SIG-Multilevel Modeling

Hsien-Yuan Hsu, The University of Mississippi

Clustered Data Mean You Need Multilevel Models, Right? - Daniel McNeish, University of Maryland; Laura M. Stapleton, University of Maryland

Comparing the Performance of Multivariate Multilevel Modeling Using the Kenward-Roger Adjustment to Traditional Analyses - Ryoungsun Park, Wayne State University; Keenan A. Pituch, The University of Texas - Austin; Jiseon Kim, University of Washington - Seattle; Hyewon Chung, Chungnam National University; Barbara G. Dodd, The University of Texas - Austin

Further Investigating the Level-Specific Fit Indices in Multilevel Structural Equation Modeling - Hsien-Yuan Hsu, The University of Mississippi; Jr-Hung Lin, National Chiao Tung University

Growth Modeling: Akaike and Bayesian Information Criteria and Sample Size Considerations - Sarah D. Newton, University of Connecticut; D. Betsy Mccoach, University of Connecticut

Investigating the Efficiency of Polytomous Hierarchical Generalized Linear Models in Exploratory Differential Item Functioning Assessment - Jyun-Hong Chen, National Sun Yat-sen University; Cheng-Te Chen, National Chung Cheng University; Ching-Lin Shih, National Sun Yat-sen Universit

Sufficient Number of Clusters and Cluster Size for the Three-Level Random-Intercept Multivariate Multilevel Model - Wanchen Chang, Boise State University; Keenan A. Pituch, The University of Texas - Austin; Susan Natasha Beretvas, The University of Texas - Austin