| Record ID | marc_columbia/Columbia-extract-20221130-031.mrc:76102369:4202 |
| Source | marc_columbia |
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LEADER: 04202cam a2200637Ma 4500
001 15079380
005 20210607130522.0
006 m o d
007 cr cn|||||||||
008 040624s2005 njua ob 001 0 eng d
010 $z 2004055157
035 $a(OCoLC)ocn647459570
035 $a(NNC)15079380
040 $aE7B$beng$epn$cE7B$dOCLCQ$dOCLCF$dOCLCQ$dCOCUF$dOCLCO$dOCLCQ$dLOA$dICG$dWY@$dK6U$dU3W$dSTF$dWRM$dOCLCQ$dVT2$dOCLCQ$dHS0$dUKCRE
019 $a133165410$a999807613$a1037704635$a1038685755$a1055395361$a1058660124$a1081295969$a1097120734$a1108971241$a1153532777$a1162050908
020 $a9780805847284$q(alk. paper)
020 $a0805847286$q(alk. paper)
020 $z0805847286$q(alk. paper)
020 $a1283293862
020 $a9781283293860
020 $a9786613293862
020 $a6613293865
020 $a1135704856
020 $a9781135704858
020 $a1410612023
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035 $a(OCoLC)647459570$z(OCoLC)133165410$z(OCoLC)999807613$z(OCoLC)1037704635$z(OCoLC)1038685755$z(OCoLC)1055395361$z(OCoLC)1058660124$z(OCoLC)1081295969$z(OCoLC)1097120734$z(OCoLC)1108971241$z(OCoLC)1153532777$z(OCoLC)1162050908
050 4 $aHA29$b.N4533 2005eb
082 04 $a300/.1/5195$222
049 $aZCUA
245 00 $aNew developments in categorical data analysis for the social and behavioral sciences /$cedited by L. Andries van der Ark, Marcel A. Croon, Klaas Sijtsma.
260 $aMahwah, N.J. :$bLawrence Erlbaum,$c©2005.
300 $a1 online resource (xii, 261 pages) :$billustrations.
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
347 $adata file$2rda
490 1 $aQuantitative methodology series
504 $aIncludes bibliographical references and indexes.
588 0 $aPrint version record.
505 0 $aPreface; About the Authors; 1 Statistical Models for Categorical Variables; 2 Misclassification Phenomena in Categorical Data Analysis: Regression Toward the Mean and Tendency Toward the Mode; 3 Factor Analysis With Categorical Indicators: A Comparison Between Traditional and Latent Class Approaches; 4 Bayesian Computational Methods for Inequality Constrained Latent Class Analysis; 5 Analyzing Categorical Data by Marginal Models; 6 Computational Aspects of the E-M and Bayesian Estimation in Latent Variable Models; 7 Logistic Models for Single-Subject Time Series
505 8 $a8 The Effect of Missing Data Imputation on Mokken Scale Analysis9 Building IRT Models From Scratch: Graphical Models, Exchangeability, Marginal Freedom, Scale Types, and Latent Traits; 10 The Nedelsky Model for Multiple-Choice Items; 11 Application of the Polytomous Saltus Model to Stage-Like Proportional Reasoning Data; 12 Multilevel IRT Model Assessment; Author Index; Subject Index
520 $aCategorical data are quantified as either nominal variables--distinguishing different groups, for example, based on socio-economic status, education, and political persuasion--or ordinal variables--distinguishing levels of interest, such as the preferred politician or the preferred type of punishment for committing burglary. This new book is a collection of up-to-date studies on modern categorical data analysis methods, emphasizing their application to relevant and interesting data sets.This volume concentrates on latent class analysis and item response theory. These methods use latent.
546 $aEnglish.
650 0 $aSocial sciences$xStatistical methods.
650 0 $aStatistics.
650 7 $aSocial sciences$xStatistical methods.$2fast$0(OCoLC)fst01122983
650 7 $aStatistics.$2fast$0(OCoLC)fst01132103
655 4 $aElectronic books.
700 1 $aArk, L. Andries van der.
700 1 $aCroon, Marcel A.
700 1 $aSijtsma, K.$q(Klaas),$d1955-
776 08 $iPrint version:$tNew developments in categorical data analysis for the social and behavioral sciences.$dMahwah, N.J. : Lawrence Erlbaum, ©2005$w(DLC) 2004055157
830 0 $aQuantitative methodology series.
856 40 $uhttp://www.columbia.edu/cgi-bin/cul/resolve?clio15079380$zTaylor & Francis eBooks
852 8 $blweb$hEBOOKS