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Session Type: Roundtable Session
This roundtable session will discuss research on specialized SEM applications, including simulation results for modeling cross-lagged data with unobserved heterogeneity; generalized structured component analysis (GSCA) and model fit indices as an alternative to traditional latent variable modeling; and a comparison of modeling options to take into account positive/negative item wording effects.
When Unobserved Heterogeneity Presents in Cross-Lagged Panel Models - Baeksan Yu, University of Pittsburgh; Richard James Correnti, University of Pittsburgh
New Model Evaluation Tools in Component-Based Structural Equation Modeling - Ji Hoon Ryoo, University of Southern California; Heungsun Hwang, McGill University
Examining Wording Effects on a Self-Concept Scale From TIMSS 2015 - Minsun Kim, University of Missouri - Columbia; Ze Wang, University of Missouri