data analysis with mplus methodology in the social sciences

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Data Analysis With Mplus

Author : Christian Geiser
ISBN : 9781462502455
Genre : Social Science
File Size : 58. 51 MB
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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.

The Sage Handbook Of Quantitative Methodology For The Social Sciences

Author : David Kaplan
ISBN : 9781483365879
Genre : Social Science
File Size : 60. 23 MB
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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.

Advanced Multivariate Data Analysis With Mplus

Author : Christian Geiser
ISBN : 3531166042
Genre : Education
File Size : 74. 63 MB
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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.

Handbook Of Aging And The Social Sciences

Author : Linda George
ISBN : 9780124172852
Genre : Psychology
File Size : 37. 38 MB
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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

An Introduction To Multilevel Modeling Techniques

Author : Ronald H. Heck
ISBN : STANFORD:36105131801933
Genre : Business & Economics
File Size : 83. 53 MB
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This comprehensive, applied approach to multilevel analysis is distinguished by its wide range of applications relevant to the behavioral, educational, organizational, and social sciences. Univariate and multivariate models are used to understand how to design studies and analyze data. Readers are encouraged to consider what they are investigating, their data, and the strengths and limitations of each technique before selecting their approach. Numerous examples and exercises allow readers to test their understanding of the techniques. Input programs from HLM and Mplus demonstrate how to set up and run the models. A latent variable conceptual framework is emphasized to show the commonality of the approaches and to make each technique more accessible. The first section is devoted to conceptual issues underlying multilevel modeling, while the second section develops several types of multilevel analyses including univariate regression, structural equation, growth curve and latent change, and latent variable mixture modeling. The new edition features: New chapters on multilevel longitudinal and categorical models 80% new exercises and examples website at http://www.psypress.com/multilevel-modeling-techniques/ providing datasets and program setups in HLM, SPSS, Mplus, and LISREL Increased emphasis on how multilevel techniques are used to examine changes in individuals and organizations over time. Ideal for introductory graduate level courses on multilevel and/or latent variable modeling, this book is intended for students and researchers in psychology, business, education, health, and sociology interested in understanding multilevel modeling. Prerequisites include an introduction to data analysis and univariate statistics.

Structural Equation Modeling With Mplus

Author : Barbara M. Byrne
ISBN : 9781136663451
Genre : Psychology
File Size : 52. 28 MB
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Modeled after Barbara Byrne’s other best-selling structural equation modeling (SEM) books, this practical guide reviews the basic concepts and applications of SEM using Mplus Versions 5 & 6. The author reviews SEM applications based on actual data taken from her own research. Using non-mathematical language, it is written for the novice SEM user. With each application chapter, the author "walks" the reader through all steps involved in testing the SEM model including: an explanation of the issues addressed illustrated and annotated testing of the hypothesized and post hoc models explanation and interpretation of all Mplus input and output files important caveats pertinent to the SEM application under study a description of the data and reference upon which the model was based the corresponding data and syntax files available at http://www.psypress.com/sem-with-mplus/datasets . The first two chapters introduce the fundamental concepts of SEM and important basics of the Mplus program. The remaining chapters focus on SEM applications and include a variety of SEM models presented within the context of three sections: Single-group analyses, Multiple-group analyses, and other important topics, the latter of which includes the multitrait-multimethod, latent growth curve, and multilevel models. Intended for researchers, practitioners, and students who use SEM and Mplus, this book is an ideal resource for graduate level courses on SEM taught in psychology, education, business, and other social and health sciences and/or as a supplement for courses on applied statistics, multivariate statistics, intermediate or advanced statistics, and/or research design. Appropriate for those with limited exposure to SEM or Mplus, a prerequisite of basic statistics through regression analysis is recommended.

Cross Cultural Analysis

Author : Eldad Davidov
ISBN : 9781135389918
Genre : Psychology
File Size : 21. 96 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.

Handbook Of Developmental Research Methods

Author : Brett Laursen
ISBN : 9781609189518
Genre : Social Science
File Size : 35. 88 MB
Format : PDF
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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.

Longitudinal Data Analysis

Author : Jason Newsom
ISBN : 9781136705472
Genre : Psychology
File Size : 59. 67 MB
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First Published in 2012. Routledge is an imprint of Taylor & Francis, an informa company.

Confirmatory Factor Analysis For Applied Research

Author : Timothy A. Brown
ISBN : 9781593852740
Genre : Social Science
File Size : 47. 82 MB
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The first and only complete resource on the details of using confirmatory factor analysis (CFA) as an analytic tool, this book emphasizes the practical and conceptual aspects of CFA over math and formulas. Rich examples are derived from actual research in psychology, management, and sociology.

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