Descriptor
Source
| Educational and Psychological… | 3 |
Author
| Boehnke, Klaus | 1 |
| Dunlap, William P. | 1 |
| Rasmussen, Jeffrey Lee | 1 |
| Zimmerman, Donald W. | 1 |
| Zumbo, Bruno D. | 1 |
Publication Type
| Journal Articles | 3 |
| Reports - Research | 2 |
| Reports - Evaluative | 1 |
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Peer reviewedBoehnke, Klaus – Educational and Psychological Measurement, 1984
The effects of some restraints not included in the classical assumptions of the F- and H-Test (e.g., correlation of mean and sample size) were examined in a simulation design. Also simulated was a situation in which two assumptions were not met simultaneously. (Author/BW)
Descriptors: Analysis of Variance, Computer Simulation, Hypothesis Testing, Research Methodology
Peer reviewedRasmussen, Jeffrey Lee; Dunlap, William P. – Educational and Psychological Measurement, 1991
Results of a Monte Carlo study with 4 populations (3,072 conditions) indicate that when distributions depart markedly from normality, nonparametric analysis and parametric analysis of transformed data show superior power to parametric analysis of raw data. Under conditions studied, parametric analysis of transformed data is more powerful than…
Descriptors: Comparative Analysis, Computer Simulation, Monte Carlo Methods, Power (Statistics)
Peer reviewedZimmerman, Donald W.; Zumbo, Bruno D. – Educational and Psychological Measurement, 1993
A computer simulation compared significance tests of correlation coefficients calculated from initial scores, from ranks assigned by the Spearman method, and from three kinds of modified ranks. Implications of findings for the idea that rank correlation is a nonparametric correlation method are discussed. (SLD)
Descriptors: Comparative Analysis, Computer Simulation, Correlation, Nonparametric Statistics


