The author contends Glass, Peckham, and Sanders erred in discouraging the use of nonparametric counterparts of the t-test, even when it was known data were sampled from skewed distributions. He believes Wilcoxon's rank-sum test has power properties that make it preferable in most nonnormal population situations. (Author/DWH)

This nonparametric analysis of variance program includes the Kruskal-Wallis, Friedman, and Cochran methods. (DG)

Researchers are often in a dilemma as to whether parametric or nonparametric procedures should be cited when assumptions of the parametric methods are thought to be violated. Therefore, the Kruskal-Wallis test and the ANOVA F-test were empirically compared in terms of probability of a Type I error and power under various patterns of mean…

A distribution-free test for trend in one-way experimental designs is described. Critical values are derived, and a schematic diagram is given so that a computer package can be implemented. (Author/JKS)

Defining population diversity as the distribution along a continuum of homogeneity to heterogeneity with respect to one or more variables, measures are described with variance-based interpretations which can be applied to qualitative data. It is possible to use these statistics to define relationships in multivariate distributions. (Author/CTM)

Dunnett's procedure for comparing K-1 treatments with a control is discussed within the context of three nonparametric models: those of Kruskal-Wallis, Friedman, and Cochran. (Author/MH)

Twelve variance-analytical and nonparametrical coefficients of reliability for rating scales designed for rating persons were compared to each other theoretically and empirically. Preference for two coefficients was established. The intraclass correlation coefficient appeared to be useful for the estimation of reliability as well. (Author/RL)

Based on a Monte Carlo simulation, this study is designed to investigate the power of the Kruskal-Wallis's H-test compared to the power of the F-test for three equal moderate sample sizes drawn at random from distributions of common or different shapes but for which the population distributions have equal variances. The distributions are the…

This is the second half of the course described in SE 013 166. The chapter headings are: (10) Sample surveys; (11) Analysis of variance; (12) Use of analysis of variance for adjustment of data; (13) Exploratory data analysis; (14) Plotting and computing; (15) Logit regression for binary data; (16) Transformations and distribution-free inference;…

This text is designed for undergraduate courses in statistics or tests and measurements in physical education. It covers basic statistical concepts such as frequency distributions; graphs and curves; percentiles; measure of central tendency and variability; correlations; t tests; special applications of t tests for unequal, small, or correlated…

The relative power of three possible experimental designs under the condition that data is to be analyzed by nonparametric techniques; the comparison of the power of each nonparametric technique to its parametric analogue; and the comparison of relative powers using nonparametric and parametric techniques are discussed. The three nonparametric…

Application of the Kruskal-Wallis test to survey research problems is discussed as an alternative for the business education researcher in testing questionnaire response differences among three or more independent groups. Problem illustrations and a computer program are included. (MF)

A statistical framework for investigating various regression approaches to linear composites is presented in this monograph. The consequences of variance approaches for psychometric theory are discussed. (A six-page bibliography is appended). (JKS)

A Monte Carlo technique was used to investigate the small sample goodness of fit and statistical power of several nonparametric tests and their parametric analogues when applied to data which violate parametric assumptions. The motivation was to facilitate choice among three designs, simple random assignment with and without a concomitant variable…