MARC Record from marc_columbia

LEADER: 04242cam a2200637Ii 4500
001 15112029
005 20220703233410.0
006 m o d
007 cr cnu|||unuuu
008 160526t20162016flu ob 001 0 eng d
035 $a(OCoLC)ocn950613591
035 $a(NNC)15112029
040 $aN$T$beng$erda$epn$cN$T$dIDEBK$dEBLCP$dN$T$dCUS$dYDXCP$dCRCPR$dOCLCF$dYDX$dOCLCQ$dIDB$dOCLCQ$dUAB$dCNCGM$dMERUC$dOCLCQ$dSTF$dU3W$dOCLCQ$dWYU$dLVT$dFHM$dTKN$dTYFRS$dOCLCQ$dUKAHL$dOCLCQ$dUUM$dUMI$dRDF$dSFB$dOCLCO
019 $a957953934$a958095638$a958349712$a958448093$a959950990$a960087035$a960720468$a1190651014$a1260357616
020 $a9781439884683$q(electronic bk.)
020 $a1439884684$q(electronic bk.)
020 $z9781439884676
020 $z1439884676$q(alk. paper)
020 $a9781315374604
020 $a1315374609
020 $a9781315356976
020 $a131535697X
035 $a(OCoLC)950613591$z(OCoLC)957953934$z(OCoLC)958095638$z(OCoLC)958349712$z(OCoLC)958448093$z(OCoLC)959950990$z(OCoLC)960087035$z(OCoLC)960720468$z(OCoLC)1190651014$z(OCoLC)1260357616
037 $aCL0501000136$bSafari Books Online
050 4 $aBF39.2.B39$bL48 2016
072 7 $aPSY$x029000$2bisacsh
082 04 $a150.1/519542$223
084 $aCM 3000$2rvk
049 $aZCUA
100 1 $aLevy, Roy$c(Statistics professor),$eauthor.
245 10 $aBayesian psychometric modeling /$cRoy Levy, Robert J. Mislevy.
264 1 $aBoca Raton :$bCRC Press, Taylor & Francis Group,$c[2016]
264 4 $c©2016
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
504 $aIncludes bibliographical references and index.
588 0 $aOnline resource; title from PDF title page (EBSCO, viewed June 14, 2016).
505 0 $aSection 1. Foundations -- section 2. Psychometrics.
520 $aA Single Cohesive Framework of Tools and Procedures for Psychometrics and Assessment Bayesian Psychometric Modeling presents a unified Bayesian approach across traditionally separate families of psychometric models. It shows that Bayesian techniques, as alternatives to conventional approaches, offer distinct and profound advantages in achieving many goals of psychometrics. Adopting a Bayesian approach can aid in unifying seemingly disparate--and sometimes conflicting--ideas and activities in psychometrics. This book explains both how to perform psychometrics using Bayesian methods and why many of the activities in psychometrics align with Bayesian thinking. The first part of the book introduces foundational principles and statistical models, including conceptual issues, normal distribution models, Markov chain Monte Carlo estimation, and regression. Focusing more directly on psychometrics, the second part covers popular psychometric models, including classical test theory, factor analysis, item response theory, latent class analysis, and Bayesian networks. Throughout the book, procedures are illustrated using examples primarily from educational assessments. A supplementary website provides the datasets, WinBUGS code, R code, and Netica files used in the examples.
650 0 $aPsychometrics$xMathematical models.
650 0 $aBayesian statistical decision theory.
650 6 $aPsychométrie$xModèles mathématiques.
650 6 $aThéorie de la décision bayésienne.
650 7 $aPSYCHOLOGY$xReference.$2bisacsh
650 7 $aBayesian statistical decision theory.$2fast$0(OCoLC)fst00829019
650 7 $aPsychometrics$xMathematical models.$2fast$0(OCoLC)fst01081644
655 0 $aElectronic books.
655 4 $aElectronic books.
700 1 $aMislevy, Robert J.,$eauthor.
776 08 $iPrint version:$aLevy, Roy (Statistics professor).$tBayesian psychometric modeling.$dBoca Raton : CRC Press, Taylor & Francis Group, [2016]$z9781439884676$z1439884676$w(DLC) 2015045985$w(OCoLC)730403930
830 0 $aStatistics in the social and behavioral sciences series.
856 40 $uhttp://www.columbia.edu/cgi-bin/cul/resolve?clio15112029$zTaylor & Francis eBooks
852 8 $blweb$hEBOOKS