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| Borich, Gary D. | 1 |
| Butler, Richard P. | 1 |
| Glasnapp, Douglas R. | 1 |
| Halderson, Judith S. | 1 |
| Jennings, Earl | 1 |
| Noe, Michael J. | 1 |
| Pohlmann, John T. | 1 |
| Priest, Robert F. | 1 |
| Wunderlich, Kenneth W. | 1 |
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Download full textPriest, Robert F.; Butler, Richard P. – 1975
The advantages of Goodman's Gamma, a measure of association, are discussed in reference to the Pearson coefficient of contingency. Both theoretical and practical advantages and disadvantages are discussed. An empirical comparison of the two measures shows that gamma detects significant relationships which chi square does not, and that gamma is…
Descriptors: Comparative Analysis, Computer Programs, Correlation, Hypothesis Testing
Halderson, Judith S.; Glasnapp, Douglas R. – 1974
The primary purpose of the present study was to investigate empirically the effect of multiple hypothesis testing on error rates in factorial ANOVA designs under a variety of controlled conditions. The per comparison, per experiment, and experimentwise error rates were investigated for three hypothesis testing procedures. The specific conditions…
Descriptors: Analysis of Variance, Computer Programs, Error Patterns, Hypothesis Testing
Wunderlich, Kenneth W.; Borich, Gary D. – 1974
Considerable thought, research, and concern has been expanded in an effort to determine whether the assumption of a quadratic relation between a single predictor and a criterion violated the assumptions which Johnson and Neyman (1936) state for calculating regions of significance about interacting regressions. In particular, there has been special…
Descriptors: Computer Programs, Educational Research, Hypothesis Testing, Mathematical Models
Noe, Michael J. – 1976
This study compared three approaches to the two-factor experiment with repeated measures on one factor: (1) the conventional mixed model analysis of variance, (2) the Greenhouse-Geisser conservative analysis of variance, and (3) multivariate extensions of analysis of variance. Computer simulated data were used in a total of 96 sets of covariance…
Descriptors: Analysis of Variance, Comparative Analysis, Computer Programs, Correlation
Pohlmann, John T. – 1979
Three procedures used to control Type I error rate in stepwise regression analysis are forward selection, backward elimination, and true stepwise. In the forward selection method, a model of the dependent variable is formed by choosing the single best predictor; then the second predictor which makes the strongest contribution to the prediction of…
Descriptors: Computer Programs, Error Patterns, Mathematical Models, Multiple Regression Analysis
Bessent, Authella; Jennings, Earl – 1975
The intent of the study was to determine the extent to which test statistics computed by the unweighted means analysis are F-distributed. Applicability criteria were sought in terms of the number of factor levels and the degree to which cell frequencies differ. The unweighted means analysis, a frequently used approximate analysis, was contrasted…
Descriptors: Analysis of Variance, Comparative Analysis, Computer Programs, Goodness of Fit
