An Introduction to Latent Variable Growth Curve Modeling
Concepts, Issues, and Application, Second Edition
Lawrence Erlbaum Associates Inc (Publisher)
Published on 1. February 1999
Book
Hardback
208 pages
978-0-8058-3060-6 (ISBN)
Article exhausted; check for reprint
Description
This volume presents Latent Variable Growth Curve Modeling for analyzing repeated measures. It is likely that most readers have already mastered many of LGM's underpinnings, in as much as repeated measures analysis of variance (ANOVA) models are special cases of LGMs that focus only on the factor means. In contrast, a fully expanded latent growth curve analysis takes into account both factor means and variances. LGMs are also variants of the standard linear structural model. In addition to using regression coefficients and variances and covariances of the independent variables, they incorporate a mean structure into the model. The book features two major themes--concepts and issues, and applications--and is designed to take advantage of the reader's familiarity with ANOVA and standard procedures in introducing LGM techniques and presenting practical examples.
More details
Series
Language
English
Place of publication
Mahwah
United States
Publishing group
Taylor & Francis Inc
Target group
College/higher education
Dimensions
Height: 229 mm
Width: 152 mm
ISBN-13
978-0-8058-3060-6 (9780805830606)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions

Terry E. Duncan | Susan C. Duncan | Lisa A. Strycker
An Introduction to Latent Variable Growth Curve Modeling
Concepts, Issues, and Application, Second Edition
Book
05/2006
2nd Edition
Routledge
€215.41
Shipment within 10-20 days
Content
Contents: Preface. Introduction. Specification of the LGM. LGM and Repeated Measures ANOVA. Analyzing Growth in Multiple Populations. Multivariate Representation of Growth and Development. Accelerated Designs. Testing Interaction Effects in LGMs. Missing Data Models. Multilevel Longitudinal Approaches. Latent Variable Framework for LGM Power Estimation. Summary. Appendices.