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
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 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