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.
An Introduction to Basic and Advanced Multilevel Modeling
Author: Tom A B Snijders,Roel J Bosker
Dieses Lehrbuch vermittelt die theoretischen Grundlagen sowie die praktische Anwendung der Mehrebenenanalyse, dies es erlaubt, den Einfluss des sozialen Kontextes auf das individuelle Handeln zu bestimmen. Anhand von Datensätzen aus der empirischen Schulforschung, wie sie in Deutschland mit der PISA 2000-Studie bekannt geworden ist, werden die praktischen Grundlagen der Mehrebenenanalyse vermittelt, wobei das Freeware-Programm MLA zum Einsatz gelangt. Die im Buch verwendeten Freeware-Programme und Datensätze sind über das Internet direkt kostenlos beziehbar. Das Lehrbuch richtet sich an Dozierende und Studierende weiterführender Statistikkurse der BA/MA Studiengänge in quantitativer Sozialforschung. Vorausgesetzt werden lediglich Kenntnisse des linearen Regressionsmodells.
eine Einführung für Forschung und Praxis
Author: Wolfgang Langer
Category: Multilevel models (Statistics)
Univariate and multivariate multilevel models are used to understand how to design studies and analyze data in this comprehensive text distinguished by its variety of applications from the educational, behavioral, and social sciences. Basic and advanced models are developed from the multilevel regression (MLM) and latent variable (SEM) traditions within one unified analytic framework for investigating hierarchical data. The authors provide examples using each modeling approach and also explore situations where alternative approaches may be more appropriate, given the research goals. Numerous examples and exercises allow readers to test their understanding of the techniques presented. Changes to the new edition include: -The use of Mplus 7.2 for running the analyses including the input and data files at www.routledge.com/9781848725522. -Expanded discussion of MLM and SEM model-building that outlines the steps taken in the process, the relevant Mplus syntax, and tips on how to evaluate the models. -Expanded pedagogical program now with chapter objectives, boldfaced key terms, a glossary, and more tables and graphs to help students better understand key concepts and techniques. -Numerous, varied examples developed throughout which make this book appropriate for use in education, psychology, business, sociology, and the health sciences. -Expanded coverage of missing data problems in MLM using ML estimation and multiple imputation to provide currently-accepted solutions (Ch. 10). -New chapter on three-level univariate and multilevel multivariate MLM models provides greater options for investigating more complex theoretical relationships(Ch.4). -New chapter on MLM and SEM models with categorical outcomes facilitates the specification of multilevel models with observed and latent outcomes (Ch.8). -New chapter on multilevel and longitudinal mixture models provides readers with options for identifying emergent groups in hierarchical data (Ch.9). -New chapter on the utilization of sample weights, power analysis, and missing data provides guidance on technical issues of increasing concern for research publication (Ch.10). Ideal as a text for graduate courses on multilevel, longitudinal, latent variable modeling, multivariate statistics, or advanced quantitative techniques taught in psychology, business, education, health, and sociology, this book’s practical approach also appeals to researchers. Recommended prerequisites are introductory univariate and multivariate statistics.
MLM and SEM Approaches Using Mplus, Third Edition
Author: Ronald H. Heck,Scott L. Thomas
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.
Author: Joop Hox,J. Kyle Roberts
Das Handbuch der sozialwissenschaftlichen Datenanalyse bietet in über 40 Kapiteln eine umfassende Darstellung multivariater Analyseverfahren. Schwerpunkte des Handbuchs bilden Grundlagen der Datenanalyse, regressionsanalytische Verfahren für Quer- und Längsschnittsdaten sowie Skalierungsverfahren. Behandelt werden u. a. OLS-, logistische und robuste Regression, Strukturgleichungsmodelle, Mehrebenen-, Panel-, Ereignisdaten- und Zeitreihenanalyse, MDS und Rasch-Modelle. Darüber hinaus werden viele neuere Verfahren dargestellt, etwa multiple Imputation, Bootstrappen, Analyse latenter Klassen und propensity score matching. Jedes Kapitel beginnt mit einer allgemein verständlichen Einführung. Es folgt eine Darstellung der mathematisch-statistischen Grundlagen. Anschließend wird jedes Verfahren anhand eines sozialwissenschaftlichen Beispiels vorgestellt. Die Beiträge enden mit Hinweisen auf typische Anwendungsfehler und einer kommentierten Literaturempfehlung.
Author: Christof Wolf,Henning Best
Category: Political Science
Das Handbuch verschafft einen umfassenden Überblick über die quantitativen und qualitativen Methoden der Organisationsforschung. Die übergreifende Struktur, die durchgängige Herangehensweise und der hohe Praxisbezug versetzen Wissenschaftler, Studierende und insbesondere Praktiker in die Lage, das Methodeninstrumentarium der Organisationsforschung gezielt für eigene Zwecke zu nutzen.
Quantitative und Qualitative Methoden
Author: Stefan Kühl,Petra Strodtholz,Andreas Taffertshofer
This comprehensive, flexible text is used in both one- and two-semester courses to review introductory through intermediate statistics. Instructors select the topics that are most appropriate for their course. Its conceptual approach helps students more easily understand the concepts and interpret SPSS and research results. Key concepts are simply stated and occasionally reintroduced and related to one another for reinforcement. Numerous examples demonstrate their relevance. This edition features more explanation to increase understanding of the concepts. Only crucial equations are included. In addition to updating throughout, the new edition features: New co-author, Debbie L. Hahs-Vaughn, the 2007 recipient of the University of Central Florida's College of Education Excellence in Graduate Teaching Award. A new chapter on logistic regression models for today's more complex methodologies. More on computing confidence intervals and conducting power analyses using G*Power. Many more SPSS screenshots to assist with understanding how to navigate SPSS and annotated SPSS output to assist in the interpretation of results. Extended sections on how to write-up statistical results in APA format. New learning tools including chapter-opening vignettes, outlines, and a list of key concepts, many more examples, tables, and figures, boxes, and chapter summaries. More tables of assumptions and the effects of their violation including how to test them in SPSS. 33% new conceptual, computational, and all new interpretative problems. A website that features PowerPoint slides, answers to the even-numbered problems, and test items for instructors, and for students the chapter outlines, key concepts, and datasets that can be used in SPSS and other packages, and more. Each chapter begins with an outline, a list of key concepts, and a vignette related to those concepts. Realistic examples from education and the behavioral sciences illustrate those concepts. Each example examines the procedures and assumptions and provides instructions for how to run SPSS, including annotated output, and tips to develop an APA style write-up. Useful tables of assumptions and the effects of their violation are included, along with how to test assumptions in SPSS. 'Stop and Think' boxes provide helpful tips for better understanding the concepts. Each chapter includes computational, conceptual, and interpretive problems. The data sets used in the examples and problems are provided on the web. Answers to the odd-numbered problems are given in the book. The first five chapters review descriptive statistics including ways of representing data graphically, statistical measures, the normal distribution, and probability and sampling. The remainder of the text covers inferential statistics involving means, proportions, variances, and correlations, basic and advanced analysis of variance and regression models. Topics not dealt with in other texts such as robust methods, multiple comparison and nonparametric procedures, and advanced ANOVA and multiple and logistic regression models are also reviewed. Intended for one- or two-semester courses in statistics taught in education and/or the behavioral sciences at the graduate and/or advanced undergraduate level, knowledge of statistics is not a prerequisite. A rudimentary knowledge of algebra is required.
Author: Debbie L Hahs-Vaughn,Richard G Lomax
Naturwissenschaftliche Kompetenzen für die Welt von morgen Sind die Schülerinnen und Schüler gut auf die Herausforderungen der Zukunft vorbereitet? Können sie analysieren, logisch denken und ihre Ideen effektiv kommunizieren? Haben sie die ...
Naturwissenschaftliche Kompetenzen für die Welt von morgen
Publisher: OECD Publishing
"Provides a unique perspective. I am particularly impressed with the sections on innovative design and methods to investigate cognitive aging and the integrative perspectives. None of the existing texts covers this material to the same level." —Donna J. La Voie, Saint Louis University "The emphasis on integrating the literature with theoretical and methodological innovations could have a far-reaching impact on the field." —Deb McGinnis, Oakland University The Handbook of Cognitive Aging: Interdisciplinary Perspectives clarifies the differences in patterns and processes of cognitive aging. Along with a comprehensive review of current research, editors Scott M. Hofer and Duane F. Alwin provide a solid foundation for building a multidisciplinary agenda that will stimulate further rigorous research into these complex factors. Key Features Gathers the widest possible range of perspectives by including cognitive aging experts in various disciplines while maintaining a degree of unity across chapters Examines the limitations of the extant literature, particularly in research design and measurement, and offers new suggestions to guide future research Highlights the broad scope of the field with topics ranging from demography to development to neuroscience, offering the most complete coverage available on cognitive aging
Author: Scott M. Hofer,Duane F Alwin
The chapters in this volume were developed as a follow-up to the Summer Institute entitled "Continuity and Change: Family Structure and Process" conducted by the second Family Research Consortium. The goal of this book is to provide readers with a greater understanding of both the conceptual issues involved in the study of continuity and change in families, and also some of the methodological approaches that have been developed for investigating families over time.
Theory, Methods and Empirical Findings
Author: Rand D. Conger,Frederick O. Lorenz,K.A.S. Wickrama
A new edition of the definitive guide to logistic regression modeling for health science and other applications This thoroughly expanded Third Edition provides an easily accessible introduction to the logistic regression (LR) model and highlights the power of this model by examining the relationship between a dichotomous outcome and a set of covariables. Applied Logistic Regression, Third Edition emphasizes applications in the health sciences and handpicks topics that best suit the use of modern statistical software. The book provides readers with state-of-the-art techniques for building, interpreting, and assessing the performance of LR models. New and updated features include: A chapter on the analysis of correlated outcome data A wealth of additional material for topics ranging from Bayesian methods to assessing model fit Rich data sets from real-world studies that demonstrate each method under discussion Detailed examples and interpretation of the presented results as well as exercises throughout Applied Logistic Regression, Third Edition is a must-have guide for professionals and researchers who need to model nominal or ordinal scaled outcome variables in public health, medicine, and the social sciences as well as a wide range of other fields and disciplines.
Author: David W. Hosmer, Jr.,Stanley Lemeshow,Rodney X. Sturdivant
Publisher: John Wiley & Sons
This book is among the first to systematically explore the impact of community inequality on reporting political and social change. Although most journalism scholars are still fascinated by the impact of media on society, Media and Social Inequality explores the reverse perspective: the impact of society on media. Using a 'community structure' approach, and rejecting the perspective that studies of media and audiences can be reduced to the individual level of psychological phenomena, all contributions examine connections between community-level 'macro' characteristics and variations in the coverage of critical issues. This innovative book differs from previous community structure volumes in two ways. First, contributions explore a far wider range of community characteristics by employing creative methodologies, modern archives, and databases that facilitate larger, more diverse samples; multilevel and longitudinal analyses; composite measures of both 'content' and editorial judgment; new technologies; and social network analysis. Second, a traditional emphasis on media as instruments of political and social 'control' is replaced by media as potential mirrors of social 'change,' exploring 'bottom-up' measures of 'vulnerability', 'concentrated disadvantage', and 'ethnic diversity/pluralism'. The volume contains two original chapters: one on nationwide US coverage of the "Occupy" movement in the expanded introduction, and another on nationwide US coverage of universal health care. This book was originally published as a special issue of Mass Communication and Society.
Innovations in Community Structure Research
Author: John C. Pollock
Category: Social Science
In dem Band beschreiben die Autoren erstmals klassische Regressionsansätze und moderne nicht- und semiparametrische Methoden in einer integrierten und anwendungsorientierten Form. Um Lesern die Analyse eigener Fragestellungen zu ermöglichen, demonstrieren sie die praktische Anwendung der Konzepte und Methoden anhand ausführlicher Fallstudien. Geeignet für Studierende der Statistik sowie für Wissenschaftler und Praktiker, zum Beispiel in den Wirtschafts- und Sozialwissenschaften, der Bioinformatik und -statistik, Ökonometrie und Epidemiologie.
Modelle, Methoden und Anwendungen
Author: Ludwig Fahrmeir,Thomas Kneib,Stefan Lang
Category: Business & Economics
"The handbook is an impressive collection of research studies and theories provided by knowledgeable contributors on life-span development from conception to old age."--Anthropology and Aging Quarterly The doubling of our average life span since the turn of the 20th century is considered by many scholars to be one of the most important changes in human existence. This definitive text is the only volume to fully address, through a multidisciplinary perspective, the biological, cognitive, and psychological development that occurs from infancy through old age, and how the sociocultural and institutional factors interface with these changes. Edited by leading research scholars in the field of life-span development, the volume also includes contributions of specialists in behavioral genetics, socioemotional selectivity theory, neuroscience, ecological models, and more. It examines the dynamics of close relationships and informal ties among the elderly population, child-parent attachment relationships as a life-span phenomenon, developmental tasks across the lifespan, continuity and discontinuity in temperament and personality, the sociocultural context of cognition across the life span, and variability in approaches to social problem solving from early to later life. Given the number of recent demographic shifts, it also explores issues related to fertility, life expectancy, environmental contexts, technology, immigration, and public policy. Key Features: Integrates the full life span from infancy through old age in each chapter Considers multidisciplinary perspectives that address personal relationships, cognitive development, and social, emotional, and physical health across the life span Situates life-span development in ecological contexts (e.g., socioeconomic, neighborhood, and immigration status) Provides a concise but thorough resource for graduate seminars in life-span-related studies Highlights future issues in all areas of life-span study
Author: Lawerence K.W. Berg, PhD, Esq.,Karen L. Fingerman, PhD,Jacqui Smith, PhD,Cynthia Berg, PhD
Publisher: Springer Publishing Company
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.
Techniques and Applications, Third Edition
Author: Joop J. Hox,Mirjam Moerbeek,Rens van de Schoot
The Europe of Elites is the first comprehensive study about how European political and economic leaders think and feel about Europe and about what course future European integration should take.
A Study Into the Europeanness of Europe's Political and Economic Elites
Author: Heinrich Best,György Lengyel,Luca Verzichelli
Publisher: Oxford University Press
Category: Political Science
First Published in 2010. Routledge is an imprint of Taylor & Francis, an informa company.
Author: Ronald H. Heck,Scott L. Thomas,Lynn N. Tabata
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.
Techniques and Applications, Second Edition
Author: Joop Hox