Latent growth curve modeling
By: Kristopher J. Preacher ... [et al.].
Contributors: Preacher, Kristopher J.
Series: Quantitative applications in the social sciences -- 157
Publisher: Sage Publications; SAGE Publications, Inc
Published: 2008
Place of publication: Thousand Oaks, Calif
Language: eng
Number of pages: 112
ISBN-13: 9781412939553
Subjects: Latent structure analysis; Latent variables; Longitudinal method; Social sciences -- Statistical methods
Description: "Latent growth curve modeling (LGM) - a special case of confirmatory factor analysis designed to model change over time - is an indispensable and increasingly ubiquitous approach for modeling longitudinal data. This volume introduces LGM techniques to researchers, provides easy-to-follow, didactic examples of several common growth modeling approaches, and highlights recent advancements regarding the treatment of missing data, parameter estimation, and model fit.

The book covers the basic linear LGM, and builds from there to describe more complex functional forms (e.g., polynomial latent curves), multivariate latent growth curves used to model simultaneous change in multiple variables, the inclusion of time-varying covariates, predictors of aspects of change, cohort-sequential designs, and multiple-group models. The authors also highlight approaches to dealing with missing data, different estimation methods, and incorporate discussion of model evaluation and comparison within the context of LGM. The models demonstrate how they may be applied to longitudinal data derived from the NICHD Study of Early Child Care and Youth Development (SECCYD)."--pub. desc.
Notes: Includes bibliographical references and index.