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hardcover. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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Growth Modeling: Structural Equation and Multilevel Modeling Approaches (Methodology in the Social Sciences)
Book 17 of 33: Methodology in the Social SciencesSeller: World of Books (was SecondSale), Montgomery, IL, U.S.A.
Seller rating 5 out of 5 stars
Condition: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.
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Growth Modeling : Structural Equation and Multilevel Modeling Approaches
Book 17 of 33: Methodology in the Social SciencesLanguage: English
Published by Guilford Publications, 2016
ISBN 10: 1462526063 ISBN 13: 9781462526062
Condition: Very Good. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
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Condition: As New. Unread book in perfect condition.
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Growth Modeling: Structural Equation and Multilevel Modeling Approaches (Methodology in the Social Sciences)
Book 17 of 33: Methodology in the Social SciencesLanguage: English
Published by Guilford Publications, Incorporated, 2016
ISBN 10: 1462526063 ISBN 13: 9781462526062
Condition: New. pp. 537.
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Growth Modeling : Structural Equation and Multilevel Modeling Approaches
Book 17 of 33: Methodology in the Social SciencesSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Growth Modeling : Structural Equation and Multilevel Modeling Approaches
Book 17 of 33: Methodology in the Social SciencesSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Growth Modeling: Structural Equation and Multilevel Modeling Approaches (Methodology in the Social Sciences)
Book 17 of 33: Methodology in the Social SciencesLanguage: English
Published by Guilford Publications, Incorporated, 2016
ISBN 10: 1462526063 ISBN 13: 9781462526062
Condition: New. pp. 537.
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Hardcover. Condition: Brand New. 1st edition. 537 pages. 10.00x7.25x1.25 inches. In Stock.
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Growth Modeling: Structural Equation and Multilevel Modeling Approaches (Methodology in the Social Sciences)
Book 17 of 33: Methodology in the Social SciencesLanguage: English
Published by Guilford Publications, Incorporated, 2016
ISBN 10: 1462526063 ISBN 13: 9781462526062
Condition: New. pp. 537.
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Growth Modeling: Structural Equation and Multilevel Modeling Approaches
Book 17 of 33: Methodology in the Social SciencesLanguage: English
Published by Guilford Publications, 2016
ISBN 10: 1462526063 ISBN 13: 9781462526062
Condition: New. Kevin J. Grimm, PhD, is Professor in the Department of Psychology at Arizona State University, where he teaches graduate courses on quantitative methods. His research interests include longitudinal methodology, exploratory data analysis, and data integra.
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Growth Modeling : Structural Equation and Multilevel Modeling Approaches
Book 17 of 33: Methodology in the Social SciencesLanguage: English
Published by Guilford Publications Okt 2016, 2016
ISBN 10: 1462526063 ISBN 13: 9781462526062
Buch. Condition: Neu. Neuware - 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.
