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Analyzing Spatial Models of Choice and Judgment
Langbeschreibung
How to apply spatial models using R to a wide range of data used in political science. Models are similar to multidimensional scaling models long used in Psychology and MDS models overage. Aimed at graduate students and researchers with basic knowledge of R, a "how to." In second edition, chapters updated to reflect these new R packages.
Inhaltsverzeichnis
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.
Dave Armstrong (quantoid.net) is Canada Research Chair in Political Methodology and Associate Professor of Political Science at Western University in Ontario, Canada. He received a Ph.D. in Government and Politics from the University of Maryland in 2009 and was a post-doctoral fellow in the Department of Politics and Nuffield College at the University of Oxford. His research interests revolve around measurement and the relationship between Democracy and state repressive action. His research has been published in the American Political Science Review, the American Journal of Political Science, the American Sociological Review and the R Journal among others. Dave is an active R user and maintainer of a number of packages. DAMisc has a number of functions that ease interpretation and presentation of GLMs.
ISBN-13:
9781351770491
Veröffentl:
2020
Seiten:
320
Autor:
David A. Armstrong
eBook Typ:
EPUB
eBook Format:
EPUB
Kopierschutz:
0 - No protection
Sprache:
Englisch
64,99 €*
Lieferzeit: Sofort lieferbar
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