Growth Modeling - Info and Reading Options
Structural Equation and Multilevel Modeling Approaches
By Kevin J. Grimm, Nilam Ram and Ryne Estabrook
"Growth Modeling" is published by The Guilford Press in Oct 17, 2016, it has 537 pages and the language of the book is English.
“Growth Modeling” Metadata:
- Title: Growth Modeling
- Authors: Kevin J. GrimmNilam RamRyne Estabrook
- Language: English
- Number of Pages: 537
- Publisher: The Guilford Press
- Publish Date: Oct 17, 2016
“Growth Modeling” Subjects and Themes:
- Subjects: ➤ Social sciences, statistical methods - Social sciences, mathematical models - Longitudinal method - Social sciences - Statistical methods - Mathematical models
Edition Specifications:
- Format: hardcover
Edition Identifiers:
- The Open Library ID: OL27705631M - OL20476425W
- Online Computer Library Center (OCLC) ID: 926062148
- Library of Congress Control Number (LCCN): 2016021792
- ISBN-13: 9781462526062
- ISBN-10: 1462526063
- All ISBNs: 1462526063 - 9781462526062
AI-generated Review of “Growth Modeling”:
"Growth Modeling" Description:
The Open Library:
Growth models are among the core methods for analyzing how and when people change. Discussing both structural equation and multilevel modeling approaches, this book leads readers step by step through applying each model to longitudinal data to answer particular research questions. It demonstrates cutting-edge ways to describe linear and nonlinear change patterns, examine within-person and between-person differences in change, study change in latent variables, identify leading and lagging indicators of change, evaluate co-occurring patterns of change across multiple variables, and more. User-friendly features include real data examples, code (for Mplus or NLMIXED in SAS, and OpenMx or nlme in R), discussion of the output, and interpretation of each model's results.--
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