### SAS Textbook Examples Practical Multivariate Analysis, Fifth Edition, by Afifi, May and Clark Chapter 15: Factor analysis

Page 398 Table 15.7 Varimax rotation, principal component factors for standardized CESD: Scale items

data depress;
set "c:\pma5\depress";
run;

proc factor data = depress n = 4 rotate = varimax;
var c1 - c20;
run;

Rotated Factor Pattern

Factor1         Factor2         Factor3         Factor4

C1          0.63797         0.14522         0.26850         0.27967
C2          0.77325         0.29572         0.27279        -0.00279
C3          0.72590         0.05395         0.27505         0.05177
C4          0.62977        -0.06179         0.16785         0.43068
C5          0.79687         0.17199         0.16075         0.01636
C6          0.62373         0.23348        -0.01778         0.03077
C7          0.59156         0.15656         0.35969         0.33683
C8          0.09229        -0.05102         0.10863         0.73658
C9          0.23725         0.03302         0.62088         0.10549
C10         0.55716         0.25282         0.37869         0.18400
C11         0.49794         0.14644         0.40761         0.14633
C12         0.44968         0.38885        -0.04900        -0.06477
C13         0.06989         0.50451        -0.17330         0.53527
C14         0.11783         0.69542         0.18010         0.12642
C15         0.49145         0.41844        -0.12299         0.08889
C16         0.19612         0.67215         0.26344        -0.07049
C17         0.27028         0.66412         0.19160         0.00039
C18         0.40931         0.21136        -0.02594         0.22344
C19        -0.01512         0.23713         0.74560        -0.08844
C20         0.35789         0.09085         0.50655         0.42899

Variance Explained by Each Factor

Factor1         Factor2         Factor3         Factor4

4.7954789       2.3793649       2.1120064       1.5513315

Final Communality Estimates: Total = 10.838182

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