Repeated Measures <i>F</i> tests and Psychophysiological Research: Controlling the Number of False Positives

Abstract

ABSTRACT Wilson (1967, 1974) indicated that when successive measurements are obtained in psychophysiological investigations, analysis of the data with repeated measures F tests will very likely result in positively biased tests of the repeated factor null hypothesis. The present paper demonstrates how the Greenhouse and Geisser (1959) three‐step approach to significance testing, a procedure intended to control the probability of a false positive, can be applied to experimental designs containing any number of repeated measures variables. In addition, the paper contains a short computer program for obtaining a numerical solution.