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A Method for Factoring Large Numbers of Items

Published online by Cambridge University Press:  01 January 2025

Robert J. Wherry  and
Ben J. Winer
Robert J. Wherry
Affiliation:
The Ohio State University
Ben J. Winer
Affiliation:
University of North Carolina
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Abstract

The computation of intercorrelation matrices involving large numbers of variables and the subsequent factoring of these matrices present a formidable task. A method for estimating factor loadings without computing the intercorrelation matrix is developed. The estimation procedure is derived from a theoretical model which is shown to be a special case of the multiple-group centroid method of factoring. Empirical checks have indicated that the model, even though it makes some stringent assumptions, can be applied to a variety of variables found in psychological factoring problems. It has been found to be particularly useful in factoring test items.

Type
Original Paper
Information
Psychometrika , Volume 18 , Issue 2 , June 1953 , pp. 161 - 179
Copyright
Copyright © 1953 The Psychometric Society

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References

Dunlap, J. W. Cureton, E. E. On the analysis of causation. J. educ. Psychol., 1930, 21, 657–680.CrossRefGoogle Scholar
Gleser, G. Loevinger, J. DuBois, P. Resolution of a pool of items into relatively homogeneous subtests. Amer. Psychologist, 1951, 6, 401–401. (Abstract.)Google Scholar
Gordon, L. V.A comparison of the validities of the forced-choice and questionnaire methods in personality measurement. Unpublished Ph.D. dissertation, Ohio State University, 1950.Google Scholar
Loevinger, J. Gleser, G. C. DuBois, P. H. Berkeley, M. H. A new method for constructing multiple score tests. Amer. Psychologist, 1951, 6, 303–304. (Abstract.)Google Scholar
Lucas, C. M.An emergent category approach to the study of adolescent needs. Unpublisged Ph.D. dissertation, Ohio State University, 1951.Google Scholar
Peters, C. C. VanVoorhis, W. R. Statistical procedures and their mathematical bases, New York: McGraw-Hill Book Co., 1940.CrossRefGoogle Scholar
Phelps, H. R.A factor analysis of adolescent informal group activities and attitudes. Unpublished Ph.D. dissertation, Ohio State University, 1951.Google Scholar
Stead, W. H. Shartle, C. L. Occupational counseling techniques (pp. 245–250). New York: American Book Co., 1940.Google Scholar
Wherry, R. J.Factor analysis of Officer Qualification Form Q.C.L. Form QCL 2b. Research Foundation, The Ohio State University, Report to Department of the Army, Feb. 28, 1950.Google Scholar
Wherry, R. J. Gaylord, R. H. The concept of test and item reliability in relation to factor pattern. Psychometrika, 1943, 8, 247–269.CrossRefGoogle Scholar
Wherry, R. J. Perloff, R. Campbell, J. T. An empirical verification of the Wherry-Gaylord iterative factor analysis procedure. Psychometrika, 1951, 16, 67–74.CrossRefGoogle Scholar
Winer, B. J.Iterative factor analysis: its psychological and mathematical bases. Unpublished Ph.D. dissertation, Ohio State University, 1952.Google Scholar