I NEED THIS ASAP!! TODAY IF POSSIBLE
butterfly 1
week_6_spss_factor_analysis_output.doc|
|
Title ABC/123 Version X |
1 |
|
|
Appendix D: SPSS Factor Analysis Output PSYCH/625 Version 1 |
1 |
University of Phoenix Material
Appendix D: SPSS Factor Analysis Output
Proportion of each variable’s variance is explained by the latent factors (initial is before the factor analysis and extraction is proportion of the variance explained by the retained factors).
|
Communalities |
||
|
|
Initial |
Extraction |
|
Toll free last month |
1.000 |
.630 |
|
Equipment last month |
1.000 |
.736 |
|
Calling card last month |
1.000 |
.674 |
|
Wireless last month |
1.000 |
.734 |
|
Multiple lines |
1.000 |
.678 |
|
Voice mail |
1.000 |
.574 |
|
Paging service |
1.000 |
.611 |
|
Internet |
1.000 |
.644 |
|
Caller ID |
1.000 |
.685 |
|
Call waiting |
1.000 |
.673 |
|
Call forwarding |
1.000 |
.663 |
|
Three-way calling |
1.000 |
.634 |
|
Electronic billing |
1.000 |
.625 |
|
Extraction Method: Principal Component Analysis |
The factor analysis starts out with all possible factors, but actually only three will be retained in this example. Total is the eigenvalue, or the amount of variance in the component. The % of Variance column contains the percentage of total variance for which the component accounts.
|
Total Variance Explained |
|||||||||
|
Component |
Initial Eigenvalues |
Extraction Sums of Squared Loadings |
Rotation Sums of Squared Loadings |
||||||
|
|
Total |
% of Variance |
Cumulative % |
Total |
% of Variance |
Cumulative % |
Total |
% of Variance |
Cumulative % |
|
1 |
4.860 |
37.384 |
37.384 |
4.860 |
37.384 |
37.384 |
4.119 |
31.686 |
31.686 |
|
2 |
2.695 |
20.731 |
58.115 |
2.695 |
20.731 |
58.115 |
3.214 |
24.722 |
56.408 |
|
3 |
1.006 |
7.739 |
65.855 |
1.006 |
7.739 |
65.855 |
1.228 |
9.446 |
65.855 |
|
4 |
.693 |
5.328 |
71.183 |
|
|
|
|
|
|
|
5 |
.611 |
4.704 |
75.887 |
|
|
|
|
|
|
|
6 |
.495 |
3.811 |
79.698 |
|
|
|
|
|
|
|
7 |
.465 |
3.577 |
83.275 |
|
|
|
|
|
|
|
8 |
.423 |
3.256 |
86.531 |
|
|
|
|
|
|
|
9 |
.422 |
3.249 |
89.780 |
|
|
|
|
|
|
|
10 |
.379 |
2.917 |
92.697 |
|
|
|
|
|
|
|
11 |
.350 |
2.696 |
95.393 |
|
|
|
|
|
|
|
12 |
.341 |
2.623 |
98.015 |
|
|
|
|
|
|
|
13 |
.258 |
1.985 |
100.000 |
|
|
|
|
|
|
|
Extraction Method: Principal Component Analysis. |
This is the unrotated matrix.
|
Component Matrixa |
|||
|
|
Component |
||
|
|
1 |
2 |
3 |
|
Toll free last month |
.679 |
-.408 |
.054 |
|
Equipment last month |
.511 |
.688 |
-.033 |
|
Calling card last month |
.393 |
-.256 |
.674 |
|
Wireless last month |
.816 |
.260 |
.031 |
|
Multiple lines |
.276 |
.394 |
.668 |
|
Voice mail |
.717 |
.240 |
-.044 |
|
Paging service |
.734 |
.254 |
-.082 |
|
Internet |
.351 |
.711 |
-.123 |
|
Caller ID |
.713 |
-.391 |
-.154 |
|
Call waiting |
.703 |
-.410 |
-.105 |
|
Call forwarding |
.711 |
-.380 |
-.113 |
|
Three-way calling |
.693 |
-.384 |
-.077 |
|
Electronic billing |
.277 |
.725 |
-.153 |
|
Extraction Method: Principal Component Analysis |
|||
|
a. 3 components extracted |
The components have been rotated to balance the amount of variance accounted for by each factor.
|
Rotated Component Matrixa |
|||
|
|
Component |
||
|
|
1 |
2 |
3 |
|
Toll free last month |
.770 |
|
|
|
Equipment last month |
. |
.847 |
|
|
Calling card last month |
|
|
.735 |
|
Wireless last month |
.529 |
.631 |
|
|
Multiple lines |
|
|
.733 |
|
Voice mail |
.471 |
.576 |
|
|
Paging service |
.484 |
.604 |
|
|
Internet |
|
.800 |
|
|
Caller ID |
.825 |
|
|
|
Call waiting |
.819 |
|
|
|
Call forwarding |
.811 |
|
|
|
Three-way calling |
.792 |
|
|
|
Electronic billing |
|
.778 |
|
|
Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser normalization |
|||
|
a. Rotation converged in 5 iterations |
|
Component Transformation Matrix |
|||
|
Component |
1 |
2 |
3 |
|
1 |
.826 |
.512 |
.238 |
|
2 |
-.536 |
.842 |
.050 |
|
3 |
-.175 |
-.169 |
.970 |
|
Extraction Method: Principal Component Analysis Rotation Method: Varimax with Kaiser normalization |
Copyright © XXXX by University of Phoenix. All rights reserved.
Copyright © 2012 by University of Phoenix. All rights reserved.
