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Iterative Inverse Factor Analysis—A Rapid Method for Clustering Persons

Published online by Cambridge University Press:  01 January 2025

Bernard M. Bass
Bernard M. Bass*
Affiliation:
Louisiana State University
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Abstract

By interchanging persons and items, iterative inverse factor analysis provides a relatively inexpensive way of clustering persons according to their patterns of response to the items. In addition to permitting the clustering of large numbers of persons, the technique enables one to determine the bases for such clustering. The items of behavior used can be heterogeneous in content and form.

Type
Original Paper
Information
Psychometrika , Volume 22 , Issue 1 , March 1957 , pp. 105 - 107
Copyright
Copyright © 1957 The Psychometric Society

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References

Wherry, R. J. and Gaylord, R. H. The concept of test and item reliability in relation to factor pattern. Psychometrika, 1943, 8, 247–269CrossRefGoogle Scholar
Wherry, R. J., Perloff, R. and Campbell, J. T. An empirical verification of the Wherry-Gaylord iterative factor analysis procedure. Psychometrika, 1951, 16, 67–74CrossRefGoogle Scholar
Wherry, R. J. and Winer, B. J. A method for factoring large numbers of items. Psychometrika, 1951, 18, 161–179CrossRefGoogle Scholar