MARC Record from marc_columbia

LEADER: 06533cam a22008538i 4500
001 15816952
005 20220528233430.0
006 m o d
007 cr mn|||||||||
008 180626s2019 nyua ob 001 0 eng
010 $a 2018030586
035 $a(OCoLC)on1043053926
035 $a(NNC)15816952
040 $aDLC$beng$erda$epn$cDLC$dOCLCO$dOCLCF$dOCLCQ$dYDX$dN$T$dTYFRS$dEBLCP$dUKMGB$dCUY$dOCLCQ$dCUS$dOSU$dOCLCO
015 $aGBB8L0375$2bnb
016 7 $a019124231$2Uk
019 $a1076269069$a1076810696
020 $a9781315755649$q(electronic bk.)
020 $a1315755645$q(electronic bk.)
020 $a9781317627791$q(electronic bk. ;$qPDF)
020 $a1317627792$q(electronic bk. ;$qPDF)
020 $a9780203861554$q(electronic bk.)
020 $a0203861558$q(electronic bk.)
020 $a9781317627784$q(electronic bk. ;$qEPUB)
020 $a1317627784$q(electronic bk. ;$qEPUB)
020 $a9781317627777$q(electronic bk. ;$qMobipocket)
020 $a1317627776$q(electronic bk. ;$qMobipocket)
020 $z9781138800120$q(hardback)
020 $z1138800120$q(hardback)
020 $z9781138800137$q(pbk.)
020 $z1138800139$q(pbk.)
024 7 $a10.4324/9781315755649$2doi
035 $a(OCoLC)1043053926$z(OCoLC)1076269069$z(OCoLC)1076810696
037 $a9781317627784$bIngram Content Group
042 $apcc
050 10 $aH62$b.R48 2019
072 7 $aSOC$x041000$2bisacsh
072 7 $aSOC$x023000$2bisacsh
072 7 $aEDU$x037000$2bisacsh
072 7 $aSCI$x043000$2bisacsh
072 7 $aJNM$2bicssc
082 00 $a300.72/1$223
049 $aZCUA
245 04 $aThe reviewer's guide to quantitative methods in the social sciences /$cedited by Gregory R. Hancock, Laura M. Stapleton, and Ralph O. Mueller.
250 $aSecond edition.
263 $a1812
264 1 $aNew York :$bRoutledge,$c2019.
264 4 $c©2019
300 $a1 online resource (xii, 501 pages)
336 $atext$btxt$2rdacontent
337 $acomputer$bn$2rdamedia
338 $aonline resource$bnc$2rdacarrier
500 $aRevised edition of The reviewer's guide to quantitative methods in the social sciences, 2010.
520 $aThe Reviewer's Guide to Quantitative Methods in the Social Sciences provides evaluators of research manuscripts and proposals in the social and behavioral sciences with the resources they need to read, understand, and assess quantitative work. 35 uniquely structured chapters cover both traditional and emerging methods of quantitative data analysis, which neither junior nor veteran reviewers can be expected to know in detail. The second edition of this valuable resource updates readers on each technique's key principles, appropriate usage, underlying assumptions and limitations, providing reviewers with the information they need to offer constructive commentary on works they evaluate. Written by methodological and applied scholars, this volume is also an indispensable author's reference for preparing sound research manuscripts and proposals.
504 $aIncludes bibliographical references and index.
505 0 $aAnalysis of variance : between-groups designs / Robert A. Cribbie and Alan J. Klockars -- Analysis of variance: repeated measures designs / Lisa M. Lix and H.J. Keselman -- Canonical correlation analysis / Xitao Fan and Timothy R. Konold -- Cluster analysis / Dena A. Pastor and Monica K. Erbacher -- Correlation and other measures of association / Jill L. Adelson, Jason W. Osborne, and Brittany F. Crawford -- Effect sizes and confidence intervals / Fiona Fidler and Geoff Cumming -- Event history and survival analysis / Paul D. Allison -- Factor analysis: exploratory and confirmatory / Deborah L. Bandalos and Sara J. Finney -- Generalizability theory / Amy Hendrickson and Ping Yin -- Interrater reliability and agreement / William T. Hoyt -- Item response theory and rasch modeling / R.J. De Ayala -- Latent class analysis / Karen M. Samuelsen and C. Mitchell Dayton -- Latent growth curve models / Kristopher J. Preacher -- Latent transition analysis / David Rindskopf -- Latent variable mixture models / Gitta Lubke -- Logistic regression and extensions / Ann A. O'Connell and K. Rivet Amico -- Log-linear analysis / Ronald C. Serlin and Michael A. Seaman -- Mediation and moderation / Paul E. Jose -- Meta-analysis / S. Natasha Beretvas -- Monte carlo simulation methods / Daniel McNeish, Stephanie Lane, and Patrick Curran -- Multidimensional scaling / Cody S. Ding and Se-Kang Kim -- Multilevel modeling / D. Betsy McCoach -- Multiple regression / Ken Kelley and Scott E. Maxwell -- Multitrait-multimethod analysis / Keith F. Widaman -- Multivariate analysis of variance / Keenan A. Pituch -- Nonparametric statistics / Michael A. Seaman -- Power analysis / Kevin R. Murphy -- Propensity scores and matching methods / Elizabeth A. Smart -- Reliability and validity / Ralph O. Mueller -- Research design / Sharon Anderson Dannels -- Single-subject design and analysis / Andrew L. Egel, Christine H. Barthold, Jennifer Lee Kuou, and Fayez S. Maajeeny -- Social network analysis / Tracy Sweet -- Structural equation modeling / Ralph O. Mueller and Gregory R. Hancock -- Structural equation modeling : multisample covariance and mean structures / Richard G. Lomax -- Survey sampling, administration, and analysis / Laura M. Stapleton.
588 $aDescription based on print version record
650 0 $aSocial sciences$xResearch$xMethodology.
650 0 $aSocial sciences$xStatistical methods.
650 6 $aSciences sociales$xRecherche$xMéthodologie.
650 6 $aSciences sociales$xMéthodes statistiques.
650 7 $aSOCIAL SCIENCE$xEssays.$2bisacsh
650 7 $aSOCIAL SCIENCE$xReference.$2bisacsh
650 7 $aEDUCATION$xResearch.$2bisacsh
650 7 $aSCIENCE$xResearch & Methodology.$2bisacsh
650 7 $aSocial sciences$xResearch$xMethodology.$2fast$0(OCoLC)fst01122961
650 7 $aSocial sciences$xStatistical methods.$2fast$0(OCoLC)fst01122983
655 0 $aElectronic books.
700 1 $aHancock, Gregory R.,$eeditor.
700 1 $aStapleton, Laura M.,$eeditor.
700 1 $aMueller, Ralph O.,$eeditor.
776 08 $iPrint version:$tReviewer's guide to quantitative methods in the social sciences.$bSecond edition.$dNew York, NY : Routledge, 2019$z9781138800120$w(DLC) 2018029418$w(OCoLC)1042082344
856 40 $uhttp://www.columbia.edu/cgi-bin/cul/resolve?clio15816952$zTaylor & Francis eBooks
852 8 $blweb$hEBOOKS