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Direct linkPek, Jolynn; Chalmers, R. Philip; Kok, Bethany E.; Losardo, Diane – Journal of Educational and Behavioral Statistics, 2015
Structural equation mixture models (SEMMs), when applied as a semiparametric model (SPM), can adequately recover potentially nonlinear latent relationships without their specification. This SPM is useful for exploratory analysis when the form of the latent regression is unknown. The purpose of this article is to help users familiar with structural…
Descriptors: Structural Equation Models, Nonparametric Statistics, Regression (Statistics), Maximum Likelihood Statistics
