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Analyzing Spatial Models of Choice and Judgment with R

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With recent advances in computing power and the widespread availability of political choice data, such as legislative roll call and public opinion survey data, the empirical estimation of spatial models has never been easier or more popular. Analyzing Spatial Models of Choice and Judgment with R demonstrates how to estimate and interpret spatial models using a variety of methods with the popular, open-source Read more...

Author(s): David A Armstrong, II;Ryan Bakker;Royce Carroll;Christopher Hare;Keith T Poole;All authors
Series: Chapman & Hall/CRC Statistics in the Social & Behavioral
Publisher: Taylor and Francis, CRC Press
Year: 2014

Language: English
Pages: 351 p.: ill
City: Hoboken
Tags: Библиотека;Компьютерная литература;R;


Content: Front Cover; Contents; Preface; Author Biographies; 1. Introduction; 2. The Basics; 3. Analyzing Issue Scales; 4. Analyzing Similarities and Dissimilarities Data; 5. Unfolding Analysis of Rating Scale Data; 6. Unfolding Analysis of Binary Choice Data; 7. Advanced Topics; References
Abstract: With recent advances in computing power and the widespread availability of political choice data, such as legislative roll call and public opinion survey data, the empirical estimation of spatial models has never been easier or more popular. Analyzing Spatial Models of Choice and Judgment with R demonstrates how to estimate and interpret spatial models using a variety of methods with the popular, open-source programming language R