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Latent Class Models for Nonmonotone Dichotomous Items

Published online by Cambridge University Press:  01 January 2025

Anton K. Formann
Anton K. Formann*
Affiliation:
University of Vienna
*
Requests for reprints should be sent to Anton K. Formann, Institut für Psychologie, Universität Wien, Liebiggasse 5, A-1010 Wien, AUSTRIA.
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Abstract

Starting from perfectly discriminating nonmonotone dichotomous items, a class of probabilistic models with or without response errors and with or without intrinsically unscalable respondents is described. All these models can be understood as simply restricted latent class analysis. Thus, the estimation and identifiability of the parameters (class sizes and item latent probabilities) as well as the chi-squared goodness-of-fit tests (Pearson and likelihood-ratio) are free of the problems. The applicability of the proposed variants of latent class models is demonstrated on real attitudinal data.

Keywords

restricted latent class modelsattitudinal scalingdichotomous point itemsGuttman scaleresponse-errorsintrinsically unscalable personslatent distance models

Information

Type
Original Paper
Information
Psychometrika , Volume 53 , Issue 1 , March 1988, pp. 45 - 62
Copyright
Copyright © 1988 The Psychometric Society

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Footnotes

This research was supported by the Kulturamt der Stadt Wien, Magistratsabteilung 7.

The author wishes to thank the editor, Ivo W. Molenaar, as well as Clifford C. Clogg and the anonymous reviewers for their valuable comments on the earlier drafts of this paper.

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