Calculating the Statistical Power of the Univariate and the Multivariate Repeated Measures Analyses of Variance for the Single Group Case Under Various Conditions

Bibliographic Data

ID20472115
AuthorsRandall R Robey (Ohio University), Robert S Barcikowski (Ohio University)
Year1984
Volume44
Issue1
Pages137-143
Publication date1984-03-01
Open AccessYes
TypeARTICLE
VenueEducational and Psychological Measurement (JOURNAL)
Journal identifiersISSN: 0013-1644 • E-ISSN: 1552-3888
PublisherSAGE Publishing (PUBLISHER • US)
DOI10.1177/0013164484441014
OpenAlexW2076521695
LanguageEN
References cited13

Repeated measures designs find frequent application in behavioral research. Researchers using such designs must choose between the univariate approach and the multivariate approach for a test statistic. The statistical power of these two approaches has been shown to be varyingly different depending upon the structure of the variance-covariance matrix relative to the pattern of mean differences. However, the guidelines for choosing the most powerful test for a given situation have not been well defined. A FORTRAN program is described which calculates the statistical power of the omnibus tests for the univariate and the multivariate approaches to repeated measures in the single group case. Program input, output, applications, and availability are discussed

Analysis of covariance · Analysis of variance · Covariance · Covariance matrix · Econometrics · Fortran · Multivariate analysis · Multivariate analysis of variance · Multivariate statistics · Repeated measures design · Statistic · Statistical hypothesis testing · Statistical power · Statistics · Test statistic · Univariate · Variance (accounting) · Behavioral and Psychological Studies · Computer Science · Mathematics · Statistical Methods in Clinical Trials

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