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Educational and Psychological Measurement, Vol. 62, No. 2, 197-226 (2002)
DOI: 10.1177/0013164402062002001

Confidence Intervals for Effect Sizes in Analysis of Variance

Kevin D. Bird

University of New South Wales, Australia

Although confidence interval procedures for analysis of variance (ANOVA) have been available for some time, they are not well known and are often difficult to implement with statistical packages. This article discusses procedures for constructing individual and simultaneous confidence intervals on contrasts on parameters of a number of fixed-effects ANOVA models, including multivariate analysis of variance (MANOVA) models for the analysis of repeated measures data. Examples show how these procedures can be implemented with accessible software. Confidence interval inference on parameters of random-effects models is also discussed.


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