Browsing OU - Faculty and Staff Publications by Author "Larry E. Toothaker"
Now showing items 1-5 of 5
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Comparison of Tukey's T-Method and Scheffé's S-Method for Various Numbers of All Possible Differences of Averages Contrasts Under Violation of Assumptions
H.J. Keselman; Larry E. Toothaker (Educational and Psychological Measurement, 1974-10-01)Empirical .05 and .01 rates of Type I error were compared for the Tukey and Scheffé multiple comparison techniques. The experimentwise error rate was defined over five sets of the all possible 25 differences of averages ... -
An Empirical Comparison of the Anova F-Test, Normal Scores Test and Kruskal-Wallis Test Under Violation of Assumptions
Betty J. Feir-Walsh; Larry E. Toothaker (Educational and Psychological Measurement, 1974-12-01)The present research compares the ANOVA F-test, the Kruskal-Wallis test, and the normal scores test in terms of empirical alpha and empirical power with samples from the normal distribution and two exponential distributions. ... -
N = 1 Designs: The Failure of ANOVA-Based Tests
Larry E. Toothaker; Martha Banz; Cindy Noble; Jill Camp; Diana Davis (Journal of Educational and Behavioral Statistics, 1983-12-21)↵TOOTHAKER, LARRY E. Professor, Department of Psychology, University of Oklahoma, Norman, OK 73019.Specializations: Randomization tests, individual comparisons, robustness. -
Nonparametric Competitors to the Two-Way ANOVA
Larry E. Toothaker; De Newman (Journal of Educational and Behavioral Statistics, 1994-09-21)↵LARRY E. TOOTHAKER is David Ross Boyd Professor of Psychology at the University of Oklahoma, Norman, OK 73019. He specializes in robustness of ANOVA, including repeated measures designs, multiple comparison procedures, ... -
On “The Analysis of Ranked Data Derived from Completely Randomized Factorial Designs”
Larry E. Toothaker; Horng-shing Chang (Journal of Educational and Behavioral Statistics, 1980-06-20)Extensions of the Kruskal-Wallis procedure for a factorial design are reviewed and researched under various degrees and kinds of nonnullity. It was found that the distributions of these test statistics are a Function of ...