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Power of univariate and multivariate analyses of repeated measurements in controlled clinical trials
Author(s) -
Overall John E.,
Atlas Robert S.
Publication year - 1999
Publication title -
journal of clinical psychology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.124
H-Index - 119
eISSN - 1097-4679
pISSN - 0021-9762
DOI - 10.1002/(sici)1097-4679(199904)55:4<465::aid-jclp10>3.0.co;2-x
Subject(s) - univariate , bonferroni correction , multivariate statistics , statistics , repeated measures design , multivariate analysis , type i and type ii errors , mathematics , multivariate analysis of variance , statistical power , linear model , analysis of variance
The power of univariate and multivariate tests of significance is compared in relation to linear and nonlinear patterns of treatment effects in a repeated measurement design. Bonferroni correction was used to control the experiment‐wise error rate in combining results from univariate tests of significance accomplished separately on average level, linear, quadratic, and cubic trend components. Multivariate tests on these same components of the overall treatment effect, as well as a multivariate test for between‐groups difference on the original repeated measurements, were also evaluated for power against the same representative patterns of treatment effects. Results emphasize the advantage of parsimony that is achieved by transforming multiple repeated measurements into a reduced set of meaningful composite variables representing average levels and rates of change. The Bonferroni correction applied to the separate univariate tests provided experiment‐wise protection against Type I error, produced slightly greater experiment‐wise power than a multivariate test applied to the same components of the data patterns, and provided substantially greater power than a multivariate test on the complete set of original repeated measurements. The separate univariate tests provide interpretive advantage regarding locus of the treatment effects. © 1999 John Wiley & Sons, Inc. J Clin Psychol 55: 465–485, 1999.