Ordinal measures in multiple indicator models: a simulation study of categorization error.

David R. Johnson; J. C. Creech

doi:10.2307/2095231

Ordinal measures in multiple indicator models: a simulation study of categorization error.

David R. Johnson, J. C. Creech

Sociology and Criminology

Research output: Contribution to journal › Article › peer-review

198 Scopus citations

Abstract

Using simulated data and a multiple indicator approach, examines the problems that surround categorization error. Results indicate that while categorization error does produce distortions in multiple indicator models, under most of the conditions explored, the bias was not sufficient to alter substantive interpretations and the estimates were efficient.-from Authors

Original language	English (US)
Pages (from-to)	398-407
Number of pages	10
Journal	American Sociological Review
Volume	48
Issue number	3
DOIs	https://doi.org/10.2307/2095231
State	Published - Jan 1 1983

All Science Journal Classification (ASJC) codes

Sociology and Political Science

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Ordinal measures in multiple indicator models: a simulation study of categorization error.

Abstract

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