📄 例20-02计算结果.lst
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The SAS System 09:34 Monday, April 1, 2002 101
Initial Factor Method: Principal Components
Prior Communality Estimates: ONE
Eigenvalues of the Correlation Matrix: Total = 9 Average = 1
1 2 3 4 5
Eigenvalue 2.8074 1.9911 1.4483 0.7851 0.6807
Difference 0.8163 0.5428 0.6632 0.1044 0.1394
Proportion 0.3119 0.2212 0.1609 0.0872 0.0756
Cumulative 0.3119 0.5332 0.6941 0.7813 0.8570
6 7 8 9
Eigenvalue 0.5413 0.4530 0.1745 0.1186
Difference 0.0882 0.2785 0.0560
Proportion 0.0601 0.0503 0.0194 0.0132
Cumulative 0.9171 0.9674 0.9868 1.0000
4 factors will be retained by the NFACTOR criterion.
Factor Pattern
FACTOR1 FACTOR2 FACTOR3 FACTOR4
X1 -0.25458 0.77000 0.00776 0.47017
X2 0.76587 0.12768 0.09055 0.50844
X3 0.24434 0.77639 -0.08574 -0.44304
X4 0.68927 0.66058 -0.07059 -0.01973
X5 -0.72423 0.12457 0.44013 0.18939
X6 0.03929 -0.07076 0.88821 -0.00886
X7 -0.40462 -0.16381 -0.66326 0.24270
X8 -0.62276 0.40190 0.04132 -0.11635
X9 0.73732 -0.36590 0.05894 0.02089
Variance explained by each factor
FACTOR1 FACTOR2 FACTOR3 FACTOR4
2.807424 1.991130 1.448322 0.785073
Final Communality Estimates: Total = 7.031950
X1 X2 X3 X4 X5 X6 X7 X8 X9
0.878833 0.869566 0.866129 0.916842 0.769616 0.795552 0.689368 0.564603 0.681441
The SAS System 09:34 Monday, April 1, 2002 102
Initial Factor Method: Principal Components
Prior Communality Estimates: ONE
Eigenvalues of the Correlation Matrix: Total = 9 Average = 1
1 2 3 4 5
Eigenvalue 2.8074 1.9911 1.4483 0.7851 0.6807
Difference 0.8163 0.5428 0.6632 0.1044 0.1394
Proportion 0.3119 0.2212 0.1609 0.0872 0.0756
Cumulative 0.3119 0.5332 0.6941 0.7813 0.8570
6 7 8 9
Eigenvalue 0.5413 0.4530 0.1745 0.1186
Difference 0.0882 0.2785 0.0560
Proportion 0.0601 0.0503 0.0194 0.0132
Cumulative 0.9171 0.9674 0.9868 1.0000
4 factors will be retained by the NFACTOR criterion.
Factor Pattern
FACTOR1 FACTOR2 FACTOR3 FACTOR4
X1 -0.25458 0.77000 0.00776 0.47017
X2 0.76587 0.12768 0.09055 0.50844
X3 0.24434 0.77639 -0.08574 -0.44304
X4 0.68927 0.66058 -0.07059 -0.01973
X5 -0.72423 0.12457 0.44013 0.18939
X6 0.03929 -0.07076 0.88821 -0.00886
X7 -0.40462 -0.16381 -0.66326 0.24270
X8 -0.62276 0.40190 0.04132 -0.11635
X9 0.73732 -0.36590 0.05894 0.02089
Variance explained by each factor
FACTOR1 FACTOR2 FACTOR3 FACTOR4
2.807424 1.991130 1.448322 0.785073
Final Communality Estimates: Total = 7.031950
X1 X2 X3 X4 X5 X6 X7 X8 X9
0.878833 0.869566 0.866129 0.916842 0.769616 0.795552 0.689368 0.564603 0.681441
The SAS System 09:34 Monday, April 1, 2002 103
Rotation Method: Quartimax
Orthogonal Transformation Matrix
1 2 3 4
1 -0.89794 0.39561 0.15282 0.11768
2 0.41070 0.78327 0.02671 0.46594
3 0.11533 -0.13995 0.98037 0.07741
4 -0.10832 -0.45869 -0.12171 0.87353
Rotated Factor Pattern
FACTOR1 FACTOR2 FACTOR3 FACTOR4
X1 0.49480 0.28566 -0.06796 0.74013
X2 -0.67989 0.15710 0.14734 0.60077
X3 0.13756 0.92001 0.02794 -0.00314
X4 -0.35363 0.80902 0.05617 0.36621
X5 0.73172 -0.33741 0.30109 0.17232
X6 0.03906 -0.16012 0.87597 0.03267
X7 0.19326 -0.30688 -0.74598 0.03672
X8 0.74163 0.11601 -0.02977 0.01554
X9 -0.80781 -0.01274 0.15814 -0.06091
Variance explained by each factor
FACTOR1 FACTOR2 FACTOR3 FACTOR4
2.627932 1.854502 1.470625 1.078891
Final Communality Estimates: Total = 7.031950
X1 X2 X3 X4 X5 X6 X7 X8 X9
0.878833 0.869566 0.866129 0.916842 0.769616 0.795552 0.689368 0.564603 0.681441
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