New methods for the analysis of change
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Differential Structural Equation Modeling of Intraindividual Variability - Steven M. Boker Toward a Coherent Framework for Comparing Trajectories of Individual Change - Stephen W. Raudenbush A Structural Equation Modeling Approach to the General Linear Mixed Model - Michael J. Rovine and Peter C. M. Molenaar The Best of Both Worlds: Combining Autoregressive and Latent Curve Models - Patrick J. Curran and Kenneth A. Bollin Latent Differences Score Structural Models for Linear Curve Models - John J. McArdle and Fumiaki Hamagami Second-Order Latent Growth Model - Aline G. Sayer and Patricio E. Cumsille The Role of Factorial Invariance in Modeling Growth and Change - William Meredith and John Horn Trait-State Models for Longitudinal Data - David A. Kenny and Alex Zautra Reliability for Static and Dynamic Categorical Latent Variables: Developing Measurement Instruments Based on a Model of the Growth Process - Linda M. Collins Second-Generation Structural Equation Modeling With a Combination of Categorical and Continuous Latent Variables: New Opportunities for Latent Class-Latent Growth Modeling - Bent Muthen Planned Missing Data Design in an Analysis of Change - John W. Graham, Bonnie J. Taylor, and Patricio E. Cumsille Multiple Imputation With PAN - Joseph L. Schafer