SPSS and SAS programs for determining the number of components using parallel analysis and Velicer’s MAP test Article

Received: 23 June 1999 Accepted: 11 March 2000 DOI :
10.3758/BF03200807

Cite this article as: O’connor, B.P. Behavior Research Methods, Instruments, & Computers (2000) 32: 396. doi:10.3758/BF03200807
Abstract Popular statistical software packages do not have the proper procedures for determining the number of components in factor and principal components analyses. Parallel analysis and Velicer’s minimum average partial (MAP) test are validated procedures, recommended widely by statisticians. However, many researchers continue to use alternative, simpler, but flawed procedures, such as the eigenvaluesgreater-than-one rule. Use of the proper procedures might be increased if these procedures could be conducted within familiar software environments. This paper describes brief and efficient programs for using SPSS and SAS to conduct parallel analyses and the MAP test.

This work was supported by a grant from the Social Sciences and Humanities Research Council of Canada.

Electronic Supplementary Material Supplementary material is available for this article at 10.3758/BF03200807 and is accessible for authorized users.

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Authors and Affiliations 1. Department of Psychology Lakehead University Thunder Bay Canada