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Fahoome, Gail; Sawilowsky, Shlomo S. – 2000
Nonparametric procedures are often more powerful than classical tests for real world data, which are rarely normally distributed. However, there are difficulties in using these tests. Computational formulas are scattered throughout the literature, and there is a lack of availability of tables of critical values. This paper brings together the…
Descriptors: Monte Carlo Methods, Nonparametric Statistics, Sample Size, Statistical Distributions

Monaco, Malina – 1997
The effects of skewed theta distributions on indices of differential item functioning (DIF) were studied, comparing Mantel Haenszel (N. Mantel and W. Haenszel, 1959) and DFIT (N. S. Raju, W. J. van der Linden, and P. F. Fleer) (noncompensatory DIF). The significance of the study is that in educational and psychological data, the distributions one…
Descriptors: Ability, Estimation (Mathematics), Item Bias, Monte Carlo Methods