Growth Modeling
Structural Equation and Multilevel Modeling Approaches
By Kevin J. Grimm, Nilam Ram, Ryne Estabrook | Publisher: Guilford Publications
About the book
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.
User-Friendly Features
*Real, worked-through longitudinal data examples serving as illustrations in each chapter.
*Script boxes that provide code for fitting the models to example data and facilitate application to the reader's own data.
*\"Important Considerations\" sections offering caveats, warnings, and recommendations for the use of specific models.
*Companion website supplying datasets and syntax for the book's examples, along with additional code in SAS/R for linear mixed-effects modeling.
Winner--Barbara Byrne Book Award from the Society of Multivariate Experimental Psychology
Editions of Growth Modeling
- Hardcover
- ISBN 9781462526062
- PDF
- ISBN 9781462526079
Read an Excerpt
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.
User-Friendly Features
*Real, worked-through longitudinal data examples serving as illustrations in each chapter.
*Script boxes that provide code for fitting the models to example data and facilitate application to the reader's own data.
*\"Important Considerations\" sections offering caveats, warnings, and recommendations for the use of specific models.
*Companion website supplying datasets and syntax for the book's examples, along with additional code in SAS/R for linear mixed-effects modeling.
Winner--Barbara Byrne Book Award from the Society of Multivariate Experimental Psychology
Frequently Asked Questions
What is Growth Modeling about?
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.
User-Friendly Features
*Real, worked-through longitudinal data examples serving as illustrations in each chapter.
*Script boxes that provide code for fitting the models to example data and facilitate application to the reader's own data.
*\"Important Considerations\" sections offering caveats, warnings, and recommendations for the use of specific models.
*Companion website supplying datasets and syntax for the book's examples, along with additional code in SAS/R for linear mixed-effects modeling.
Winner--Barbara Byrne Book Award from the Society of Multivariate Experimental Psychology
What core themes, tropes, or subjects are explored in Growth Modeling?
Society and Social Sciences > Sociology and anthropology > Sociology > Social research and statistics
Where can I read a sample of Growth Modeling?
You can read an official preview of the few pages here https://www.book2look.com/book/9781462526062
Is Growth Modeling part of a series, and can it be read as a standalone?
Yes it is a part of series Methodology in the Social Sciences Series
Who is/are the Author/s of the book Growth Modeling?
Kevin J. Grimm, Nilam Ram, Ryne Estabrook
What are the ISBN numbers for the physical and digital editions?
Growth Modeling is available as hardcover(ISBN 9781462526062) and pdf(ISBN 9781462526079)
Where can I buy Growth Modeling online or support local independent bookshops?
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Where can I buy Growth Modeling?