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MSA for a Special Spearman Matrix

Published online by Cambridge University Press:  01 January 2025

Edward P. Meyer,
Henry F. Kaiser,
Barbara A. Cerny and
Bert F. Green Jr.
Edward P. Meyer
Affiliation:
University of Chicago
Henry F. Kaiser*
Affiliation:
University of California, Berkeley
Barbara A. Cerny
Affiliation:
University of California, Berkeley
Bert F. Green Jr.
Affiliation:
The Johns Hopkins University
*
Requests for reprints should be sent to Professor Henry F. Kaiser, School of Education, University of California, Berkeley, California 94720.
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Abstract

Kaiser's measure of sampling adequacy is applied to a special Spearman matrix and a special q-cluster generalization. The result supports the contention that the measure should be no less than .5 for data to be appropriate for factor analysis.

Keywords

measure of sampling adequacySpearman matrix

Information

Type
Notes And Comments
Information
Psychometrika , Volume 42 , Issue 1 , March 1977, pp. 153 - 156
Copyright
Copyright © 1977 The Psychometric Society

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Footnotes

The research reported in this note was supported in part by the Program in Applied Mathematics and Statistics, National Science Foundation, and by the National Institute of Education, Department of Health, Education, and Welfare.

References

Reference Note

Kaiser, H. F. The best approximation of a common-factor space (Report No. 25, Contract No. AF 41(657)-76). University of Illinois, 1958.Google Scholar

References

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