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Applications and Advances in Structural Equation Modeling (Table 6)
Sun, April 27, 8:00 to 9:30am MDT (8:00 to 9:30am MDT), The Colorado Convention Center, Floor: Ballroom Level, Four Seasons Ballroom 2-3Session Type: Roundtable Session
Sub Unit
Chair
Papers
A Structural After-Measurement Approach for Structural Equation Models With Latent Interactions and Missing Data - Kyle T. Cox, University of North Carolina - Charlotte; Benjamin Kelcey, University of Cincinnati; Onima Vadakke Thodiyil, University of North Carolina - Charlotte
Comparison of Smoothing Approaches to Polychoric Correlation Matrices in CFA (Confirmatory Factor Analysis) - Yijun Cheng, University of Washington; Oscar L. Olvera Astivia, University of Washington
Detecting Transition Points in the Slope-Intercept Relation in Linear Latent Growth Models: Bayesian Semiparametric Approach - Dayeon Lee, University of Maryland; Gregory R. Hancock, University of Maryland
Evaluating the Impact of Measurement Bias on Classification Accuracy in Multiple Data Points Measurement - Qing Wang, University of New Mexico; Hok Chio Mark Lai, University of Southern California; Yu-Yu Hsiao, University of New Mexico
Missing Data in Multilevel Structural Equation Models: A Multilevel Structural-After-Measurement Estimation Approach - Benjamin Kelcey, University of Cincinnati; Fangxing Bai, Montana State University; Amota Ataneka, University of Cincinnati