img Leseprobe Leseprobe

Regression Models for Categorical, Count, and Related Variables

An Applied Approach

John P. Hoffmann

ca. 72,99
Amazon iTunes Hugendubel Bü kobo Osiander Google Books Barnes&Noble Legimi Kulturkaufhaus
* Affiliatelinks/Werbelinks
Hinweis: Affiliatelinks/Werbelinks
Links auf sind sogenannte Affiliate-Links. Wenn du auf so einen Affiliate-Link klickst und über diesen Link einkaufst, bekommt von dem betreffenden Online-Shop oder Anbieter eine Provision. Für dich verändert sich der Preis nicht.

University of California Press img Link Publisher

Sachbuch / Natur und Gesellschaft: Allgemeines, Nachschlagewerke


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.

Weitere Titel in dieser Kategorie
Cover Scrubbing the Sky
Paul McKendrick
Cover How to Survive a Nuclear Attack
U.S. Department of Defense
Cover Environmental Degradation in Asia
Ayad M. Fadhil Al-Quraishi
Cover Unsettling
Elizabeth Weinberg
Cover Crushed
Brian Freedman
Cover The Birth of Tragedy
Friedrich Nietzsche
Cover Greenhouse Planet
Lewis H. Ziska



mental health, statistical software, social science, stata, behavioral science, health science, political science, regression analysis, interracial marriage, data, spss, algebra, criminologist, statistics, political scientist, sociology, suicide, criminals, sas, research, sociologist, academic, crimes, graphing, psychology, r