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| Chakraborti, S. | 1 |
| Cohen, Jacob | 1 |
| Gibbons, Jean D. | 1 |
| Kelley, D. Lynn | 1 |
| Lee, Robert S. | 1 |
| Newman, De | 1 |
| Toothaker, Larry E. | 1 |
| Zimmerman, Donald W. | 1 |
| Zumbo, Bruno D. | 1 |
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| Reports - Evaluative | 5 |
| Journal Articles | 4 |
| Speeches/Meeting Papers | 1 |
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Peer reviewedToothaker, Larry E.; Newman, De – Journal of Educational and Behavioral Statistics, 1994
Compared the analysis of variance (ANOVA) "F" and several nonparametric competitors for two-way designs for empirical alpha and power through simulation. Results suggest the ANOVA "F" suffers from conservative alpha and power for the mixed normal distribution, but is generally recommended. (Author/SLD)
Descriptors: Analysis of Variance, Nonparametric Statistics, Simulation, Statistical Distributions
Peer reviewedChakraborti, S.; Gibbons, Jean D. – Journal of Experimental Education, 1992
The one-sided problem of comparing treatments with a standard on the basis of data available in the context of a one-way analysis of variance is examined, and the methodology of S. Chakraborti and J. D. Gibbons (1991) is extended to the case of unequal sample sizes. (SLD)
Descriptors: Analysis of Variance, Comparative Analysis, Equations (Mathematics), Mathematical Models
Peer reviewedZimmerman, Donald W.; Zumbo, Bruno D. – Journal of Experimental Education, 1992
A modified "F" test is derived that includes a correction for nonindependence of between-groups and within-groups sample values in analysis of variance (ANOVA) designs. Computer simulations based on normal and nonnormal distributions illustrate the usefulness of the approach, which was more powerful than conventional within-subjects…
Descriptors: Analysis of Variance, Computer Simulation, Correlation, Mathematical Models
Kelley, D. Lynn; And Others – 1994
The Type I error and power properties of the 2x2x2 analysis of variance (ANOVA) and tests developed by McSweeney (1967), Bradley (1979), Harwell-Serlin (1989; Harwell, 1991), and Blair-Sawilowsky (1990) were compared using Monte Carlo methods. The ANOVA was superior under the Gaussian and uniform distributions. The Blair-Sawilowsky test was…
Descriptors: Analysis of Variance, Comparative Analysis, Error of Measurement, Monte Carlo Methods
Peer reviewedCohen, Jacob; Lee, Robert S. – Multivariate Behavioral Research, 1987
STATGRAPHICS, a statistical package written for the IBM PC/XT/AT, is reviewed. In addition to superb graphics, STATGRAPHICS is unequalled in time series procedures, quality control, linear programming, and other mathematical procedures. The modules for regression analysis, categorical data analysis, and nonparametric analysis are good, but contain…
Descriptors: Analysis of Variance, Cluster Analysis, Computer Graphics, Computer Software
