Description
- First book written for R that covers the area of spatial models for social scientists.
- Bridges the gap between theory and methods by providing step-by-step demonstrations of how to build spatial models in the R environment.
- Show how to analyze public opinion data (perceptual data – issue scales; and preference data – agree/disagree questions) with spatial models.
- Show how to analyze legislative roll call data.
Table of Contents
1. Introduction. 2. Analyzing Issue Scales. 3. Analyzing Similarities and Dissimilarities Data. 4. Unfolding Analysis of Rating Scale Data. 5. Unfolding Analysis of Binary Choice Data. 6. Bayesian Scaling Models.
