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Wilcox, Rand R.; Serang, Sarfaraz – Educational and Psychological Measurement, 2017

The article provides perspectives on p values, null hypothesis testing, and alternative techniques in light of modern robust statistical methods. Null hypothesis testing and "p" values can provide useful information provided they are interpreted in a sound manner, which includes taking into account insights and advances that have…

Descriptors: Hypothesis Testing, Bayesian Statistics, Computation, Effect Size

Wilcox, Rand R. – Educational and Psychological Measurement, 2006

Consider the nonparametric regression model Y = m(X)+ [tau](X)[epsilon], where X and [epsilon] are independent random variables, [epsilon] has a median of zero and variance [sigma][squared], [tau] is some unknown function used to model heteroscedasticity, and m(X) is an unknown function reflecting some conditional measure of location associated…

Descriptors: Nonparametric Statistics, Mathematical Models, Regression (Statistics), Probability

Wilcox, Rand R. – Educational and Psychological Measurement, 2006

For two random variables, X and Y, let D = X - Y, and let theta[subscript x], theta[subscript y], and theta[subscript d] be the corresponding medians. It is known that the Wilcoxon-Mann-Whitney test and its modern extensions do not test H[subscript o] : theta[subscript x] = theta[subscript y], but rather, they test H[subscript o] : theta[subscript…

Descriptors: Scores, Inferences, Comparative Analysis, Statistical Analysis

Peer reviewed

Wilcox, Rand R. – Educational and Psychological Measurement, 1997

Some results on how the Alexander-Govern heteroscedastic analysis of variance (ANOVA) procedure (R. Alexander and D. Govern, 1994) performs under nonnormality are presented. This method can provide poor control of Type I errors in some cases, and in some situations power decreases as differences among the means get large. (SLD)

Descriptors: Analysis of Variance, Error of Measurement, Power (Statistics), Statistical Distributions

Peer reviewed

Wilcox, Rand R. – Educational and Psychological Measurement, 1981

This paper describes and compares procedures for estimating the reliability of proficiency tests that are scored with latent structure models. Results suggest that the predictive estimate is the most accurate of the procedures. (Author/BW)

Descriptors: Criterion Referenced Tests, Scoring, Test Reliability