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Peer reviewedWilcox, Rand R. – Psychometrika, 1994
A generalization of the usual random-effects model based on trimmed means is proposed. The resulting test of no differences among J randomly sampled groups has advantages in terms of Type I errors and can yield gains in power when distributions have heavy tails and outliers. (SLD)
Descriptors: Analysis of Variance, Equations (Mathematics), Models, Power (Statistics)
Download full textHsiung, Tung-Hsing; Olejnik, Stephen – 1994
This study investigated the robustness of the James second-order test (James 1951; Wilcox, 1989) and the univariate F test under a two-factor fixed-effect analysis of variance (ANOVA) model in which cell variances were heterogeneous and/or distributions were nonnormal. With computer-simulated data, Type I error rates and statistical power for the…
Descriptors: Analysis of Variance, Computer Simulation, Estimation (Mathematics), Interaction
Peer reviewedSmith, Richard M. – Educational and Psychological Measurement, 1994
Simulated data are used to assess the appropriateness of using separate calibration and between-fit approaches to detecting item bias in the Rasch rating scale model. Results indicate that Type I error rates for the null distribution hold even when there are different ability levels for reference and focal groups. (SLD)
Descriptors: Ability, Goodness of Fit, Identification, Item Bias
