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Data Analysis With Mplus

Author: Christian Geiser
Publisher: Guilford Press
ISBN: 1462502458
Size: 51.66 MB
Format: PDF, ePub
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A practical introduction to using Mplus for the analysis of multivariate data, this volume provides step-by-step guidance, complete with real data examples, numerous screen shots, and output excerpts. The author shows how to prepare a data set for import in Mplus using SPSS. He explains how to specify different types of models in Mplus syntax and address typical caveats--for example, assessing measurement invariance in longitudinal SEMs. Coverage includes path and factor analytic models as well as mediational, longitudinal, multilevel, and latent class models. Specific programming tips and solution strategies are presented in boxes in each chapter. The companion website (http://crmda.ku.edu/guilford/geiser) features data sets, annotated syntax files, and output for all of the examples. Of special utility to instructors and students, many of the examples can be run with the free demo version of Mplus.

Advanced Multivariate Data Analysis With Mplus

Author: Christian Geiser
Publisher: Springer VS
ISBN: 9783531166049
Size: 70.58 MB
Format: PDF
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Der zweite Band von "Datenanalyse mit Mplus" wendet sich an fortgeschrittene Anwender, die über solides statistisches Hintergrundwissen und erste Mplus-Kenntnisse verfügen. Wie geht man mit ordinalen oder dichtomen Variablen um? Wie mit einer Verletzung der Nomalverteilungsannahme? In vielen Forschungskontexten steht die Betrachtung mehrerer Gruppen im Vordergrund, andernorts sucht man nach Modellen zur Kombination von Strukturgleichungs-, Mehrebenen- und Latent-Class-Modellen. Darüber hinaus setzen Forscher verstärkt moderne Methoden zum Umgang mit fehlenden Daten sowie Stichproben- und Teststärkeplanung ein. Diese und weitere Fragen werden praxisnah und Schritt für Schritt erläutert.

Bayesian Statistics For The Social Sciences

Author: David Kaplan
Publisher: Guilford Publications
ISBN: 1462516513
Size: 54.38 MB
Format: PDF, ePub, Mobi
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Bridging the gap between traditional classical statistics and a Bayesian approach, David Kaplan provides readers with the concepts and practical skills they need to apply Bayesian methodologies to their data analysis problems. Part I addresses the elements of Bayesian inference, including exchangeability, likelihood, prior/posterior distributions, and the Bayesian central limit theorem. Part II covers Bayesian hypothesis testing, model building, and linear regression analysis, carefully explaining the differences between the Bayesian and frequentist approaches. Part III extends Bayesian statistics to multilevel modeling and modeling for continuous and categorical latent variables. Kaplan closes with a discussion of philosophical issues and argues for an "evidence-based" framework for the practice of Bayesian statistics. User-Friendly Features *Includes worked-through, substantive examples, using large-scale educational and social science databases, such as PISA (Program for International Student Assessment) and the LSAY (Longitudinal Study of American Youth). *Utilizes open-source R software programs available on CRAN (such as MCMCpack and rjags); readers do not have to master the R language and can easily adapt the example programs to fit individual needs. *Shows readers how to carefully warrant priors on the basis of empirical data. *Companion website features data and code for the book's examples, plus other resources.

Handbook Of Aging And The Social Sciences

Author: Linda George
Publisher: Academic Press
ISBN: 0124172857
Size: 75.88 MB
Format: PDF, Docs
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Handbook of Aging and the Social Sciences, Eighth Edition, presents the extraordinary growth of research on aging individuals, populations, and the dynamic culmination of the life course, providing a comprehensive synthesis and review of the latest research findings in the social sciences of aging. As the complexities of population dynamics, cohort succession, and policy changes modify the world and its inhabitants in ways that must be vigilantly monitored so that aging research remains relevant and accurate, this completely revised edition not only includes the foundational, classic themes of aging research, but also a rich array of emerging topics and perspectives that advance the field in exciting ways. New topics include families, immigration, social factors, and cognition, caregiving, neighborhoods, and built environments, natural disasters, religion and health, and sexual behavior, amongst others. Covers the key areas in sociological gerontology research in one volume, with an 80% update of the material Headed up by returning editor Linda K. George, and new editor Kenneth Ferraro, highly respected voices and researchers within the sociology of aging discipline Assists basic researchers in keeping abreast of research and clinical findings Includes theory and methods, aging and social structure, social factors and social institutions, and aging and society Serves as a useful resource—an inspiration to those searching for ways to contribute to the aging enterprise, and a tribute to the rich bodies of scholarship that comprise aging research in the social sciences

The Sage Handbook Of Quantitative Methodology For The Social Sciences

Author: David Kaplan
Publisher: SAGE
ISBN: 0761923594
Size: 49.48 MB
Format: PDF, ePub
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The SAGE Handbook of Quantitative Methodology for the Social Sciences is the definitive reference for teachers, students, and researchers of quantitative methods in the social sciences, as it provides a comprehensive overview of the major techniques used in the field. The contributors, top methodologists and researchers, have written about their areas of expertise in ways that convey the utility of their respective techniques, but, where appropriate, they also offer a fair critique of these techniques. Relevance to real-world problems in the social sciences is an essential ingredient of each chapter and makes this an invaluable resource.

Cross Cultural Analysis

Author: Eldad Davidov
Publisher: Routledge
ISBN: 1135389918
Size: 66.26 MB
Format: PDF
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Intended to bridge the gap between the latest methodological developments and cross-cultural research, this interdisciplinary resource presents the latest strategies for analyzing cross-cultural data. Techniques are demonstrated through the use of applications that employ cross national data sets such as the latest European Social Survey. With an emphasis on the generalized latent variable approach, internationally–prominent researchers from a variety of fields explain how the methods work, how to apply them, and how they relate to other methods presented in the book. Syntax and graphical and verbal explanations of the techniques are included. A website features some of the data sets and syntax commands used in the book. Applications from the behavioral and social sciences that use real data-sets demonstrate: The use of samples from 17 countries to validate the resistance to change scale across these nations How to test the cross-national invariance properties of social trust The interplay between social structure, religiosity, values, and social attitudes A comparison of anti-immigrant attitudes and patterns of religious orientations across European countries. The book is divided into techniques for analyzing cross-cultural data within the generalized-latent-variable approach: multiple-group confirmatory factor analysis and multiple-group structural equation modeling; multi-level analysis; latent class analysis; and item-response theory. Since researchers from various disciplines often use different methodological approaches, a consistent framework for describing and applying each method is used so as to cross ‘methodological borders’ between disciplines. Some chapters describe the basic strategy and how it relates to other techniques presented in the book, others apply the techniques and address specific research questions, and a few combine the two. A table in the preface highlights for each chapter: a description of the contents, the statistical methods used, the goal(s) of the analysis, and the data set employed. This book is intended for researchers, practitioners, and advanced students interested in cross-cultural research. Because the applications span a variety of disciplines, the book will appeal to researchers and students in: psychology, political science, sociology, education, marketing and economics, geography, criminology, psychometrics, epidemiology, and public health, as well as those interested in methodology. It is also appropriate for an advanced methods course in cross-cultural analysis.

Longitudinal Structural Equation Modeling

Author: Todd D. Little
Publisher: Guilford Press
ISBN: 1462510167
Size: 46.52 MB
Format: PDF, ePub
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Featuring actual datasets as illustrative examples, this book reveals numerous ways to apply structural equation modeling (SEM) to any repeated-measures study. Initial chapters lay the groundwork for modeling a longitudinal change process, from measurement, design, and specification issues to model evaluation and interpretation. Covering both big-picture ideas and technical "how-to-do-it" details, the author deftly walks through when and how to use longitudinal confirmatory factor analysis, longitudinal panel models (including the multiple-group case), multilevel models, growth curve models, and complex factor models, as well as models for mediation and moderation. User-friendly features include equation boxes that clearly explain the elements in every equation, end-of-chapter glossaries, and annotated suggestions for further reading. The companion website (http: //crmda.ku.edu/guilford/little) provides datasets for all of the examples--which include studies of bullying, adolescent students' emotions, and healthy aging--with syntax and output from LISREL, Mplus, and R (lavaan).

Handbook Of Developmental Research Methods

Author: Brett Laursen
Publisher: Guilford Press
ISBN: 1609189515
Size: 47.80 MB
Format: PDF, Mobi
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Appropriate for use in developmental research methods or analysis of change courses, this is the first methods handbook specifically designed to meet the needs of those studying development. Leading developmental methodologists present cutting-edge analytic tools and describe how and when to use them, in accessible, nontechnical language. They also provide valuable guidance for strengthening developmental research with designs that anticipate potential sources of bias. Throughout the chapters, research examples demonstrate the procedures in action and give readers a better understanding of how to match research questions to developmental methods. The companion website (www.guilford.com/laursen-materials) supplies data and program syntax files for many of the chapter examples.

Applications Of Research Methodology

Author: Thomas E. Scruggs
Publisher: Emerald Group Publishing
ISBN: 0762312955
Size: 13.39 MB
Format: PDF, Docs
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Research in learning and behavioral disabilities, employing a variety of methods and techniques, has provided information relevant to practitioners. This volume discusses, applies and evaluates different methodological approaches to learning and behavioral disorder research; and serves as a reference to educators, researchers, and others.

Principles And Practice Of Structural Equation Modeling Fourth Edition

Author: Rex B. Kline
Publisher: Guilford Publications
ISBN: 146252334X
Size: 10.21 MB
Format: PDF
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New to This Edition *Extensively revised to cover important new topics: Pearl' s graphing theory and SCM, causal inference frameworks, conditional process modeling, path models for longitudinal data, item response theory, and more. *Chapters on best practices in all stages of SEM, measurement invariance in confirmatory factor analysis, and significance testing issues and bootstrapping. *Expanded coverage of psychometrics. *Additional computer tools: online files for all detailed examples, previously provided in EQS, LISREL, and Mplus, are now also given in Amos, Stata, and R (lavaan). *Reorganized to cover the specification, identification, and analysis of observed variable models separately from latent variable models. Pedagogical Features *Exercises with answers, plus end-of-chapter annotated lists of further reading. *Real examplesof troublesome data, demonstrating how to handle typical problems in analyses.