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OverviewFull Product DetailsAuthor: Linda M. Collins , Aline G. SayerPublisher: American Psychological Association Imprint: American Psychological Association Dimensions: Width: 15.60cm , Height: 3.60cm , Length: 23.40cm Weight: 0.889kg ISBN: 9781557987549ISBN 10: 1557987548 Pages: 512 Publication Date: 01 January 2001 Audience: College/higher education , Professional and scholarly , Undergraduate , Postgraduate, Research & Scholarly Format: Hardback Publisher's Status: Out of Print Availability: Out of stock Table of ContentsDifferential 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. SchaferReviewsAuthor InformationLinda M. Collins is affiliated with the University of Pennsylvania. Aline G. Sayer is affiliated with Harward Medical School in Amherst, MA. Tab Content 6Author Website:Countries AvailableAll regions |
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