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Penfield, Douglas A.; Koffler, Stephen L. – Journal of Educational Statistics, 1978
Post hoc multiple comparison procedures useful in assessing differences in population variability are formulated for three nonparametric alternatives to the parametric Bartlett test. The three nonparametric tests are the generalized Puri K-sample extensions of the Siegel-Tukey, mood, and Klotz tests. (Author/CTM)
Descriptors: Nonparametric Statistics, Statistical Significance, Technical Reports

Stamm, Carol Lee – Journal of Educational Statistics, 1978
A study was conducted using generated data sets that contained specified amounts of error to determine empirically which of two large sample approximations for the coefficient of concordance or weighted average tau was more appropriate for various numbers of judges and numbers of objects. (CTM)
Descriptors: Correlation, Nonparametric Statistics, Sampling, Statistical Significance

Schultz, James V.; Hubert, Lawrence – Journal of Educational Statistics, 1976
Illustrates a simple nonparametric alternative that can be used to test a hypothesis that two proximity matrices on the same set of variables or objects reflect a similar pattern of high and low entries. (RC)
Descriptors: Correlation, Data Analysis, Hypothesis Testing, Matrices

Olejnik, Stephen F.; Algina, James – Journal of Educational Statistics, 1984
Using computer simulation, parametric analysis of covariance (ANCOVA) was compared to ANCOVA with data transformed using ranks, in terms of proportion of Type I errors and statistical power. Results indicated that parametric ANCOVA was robust to violations of either normality or homoscedasticity, but practiced significant power differences favored…
Descriptors: Analysis of Covariance, Computer Simulation, Hypothesis Testing, Nonparametric Statistics