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Repeated Measures F tests and Psychophysiological Research: Controlling the Number of False Positives
Author(s) -
Keselman H. J.,
Rogan Joanne C.
Publication year - 1980
Publication title -
psychophysiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.661
H-Index - 156
eISSN - 1469-8986
pISSN - 0048-5772
DOI - 10.1111/j.1469-8986.1980.tb00190.x
Subject(s) - false positive paradox , psychology , repeated measures design , null hypothesis , statistical hypothesis testing , statistics , statistical analysis , analysis of variance , social psychology , econometrics , mathematics
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.