Latent Class Analysis of Anxiety and Depression

William W. Eaton; Allan McCutcheon; Amy Dryman; Ann Sorenson

doi:10.1177/0049124189018001004

Latent Class Analysis of Anxiety and Depression

William W. Eaton, Allan McCutcheon, Amy Dryman, Ann Sorenson

Bloomberg School of Public Health

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

22 Scopus citations

Abstract

This article applies the technique of Latent Class Analysis to data on 41 symptoms of anxiety and depression from the Baltimore and Durham sites of the Epidemiologic Catchment Area Program. An exploratory analysis on the Baltimore data fit three latent classes, which were then replicated on the Durham data. An analysis of Dysphoria and eight symptom groups related to depression revealed a close fit between the DSM-III configuration of Major Depressive Disorder and one of three latent classes.

Original language	English (US)
Pages (from-to)	104-125
Number of pages	22
Journal	Sociological Methods & Research
Volume	18
Issue number	1
DOIs	https://doi.org/10.1177/0049124189018001004
State	Published - Aug 1989

ASJC Scopus subject areas

Social Sciences (miscellaneous)
Sociology and Political Science

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abstract = "This article applies the technique of Latent Class Analysis to data on 41 symptoms of anxiety and depression from the Baltimore and Durham sites of the Epidemiologic Catchment Area Program. An exploratory analysis on the Baltimore data fit three latent classes, which were then replicated on the Durham data. An analysis of Dysphoria and eight symptom groups related to depression revealed a close fit between the DSM-III configuration of Major Depressive Disorder and one of three latent classes.",

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Latent Class Analysis of Anxiety and Depression

Abstract

ASJC Scopus subject areas

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