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Educational and Psychological Measurement
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Maximizing the Coefficient of Generalizability in Decision Studies

Zvi Goldstein

California State University at Fullerton

George A. Marcoulides

California State University at Fullerton

This paper presents an efficient search procedure for determining the optimal number of observations of facets in a design that maximize generalizability when resource constraints are imposed. The procedure is illustrated for a three- and four-facet, fully crossed design, and extensions are presented for other design configurations.

Educational and Psychological Measurement, Vol. 51, No. 1, 79-88 (1991)
DOI: 10.1177/0013164491511006
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