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Shine, Lester C., II – Educational and Psychological Measurement, 1978
Some recent developments for the Shine-Bower single-subject analysis of variance (ANOVA) and the Shine Combined ANOVA are integrated in order to remove the restriction of an even number of trials for the Shine Combined ANOVA. (Author/JKS)
Descriptors: Analysis of Variance, Hypothesis Testing, Nonparametric Statistics
Peer reviewed Peer reviewed
Toothaker, Larry E.; Chang, Horng-shing – Journal of Educational Statistics, 1980
Extensions of the Kruskal-Wallis procedure for a factorial design are examined under various degrees and kinds of nonnullity. It was found that the distributions of these test statistics are a function of effects other than those being tested, except under the completely null situation. Their use is discouraged. (Author/JKS)
Descriptors: Analysis of Variance, Hypothesis Testing, Nonparametric Statistics
Peer reviewed Peer reviewed
Budescu, David V. – Psychometrika, 1980
A recent paper by Wainer and Thissen has renewed the interest in Gini's mean difference, G, by pointing out its robust characteristics. This note presents distribution-free asymptotic confidence intervals for its population value in the one sample case and for difference in the two sample situations. (Author/JKS)
Descriptors: Analysis of Variance, Hypothesis Testing, Nonparametric Statistics
Peer reviewed Peer reviewed
Shine, Lester C., II – Educational and Psychological Measurement, 1977
The Shine-Bower single subject analysis of variance is extended from being applicable to only an even number of trials to being applicable to any number of trials. (Author/JKS)
Descriptors: Analysis of Variance, Case Studies, Hypothesis Testing, Nonparametric Statistics
Peer reviewed Peer reviewed
Schmeidler, James – Educational and Psychological Measurement, 1978
The basic assumption of Cooper's nonparametric test for trend (EJ 125 069) is questioned. It is contended that the proper assumption alters the distribution of the statistic and reduces its usefulness. (JKS)
Descriptors: Analysis of Variance, Hypothesis Testing, Nonparametric Statistics, Research Design
Peer reviewed Peer reviewed
Penfield, Douglas A. – Educational and Psychological Measurement, 1978
The normal scores test for scale (variance) is presented as an alternative for evaluating the equality of dispersion for two independent populations. Test development is indicated as well as examples illustrating large and small sample situations. Reference is made to comparisons with the F, Mood, and Siegel-Tukey tests. (Author/JKS)
Descriptors: Analysis of Variance, Hypothesis Testing, Mathematical Models, Nonparametric Statistics
Peer reviewed Peer reviewed
Rothstein, Stuart M.; And Others – Psychometrika, 1981
A nonparametric test of dispersion with paired replicates data is described which involves jackknifing logarithmic transformations of the ratio of variance estimates for the pre- and posttreatment populations. Results from a simulation show that the test performs well under the null hypothesis and has good power properties. (Author/JKS)
Descriptors: Analysis of Variance, Hypothesis Testing, Mathematical Models, Nonparametric Statistics
Peer reviewed Peer reviewed
Shine, Lester C., II – Educational and Psychological Measurement, 1979
The Shine-Bower error term is used to form approximate F ratios for testing various effects in the Shine-Bower single-subject ANOVA and the Shine Combined ANOVA. Results demonstrate the utility of these F ratios with respect to the probability of a type I error. (Author/JKS)
Descriptors: Analysis of Variance, Case Studies, Hypothesis Testing, Nonparametric Statistics
Peer reviewed Peer reviewed
Roberge, James J. – Educational and Psychological Measurement, 1971
Descriptors: Analysis of Variance, Computer Programs, Hypothesis Testing, Mathematics
Peer reviewed Peer reviewed
Feir-Walsh, Betty J.; Toothaker, Larry E. – Educational and Psychological Measurement, 1974
Descriptors: Analysis of Variance, Comparative Analysis, Hypothesis Testing, Nonparametric Statistics
Peer reviewed Peer reviewed
Tideman, T. Nicolaus – Educational and Psychological Measurement, 1979
A statistical test for analysis of repeated measures is presented. It is shown that an appropriate chi-square statistic can be computed for related measures by taking account of the covariance among trials in computing a variance for the chi square statistic. (Author/JKS)
Descriptors: Analysis of Covariance, Analysis of Variance, Hypothesis Testing, Nonparametric Statistics
Peer reviewed Peer reviewed
Bintig, Arnfried – Educational and Psychological Measurement, 1980
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)
Descriptors: Analysis of Variance, Comparative Analysis, Hypothesis Testing, Mathematical Models
Srisukho, Dirake; Marascuilo, Leonard A. – 1974
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…
Descriptors: Analysis of Variance, Comparative Analysis, Hypothesis Testing, Monte Carlo Methods
Porter, Andrew C.; McSweeney, Maryellen – 1971
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…
Descriptors: Analysis of Covariance, Analysis of Variance, Goodness of Fit, Hypothesis Testing
Porter, Andrew C.; McSweeney, Maryellen – 1974
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…
Descriptors: Analysis of Covariance, Analysis of Variance, Comparative Analysis, Goodness of Fit
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