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||||<50% style="TEXT-ALIGN: center"> '''Factor Loading''' || '''Sample Size needed for significance'''||
||||<50% style="VERTICAL-ALIGN: top; TEXT-ALIGN: center"> 0.30 || 350 ||
||||<50% style="VERTICAL-ALIGN: top; TEXT-ALIGN: center"> 0.35 || 250 ||
||||<50% style="VERTICAL-ALIGN: top; TEXT-ALIGN: center"> 0.40 || 200 ||
||||<50% style="VERTICAL-ALIGN: top; TEXT-ALIGN: center"> 0.45 || 150 ||
||||<50% style="VERTICAL-ALIGN: top; TEXT-ALIGN: center"> 0.50 || 120 ||
||||<50% style="VERTICAL-ALIGN: top; TEXT-ALIGN: center"> 0.55 || 100 ||
||||<50% style="VERTICAL-ALIGN: top; TEXT-ALIGN: center"> 0.60 || 85 ||
||||<50% style="VERTICAL-ALIGN: top; TEXT-ALIGN: center"> 0.65 || 70 ||
||||<50% style="VERTICAL-ALIGN: top; TEXT-ALIGN: center"> 0.70 || 60 ||
||||<50% style="VERTICAL-ALIGN: top; TEXT-ALIGN: center"> 0.75 || 50 ||

When SPSS performs a principal components analysis using a direct oblimin rotation it produces three matrices of loadings. A component matrix of initial unrotated loadings, a structure matrix of item-factor correlations and a pattern matrix of standardised regression coefficients between each factor and each item. For reporting purposes http://lists.asu.edu/cgi-bin/wa?A2=ind0312&L=aera-d&T=0&F=&S=&P=7624 suggests using the pattern matrix, in this situation, as it partials out the effects of other items on each factor.

Factor Loading

Sample Size needed for significance

0.30

350

0.35

250

0.40

200

0.45

150

0.50

120

0.55

100

0.60

85

0.65

70

0.70

60

0.75

50

None: FAQ/patternMatrix (last edited 2015-03-04 13:29:01 by PeterWatson)