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Statistical Analysis of Longitudinal Categorical Data in the Social and Behavioral Sciences

2014-04-04 Psychology
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Release : 2014-04-04
Genre : Psychology
Kind : eBook
Book Rating : 249/5 ( reviews)

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Book Synopsis Statistical Analysis of Longitudinal Categorical Data in the Social and Behavioral Sciences by : Alexander von Eye

Download or read book Statistical Analysis of Longitudinal Categorical Data in the Social and Behavioral Sciences written by Alexander von Eye. This book was released on 2014-04-04. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive resource for analyzing a variety of categorical data, this book emphasizes the application of many recent advances of longitudinal categorical statistical methods. Each chapter provides basic methodology, helpful applications, examples using data from all fields of the social sciences, computer tutorials, and exercises. Written for social scientists and students, no advanced mathematical training is required. Step-by-step command files are given for both the CDAS and the SPSS software programs.

Longitudinal Data Analysis for the Behavioral Sciences Using R

2012 Mathematics
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Release : 2012
Genre : Mathematics
Kind : eBook
Book Rating : 685/5 ( reviews)

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Book Synopsis Longitudinal Data Analysis for the Behavioral Sciences Using R by : Jeffrey D. Long

Download or read book Longitudinal Data Analysis for the Behavioral Sciences Using R written by Jeffrey D. Long. This book was released on 2012. Available in PDF, EPUB and Kindle. Book excerpt: This book is a practical guide for the analysis of longitudinal behavioural data. Longitudinal data consist of repeated measures collected on the same subjects over time.

Marginal Models

2009-04-03 Science
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Release : 2009-04-03
Genre : Science
Kind : eBook
Book Rating : 108/5 ( reviews)

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Book Synopsis Marginal Models by : Wicher Bergsma

Download or read book Marginal Models written by Wicher Bergsma. This book was released on 2009-04-03. Available in PDF, EPUB and Kindle. Book excerpt: Marginal Models for Dependent, Clustered, and Longitudinal Categorical Data provides a comprehensive overview of the basic principles of marginal modeling and offers a wide range of possible applications. Marginal models are often the best choice for answering important research questions when dependent observations are involved, as the many real world examples in this book show. In the social, behavioral, educational, economic, and biomedical sciences, data are often collected in ways that introduce dependencies in the observations to be compared. For example, the same respondents are interviewed at several occasions, several members of networks or groups are interviewed within the same survey, or, within families, both children and parents are investigated. Statistical methods that take the dependencies in the data into account must then be used, e.g., when observations at time one and time two are compared in longitudinal studies. At present, researchers almost automatically turn to multi-level models or to GEE estimation to deal with these dependencies. Despite the enormous potential and applicability of these recent developments, they require restrictive assumptions on the nature of the dependencies in the data. The marginal models of this book provide another way of dealing with these dependencies, without the need for such assumptions, and can be used to answer research questions directly at the intended marginal level. The maximum likelihood method, with its attractive statistical properties, is used for fitting the models. This book has mainly been written with applied researchers in mind. It includes many real world examples, explains the types of research questions for which marginal modeling is useful, and provides a detailed description of how to apply marginal models for a great diversity of research questions. All these examples are presented on the book's website (www.cmm.st), along with user friendly programs.

Longitudinal Data Analysis

2006-05-12 Mathematics
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Release : 2006-05-12
Genre : Mathematics
Kind : eBook
Book Rating : 478/5 ( reviews)

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Book Synopsis Longitudinal Data Analysis by : Donald Hedeker

Download or read book Longitudinal Data Analysis written by Donald Hedeker. This book was released on 2006-05-12. Available in PDF, EPUB and Kindle. Book excerpt: Longitudinal data analysis for biomedical and behavioral sciences This innovative book sets forth and describes methods for the analysis of longitudinaldata, emphasizing applications to problems in the biomedical and behavioral sciences. Reflecting the growing importance and use of longitudinal data across many areas of research, the text is designed to help users of statistics better analyze and understand this type of data. Much of the material from the book grew out of a course taught by Dr. Hedeker on longitudinal data analysis. The material is, therefore, thoroughly classroom tested and includes a number of features designed to help readers better understand and apply the material. Statistical procedures featured within the text include: * Repeated measures analysis of variance * Multivariate analysis of variance for repeated measures * Random-effects regression models (RRM) * Covariance-pattern models * Generalized-estimating equations (GEE) models * Generalizations of RRM and GEE for categorical outcomes Practical in their approach, the authors emphasize the applications of the methods, using real-world examples for illustration. Some syntax examples are provided, although the authors do not generally focus on software in this book. Several datasets and computer syntax examples are posted on this title's companion Web site. The authors intend to keep the syntax examples current as new versions of the software programs emerge. This text is designed for both undergraduate and graduate courses in longitudinal data analysis. Instructors can take advantage of overheads and additional course materials available online for adopters. Applied statisticians in biomedicine and the social sciences can also use the book as a convenient reference.

Advances in Longitudinal Methods in the Social and Behavioral Sciences

2012-11-01 Education
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Release : 2012-11-01
Genre : Education
Kind : eBook
Book Rating : 916/5 ( reviews)

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Book Synopsis Advances in Longitudinal Methods in the Social and Behavioral Sciences by : Gregory R. Hancock

Download or read book Advances in Longitudinal Methods in the Social and Behavioral Sciences written by Gregory R. Hancock. This book was released on 2012-11-01. Available in PDF, EPUB and Kindle. Book excerpt: The importance that practitioners are placing on longitudinal designs and analyses signals a critical shift toward methods that enable a better understanding of developmental processes thought to underlie many human attributes and behaviors. A simple scan of one’s own applied literature reveals evidence of this trend through the increasing number of articles adopting longitudinal methods as their primary analytic tools. Advances in Longitudinal Methods in the Social and Behavioral Sciences is a resource intended for advanced graduate students, faculty, and applied researchers interested in longitudinal data analysis, especially in the social and behavioral sciences. The chapters are written by established methodological researchers from diverse research domains such as psychology, biostatistics, educational statistics, psychometrics, and family sciences. Each chapter exposes the reader to some of the latest methodological developments and perspectives in the analysis of longitudinal data, and is written in a didactic tone that makes the content accessible to the broader research community. This volume will be particularly appealing to researchers in domains including, but not limited to: human development, clinical psychology, educational psychology, school psychology, special education, epidemiology, family science, kinesiology, communication disorders, and education policy and administration. The book will also be attractive to members of several professional organizations such as the American Educational Research Association (AERA), the American Psychological Association (APA), the American Psychological Society (APS), the Society for Research on Adolescence (SRA), the Society of Research in Child Development (SRCD), Society for Research in Adult Development (SRAD), British Psychological Society (BPS), Canadian Psychological Association (CPA), and other related organizations.

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