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Roberge, James J. – Educ Psychol Meas, 1970
This nonparametric analysis of variance program includes the Kruskal-Wallis, Friedman, and Cochran methods. (DG)
Descriptors: Analysis of Variance, Computer Programs, Nonparametric Statistics, Statistical Analysis
Smith, Robert A.; And Others – Educ Psychol Meas, 1970
Descriptors: Analysis of Variance, Computer Programs, Nonparametric Statistics, Statistical Analysis
Peer reviewedRoberge, James J. – Educational and Psychological Measurement, 1971
Descriptors: Analysis of Variance, Computer Programs, Hypothesis Testing, Mathematics
Peer reviewedFeir-Walsh, Betty J.; Toothaker, Larry E. – Educational and Psychological Measurement, 1974
Descriptors: Analysis of Variance, Comparative Analysis, Hypothesis Testing, Nonparametric Statistics
Peer reviewedLevy, Kenneth J. – Journal of Experimental Education, 1979
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)
Descriptors: Analysis of Variance, Comparative Analysis, Mathematical Models, Nonparametric Statistics
Download full textPorter, 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
PDF pending restorationRosmann, Michael R. – 1973
When repeated measures are obtained on the same subjects, interobservation dependencies frequently are generated. The major ways in which these dependencies can arise are illustrated and it is shown how these dependencies may invalidate the use of analysis of variance (ANOVA) and its extension, trend analysis, as methods of evaluating the data of…
Descriptors: Analysis of Variance, Correlation, Goodness of Fit, Hypothesis Testing
