SIG-Structural Equation Modeling

D. Betsy Mccoach, University of Connecticut

Data-Dependent Priors for Latent Growth Models with Small Samples - Daniel McNeish, University of Maryland

Detecting Appropriate Trajectories of Growth in Latent Growth Models: The Performance of Information-Based Criteria - Tiffany Ann Whittaker, The University of Texas - Austin; Jam Khojasteh, Oklahoma State University - Tulsa

Identifying Heterogeneous Growth Trajectories With Skew-T Growth Mixture Models - Ling Ning, University of California - Davis; Wen Luo, Texas A&M University - College Station; Shuqiong Lin, Texas A&M University - College Station

Feasible Sample Size Determination in Confirmatory Factor Analysis - Jennifer Koran, Southern Illinois University - Carbondale

The Performance of Growth Mixture Modeling With Skew-T Distribution and Covariates - Min Liu, University of Hawaii - Manoa

Testing the Effectiveness of Muthén's Maximum Likelihood (MUML) Estimation Method for Dyadic Data in Multilevel Structural Equation Models - Yu Su, University of Florida; Walter L. Leite, University of Florida

Gregory R. Hancock, University of Maryland