A computer program to compare factor matrices which have at least some variables in common is described. The program calculates both the salient variable similarity index and the congruence coefficient. There are no limits for the number of variables or factors in either matrix. (Author/JKS)

Factor analysis programs in SAS, BMDP, and SPSS are discussed and compared in terms of documentation, methods and options available, internal logic, computational accuracy, and results provided. Based on these comparisons, preferences for SAS and against SPSS factor analysis programs are recommended. (Author/JKS)

Two computer subroutine packages for the analytic rotation of a factor matrix, A(p x m), are described. The first program uses the Flectcher (1970) gradient method, and the second uses the Polak-Ribiere (Polak, 1971) gradient method. The calculations in both programs involve the optimization of a function of free parameters. The result is a…

Earlier comparisons of packaged programs for factor analysis are updated because of recent revision in some programs. The top status of SPSS is no longer so apparent as formerly. BMD and SAS now have expanded options. SAS has flexibility and convenience. (Author)

Saunder's routine, Buhler's empirical approximation, and Castellan's series expansion are compared. Saunder's routine was identified as an acceptably accurate method. (PR)

Procedures for simultaneous confirmatory factor analysis in several populations are useful in a variety of problems. This is demonstrated with examples involving missing data, comparison of part correlations between groups, testing the equality of regression weights between groups with multiple indicators of each variable, and the formulation of…

This paper comments on the impact of computers on statistical analysis and presents a concise, nontechnical overview of five statistical methods now being applied in educational research. Appropriate uses of these techniques are pointed out, along with dangers concerning misapplications. (PP)