Hostname: page-component-745bb68f8f-hvd4g Total loading time: 0 Render date: 2025-01-08T10:24:49.808Z Has data issue: false hasContentIssue false

Maximal Weighting of Qualitative Data

Published online by Cambridge University Press:  01 January 2025

Robert J. Wherry*
Affiliation:
University of North Carolina

Abstract

A method whereby biographical or other questionnaire data of a purely qualitative nature may be used to predict success or failure on an independent criterion is presented. The method is not new but the present least-squares derivation and the transformation equation for punched card coding were not available in the literature. The proper weights are found to be proportional to the per cent of passers in the various categories. The method is suggested as a suitable substitute for non-linear approaches in connection with purely quantitative data as well. The implications of reweighting in connection with multiple regression is discussed. The lavish use of degrees of freedom makes cross-validation extremely desirable.

Type
Original Paper
Copyright
Copyright © 1944 The 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.)

References

* It is obvious that the frequencies in the example are too few in most categories to establish reliable weights, but the principle remains the same. In practice the usual formulas for reliability of percentages and the usual restrictions concerning cell frequencies in any contingency problems should be taken into account.