Latent Growth Curve Modeling

Author: Kristopher J. Preacher
Publisher: SAGE
ISBN: 1412939550
Format: PDF, ePub, Docs
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Provides easy-to-follow, didactic examples of several common growth modeling approaches

Democracies and Dictatorships in Latin America

Author: Scott Mainwaring
Publisher: Cambridge University Press
ISBN: 0521190010
Format: PDF, Mobi
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Presents a new theory for why democracies and dictatorships emerge and then survive or collapse via analyses of political regimes in Latin America since 1900.

The Reviewer s Guide to Quantitative Methods in the Social Sciences

Author: Gregory R. Hancock
Publisher: Routledge
ISBN: 1135172994
Format: PDF
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The Reviewer’s Guide is designed for reviewers of research manuscripts and proposals in the social and behavioral sciences, and beyond. Its uniquely structured chapters address traditional and emerging quantitative methods of data analysis.

Multilevel Analysis

Author: Joop J. Hox
Publisher: Routledge
ISBN: 1317308670
Format: PDF, Docs
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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 Association Graph and the Multigraph for Loglinear Models

Author: Harry J. Khamis
Publisher: SAGE
ISBN: 1452238952
Format: PDF, ePub
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The Association Graph and the Multigraph for Loglinear Models will help students, particularly those studying the analysis of categorical data, to develop the ability to evaluate and unravel even the most complex loglinear models without heavy calculations or statistical software. This supplemental text reviews loglinear models, explains the association graph, and introduces the multigraph to students who may have little prior experience of graphical techniques, but have some familiarity with categorical variable modeling. The author presents logical step-by-step techniques from the point of view of the practitioner, focusing on how the technique is applied to contingency table data and how the results are interpreted.

The SAGE Handbook of Quantitative Methodology for the Social Sciences

Author: David Kaplan
Publisher: SAGE Publications
ISBN: 1483365875
Format: PDF, Docs
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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.

Longitudinal and Panel Data

Author: Edward W. Frees
Publisher: Cambridge University Press
ISBN: 9780521535380
Format: PDF, Kindle
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An introduction to foundations and applications for quantitatively oriented graduate social-science students and individual researchers.

Longitudinal Structural Equation Modeling

Author: Todd D. Little
Publisher: Guilford Press
ISBN: 1462510272
Format: PDF, Kindle
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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 (www.guilford.com/little-materials) 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).