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Factor Analysis and Structural Equation Modeling in Educational Research
Thu, April 11, 12:40 to 2:10pm, Pennsylvania Convention Center, Floor: Level 100, Room 116Session Type: Paper Session
Abstract
This session highlights combined and applied use of factor analytics models and structural equations in educational research.
Sub Unit
Chair
Papers
A Finite Mixture Multilevel Structural Equation Model for Unobserved Heterogeneity in Random Variability - Yi Feng, University of California - Los Angeles
Bayesian Mediation Analysis for Crossed Random Effects Designs - Pei-Yu Marian Pan, University of Illinois at Urbana-Champaign; Carolyn J. Anderson, University of Illinois at Urbana-Champaign
Do Literacy-Focused and Content-Rich Texts Make a Difference for Reading Achievement in the Primary Grades? - Yi Shang, John Carroll University; Dan Reynolds, SRI International
Enhancing Factor Analysis: Evaluating Factor Retention Accuracy With Measurement Error - Youngwon Kim, Harvard University; Elizabeth A. Sanders, University of Washington
Structural After Measurement Estimation With Missing Data in Structural Equation Models - Benjamin Kelcey, University of Cincinnati; Fangxing Bai, Montana State University; Kyle T. Cox, University of North Carolina - Charlotte; Yanli Xie, Florida State University; Amota Ataneka, University of Cincinnati