Structural Equation Modeling With Unknown Population Distributions: Ridge Generalized Least Squares
–Ke-Hai Yuan & Wai Chan [Publisher] [Google Scholar]

Preliminary Detection of Relations Among Dynamic Processes With Two-Occasion Data
–Corinne M. Henk & Laura Castro-Schilo [Publisher] [Google Scholar]

Monte Carlo Confidence Intervals for Complex Functions of Indirect Effects
–Davood Tofighi & David P. MacKinnon [Publisher] [Google Scholar]

A Poor Person’s Posterior Predictive Checking of Structural Equation Models
–Taehun Lee, Li Cai & Megan Kuhfeld [Publisher] [Google Scholar]

Regime Switching Modeling of Substance Use: Time-Varying and Second-Order Markov Models and Individual Probability Plots
–Michael C. Neale, Shaunna L. Clark, Conor V. Dolan & Michael D. Hunter [Publisher] [Google Scholar]

Power Computation for Likelihood Ratio Tests for the Transition Parameters in Latent Markov Models
–Dereje W. Gudicha, Verena D. Schmittmann & Jeroen K. Vermunt [Publisher] [Google Scholar]

Bayesian Quantile Structural Equation Models
–Yifan Wang, Xiang-Nan Feng & Xin-Yuan Song [Publisher] [Google Scholar]

Using Multilevel Regression Mixture Models to Identify Level-1 Heterogeneity in Level-2 Effects
–M. Lee Van Horn, Yuling Feng, Minjung Kim, Andrea Lamont, Daniel Feaster & Thomas Jaki [Publisher] [Google Scholar]

Evaluation of Multicomponent Measuring Instrument Reliability in Complex Design Studies
–Tenko Raykov & Anne Traynor [Publisher] [Google Scholar]

Relating Latent Class Membership to Continuous Distal Outcomes: Improving the LTB Approach and a Modified Three-Step Implementation
–Zsuzsa Bakk, Daniel L. Oberski & Jeroen K. Vermunt [Publisher] [Google Scholar]

Teacher’s Corner

The Impact of Varying the Number of Measurement Invariance Constraints on the Assessment of Between-Group Differences of Latent Means
–Yuning Xu & Samuel B. Green [Publisher] [Google Scholar]

Scale Reliability Evaluation Under Multiple Assumption Violations
–Tenko Raykov & George A. Marcoulides [Publisher] [Google Scholar]

Book Review

Review of Growth Curve Analysis and Visualization Using R, by Daniel Mirman
–David B. Flora [Publisher]

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