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| Predictor Variables | 2 |
| Probability | 2 |
| Correlation | 1 |
| Discriminant Analysis | 1 |
| Equations (Mathematics) | 1 |
| Mathematical Models | 1 |
| Multiple Regression Analysis | 1 |
| Statistical Analysis | 1 |
| Statistical Significance | 1 |
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| Journal of Educational… | 2 |
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| Journal Articles | 1 |
| Reports - Research | 1 |
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Peer reviewedGradstein, Mark – Journal of Educational Statistics, 1986
The purpose of this paper is to calculate the upper limit of the correlation between normal and dichotomous variables. An empirically obtained correlation should be evaluated in view of this limit, instead of the usual limit of Pearson correlation. (Author)
Descriptors: Correlation, Equations (Mathematics), Predictor Variables, Probability
Peer reviewedMcSweeney, Maryellen; Schmidt, William H. – Journal of Educational Statistics, 1977
The relationship between quantitative predictor variables and the probability of occurrence of one or more levels of a qualitative criterion variable can be analyzed by quantal response techniques. This paper presents and discusses two quantal response models, comparing them to multiple linear regression and discriminant analysis. (Author/JKS)
Descriptors: Discriminant Analysis, Mathematical Models, Multiple Regression Analysis, Predictor Variables
