LEADER 04786nam 22008415 450 001 996485661803316 005 20240221131707.0 010 $a9789811699863$b(electronic bk.) 010 $z9789811699856 024 7 $a10.1007/978-981-16-9986-3 035 $a(MiAaPQ)EBC7073386 035 $a(Au-PeEL)EBL7073386 035 $a(CKB)24429527500041 035 $a(DE-He213)978-981-16-9986-3 035 $a(PPN)264194543 035 $a(EXLCZ)9924429527500041 100 $a20220813d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aTest Data Engineering$b[electronic resource] $eLatent Rank Analysis, Biclustering, and Bayesian Network /$fby Kojiro Shojima 205 $a1st ed. 2022. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2022. 215 $a1 online resource (xxii, 579 pages) $cillustrations 225 1 $aBehaviormetrics: Quantitative Approaches to Human Behavior,$x2524-4035 ;$v13 311 08$aPrint version: Shojima, Kojiro Test Data Engineering Singapore : Springer,c2022 9789811699856 320 $aIncludes bibliographical references. 327 $aConcept of Test Data Engineering -- Test Data and Item Analysis -- Classical Test Theory -- Item Response Theory -- Latent Class Analysis -- Biclustering -- Bayesian Network Model. 330 $aThis is the first technical book that considers tests as public tools and examines how to engineer and process test data, extract the structure within the data to be visualized, and thereby make test results useful for students, teachers, and the society. The author does not differentiate test data analysis from data engineering and information visualization. This monograph introduces the following methods of engineering or processing test data, including the latest machine learning techniques: classical test theory (CTT), item response theory (IRT), latent class analysis (LCA), latent rank analysis (LRA), biclustering (co-clustering), and Bayesian network model (BNM). CTT and IRT are methods for analyzing test data and evaluating students? abilities on a continuous scale. LCA and LRA assess examinees by classifying them into nominal and ordinal clusters, respectively, where the adequate number of clusters is estimated from the data. Biclustering classifies examinees into groups (latent clusters) while classifying items into fields (factors). Particularly, the infinite relational model discussed in this book is a biclustering method feasible under the condition that neither the number of groups nor the number of fields is known beforehand. Additionally, the local dependence LRA, local dependence biclustering, and bicluster network model are methods that search and visualize inter-item (or inter-field) network structure using the mechanism of BNM. As this book offers a new perspective on test data analysis methods, it is certain to widen readers? perspective on test data analysis. . 410 0$aBehaviormetrics: Quantitative Approaches to Human Behavior,$x2524-4035 ;$v13 606 $aSocial sciences$xStatistical methods 606 $aStatistics 606 $aPolitical planning 606 $aPsychometrics 606 $aMachine learning 606 $aStatistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy 606 $aStatistical Theory and Methods 606 $aPublic Policy 606 $aPsychometrics 606 $aMachine Learning 606 $aEstadística bayesiana$2thub 606 $aAnàlisi de conglomerats$2thub 606 $aMineria de dades$2thub 606 $aTests i proves en educació$2thub 606 $aProcessament de dades$2thub 606 $aVisualització de la informació$2thub 608 $aLlibres electrònics$2thub 615 0$aSocial sciences$xStatistical methods. 615 0$aStatistics. 615 0$aPolitical planning. 615 0$aPsychometrics. 615 0$aMachine learning. 615 14$aStatistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy. 615 24$aStatistical Theory and Methods. 615 24$aPublic Policy. 615 24$aPsychometrics. 615 24$aMachine Learning. 615 7$aEstadística bayesiana 615 7$aAnàlisi de conglomerats 615 7$aMineria de dades 615 7$aTests i proves en educació 615 7$aProcessament de dades 615 7$aVisualització de la informació 676 $a519.542 700 $aShojima$b Kojiro$01253368 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a996485661803316 996 $aTest Data Engineering$92905925 997 $aUNISA