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READ BOOK Growth Modeling: Structural Equation And Multilevel Modeling Approaches (Methodology In The Social Sciences)

 

 

 

Growth Modeling: Structural Equation and Multilevel Modeling Approaches (Methodology in the Social Sciences)

by Kevin J. Grimm PhD

rating: 5.0 (1 reviews)

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"This is by far the most comprehensive, up-to-date, and ready-to-use book on growth modeling that I have ever seen. The authors have proven records in effectively teaching classes and workshops on longitudinal data analysis. This is a 'must have' for anyone who wants to develop or apply growth models. The SAS, Mplus, and OpenMx example scripts and instructions are long-needed complements to those programs' respective manuals. Coverage includes the most recent developments in growth modeling, and each chapter essentially can stand by itself, providing enough information for researchers to apply the respective models in their studies to answer more complex and interesting empirical questions. The book can be used in a range of classes either as a main text or a supplement. I will definitely recommend it to students in my Structural Equation Modeling class when I teach structural growth curve modeling."--Zhiyong Johnny Zhang, PhD, Department of Psychology, University of Notre Dame

"The implementation details are superb and the level of technical detail quite stunning. It will be so helpful for longitudinal researchers to have this compendium of growth models, complete with sample code from both SEM and multilevel modeling frameworks. It is wonderful to see the item response theory and SEM frameworks so nicely integrated. The authors have hit the trifecta--pulling together multilevel modeling, SEM, and item response theory. There is truly no other book on the market that covers latent growth modeling so completely and comprehensively."--D. Betsy McCoach, PhD, Measurement, Evaluation, and Assessment Program, Neag School of Education, University of Connecticut

"This is the most thorough work on this subject that I know of; the coverage of nonlinear models is among the best I have seen. The book is written at a level suitable for an advanced graduate student learning this material or an applied researcher seeking a reference on the subject. It introduces the basics, discusses the relevant model theory/specification, and presents programming code for several packages. The authors do an exceptional job of explaining the computer code and providing insight into convergence issues and how to remedy them. It is good to have this all in one place (along with the respective output) for comparative purposes."--Daniel A. Powers, PhD, Department of Sociology, University of Texas at Austin

"This well-written book starts with clear statements about what research questions can be answered using growth models. Usefully, the authors include both multilevel modeling and SEM approaches, and analyze the example data within each framework using one proprietary program and one freely available R package. Viewing the detailed code and the results of each analysis gives the reader a chance to understand the strengths and weaknesses of each approach. Later chapters address such developments as nonlinear growth models and growth models for noncontinuous outcomes. Code for each variation is given, which expand the researcher's capacity to fit these complex models."--Yasuo Miyazaki, PhD, Associate Professor of Educational Research and Evaluation Program, Virginia Tech

 

 

Details:
rank: #835,034
price: $75.00
bound: 537 pages
publisher: The Guilford Press; 1 edition (April 4, 2017)
lang: English
asin: B06Y2K7WKC
isbn:
weight:
filesize: 41184 KB

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Growth Modeling: Structural Equation and Multilevel Modeling Approaches (Methodology in the Social Sciences) Kevin J. Grimm PhD

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Combining latent growth modeling with propensity score matching to estimate the time-varying effect of student mobility. Time Series Modeling, Bootstrap Resampling, & Partial Correlation Network Analysis ..structural equation modeling, and pedagogical methods for improving ..growth models, in which the slopes and intercepts of repeated measures ... models in longitudinal research, with examples from social research ..Software for structural equation modelling: AMOS and Mplus ..Duncan Eds.)Structural equation methods in the social sciences. Multilevel structural equation models for assessing moderation within and across ..within and across regional models, provides a more nuanced interpretationThe introduction of path analysis to the social sciences, and some. The Methodology Research Core provides statistical and methodological expertise ..In the past 2 decades latent variable modeling has become a standard tool in the social sciencesDiscussing both structural equation and multilevel modeling approaches, this book ..tent variable growth curve methodologyMplus Version 8 features new methods for analyzing intensive longitudinal ....Structural equation modelingDevelopment and usefulness of ...David Ain multiple linear regression, multilevel modeling, and latent curve analysis..Structural equation modeling, Multilevel modeling, Latent growth modeling ..A new approach to factor analysis: The radex b2ff6ad845

 

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