Chapter: Diffential structural equation modeling of intraindividual variability

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Home > New methods for the analysis of change > Diffential structural equation modeling of intraindividual variability

New methods for the analysis of change |

Linda M. Collins

American Psychological Association

Diffential structural equation modeling of intraindividual variability

Chapter Info

Authors

Steven M. Boker

ARI Id

1668551185677_21708932

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Chapters/Headings	Author(s)	Pages	Info
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; Peter C.M. Molenaar
The best of both worlds: combining autoregressive and latent curve models	Patrick J. Curran; Kenneth A. Bollen
Latent difference score structural models for linear dynamic analyses with incomplete longitudinal data	John J. McArdle; Fumiaki Hamagami
Second-order latent growth models	Aline G. Sayer; Patricio E. Cumsille
The role of factorial invariance in modeling growth and change	William Meredith; John Horn
Trait-State models for longitudinal data	David A. Kenny; 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; Patricio E. Cumsille
Multiple imputation with PAN	Joseph L. Schafer.
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