04631cam a2200529Ii 4500 9781315197609 FlBoTFG 20260210180902.0 m o d cr cnu|||unuuu 201211s2021 flu ob 001 0 eng d OCoLC-P eng rda pn OCoLC-P 9781351770491 (electronic bk.) 1351770497 (electronic bk.) 9780367612542 9781351770507 (PDF ebook) 1351770500 9781315197609 (electronic bk.) 131519760X (electronic bk.) 9781351770484 (electronic bk. : Mobipocket) 1351770489 (electronic bk. : Mobipocket) (OCoLC)1226504347 (OCoLC)1223026429 (OCoLC-P)1226504347 QA278.2 MAT 029000 bisacsh JHBC bicssc 001.422 23 Armstrong, David A., II, 1976- author. Analyzing spatial models of choice and judgment / David A. Armstrong II [and five others]. Second edition. Boca Raton : Chapman & Hall/CRC Press, 2021. 1 online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier Chapman & Hall/CRC statistics in the social and behavioral sciences series With recent advances in computing power and the widespread availability of preference, perception and choice data, such as public opinion surveys and legislative voting, the empirical estimation of spatial models using scaling and ideal point estimation methods has never been more accessible.The second edition of Analyzing Spatial Models of Choice and Judgment demonstrates how to estimate and interpret spatial models with a variety of methods using the open-source programming language R. Requiring only basic knowledge of R, the book enables social science researchers to apply the methods to their own data. Also suitable for experienced methodologists, it presents the latest methods for modeling the distances between points. The authors explain the basic theory behind empirical spatial models, then illustrate the estimation technique behind implementing each method, exploring the advantages and limitations while providing visualizations to understand the results. This second edition updates and expands the methods and software discussed in the first edition, including new coverage of methods for ordinal data and anchoring vignettes in surveys, as well as an entire chapter dedicated to Bayesian methods. The second edition is made easier to use by the inclusion of an R package, which provides all data and functions used in the book. David A. Armstrong II is Canada Research Chair in Political Methodology and Associate Professor of Political Science at Western University. His research interests include measurement, Democracy and state repressive action. Ryan Bakker is Reader in Comparative Politics at the University of Essex. His research interests include applied Bayesian modeling, measurement, Western European politics, and EU politics. Royce Carroll is Professor in Comparative Politics at the University of Essex. His research focuses on measurement of ideology and the comparative politics of legislatures and political parties. Christopher Hare is Assistant Professor in Political Science at the University of California, Davis. His research focuses on ideology and voting behavior in US politics, political polarization, and measurement. Keith T. Poole is Philip H. Alston Jr. Distinguished Professor of Political Science at the University of Georgia. His research interests include methodology, US political-economic history, economic growth and entrepreneurship. Howard Rosenthal is Professor of Politics at NYU and Roger Williams Straus Professor of Social Sciences, Emeritus, at Princeton. Rosenthal's research focuses on political economy, American politics and methodology. OCLC-licensed vendor bibliographic record. Spatial analysis (Statistics) Spatial behavior Mathematical models. Spatial behavior Political aspects. Legislative bodies Voting Data processing. R (Computer program language) MATHEMATICS / Probability & Statistics / General bisacsh Taylor & Francis https://www.taylorfrancis.com/books/9781315197609 OCLC metadata license agreement http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf 93478 93477