Estimating the Concomitant-Variable Latent-Class Model with the EM Algorithm

Peter G M Van der Heijden, Jos Dessens, Ulf Bockenholt

Research output: Contribution to journalArticlepeer-review

34 Scopus citations


Latent class analysis assumes the existence of a categorical latent variable that explains the relations between a set of categorical manifest variables. Simultaneous latent class analysis deals with sets of multiway contingency tables simultaneously. In this way an explanatory categorical grouping variable is related to latent class results. In this article we discuss a tool called the concomitant-variable latent-class model, which generalizes this work to continuous explanatory variables. An EM estimation procedure to estimate the model is worked out in detail, and the model is applied to an example on juvenile delinquency.

Original languageEnglish (US)
Pages (from-to)215-229
Number of pages15
JournalJournal of Educational and Behavioral Statistics
Issue number3
StatePublished - 1996


  • Categorical data
  • Data analysis
  • EM algorithm
  • Latent class analysis
  • Latent variables

ASJC Scopus subject areas

  • Education
  • Social Sciences (miscellaneous)


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