Latent Class Analysis of Anxiety and Depression

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

Research output: Contribution to journalArticlepeer-review

22 Scopus citations


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 languageEnglish (US)
Pages (from-to)104-125
Number of pages22
JournalSociological Methods & Research
Issue number1
StatePublished - Aug 1989

ASJC Scopus subject areas

  • Social Sciences (miscellaneous)
  • Sociology and Political Science


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