title: Comparing groups on latent variables: a structural equation modeling approach.
abstract: Structural equation modeling (SEM) provides a dependable framework for testing differences among groups on latent variables (constructs, factors). The purpose of this article is to illustrate SEM-based testing for group mean differences on latent variables. Related procedures of confirmatory factor analysis and testing for measurement invariance across compared groups are also presented in the context of rehabilitation research.
authors.affiliation: Graduate School of Education, George Mason University, 4400 University Drive, MS 4B3, Fairfax, VA 22030-4444, USA. ddimitro@gmu.edu
authors.forename: Dimiter M
authors.initials: DM
authors.lastname: Dimitrov
mesh_terms: D000704:Analysis of Variance; D005163:Factor Analysis, Statistical; D006801:Humans; D015233:Models, Statistical; D009103:Multiple Sclerosis / Q000523:psychology; D044382:Population Groups; D012050:Rehabilitation, Vocational; D014481:United States