Handbook Of Advanced Multilevel Analysis

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Handbook of Advanced Multilevel Analysis

Joop Hox,J. Kyle Roberts
Handbook of Advanced Multilevel Analysis Book PDF

Author : Joop Hox,J. Kyle Roberts
Publisher : Psychology Press
Page : 408 pages
File Size : 52,9 Mb
Release : 2011-01-11
Category : Psychology
ISBN : 9781136951275

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Handbook of Advanced Multilevel Analysis by Joop Hox,J. Kyle Roberts Pdf

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

Jan Deleeuw,Erik Meijer
Handbook of Multilevel Analysis Book PDF

Author : Jan Deleeuw,Erik Meijer
Publisher : Springer Science & Business Media
Page : 494 pages
File Size : 48,7 Mb
Release : 2007-12-26
Category : Mathematics
ISBN : 9780387731865

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Handbook of Multilevel Analysis by Jan Deleeuw,Erik Meijer Pdf

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.

Multilevel Analysis

Tom A. B. Snijders,Roel J. Bosker
Multilevel Analysis Book PDF

Author : Tom A. B. Snijders,Roel J. Bosker
Publisher : SAGE
Page : 282 pages
File Size : 45,8 Mb
Release : 1999
Category : Mathematics
ISBN : 0761958908

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Multilevel Analysis by Tom A. B. Snijders,Roel J. Bosker Pdf

Multilevel analysis covers all the main methods, techniques and issues for carrying out multilevel modeling and analysis. The approach is applied, and less mathematical than many other textbooks.

Multilevel Analysis

Tom A B Snijders,Roel J Bosker
Multilevel Analysis Book PDF

Author : Tom A B Snijders,Roel J Bosker
Publisher : SAGE
Page : 369 pages
File Size : 43,7 Mb
Release : 2011-10-30
Category : Reference
ISBN : 9781446254332

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Multilevel Analysis by Tom A B Snijders,Roel J Bosker Pdf

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.

Doing Meta-Analysis with R

Mathias Harrer,Pim Cuijpers,Toshi A. Furukawa,David D. Ebert
Doing Meta Analysis with R Book PDF

Author : Mathias Harrer,Pim Cuijpers,Toshi A. Furukawa,David D. Ebert
Publisher : CRC Press
Page : 500 pages
File Size : 44,8 Mb
Release : 2021-09-15
Category : Mathematics
ISBN : 9781000435634

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Doing Meta-Analysis with R by Mathias Harrer,Pim Cuijpers,Toshi A. Furukawa,David D. Ebert Pdf

Doing Meta-Analysis with R: A Hands-On Guide serves as an accessible introduction on how meta-analyses can be conducted in R. Essential steps for meta-analysis are covered, including calculation and pooling of outcome measures, forest plots, heterogeneity diagnostics, subgroup analyses, meta-regression, methods to control for publication bias, risk of bias assessments and plotting tools. Advanced but highly relevant topics such as network meta-analysis, multi-three-level meta-analyses, Bayesian meta-analysis approaches and SEM meta-analysis are also covered. A companion R package, dmetar, is introduced at the beginning of the guide. It contains data sets and several helper functions for the meta and metafor package used in the guide. The programming and statistical background covered in the book are kept at a non-expert level, making the book widely accessible. Features • Contains two introductory chapters on how to set up an R environment and do basic imports/manipulations of meta-analysis data, including exercises • Describes statistical concepts clearly and concisely before applying them in R • Includes step-by-step guidance through the coding required to perform meta-analyses, and a companion R package for the book

The SAGE Handbook of Multilevel Modeling

Marc A. Scott,Jeffrey S. Simonoff,Brian D. Marx
The SAGE Handbook of Multilevel Modeling Book PDF

Author : Marc A. Scott,Jeffrey S. Simonoff,Brian D. Marx
Publisher : SAGE
Page : 745 pages
File Size : 54,9 Mb
Release : 2013-08-31
Category : Social Science
ISBN : 9781473971318

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The SAGE Handbook of Multilevel Modeling by Marc A. Scott,Jeffrey S. Simonoff,Brian D. Marx Pdf

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.

Handbook of Structural Equation Modeling

Rick H. Hoyle
Handbook of Structural Equation Modeling Book PDF

Author : Rick H. Hoyle
Publisher : Guilford Publications
Page : 801 pages
File Size : 40,9 Mb
Release : 2023-02-17
Category : Business & Economics
ISBN : 9781462544646

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Handbook of Structural Equation Modeling by Rick H. Hoyle Pdf

"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"--

The Handbook of Multilevel Theory, Measurement, and Analysis

Stephen E. Humphrey,James M. LeBreton
The Handbook of Multilevel Theory Measurement and Analysis Book PDF

Author : Stephen E. Humphrey,James M. LeBreton
Publisher : American Psychological Association (APA)
Page : 0 pages
File Size : 51,9 Mb
Release : 2019
Category : Business & Economics
ISBN : 1433830019

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The Handbook of Multilevel Theory, Measurement, and Analysis by Stephen E. Humphrey,James M. LeBreton Pdf

This handbook shows scholars how to conduct multilevel research. Chapters discuss the importance of context, dynamics, and complexity, and guide readers through the nuances of research design and analysis

Multilevel Analysis

Joop J. Hox,Mirjam Moerbeek,Rens van de Schoot
Multilevel Analysis Book PDF

Author : Joop J. Hox,Mirjam Moerbeek,Rens van de Schoot
Publisher : Routledge
Page : 348 pages
File Size : 41,5 Mb
Release : 2017-09-14
Category : Psychology
ISBN : 9781317308683

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Multilevel Analysis by Joop J. Hox,Mirjam Moerbeek,Rens van de Schoot Pdf

Applauded for its clarity, this accessible introduction helps readers apply multilevel techniques to their research. The book also includes advanced extensions, making it useful as both an introduction for students and as a reference for researchers. Basic models and examples are discussed in nontechnical terms with an emphasis on understanding the methodological and statistical issues involved in using these models. The estimation and interpretation of multilevel models is demonstrated using realistic examples from various disciplines including psychology, education, public health, and sociology. Readers are introduced to a general framework on multilevel modeling which covers both observed and latent variables in the same model, while most other books focus on observed variables. In addition, Bayesian estimation is introduced and applied using accessible software.

The Oxford Handbook of Quantitative Methods in Psychology: Vol. 2

Todd D. Little
The Oxford Handbook of Quantitative Methods in Psychology Vol 2 Book PDF

Author : Todd D. Little
Publisher : Unknown
Page : 785 pages
File Size : 46,6 Mb
Release : 2013-03-21
Category : Psychology
ISBN : 9780199934898

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The Oxford Handbook of Quantitative Methods in Psychology: Vol. 2 by Todd D. Little Pdf

The Oxford Handbook of Quantitative Methods in Psychology provides an accessible and comprehensive review of the current state-of-the-science and a one-stop source for learning and reviewing current best-practices in a quantitative methods across the social, behavioral, and educational sciences.

The Oxford Handbook of Quantitative Methods, Vol. 2: Statistical Analysis

Todd D. Little
The Oxford Handbook of Quantitative Methods Vol 2 Statistical Analysis Book PDF

Author : Todd D. Little
Publisher : Oxford University Press
Page : 784 pages
File Size : 55,6 Mb
Release : 2013-02-01
Category : Psychology
ISBN : 9780199934904

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The Oxford Handbook of Quantitative Methods, Vol. 2: Statistical Analysis by Todd D. Little Pdf

Research today demands the application of sophisticated and powerful research tools. Fulfilling this need, The Oxford Handbook of Quantitative Methods is the complete tool box to deliver the most valid and generalizable answers to todays complex research questions. It is a one-stop source for learning and reviewing current best-practices in quantitative methods as practiced in the social, behavioral, and educational sciences. Comprising two volumes, this handbook covers a wealth of topics related to quantitative research methods. It begins with essential philosophical and ethical issues related to science and quantitative research. It then addresses core measurement topics before delving into the design of studies. Principal issues related to modern estimation and mathematical modeling are also detailed. Topics in the handbook then segway into the realm of statistical inference and modeling with chapters dedicated to classical approaches as well as modern latent variable approaches. Numerous chapters associated with longitudinal data and more specialized techniques round out this broad selection of topics. Comprehensive, authoritative, and user-friendly, this two-volume set will be an indispensable resource for serious researchers across the social, behavioral, and educational sciences.

Multilevel Modeling in Plain Language

Karen Robson,David Pevalin
Multilevel Modeling in Plain Language Book PDF

Author : Karen Robson,David Pevalin
Publisher : SAGE
Page : 166 pages
File Size : 54,8 Mb
Release : 2015-11-02
Category : Social Science
ISBN : 9781473934306

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Multilevel Modeling in Plain Language by Karen Robson,David Pevalin Pdf

Have you been told you need to do multilevel modeling, but you can′t get past the forest of equations? Do you need the techniques explained with words and practical examples so they make sense? Help is here! This book unpacks these statistical techniques in easy-to-understand language with fully annotated examples using the statistical software Stata. The techniques are explained without reliance on equations and algebra so that new users will understand when to use these approaches and how they are really just special applications of ordinary regression. Using real life data, the authors show you how to model random intercept models and random coefficient models for cross-sectional data in a way that makes sense and can be retained and repeated. This book is the perfect answer for anyone who needs a clear, accessible introduction to multilevel modeling.

Multilevel Modeling Using R

W. Holmes Finch,Jocelyn E. Bolin,Ken Kelley
Multilevel Modeling Using R Book PDF

Author : W. Holmes Finch,Jocelyn E. Bolin,Ken Kelley
Publisher : CRC Press
Page : 242 pages
File Size : 40,8 Mb
Release : 2019-07-16
Category : Mathematics
ISBN : 9781351062251

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Multilevel Modeling Using R by W. Holmes Finch,Jocelyn E. Bolin,Ken Kelley Pdf

Like its bestselling predecessor, Multilevel Modeling Using R, Second Edition provides the reader with a helpful guide to conducting multilevel data modeling using the R software environment. After reviewing standard linear models, the authors present the basics of multilevel models and explain how to fit these models using R. They then show how to employ multilevel modeling with longitudinal data and demonstrate the valuable graphical options in R. The book also describes models for categorical dependent variables in both single level and multilevel data. New in the Second Edition: Features the use of lmer (instead of lme) and including the most up to date approaches for obtaining confidence intervals for the model parameters. Discusses measures of R2 (the squared multiple correlation coefficient) and overall model fit. Adds a chapter on nonparametric and robust approaches to estimating multilevel models, including rank based, heavy tailed distributions, and the multilevel lasso. Includes a new chapter on multivariate multilevel models. Presents new sections on micro-macro models and multilevel generalized additive models. This thoroughly updated revision gives the reader state-of-the-art tools to launch their own investigations in multilevel modeling and gain insight into their research. About the Authors: W. Holmes Finch is the George and Frances Ball Distinguished Professor of Educational Psychology at Ball State University. Jocelyn E. Bolin is a Professor in the Department of Educational Psychology at Ball State University. Ken Kelley is the Edward F. Sorin Society Professor of IT, Analytics and Operations and the Associate Dean for Faculty and Research for the Mendoza College of Business at the University of Notre Dame.

Handbook of Data Analysis

Melissa A Hardy,Alan Bryman
Handbook of Data Analysis Book PDF

Author : Melissa A Hardy,Alan Bryman
Publisher : SAGE
Page : 728 pages
File Size : 41,5 Mb
Release : 2009-06-17
Category : Social Science
ISBN : 9781446203446

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Handbook of Data Analysis by Melissa A Hardy,Alan Bryman Pdf

Electronic Inspection Copy available for instructors here 'This book provides an excellent reference guide to basic theoretical arguments, practical quantitative techniques and the methodologies that the majority of social science researchers are likely to require for postgraduate study and beyond' - Environment and Planning 'The book provides researchers with guidance in, and examples of, both quantitative and qualitative modes of analysis, written by leading practitioners in the field. The editors give a persuasive account of the commonalities of purpose that exist across both modes, as well as demonstrating a keen awareness of the different things that each offers the practising researcher' - Clive Seale, Brunel University 'With the appearance of this handbook, data analysts no longer have to consult dozens of disparate publications to carry out their work. The essential tools for an intelligent telling of the data story are offered here, in thirty chapters written by recognized experts. ' - Michael Lewis-Beck, F Wendell Miller Distinguished Professor of Political Science, University of Iowa 'This is an excellent guide to current issues in the analysis of social science data. I recommend it to anyone who is looking for authoritative introductions to the state of the art. Each chapter offers a comprehensive review and an extensive bibliography and will be invaluable to researchers wanting to update themselves about modern developments' - Professor Nigel Gilbert, Pro Vice-Chancellor and Professor of Sociology, University of Surrey This is a book that will rapidly be recognized as the bible for social researchers. It provides a first-class, reliable guide to the basic issues in data analysis, such as the construction of variables, the characterization of distributions and the notions of inference. Scholars and students can turn to it for teaching and applied needs with confidence. The book also seeks to enhance debate in the field by tackling more advanced topics such as models of change, causality, panel models and network analysis. Specialists will find much food for thought in these chapters. A distinctive feature of the book is the breadth of coverage. No other book provides a better one-stop survey of the field of data analysis. In 30 specially commissioned chapters the editors aim to encourage readers to develop an appreciation of the range of analytic options available, so they can choose a research problem and then develop a suitable approach to data analysis.

Multilevel Analysis

Joop J. Hox,Mirjam Moerbeek,Rens van de Schoot
Multilevel Analysis Book PDF

Author : Joop J. Hox,Mirjam Moerbeek,Rens van de Schoot
Publisher : Routledge
Page : 539 pages
File Size : 49,7 Mb
Release : 2010-09-13
Category : Psychology
ISBN : 9781136975349

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Multilevel Analysis by Joop J. Hox,Mirjam Moerbeek,Rens van de Schoot Pdf

This practical introduction helps readers apply multilevel techniques to their research. Noted as an accessible introduction, the book also includes advanced extensions, making it useful as both an introduction and as a reference to students, researchers, and methodologists. Basic models and examples are discussed in non-technical terms with an emphasis on understanding the methodological and statistical issues involved in using these models. The estimation and interpretation of multilevel models is demonstrated using realistic examples from various disciplines. For example, readers will find data sets on stress in hospitals, GPA scores, survey responses, street safety, epilepsy, divorce, and sociometric scores, to name a few. The data sets are available on the website in SPSS, HLM, MLwiN, LISREL and/or Mplus files. Readers are introduced to both the multilevel regression model and multilevel structural models. Highlights of the second edition include: Two new chapters—one on multilevel models for ordinal and count data (Ch. 7) and another on multilevel survival analysis (Ch. 8). Thoroughly updated chapters on multilevel structural equation modeling that reflect the enormous technical progress of the last few years. The addition of some simpler examples to help the novice, whilst the more complex examples that combine more than one problem have been retained. A new section on multivariate meta-analysis (Ch. 11). Expanded discussions of covariance structures across time and analyzing longitudinal data where no trend is expected. Expanded chapter on the logistic model for dichotomous data and proportions with new estimation methods. An updated website at http://www.joophox.net/ with data sets for all the text examples and up-to-date screen shots and PowerPoint slides for instructors. Ideal for introductory courses on multilevel modeling and/or ones that introduce this topic in some detail taught in a variety of disciplines including: psychology, education, sociology, the health sciences, and business. The advanced extensions also make this a favorite resource for researchers and methodologists in these disciplines. A basic understanding of ANOVA and multiple regression is assumed. The section on multilevel structural equation models assumes a basic understanding of SEM.