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Optimal Test Length for Maximum Differential Prediction

Published online by Cambridge University Press:  01 January 2025

Paul Horst
Paul Horst*
Affiliation:
University of Washington
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Abstract

For the case of a single criterion a method is already available for determining the optimal distribution of testing time for a battery of predictors, assuming that intercorrelation, validity, and reliability data are available for predictors of arbitrary lengths. In this article a modification and generalization of the method is presented for the case of differential prediction involving a number of criterion variables. A numerical example is given to illustrate the method, after which the mathematical rationale is outlined.

Type
Original Paper
Information
Psychometrika , Volume 21 , Issue 1 , March 1956 , pp. 51 - 66
Copyright
Copyright © 1956 The Psychometric Society

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Footnotes

*

This research was carried out under Contract Nonr-477(08) between the University of Washington and the Office of Naval Research. Most of the computations were carried out by Robert Dear, Charlotte MacEwan, and Donald Mills. Much credit is due the typist, Elizabeth Cross. Supervision of both computational and editorial activities was provided by William Clemans. To each of these able contributors I am deeply grateful.

References

Horst, Paul. Determination of optimal test length to maximize the multiple correlation. Psychometrika, 1949, 14, 79–88CrossRefGoogle ScholarPubMed
Horst, Paul. A technique for the development of a differential prediction battery. Psychological Monographs, 1954, 68, No. 9 (Whole No. 380).CrossRefGoogle Scholar
Horst, Paul. Servant of the human sciences, Chapter 21, Section 7. Unpublished manuscript. Division of Counseling and Testing Services, University of Washington.Google Scholar