Handbook of Advanced Multilevel Analysis

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Release : 2011-01-11
Genre : Psychology
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Book Rating : 27X/5 ( reviews)

Handbook of Advanced Multilevel Analysis - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Handbook of Advanced Multilevel Analysis write by Joop Hox. This book was released on 2011-01-11. Handbook of Advanced Multilevel Analysis available in PDF, EPUB and Kindle. This new handbook is the definitive resource on advanced topics related to multilevel analysis. The editors assembled the top minds in the field to address the latest applications of multilevel modeling as well as the specific difficulties and methodological problems that are becoming more common as more complicated models are developed. Each chapter features examples that use actual datasets. These datasets, as well as the code to run the models, are available on the book’s website http://www.hlm-online.com . Each chapter includes an introduction that sets the stage for the material to come and a conclusion. Divided into five sections, the first provides a broad introduction to the field that serves as a framework for understanding the latter chapters. Part 2 focuses on multilevel latent variable modeling including item response theory and mixture modeling. Section 3 addresses models used for longitudinal data including growth curve and structural equation modeling. Special estimation problems are examined in section 4 including the difficulties involved in estimating survival analysis, Bayesian estimation, bootstrapping, multiple imputation, and complicated models, including generalized linear models, optimal design in multilevel models, and more. The book’s concluding section focuses on statistical design issues encountered when doing multilevel modeling including nested designs, analyzing cross-classified models, and dyadic data analysis. Intended for methodologists, statisticians, and researchers in a variety of fields including psychology, education, and the social and health sciences, this handbook also serves as an excellent text for graduate and PhD level courses in multilevel modeling. A basic knowledge of multilevel modeling is assumed.

Handbook of Multilevel Analysis

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Release : 2007-12-26
Genre : Mathematics
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Book Rating : 865/5 ( reviews)

Handbook of Multilevel Analysis - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Handbook of Multilevel Analysis write by Jan Deleeuw. This book was released on 2007-12-26. Handbook of Multilevel Analysis available in PDF, EPUB and Kindle. This book presents the state of the art in multilevel analysis, with an emphasis on more advanced topics. These topics are discussed conceptually, analyzed mathematically, and illustrated by empirical examples. Multilevel analysis is the statistical analysis of hierarchically and non-hierarchically nested data. The simplest example is clustered data, such as a sample of students clustered within schools. Multilevel data are especially prevalent in the social and behavioral sciences and in the biomedical sciences. The chapter authors are all leading experts in the field. Given the omnipresence of multilevel data in the social, behavioral, and biomedical sciences, this book is essential for empirical researchers in these fields.

The SAGE Handbook of Multilevel Modeling

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Release : 2013-08-31
Genre : Social Science
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Book Rating : 314/5 ( reviews)

The SAGE Handbook of Multilevel Modeling - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook The SAGE Handbook of Multilevel Modeling write by Marc A. Scott. This book was released on 2013-08-31. The SAGE Handbook of Multilevel Modeling available in PDF, EPUB and Kindle. In this important new Handbook, the editors have gathered together a range of leading contributors to introduce the theory and practice of multilevel modeling. The Handbook establishes the connections in multilevel modeling, bringing together leading experts from around the world to provide a roadmap for applied researchers linking theory and practice, as well as a unique arsenal of state-of-the-art tools. It forges vital connections that cross traditional disciplinary divides and introduces best practice in the field. Part I establishes the framework for estimation and inference, including chapters dedicated to notation, model selection, fixed and random effects, and causal inference. Part II develops variations and extensions, such as nonlinear, semiparametric and latent class models. Part III includes discussion of missing data and robust methods, assessment of fit and software. Part IV consists of exemplary modeling and data analyses written by methodologists working in specific disciplines. Combining practical pieces with overviews of the field, this Handbook is essential reading for any student or researcher looking to apply multilevel techniques in their own research.

Multilevel Analysis

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Release : 2011-10-30
Genre : Reference
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Book Rating : 33X/5 ( reviews)

Multilevel Analysis - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Multilevel Analysis write by Tom A B Snijders. This book was released on 2011-10-30. Multilevel Analysis available in PDF, EPUB and Kindle. The Second Edition of this classic text introduces the main methods, techniques and issues involved in carrying out multilevel modeling and analysis. Snijders and Bosker′s book is an applied, authoritative and accessible introduction to the topic, providing readers with a clear conceptual and practical understanding of all the main issues involved in designing multilevel studies and conducting multilevel analysis. This book provides step-by-step coverage of: • multilevel theories • ecological fallacies • the hierarchical linear model • testing and model specification • heteroscedasticity • study designs • longitudinal data • multivariate multilevel models • discrete dependent variables There are also new chapters on: • missing data • multilevel modeling and survey weights • Bayesian and MCMC estimation and latent-class models. This book has been comprehensively revised and updated since the last edition, and now discusses modeling using HLM, MLwiN, SAS, Stata including GLLAMM, R, SPSS, Mplus, WinBugs, Latent Gold, and SuperMix. This is a must-have text for any student, teacher or researcher with an interest in conducting or understanding multilevel analysis. Tom A.B. Snijders is Professor of Statistics in the Social Sciences at the University of Oxford and Professor of Statistics and Methodology at the University of Groningen. Roel J. Bosker is Professor of Education and Director of GION, Groningen Institute for Educational Research, at the University of Groningen.

Handbook of Structural Equation Modeling

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Release : 2023-02-17
Genre : Business & Economics
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Book Rating : 649/5 ( reviews)

Handbook of Structural Equation Modeling - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Handbook of Structural Equation Modeling write by Rick H. Hoyle. This book was released on 2023-02-17. Handbook of Structural Equation Modeling available in PDF, EPUB and Kindle. "This accessible volume presents both the mechanics of structural equation modeling (SEM) and specific SEM strategies and applications. The editor, along with an international group of contributors, and editorial advisory board are leading methodologists who have organized the book to move from simpler material to more statistically complex modeling approaches. Sections cover the foundations of SEM; statistical underpinnings, from assumptions to model modifications; steps in implementation, from data preparation through writing the SEM report; and basic and advanced applications, including new and emerging topics in SEM. Each chapter provides conceptually oriented descriptions, fully explicated analyses, and engaging examples that reveal modeling possibilities for use with readers' data. Many of the chapters also include access to data and syntax files at the companion website, allowing readers to try their hands at reproducing the authors' results"--