Analyzing Spatial Models of Choice and Judgment

The second edition of "Analyzing Spatial Models of Choice and Judgment" is a comprehensive guide to estimating and interpreting spatial models using R,with new coverage of methods for ordinal data and anchoring vignettes in surveys. It is written by experts in the field and is suitable for social science researchers and methodologists.

Format: Hardback
Length: 302 pages
Publication date: 17 November 2020
Publisher: Taylor & Francis Ltd

With the remarkable advancements in computing power and the widespread accessibility of preference, perception, and choice data, including public opinion surveys and legislative voting, the empirical estimation of spatial models using scaling and ideal point estimation methods has become more accessible than ever before. The second edition of Analyzing Spatial Models of Choice and Judgment, published by Springer Science & Business Media, serves as a comprehensive guide for estimating and interpreting spatial models using the open-source programming language R. This book, designed for social science researchers with a basic knowledge of R, empowers them to apply these methods to their own data. It is also suitable for experienced methodologists seeking to stay up-to-date with the latest techniques for modeling the distances between points.

The authors of this second edition delve into the fundamental theory behind empirical spatial models, providing a clear understanding of the underlying principles. They then illustrate the estimation technique behind implementing each method, offering insights into the advantages and limitations of each approach. Visualizations are incorporated throughout the book to facilitate a deeper comprehension of the results.

In addition to updating and expanding the methods and software discussed in the first edition, this second edition introduces new coverage of methods for ordinal data and anchoring vignettes in surveys. An entire chapter is dedicated to Bayesian methods, providing a comprehensive introduction to this powerful approach. Furthermore, the book has been made more user-friendly by the inclusion of an R package, which contains all the data and functions used in the book.

David A. Armstrong II holds the Canada Research Chair in Political Methodology and is an Associate Professor of Political Science at Western University. His research interests encompass measurement, democracy, and state repressive action.

Ryan Bakker is a Reader in Comparative Politics at the University of Essex. His research revolves around applied Bayesian modeling, measurement, Western European politics, and EU politics.

Royce Carroll is a Professor of Political Science at the University of California, Santa Barbara. His research focuses on political behavior, public opinion, and political methodology.

Weight: 626g
Dimension: 162 x 241 x 29 (mm)
ISBN-13: 9781138715332
Edition number: 2 New edition