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A Maximum Likelihood Approach for Multisample Nonlinear Structural Equation Models with Missing Continuous and Dichotomous Data
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Song, Xin-Yuan; Lee, Sik-Yum – Structural Equation Modeling: A Multidisciplinary Journal, 2006
Structural equation models are widely appreciated in social-psychological research and other behavioral research to model relations between latent constructs and manifest variables and to control for measurement error. Most applications of SEMs are based on fully observed continuous normal data and models with a linear structural equation.…
Descriptors: Structural Equation Models, Maximum Likelihood Statistics, Item Response Theory, Error of Measurement