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Maximizing the Coefficient of Generalizability in Multi-Facet Decision Studies

Published online by Cambridge University Press:  01 January 2025

J. Arthur Woodward and
George W. Joe
J. Arthur Woodward
Affiliation:
Texas Christian University
George W. Joe
Affiliation:
Texas Christian University
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Abstract

For random-model, fully-crossed, two- and three-facet experimental designs the following two problems were considered. First, equations were developed for determining the optimal number of conditions of a facet for maximizing the coefficient of generalizability under the constraint that the total number of observations per subject is constant. Second, the problem of determining the minimum number of observations per subject for a specified generalizability coefficient is solved for the two-facet crossed design.

Information

Type
Original Paper
Information
Psychometrika , Volume 38 , Issue 2 , June 1973, pp. 173 - 181
Copyright
Copyright © 1973 The Psychometric Society

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