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Longitudinal and Structural Equation Modeling
Sat, April 15, 11:40am to 1:10pm CDT (11:40am to 1:10pm CDT), Chicago Marriott Downtown Magnificent Mile, Floor: 4th Floor, Armitage - Avenue BallroomSession Type: Paper Session
Abstract
Evaluation of learning and achievement in education is centered on growth models and the underlying assessments. This session is presents five papers modeling effective use of longitudinal and structural equation models in educational research.
Sub Unit
Chair
Papers
Modeling Teacher Self-Efficacy as a Bifactor Construct: Evidence From an International Sample of In-Service Teachers - Steven Randall Chesnut, University of Missouri - Kansas City; Daniel B. Hajovsky, Texas A&M University
Modeling the Effect of Courses Over Soft Skills: A Simulation Study - Luis Alberto Pinos Ullauri, IMT Nord Europe; Anthony Fleury; Wim Van den Noortgate, KU Leuven; Abir Karami, Université Catholique de Lille; Alexis Lebis, IMT Nord Europe; Mathieu Vermeulen, IMT Nord Europe
Performance of Latent Growth Model With Categorical Variables - Jiwon Kim, University of Texas at Austin; Suyoung Kim, University of Texas at Austin
Research Design Considerations for Estimating Latent Time-to-Criterion Growth Models - LizAnne M. Ngo, University of Washington; Micaela Moricet, University of Washington; Elizabeth A. Sanders, University of Washington
Structural After Measurement Estimation of n-Level Structural Equation Models - Benjamin Kelcey, University of Cincinnati