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Hsiung, Tung-Hsing; Olejnik, Stephen – Journal of Experimental Education, 1996
Type I error rates and statistical power for the univariate F test and the James second-order test were estimated for the two-factor fixed-effects completely randomized design. Results reveal that the F test Type I error rate can exceed the nominal significance level when cell variances differ. (SLD)
Descriptors: Analysis of Variance, Error of Measurement, Power (Statistics)

Rogers, W. Todd; Hopkins, Kenneth D. – Journal of Experimental Education, 1988
Formulas are provided for estimating statistical power of a test of significance for the difference among means under a variety of conditions. A table for quick power estimates that require no computation for comparing two means in analysis of variance and analysis of covariance is included. (TJH)
Descriptors: Analysis of Covariance, Analysis of Variance, Equations (Mathematics), Error of Measurement