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Algina, James; Keselman, H. J. – Educational and Psychological Measurement, 2003
Investigated the approximate confidence intervals for effect sizes developed by K. Bird (2002) and proposed a more accurate method developed through simulation studies. The average coverage probability for the new method was 0.959. (SLD)
Descriptors: Effect Size, Research Methodology, Simulation
Peer reviewed Peer reviewed
Cribbie, Robert A.; Keselman, H. J. – Educational and Psychological Measurement, 2003
Compared strategies for performing multiple comparisons with nonnormal data under various data conditions, including simultaneous violations of the assumptions of normality and variance homogeneity. Monte Carlo study results show the conditions under which different strategies are most appropriate. (SLD)
Descriptors: Comparative Analysis, Monte Carlo Methods, Nonparametric Statistics
Peer reviewed Peer reviewed
Keselman, Joanne C.; Keselman, H. J. – Educational and Psychological Measurement, 1987
The power to detect main and interaction effects in a factorial design was determined when the Bonferroni method was used to control the overall rate of Type I error. For sample sizes typical of educational research, the power of this procedure was considerably less than that of recommended standards. (TJH)
Descriptors: Educational Research, Sample Size, Statistical Analysis
Peer reviewed Peer reviewed
Keselman, H. J.; And Others – Educational and Psychological Measurement, 1981
This paper demonstrates that multiple comparison tests using a pooled error term are dependent on the circularity assumption and shows how to compute tests which are insensitive (robust) to this assumption. (Author/GK)
Descriptors: Hypothesis Testing, Mathematical Models, Research Design, Statistical Significance