Title
sortl - sort rotated loadings (pattern matrix) or rotated components create > d by [MV] rotate
Syntax
sortl
Description
To make an interpretation of a factor solution easier, -sortl- sorts the rotated loadings (pattern matrix) or rotated components stored by [MV] rotate into the matrix e(r_L). It also sorts the matrix e(Psi) of the unique or unexplained variances created by [MV] factor or by [MV] pca into the same order.
-sortl- displays the sorted loadings or components and the unique or unexplained variances of the variables in the Stata Results window, stores the sorted loadings or components into the matrix e(r_Ls), and stores the sorted unique or unexplained variances into the matrix e(Psis).
Example
. webuse bg2 (Physician-cost data)
. factor bg*, factors(2) (obs=568)
Factor analysis/correlation Number of obs = 568 Method: principal factors Retained factors = 2 Rotation: (unrotated) Number of params = 11
-------------------------------------------------------------------------- Factor | Eigenvalue Difference Proportion Cumulative -------------+------------------------------------------------------------ Factor1 | 0.85389 0.31282 1.0310 1.0310 Factor2 | 0.54107 0.51786 0.6533 1.6844 Factor3 | 0.02321 0.17288 0.0280 1.7124 Factor4 | -0.14967 0.03951 -0.1807 1.5317 Factor5 | -0.18918 0.06197 -0.2284 1.3033 Factor6 | -0.25115 . -0.3033 1.0000 -------------------------------------------------------------------------- LR test: independent vs. saturated: chi2(15) = 269.07 Prob>chi2 = 0.0000
Factor loadings (pattern matrix) and unique variances
------------------------------------------------- Variable | Factor1 Factor2 | Uniqueness -------------+--------------------+-------------- bg2cost1 | 0.2470 0.3670 | 0.8043 bg2cost2 | -0.3374 0.3321 | 0.7759 bg2cost3 | -0.3764 0.3756 | 0.7173 bg2cost4 | -0.3221 0.1942 | 0.8586 bg2cost5 | 0.4550 0.2479 | 0.7315 bg2cost6 | 0.4760 0.2364 | 0.7176 -------------------------------------------------
. rotate, oblique promax
Factor analysis/correlation Number of obs = 568 Method: principal factors Retained factors = 2 Rotation: oblique promax (Kaiser off) Number of params = 11
-------------------------------------------------------------------------- Factor | Variance Proportion Rotated factors are correlated -------------+------------------------------------------------------------ Factor1 | 0.75531 0.9120 Factor2 | 0.69865 0.8436 -------------------------------------------------------------------------- LR test: independent vs. saturated: chi2(15) = 269.07 Prob>chi2 = 0.0000
Rotated factor loadings (pattern matrix) and unique variances
------------------------------------------------- Variable | Factor1 Factor2 | Uniqueness -------------+--------------------+-------------- bg2cost1 | 0.4428 0.1682 | 0.8043 bg2cost2 | -0.0020 0.4730 | 0.7759 bg2cost3 | 0.0014 0.5320 | 0.7173 bg2cost4 | -0.0907 0.3480 | 0.8586 bg2cost5 | 0.5059 -0.0513 | 0.7315 bg2cost6 | 0.5126 -0.0729 | 0.7176 -------------------------------------------------
Factor rotation matrix
-------------------------------- | Factor1 Factor2 -------------+------------------ Factor1 | 0.8276 -0.7098 Factor2 | 0.5614 0.7045 --------------------------------
. sortl
Rotated factor loadings (pattern matrix) and unique variances sorted
------------------------------------------------ Variable | Factor1 Factor2 | Uniqueness -------------+--------------------+------------- bg2cost6 | 0.5126 -0.0729 | 0.7176 bg2cost5 | 0.5059 -0.0513 | 0.7315 bg2cost1 | 0.4428 0.1682 | 0.8043 bg2cost3 | 0.0014 0.5320 | 0.7173 bg2cost2 | -0.0020 0.4730 | 0.7759 bg2cost4 | -0.0907 0.3480 | 0.8586 ------------------------------------------------
Author
Dirk Enzmann http://www2.jura.uni-hamburg.de/instkrim/kriminologie/Mitarbeiter/Enzmann/E > nzmann.html dirk.enzmann@uni-hamburg.de