Hostname: page-component-745bb68f8f-v2bm5 Total loading time: 0 Render date: 2025-01-08T10:29:23.390Z Has data issue: false hasContentIssue false
  • English
  • Français

Tandem Criteria for Analytic Rotation in Factor Analysis

Published online by Cambridge University Press:  01 January 2025

Andrew L. Comrey
Andrew L. Comrey*
Affiliation:
The University of California, Los Angeles
Get access Rights & Permissions [Opens in a new window]

Abstract

Two related orthogonal analytic rotation criteria for factor analysis are proposed. Criterion I is based upon the principle that variables which appear on the same factor should be correlated. Criterion II is based upon the principle that variables which are uncorrelated should not appear on the same factor. The recommended procedure is to rotate first by criterion I, eliminate the minor factors, and then rerotate the remaining major factors by criterion II. An example is presented in which this procedure produced a rotational solution very close to expectations whereas a varimax solution exhibited certain distortions. A computer program is provided.

Type
Original Paper
Information
Psychometrika , Volume 32 , Issue 2 , June 1967 , pp. 143 - 154
Copyright
Copyright © 1967 The Psychometric Society

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Comrey, A. L. Comparison of two analytic rotation procedures. Psychological Reports, 1959, 5, 201–209.CrossRefGoogle Scholar
Comrey, A. L. and Ahumada, A. An improved procedure and program for minimum residual factor analysis. Psychological Reports, 1964, 15, 91–96.CrossRefGoogle Scholar
Comrey, A. L. and Ahumada, A. Note and Fortran IV program for minimum residual factor analysis. Psychological Reports, 1965, 17, 446–446CrossRefGoogle ScholarPubMed
Comrey, A. L. and Jamison, Kay Verification of six personality factors. Educational Psychological Measurement, 1966, 26, 945–953.CrossRefGoogle Scholar
Kaiser, H. F. The varimax criterion for analytic rotation in factor analysis. Psychometrika, 1958, 23, 187–200.CrossRefGoogle Scholar