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MARC Record from marc_columbia

Record ID marc_columbia/Columbia-extract-20221130-032.mrc:176676857:8124
Source marc_columbia
Download Link /show-records/marc_columbia/Columbia-extract-20221130-032.mrc:176676857:8124?format=raw

LEADER: 08124cam a2200805 i 4500
001 15860631
005 20220326234029.0
006 m o d
007 cr cnu---unuuu
008 190709t20202020enka ob 001 0 eng d
035 $a(OCoLC)on1107697584
035 $a(NNC)15860631
040 $aN$T$beng$erda$epn$cN$T$dTYFRS$dUKMGB$dYDXIT$dUBY$dUKAHL$dOCLCQ$dOCLCO
015 $aGBB9E4682$2bnb
016 7 $a019505886$2Uk
020 $a9781315187808$q(electronic book ;$qvolume 2)
020 $a1315187809$q(electronic book ;$qvolume 2)
020 $a9781351741194$q(electronic book ;$qvolume 2)
020 $a1351741195$q(electronic book ;$qvolume 2)
020 $a9781351741200$q(electronic book ;$qvolume 2)
020 $a1351741209$q(electronic book ;$qvolume 2)
020 $a9781351741187$q(electronic book ;$qvolume 2)
020 $a1351741187$q(electronic book ;$qvolume 2)
020 $z9781138733121$q(volume 1$qhardcover)
020 $z1138733121$q(volume 1$qhardcover)
020 $z9781138733145$q(volume 2$qhardcover)
020 $z1138733148$q(volume 2$qhardcover)
024 7 $a10.4324/9781315187808$2doi
035 $a(OCoLC)1107697584
037 $a9781315187808$bTaylor & Francis
050 4 $aP53.4$b.Q36 2020
072 7 $aEDU$x030000$2bisacsh
072 7 $aEDU$x005000$2bisacsh
072 7 $aPSY$x042000$2bisacsh
072 7 $aJNKD$2bicssc
082 04 $a418.0072/7$223
049 $aZCUA
245 00 $aQuantitative data analysis for language assessment.$nVolume II,$pAdvanced methods /$cedited by Vahid Aryadoust and Michelle Raquel.
264 1 $aAbingdon, Oxon ;$aNew York, NY :$bRoutledge,$c2020.
264 4 $c©2020
300 $a1 online resource
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
504 $aIncludes bibliographical references and index.
520 $aQuantitative Data Analysis for Language Assessment Volume II: Advanced Methods emonstrates advanced quantitative techniques for language assessment. The volume takes an interdisciplinary approach and taps into expertise from language assessment, data mining, and psychometrics. The techniques covered include Structural Equation Modeling, Data Mining, Multidimensional Psychometrics and Multilevel Data Analysis. Volume II is distinct among available books in language assessment, as it engages the readers in both theory and application of the methods and introduces relevant techniques for theory construction and validation. This book is highly recommended to graduate students and researchers who are searching for innovative and rigorous approaches and methods to achieve excellence in their dissertations and research. It is also a valuable source for academics who teach quantitative approaches in language assessment and data analysis courses.
545 0 $aVahid Aryadoust is assistant professor of language assessment literacy at the National Institute of Education of Nanyang Technological University, Singapore. He has led a number of language assessment research projects funded by, for example, the Ministry of Education (Singapore), Michigan Language Assessment (USA), Pearson Education (UK), and Paragon Testing Enterprises (Canada) and has published his research in Language Testing, Language Assessment Quarterly, Assessing Writing, Educational Assessment, Educational Psychology, and Computer Assisted Language Learning. He has also (co)authored a number of book chapters and books that have been published by Routledge, Cambridge University Press, Springer, Cambridge Scholar Publishing, Wiley Blackwell, and so on. He is a member of the advisory board of multiple international journals including Language Testing (Sage), Language Assessment Quarterly (Taylor & Francis), Educational Assessment (Taylor & Francis), Educational Psychology (Taylor & Francis), and Asia Pacific Journal of Education (Taylor & Francis). In addition, he has been awarded the Intercontinental Academia Fellowship (2018-2019), which is an advanced research program launched by the University-Based Institutes for Advanced Studies. Vahid's areas of interest include theory-building and quantitative data analysis in language assessment, neuroimaging in language comprehension, and eye tracking research. Michelle Raquel is a senior lecturer at the Centre of Applied English Studies, University of Hong Kong, where she teaches language testing and assessment to postgraduate students. She has worked in several tertiary institutions in Hong Kong as an assessment developer and has either led or been part of a group that designed and administered large-scale diagnostic and language proficiency assessments such as Hong Kong Institute of Education's Tertiary English Language Test (TELT), Hong Kong University of Science and Technology's English Language Proficiency Assessment (ELPA), and Diagnostic English Language Tracking Assessment (DELTA), a government-funded inter-institutional project tasked to develop a computer-based academic English diagnostic test. She specializes in data analysis, specifically Rasch measurement, and has published several articles in international journals on this topic as well as on, academic English diagnostic assessment, English as a second language (ESL) testing of reading and writing, dynamic assessment of second language dramatiskills, and English for specific purposes (ESP) testing.
588 0 $aOnline resource; title from digital title page (viewed on January 10, 2020).
505 0 $aIntroduction -- SECTION I: Advanced item response theory (IRT) models in language assessment -- Applying the mixed Rasch model in assessing reading comprehension -- Multidimensional Rasch models in first language listening tests -- The log-linear cognitive diagnosis modeling (LCDM) in second language listening assessment -- Application of a hierarchical diagnostic classification model in assessing reading comprehension -- SECTION II: Advanced statistical methods in language assessment -- Structural equation modeling to predict performance in English proficiency tests -- Student growth percentiles in the formative assessment of English language proficiency -- Multilevel modeling to examine sources of variability in second language test scores -- Longitudinal multilevel modeling to examine changes in second language test scores -- SECTION III: Nature-inspired data-mining methods in language assessment -- Classification and regression trees in predicting listening item difficulty -- Evolutionary algorithm-based symbolic regression to determine the relationship of reading and lexicogrammatical knowledge -- Index.
650 0 $aLanguage and languages$xAbility testing$xData processing.
650 0 $aLanguage and languages$xStudy and teaching$xData processing.
650 0 $aSecond language acquisition.
650 0 $aCompetency-based educational tests.
650 6 $aLangage et langues$xTests d'aptitude$xInformatique.
650 6 $aLangage et langues$xÉtude et enseignement$xInformatique.
650 6 $aLangue seconde$xAcquisition.
650 6 $aÉducation basée sur la compétence$xTests.
650 7 $aEDUCATION$xTesting & Measurement.$2bisacsh
650 7 $aEDUCATION$xBilingual Education.$2bisacsh
650 7 $aPSYCHOLOGY$xAssessment, Testing & Measurement.$2bisacsh
650 7 $aCompetency-based educational tests.$2fast$0(OCoLC)fst00871450
650 7 $aLanguage and languages$xAbility testing$xData processing.$2fast$0(OCoLC)fst01766087
650 7 $aLanguage and languages$xStudy and teaching$xData processing.$2fast$0(OCoLC)fst00992226
650 7 $aSecond language acquisition.$2fast$0(OCoLC)fst01110576
655 4 $aElectronic books.
700 1 $aAryadoust, Vahid,$eeditor.
700 1 $aRaquel, Michelle,$eeditor.
776 08 $iPrint version:$tQuantitative data analysis for language assessment.$dAbingdon, Oxon ; New York, NY : Routledge, 2020$z9781138733121$w(DLC) 2018056835
856 40 $uhttp://www.columbia.edu/cgi-bin/cul/resolve?clio15860631$zTaylor & Francis eBooks
852 8 $blweb$hEBOOKS