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Clinch, Jennifer J.; Keselman, H. J. – Journal of Educational Statistics, 1982
The analysis of variance, Welch, and Brown and Forsyth tests for mean equality were compared using Monte Carlo methods. The tests' rates of Type I error and power were examined when populations were nonnormal, variances were heterogeneous, and group sizes were unequal. Recommendations for use are presented. (Author/JKS)
Descriptors: Analysis of Variance, Comparative Analysis, Data Analysis, Hypothesis Testing

Bryk, Anthony S.; Weisberg, Herbert I. – Journal of Educational Statistics, 1976
Focuses on the fact that an educational treatment typically involves an intervention in a growth process. By modelling this process, expected growth for various treatment groups under control conditions may be estimated. Actual growth can be compared with projected growth to estimate the value-added by the program. A simple model is developed. (RC)
Descriptors: Analysis of Covariance, Comparative Analysis, Control Groups, Data Analysis