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Regression Models for Categorical, Count, and Related Variables: An Applied Approach
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Bibliographic Detail
Publisher Univ of California Pr
Publication date August 23, 2016
Pages 411
Binding Paperback
Book category Adult Non-Fiction
ISBN-13 9780520289291
ISBN-10 0520289293
Dimensions 0 by 7 by 10 in.
Original list price $65.00
Other format details university press
Summaries and Reviews
Amazon.com description: Product Description:
Social science and behavioral science students and researchers are often confronted with data that are categorical, count a phenomenon, or have been collected over time. Sociologists examining the likelihood of interracial marriage, political scientists studying voting behavior, criminologists counting the number of offenses people commit, health scientists studying the number of suicides across neighborhoods, and psychologists modeling mental health treatment success are all interested in outcomes that are not continuous. Instead, they must measure and analyze these events and phenomena in a discrete manner.
 
This book provides an introduction and overview of several statistical models designed for these types of outcomes—all presented with the assumption that the reader has only a good working knowledge of elementary algebra and has taken introductory statistics and linear regression analysis.
 
Numerous examples from the social sciences demonstrate the practical applications of these models. The chapters address logistic and probit models, including those designed for ordinal and nominal variables, regular and zero-inflated Poisson and negative binomial models, event history models, models for longitudinal data, multilevel models, and data reduction techniques such as principal components and factor analysis.
 
Each chapter discusses how to utilize the models and test their assumptions with the statistical software Stata, and also includes exercise sets so readers can practice using these techniques. Appendices show how to estimate the models in SAS, SPSS, and R; provide a review of regression assumptions using simulations; and discuss missing data.

A companion website includes downloadable versions of all the data sets used in the book.


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Paperback
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from Univ of California Pr (August 23, 2016)
9780520289291 | details & prices | 411 pages | List price $65.00
About: Social science and behavioral science students and researchers are often confronted with data that are categorical, count a phenomenon, or have been collected over time.

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