000			04631cam a2200529Ii 4500
001			9781315197609
003			FlBoTFG
005			20260210180902.0
006			m o d
007			cr cnu|||unuuu
008			201211s2021 flu ob 001 0 eng d
040			_aOCoLC-P _beng _erda _epn _cOCoLC-P
020			_a9781351770491 _q(electronic bk.)
020			_a1351770497 _q(electronic bk.)
020			_z9780367612542
020			_a9781351770507 _q(PDF ebook)
020			_a1351770500
020			_a9781315197609 _q(electronic bk.)
020			_a131519760X _q(electronic bk.)
020			_a9781351770484 _q(electronic bk. : Mobipocket)
020			_a1351770489 _q(electronic bk. : Mobipocket)
035			_a(OCoLC)1226504347 _z(OCoLC)1223026429
035			_a(OCoLC-P)1226504347
050		4	_aQA278.2
072		7	_aMAT _x029000 _2bisacsh
072		7	_aJHBC _2bicssc
082	0	4	_a001.422 _223
100	1		_aArmstrong, David A., _cII, _d1976- _eauthor.
245	1	0	_aAnalyzing spatial models of choice and judgment / _cDavid A. Armstrong II [and five others].
250			_aSecond edition.
264		1	_aBoca Raton : _bChapman & Hall/CRC Press, _c2021.
300			_a1 online resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
490	1		_aChapman & Hall/CRC statistics in the social and behavioral sciences series
520			_aWith 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.
588			_aOCLC-licensed vendor bibliographic record.
650		0	_aSpatial analysis (Statistics)
650		0	_aSpatial behavior _xMathematical models.
650		0	_aSpatial behavior _xPolitical aspects.
650		0	_aLegislative bodies _xVoting _xData processing.
650		0	_aR (Computer program language)
650		7	_aMATHEMATICS / Probability & Statistics / General _2bisacsh
856	4	0	_3Taylor & Francis _uhttps://www.taylorfrancis.com/books/9781315197609
856	4	2	_3OCLC metadata license agreement _uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
999			_c93478 _d93477