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Latent Growth Curve Modeling

Latent Growth Curve Modeling Author Kristopher J. Preacher
ISBN-10 9781412939553
Release 2008-06-27
Pages 96
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Provides easy-to-follow, didactic examples of several common growth modeling approaches

The Reviewer s Guide to Quantitative Methods in the Social Sciences

The Reviewer   s Guide to Quantitative Methods in the Social Sciences Author Gregory R. Hancock
ISBN-10 9781135172992
Release 2010-04-26
Pages 448
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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.

A Unified Model for the Analysis of Individual Latent Trajectories

A Unified Model for the Analysis of Individual Latent Trajectories Author Chueh-An Hsieh
ISBN-10 MSU:31293030635555
Release 2010
Pages 308
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A Unified Model for the Analysis of Individual Latent Trajectories has been writing in one form or another for most of life. You can find so many inspiration from A Unified Model for the Analysis of Individual Latent Trajectories also informative, and entertaining. Click DOWNLOAD or Read Online button to get full A Unified Model for the Analysis of Individual Latent Trajectories book for free.

Quantitative Narrative Analysis

Quantitative Narrative Analysis Author Roberto Franzosi
ISBN-10 9781412925259
Release 2010
Pages 175
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Researchers and students in the social sciences.

Longitudinal Structural Equation Modeling

Longitudinal Structural Equation Modeling Author Todd D. Little
ISBN-10 9781462510276
Release 2013-02-26
Pages 386
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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 ( 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).

The Association Graph and the Multigraph for Loglinear Models

The Association Graph and the Multigraph for Loglinear Models Author Harry J. Khamis
ISBN-10 9781452238951
Release 2011-01-12
Pages 136
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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

The SAGE Handbook of Quantitative Methodology for the Social Sciences Author David Kaplan
ISBN-10 9781483365879
Release 2004-06-21
Pages 528
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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.

Multilevel Analysis

Multilevel Analysis Author Joop J. Hox
ISBN-10 9781317308676
Release 2017-09-14
Pages 348
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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.

Longitudinal and Panel Data

Longitudinal and Panel Data Author Edward W. Frees
ISBN-10 0521535387
Release 2004-08-16
Pages 467
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An introduction to foundations and applications for quantitatively oriented graduate social-science students and individual researchers.

An Introduction to Latent Variable Growth Curve Modeling

An Introduction to Latent Variable Growth Curve Modeling Author Terry E. Duncan
ISBN-10 9781135601249
Release 2013-05-13
Pages 272
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This book provides a comprehensive introduction to latent variable growth curve modeling (LGM) for analyzing repeated measures. It presents the statistical basis for LGM and its various methodological extensions, including a number of practical examples of its use. It is designed to take advantage of the reader’s familiarity with analysis of variance and structural equation modeling (SEM) in introducing LGM techniques. Sample data, syntax, input and output, are provided for EQS, Amos, LISREL, and Mplus on the book’s CD. Throughout the book, the authors present a variety of LGM techniques that are useful for many different research designs, and numerous figures provide helpful diagrams of the examples. Updated throughout, the second edition features three new chapters—growth modeling with ordered categorical variables, growth mixture modeling, and pooled interrupted time series LGM approaches. Following a new organization, the book now covers the development of the LGM, followed by chapters on multiple-group issues (analyzing growth in multiple populations, accelerated designs, and multi-level longitudinal approaches), and then special topics such as missing data models, LGM power and Monte Carlo estimation, and latent growth interaction models. The model specifications previously included in the appendices are now available on the CD so the reader can more easily adapt the models to their own research. This practical guide is ideal for a wide range of social and behavioral researchers interested in the measurement of change over time, including social, developmental, organizational, educational, consumer, personality and clinical psychologists, sociologists, and quantitative methodologists, as well as for a text on latent variable growth curve modeling or as a supplement for a course on multivariate statistics. A prerequisite of graduate level statistics is recommended.

Multilevel Modeling

Multilevel Modeling Author Douglas A. Luke
ISBN-10 0761928790
Release 2004-07-08
Pages 79
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A practical introduction to multi-level modelling, this book offers an introduction to HLM & illustrations of how to use this technique to build models for hierarchical & longitudinal data.

A Life Course Perspective on Health Trajectories and Transitions

A Life Course Perspective on Health Trajectories and Transitions Author Claudine Burton-Jeangros
ISBN-10 9783319204840
Release 2015-08-11
Pages 213
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This open access book examines health trajectories and health transitions at different stages of the life course, including childhood, adulthood and later life. It provides findings that assess the role of biological and social transitions on health status over time. The essays examine a wide range of health issues, including the consequences of military service on body mass index, childhood obesity and cardiovascular health, socio-economic inequalities in preventive health care use, depression and anxiety during the child rearing period, health trajectories and transitions in people with cystic fibrosis and oral health over the life course. The book addresses theoretical, empirical and methodological issues as well as examines different national contexts, which help to identify factors of vulnerability and potential resources that support resilience available for specific groups and/or populations. Health reflects the ability of individuals to adapt to their social environment. This book analyzes health as a dynamic experience. It examines how different aspects of individual health unfold over time as a result of aging but also in relation to changing socioeconomic conditions. It also offers readers potential insights into public policies that affect the health status of a population.

Quantitative social science

Quantitative social science Author Jacqueline Scott
ISBN-10 1412907403
Release 2005-11-23
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Quantitative social science has been writing in one form or another for most of life. You can find so many inspiration from Quantitative social science also informative, and entertaining. Click DOWNLOAD or Read Online button to get full Quantitative social science book for free.

Structural Equation Modeling

Structural Equation Modeling Author Jichuan Wang
ISBN-10 9781118356302
Release 2012-07-31
Pages 480
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A reference guide for applications of SEM using Mplus Structural Equation Modeling: Applications Using Mplus is intended as both a teaching resource and a reference guide. Written in non-mathematical terms, this book focuses on the conceptual and practical aspects of Structural Equation Modeling (SEM). Basic concepts and examples of various SEM models are demonstrated along with recently developed advanced methods, such as mixture modeling and model-based power analysis and sample size estimate for SEM. The statistical modeling program, Mplus, is also featured and provides researchers with a flexible tool to analyze their data with an easy-to-use interface and graphical displays of data and analysis results. Key features: Presents a useful reference guide for applications of SEM whilst systematically demonstrating various advanced SEM models, such as multi-group and mixture models using Mplus. Discusses and demonstrates various SEM models using both cross-sectional and longitudinal data with both continuous and categorical outcomes. Provides step-by-step instructions of model specification and estimation, as well as detail interpretation of Mplus results. Explores different methods for sample size estimate and statistical power analysis for SEM. By following the examples provided in this book, readers will be able to build their own SEM models using Mplus. Teachers, graduate students, and researchers in social sciences and health studies will also benefit from this book.

Multilevel Analysis of Educational Data

Multilevel Analysis of Educational Data Author R. Darrell Bock
ISBN-10 9781483295602
Release 2014-06-28
Pages 354
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Multilevel Analysis of Educational Data Bayesian methods Empirical Bayes Generalized least squares Profile likelihoods E-M algorithm Fisher scoring procedures Both educational and social science applications

Essentials of Structural Equation Modeling

Essentials of Structural Equation Modeling Author Mustafa Emre Civelek
ISBN-10 9781609621292
Release 2018-03-12
Pages 118
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Structural Equation Modeling is a statistical method increasingly used in scientific studies in the fields of Social Sciences. It is currently a preferred analysis method, especially in doctoral dissertations and academic researches. Many universities do not include this method in the curriculum, so students and scholars try to solve these problems using books and internet resources. This book aims to guide the researcher in a way that is free from math expressions. It teaches the steps of a research program using structured equality modeling practically. For students writing theses and scholars preparing academic articles, this book aims to analyze systematically the methodology of studies conducted using structural equation modeling methods in the social sciences. In as simple language as possible, it conveys basic information. It consists of two parts: the first gives basic concepts of structural equation modeling, and the second gives examples of applications.

Analyzing Qualitative Data

Analyzing Qualitative Data Author H. Russell Bernard
ISBN-10 9781483347103
Release 2016-06-23
Pages 576
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The fully updated Second Edition of Analyzing Qualitative Data: Systematic Approaches by H. Russell Bernard, Amber Wutich, and Gery W. Ryan presents systematic methods for analyzing qualitative data with clear and easy-to-understand steps. The first half is an overview of the basics, from choosing a topic to collecting data, and coding to finding themes, while the second half covers different methods of analysis, including grounded theory, content analysis, analytic induction, semantic network analysis, ethnographic decision modeling, and more. Real examples drawn from social science and health literature along with carefully crafted, hands-on exercises at the end of each chapter allow readers to master key techniques and apply them to their own disciplines.