TOC: Structural Equation Modeling


Structural Equation Modeling: A Multidisciplinary Journal, 20(4)

A Comparison of Strategies for Forming Product Indicators for Unequal Numbers of Items in Structural Equation Models of Latent Interactions
Yan Wu, Zhonglin Wen, Herbert W. Marsh & Kit-Tai Hau [Publisher] [Google Scholar]

Exploratory Latent Growth Models in the Structural Equation Modeling Framework
Kevin J. Grimm, Joel S. Steele, Nilam Ram & John R. Nesselroade [Publisher] [Google Scholar]

A Unified Latent Growth Curve Model
Chueh-An Hsieh, Alexander von Eye, Kimberly Maier, Hsin-Jung Hsieh & Shi-Hsiung Chen [Publisher] [Google Scholar]

Modeling Unobserved Heterogeneity Using Latent Profile Analysis: A Monte Carlo Simulation
James Peugh & Xitao Fan [Publisher] [Google Scholar]

Statistical Power to Detect the Correct Number of Classes in Latent Profile Analysis
Jenn-Yun Tein, Stefany Coxe & Heining Cham [Publisher] [Google Scholar]

A Bayesian Approach to a Multiple-Group Latent Class-Profile Analysis: The Timing of Drinking Onset and Subsequent Drinking Behaviors Among U.S. Adolescents
Hwan Chung & James C. Anthony [Publisher] [Google Scholar]

Models and Strategies for Factor Mixture Analysis: An Example Concerning the Structure Underlying Psychological Disorders
Shaunna L. Clark, Bengt Muthén, Jaakko Kaprio, Brian M. D’Onofrio, Richard Viken & Richard J. Rose [Publisher] [Google Scholar]

Book Reviews

Applied Meta-Analysis for Social Science Research by N. A. Card
Mike W.-L. Cheung [Publisher]

Theories of Causality: From Antiquity to the Present by John Losee; The Oxford Handbook of Causation by Helen Beebee, Christopher Hitchcock, and Peter Menzies (Eds.)
Keith A. Markus [Publisher]

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