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Analyzing Spatial Models of Choice and Judgment With R.


Analyzing Spatial Models of Choice and Judgment With R

David A. Armstrong II, Ryan Bakker, Royce Carroll, Christopher Hare, Keith T. Poole, and Howard Rosenthal

CRC Press


336 pages



Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences Series


R is an interpreted language designed for statistical computation. Free, ubiquitous, and powerful, it is an excellent choice for such computations and is rapidly becoming a de facto standard in the field. This text concentrates on construction and analysis of spatial models using R, particularly in the fields of political choice data. Introductory chapters describe both the political context (the spatial theory of voting and data types analyzed by spatial voting models) and provide a foundation for programming in R (although this text does not replace a basic introduction to R programming). Further chapters address specific issues on the models, such as scales, similarities and dissimilarities data, rating and binary choice data, and several advanced topics in latent estimates and ordinal and dynamic IRT models. Examples of calculations using international data on politics and voting patterns, and many fully-worked programming examples round out the text. ([umlaut] Ringgold, Inc., Portland, OR)

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Date:Aug 1, 2014
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