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Factor and Ideal Point Analysis for Interpersonally Incomparable Data

Published online by Cambridge University Press:  01 January 2025

Henry E. Brady
Henry E. Brady*
Affiliation:
Department of Political Science, University of Chicago
*
Requests for reprints should be sent to Henry E. Brady, Department of Political Science, University of Chicago, Chicago, IL 60637.
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Abstract

Interpersonally incomparable responses pose a significant problem for survey researchers. If the manifest responses of individuals differ from their underlying true responses by monotonic transformations which vary from person to person, then the covariances of the manifest responses tools such as factor analysis may yield incorrect results. Satisfactory results for interpersonally incomparable ordinal responses can be obtained by assuming that rankings are based upon a set of multivariate normal latent variables which satisfy the factor or ideal point models of choice. Two statistical methods based upon these assumptions are described; their statistical properties are explored; and their computational feasibility is demonstrated in some simulations. We conclude that is possible to develop methods for factor and ideal point analysis of interpersonally incomparable ordinal data.

Keywords

interpersonally incomparable responsesrankingsfactor analysisideal-point analysisordinal data

Information

Type
Original Paper
Information
Psychometrika , Volume 54 , Issue 2 , June 1989 , pp. 181 - 202
Copyright
Copyright © 1989 The Psychometric Society

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Footnotes

This research was begun in the supportive enviroment of the Survey Research Center at the University of California, Berkeley. Financial support was provided by Percy Tannenbaum, Director of the Center, by Allan Sindler, Dean of the Graduate School of Public Policy at Berkeley, by the Data Center of Harvard University, and by the National Science Foundation through grant number SES-84-03056. Chris Achen, Doug Rivers, and members of the Harvard-MIT econometrics seminar provided useful comments.

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