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Efficient Estimation and Local Identification in Latent Class Analysis

Published online by Cambridge University Press:  01 January 2025

Richard B. McHugh*
Affiliation:
Iowa State College

Abstract

Estimators which are efficient in the sense of having minimum asymptotic variance are obtained for the structural parameters of Lazarsfeld's latent class model of latent structure analysis. Sufficient conditions for the local identification of the structural parameters are also presented.

Type
Original Paper
Copyright
Copyright © 1956 The Psychometric Society

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Footnotes

*

The writer wishes to acknowledge with appreciation the helpful advice of Professors Leonid Hurwicz and Jacob Bearman of the University of Minnesota. Dr. John Gurland of Iowa State College assisted the author in clarifying certain points in this article.

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