An edition of New methods for the analysis of change
(2001)
New methods for the analysis of change
1st ed.
by Linda M. Collins
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New methods for the analysis of change
2001, American Psychological Association
- 1st ed.
1557987548 9781557987549
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Book Details
Table of Contents
Diffential structural equation modeling of intraindividual variability / Steven M. Boker
Toward a coherent framework for comparing trajectories of individual change / Stephen W. Raudenbush
A structural equations 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. Bollen
Latent difference score structural models for linear dynamic analyses with incomplete longitudinal data / John J. McArdle and Fumiaki Hamagami
Second-order latent growth models / 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 / Bengt Muheń
Planned missing-data designs in analysis of change / John W. Graham, Bonnie J. Taylor, and Patricio E. Cumsille
Multiple imputation with PAN / Joseph L. Schafer.
Edition Notes
Based on a conference held in 1998 at The Pennsylvania State University, a follow-up to the Los Angeles conference Best Methods for the Analysis of Change.
Includes bibliographical references and indexes.
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