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Some Multiple Correlation and Predictor Selection Methods

Published online by Cambridge University Press:  01 January 2025

Harry E. Anderson Jr.
Affiliation:
System Development Corporation
Benjamin Fruchter
Affiliation:
The University of Texas

Abstract

The Doolittle, Wherry-Doolittle, and Summerfield-Lubin methods of multiple correlation are compared theoretically as well as by an application in which a set of predictors is selected. Wherry's method and the Summerfield-Lubin method are shown to be equivalent; the relationship of these methods to the Doolittle method is indicated. The Summerfield-Lubin method, because of its compactness and ease of computation, and because of the meaningfulness of the interim computational values, is recommended as a convenient least squares method of multiple correlation and predictor selection.

Information

Type
Original Paper
Copyright
Copyright © 1960 The Psychometric Society

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