Hostname: page-component-6766d58669-bkrcr Total loading time: 0 Render date: 2026-05-25T06:03:36.763Z Has data issue: false hasContentIssue false
  • English
  • Français

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
Get access Rights & Permissions [Opens in a new window]

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

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Article purchase

Temporarily unavailable

References

Finney, D. J. The application of probit analysis to the results of mental tests. Psychometrika, 1944, 9, 31–39.CrossRefGoogle Scholar
Finney, D. J. Probit analysis (2nd ed.), Cambridge, Eng.: Cambridge Univ. Press, 1952.Google Scholar
Finney, D. J. Statistical method in biological assay, London: Charles Griffin, 1952.Google Scholar
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