New Methods for the Analysis of Change

Author:   Linda M. Collins ,  Aline G. Sayer
Publisher:   American Psychological Association
ISBN:  

9781557987549


Pages:   512
Publication Date:   01 January 2001
Format:   Hardback
Availability:   Out of stock   Availability explained


Our Price $131.87 Quantity:  
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New Methods for the Analysis of Change


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Full Product Details

Author:   Linda M. Collins ,  Aline G. Sayer
Publisher:   American Psychological Association
Imprint:   American Psychological Association
Dimensions:   Width: 15.60cm , Height: 3.60cm , Length: 23.40cm
Weight:   0.889kg
ISBN:  

9781557987549


ISBN 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   Availability explained

Table of Contents

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

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Author Information

Linda M. Collins is affiliated with the University of Pennsylvania. Aline G. Sayer is affiliated with Harward Medical School in Amherst, MA.

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