Article

Latent Variable Measurement Models

Timothy A. Brown

in The Oxford Handbook of Quantitative Methods in Psychology: Vol. 2

Published in print March 2013 | ISBN: 9780199934898
Published online October 2013 | | DOI: http://dx.doi.org/10.1093/oxfordhb/9780199934898.013.0013

Series: Oxford Library of Psychology

Latent Variable Measurement Models

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The focus of this chapter is on the principles and methods of latent variable measurement models in applied research. After a review of the common factor model, examples of exploratory factor analysis and confirmatory factor analysis are provided along with a recently developed hybrid of these two approaches (exploratory structural equation modeling). In addition, more advanced applications are illustrated, including multiple-group models, to evaluate measurement invariance and population heterogeneity, and various types of higher-order factor models (e.g., second-order factor analysis, bifactor models). Future directions are discussed, including more recent advances in these methodologies (e.g., factor mixture models, multilevel factor models, nonlinear factor models).

Keywords: common factor model; latent variable; exploratory factor analysis; confirmatory factor analysis; exploratory structural equation modeling; measurement invariance; multiple-group solutions; higher-order factor analysis; bifactor model

Article.  16058 words. 

Subjects: Psychology ; Research Methods in Psychology

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