Novel Approaches in Mixture Modeling. Issue 2 (4th March 2017)

• Record Type: Journal Article
• Authors: Lubke, Gitta; Grimm, Kevin J.
• Is Part Of: Structural equation modeling. Volume 24:Issue 2(2017)
• Page Start: 157
• Page End: 158
• Publication Date: 2017-03-04
• Subjects: finite mixture -- latent class analysis -- mixture model; Multivariate analysis -- Periodicals; Social sciences -- Statistical methods -- Periodicals; 519.535
• DOI: 10.1080/10705511.2016.1258314
• Languages: English
• ISSNs: 1070-5511

Abstract

Abstract : 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.