNP t( Split FileNP t(N of Rows in Working Data FileNPt(Missing Value HandlingNPt(Definition of MissingNPt( Cases UsedNP t(SyntaxNPt( ResourcesNP t( Elapsed Time TX`dhlpx|  PVViewDimensionM iTKKKK}\Kc(Notes(( PTTableLook6PVSeparatorStyle PVCellStyle PVTextStylexx"Arialx"Arialx"Arialx"Arialx"Arialx"Arialx"Arialhh(("Arial(cont.)$H$xPVPrintManager NavPivot( Correlations  Correlationsdddd!#%'''),(?1),(.),(@5')',(?.896),(SۘUV?.040),(@5'')',(?.896),(SۘUV?.040),(@5'),(?1),(.),(@5 CorrelationsCorrelations_Table_CorrelationsLNPt( StatisticsNPt(Pearson CorrelationNPt(Sig. (2-tailed)NPt(NLNPt( VariablesNP(DSEVENNP(DSODDLNPt( VariablesNP(DSEVENNP(DSODD  DspAnnotationDspTextComponentHandle(8Correlation is significant at the 0.05 level (2-tailed).!*K_KKKFKKF( Correlations((6xx"Arialx"Arialx"Arialx"Arialx"Arialx"Arialx"Arialhh(("Arial(cont.)$H$x( Reliability0 Reliability(Title4 Reliability"ArialalP{\rtf1\ansi\deff0\deftab720{\fonttbl{\f0\fswiss MS Sans Serif;}{\f1\froman\fcharset2 Symbol;}{\f2\fswiss\fprq2 Arial;}{\f3\fswiss\fprq2 Courier New;}} {\colortbl\red0\green0\blue0;} \deflang1033\pard\plain\f2\fs28\cf0\b Reliability \par } (Notes8 Reliabilitydddd!#%' ),K:+kB15-NOV-2004 09:31:19)( )(H:\201 craqp\item consistency example.sav )()()(),(@5)(RELIABILITY /VARIABLES=ds1 ds2 ds3 ds4 ds5 /FORMAT=NOLABELS /SCALE(ALPHA)=ALL/MODEL=ALPHA /STATISTICS=SCALE CORR /SUMMARY=TOTAL . ), Mb? 0:00:00.05NotesReliability_NotesLNPt(ContentsNPt(Output CreatedNPt(CommentsNPt(InputNPt(DataNPt(FilterNP t(WeightNP t( Split FileNP t(N of Rows in Working Data FileNP t(Missing Value HandlingNP t(Definition of MissingNPt( Cases UsedNP t(SyntaxNPt( ResourcesNP t( Elapsed Time aemquy}  \ iTKKKK}\Kc(Notes((6xx"Arialx"Arialx"Arialx"Arialx"Arialx"Arialx"Arialhh(("Arial(cont.)$H$x<   !"#$%&'()*+,./0123456789:;<=>?@ABCDEFGHIJKLMNOPQ%Bq  u1"Courier New ؟ww wfT-- ff$   ff$' =$   =$>$.8"Courier New؟ww wfT- 02 J# ****** Method 2 (covariance matrix) will be used for this analysis ****** 2 | /2 Gd" R E L I A B I L I T Y A N A L Y S I S - S C A L E (A L P H A)2 { &h Correlation Matrix-2 k C t DS1 DS2 DS3 DS4 DS5H2 [  DS1 1.00002 S" xDS2 .4804 1.0000"2 K.HDS3 .7206 -.1667 1.0000(2 C:xDS4 .2354 -.7351 .7351 1.0000.2 ;Fx!pDS5 .4193 -.2182 .7638 .5042 1.0000/2 HX"P * * * Warning * * * Determinant of matrix is close to zero: 6.314E-17(2 9H@ Statistics based on inverse matrix for scale ALPHA0 2 )@8 are meaningless and printed as ..2  0( N of Cases = 5.0'2 7  N of(2 :Statistics for Mean Variance Std Dev Variables(2 : Scale 17.4000 12.3000 3.5071 52 , Item-total Statistics0$2 "2!8" Scale Scale Corrected+2 #@"# Mean Variance Item- Squared2 $#l$Alpha12 %K$T$% if Item if Item Total Multiple if 2 &%&Item,2 'B&' Deleted Deleted Correlation Correlation2 {('d(Deleted)2 k*;)*DS1 14.0000 6.5000 .7740 .u2 c+*l+.3487e)2 [,;+,DS2 13.6000 12.8000 -.2169 .u2 S-,l-.8229e)2 K.;-.DS3 14.2000 6.2000 .8982 .u2 C/.lx/.2796e)2 ;0;x/p0DS4 14.6000 8.8000 .2327 .u2 31p0lh1.6667e)2 +2;h1`2DS5 13.2000 8.7000 .5876 .u2 #3`2lX3.5057e2 7$@6p87Reliability Coefficients 5 items)2 8;08(9Alpha = .6301 Standardized item alpha = .6535u''"SystemfT &-NANI"Courier Newr NewP{\rtf1\ansi\deff0\deftab720{\fonttbl{\f0\fswiss MS Sans Serif;}{\f1\froman\fcharset2 Symbol;}{\f2\fswiss\fprq2 Courier New;}} {\colortbl\red0\green0\blue0;} \deflang1033\pard\plain\f2\fs20\cf0 ****** Method 2 (covariance matrix) will be used for this analysis ****** \par \'0c \par \par \par \par R E L I A B I L I T Y A N A L Y S I S - S C A L E (A L P H A) \par \par \par \par Correlation Matrix \par \par DS1 DS2 DS3 DS4 DS5 \par \par DS1 1.0000 \par DS2 .4804 1.0000 \par DS3 .7206 -.1667 1.0000 \par DS4 .2354 -.7351 .7351 1.0000 \par DS5 .4193 -.2182 .7638 .5042 1.0000 \par \par \par \par * * * Warning * * * Determinant of matrix is close to zero: 6.314E-17 \par \par Statistics based on inverse matrix for scale ALPHA \par are meaningless and printed as . \par \par N of Cases = 5.0 \par \par N of \par Statistics for Mean Variance Std Dev Variables \par Scale 17.4000 12.3000 3.5071 5 \par \par \par Item-total Statistics \par \par Scale Scale Corrected \par Mean Variance Item- Squared Alpha \par if Item if Item Total Multiple if Item \par Deleted Deleted Correlation Correlation Deleted \par \par DS1 14.0000 6.5000 .7740 . .3487 \par DS2 13.6000 12.8000 -.2169 . .8229 \par DS3 14.2000 6.2000 .8982 . .2796 \par DS4 14.6000 8.8000 .2327 . .6667 \par DS5 13.2000 8.7000 .5876 . .5057 \par \par \par \par Reliability Coefficients 5 items \par \par Alpha = .6301 Standardized item alpha = .6535 \par \par \par \par \par \par }