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Nonlinear Probit Analysis and its Application to Psychometric Data

Published online by Cambridge University Press:  01 January 2025

J. S. Maritz
J. S. Maritz*
Affiliation:
University of Melbourne, Australia
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Abstract

Although probit analysis has been applied in the field of psychometrics, its use has been restricted by the requirement of linear regression of probits on the independent variate. This paper shows that polynomial probit analysis, a natural extension of the idea of probit analysis, can sometimes overcome the difficulty of a nonlinear plot and does not involve excessive computational labor.

Information

Type
Original Paper
Information
Psychometrika , Volume 30 , Issue 1 , March 1965 , pp. 31 - 38
Copyright
Copyright © 1965 Psychometric Society

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References

Finney, D. J. The application of probit analysis to the results of mental tests. Psychometrika, 1944, 9, 31–39.CrossRefGoogle Scholar
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Maritz, J. S. Estimation of the correlation coefficient in the case of a bivariate normal population when one of the variables is dichotomized. Psychometrika, 1953, 18, 97–110.CrossRefGoogle Scholar