Novel Approaches in Mixture Modeling

Gitta Lubke, Kevin Grimm

Research output: Contribution to journalEditorialpeer-review

3 Scopus citations


This special issue of Structural Equation Modeling: A Multidisciplinary Journal focuses on advances in finite mixture modeling. Finite mixture models are an exciting class of statistical models for data consisting of unmeasured groups. The articles in this special issue focus on novel uses of mixture models, new approaches to examine model selection uncertainty, model fit, model sensitivity, and alternative approaches to search multivariate data for groups.

Original languageEnglish (US)
Pages (from-to)157-158
Number of pages2
JournalStructural Equation Modeling
Issue number2
StatePublished - Mar 4 2017


  • finite mixture
  • latent class analysis
  • mixture model

ASJC Scopus subject areas

  • Decision Sciences(all)
  • Modeling and Simulation
  • Sociology and Political Science
  • Economics, Econometrics and Finance(all)


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