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Estimates of Test Size for Several Test Procedures based on Conventional Variance Ratios in the Repeated Measures Design

Published online by Cambridge University Press:  01 January 2025

Raymond O. Collier Jr.
Affiliation:
University of Minnesota
Frank B. Baker
Affiliation:
University of Wisconsin
Garrett K. Mandeville
Affiliation:
University of Minnesota
Thomas F. Hayes
Affiliation:
University of Minnesota

Abstract

Estimates of test size (probability of Type I error) were obtained for several specific repeated measures designs. Estimates were presented for configurations where the underlying covariance matrices exhibited varying degrees of heterogeneity. Conventional variance ratios were employed as basic statistics in order to produce estimates of size for a conventional test, an ∊-adjusted test, and ∊-adjusted test and a conservative test. Indices for empirical distributions of two estimators of ∊j, a measure of covariance heterogeneity, were also provided.

Type
Original Paper
Copyright
Copyright © 1967 The Psychometric Society

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