Regression Models for Categorical, Count, and Related Variables - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Regression Models for Categorical, Count, and Related Variables write by John P. Hoffmann. This book was released on 2016-08-16. Regression Models for Categorical, Count, and Related Variables available in PDF, EPUB and Kindle. 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.
Regression Models for Categorical Dependent Variables Using Stata, Second Edition
Regression Models for Categorical Dependent Variables Using Stata, Second Edition - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Regression Models for Categorical Dependent Variables Using Stata, Second Edition write by J. Scott Long. This book was released on 2006. Regression Models for Categorical Dependent Variables Using Stata, Second Edition available in PDF, EPUB and Kindle. The goal of the book is to make easier to carry out the computations necessary for the full interpretation of regression nonlinear models for categorical outcomes usign Stata.
Regression Models for Categorical and Limited Dependent Variables
Regression Models for Categorical and Limited Dependent Variables - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Regression Models for Categorical and Limited Dependent Variables write by J. Scott Long. This book was released on 1997-01-09. Regression Models for Categorical and Limited Dependent Variables available in PDF, EPUB and Kindle. Evaluates the most useful models for categorical and limited dependent variables (CLDVs), emphasizing the links among models and applying common methods of derivation, interpretation, and testing. The author also explains how models relate to linear regression models whenever possible. Annotation c.
Regression Models for Categorical Dependent Variables Using Stata
Regression Models for Categorical Dependent Variables Using Stata - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Regression Models for Categorical Dependent Variables Using Stata write by J. Scott Long. This book was released on 2006. Regression Models for Categorical Dependent Variables Using Stata available in PDF, EPUB and Kindle.
Regression Models for Categorical and Count Data
Regression Models for Categorical and Count Data - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Regression Models for Categorical and Count Data write by Peter Martin. This book was released on 2022-03-01. Regression Models for Categorical and Count Data available in PDF, EPUB and Kindle. This text provides practical guidance on conducting regression analysis on categorical and count data. Step by step and supported by lots of helpful graphs, it covers both the theoretical underpinnings of these methods as well as their application, giving you the skills needed to apply them to your own research. It offers guidance on: · Using logistic regression models for binary, ordinal, and multinomial outcomes · Applying count regression, including Poisson, negative binomial, and zero-inflated models · Choosing the most appropriate model to use for your research · The general principles of good statistical modelling in practice Part of The SAGE Quantitative Research Kit, this book will give you the know-how and confidence needed to succeed on your quantitative research journey
