Statistical Inference for Diagnostic Classification

Statistical Inference for Diagnostic Classification

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时间:2019-08-01

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1、StatisticalInferenceforDiagnosticClassi cationModelsGongjunXuSubmittedinpartialful llmentoftherequirementsforthedegreeofDoctorofPhilosophyintheGraduateSchoolofArtsandSciencesCOLUMBIAUNIVERSITY2013c2013GongjunXuAllRightsReservedABSTRACTStatisticalInferenceforDiagnosticCla

2、ssi cationModelsGongjunXuDiagnosticclassi cationmodels(DCM)areanimportantrecentdevelopmentined-ucationalandpsychologicaltesting.Insteadofanoveralltestscore,adiagnostictestprovideseachsubjectwithapro ledetailingtheconceptsandskills(oftencalledattributes)thathe/shehasmaste

3、red.CentraltomanyDCMsistheso-calledQ-matrix,anincidencematrixspecifyingtheitem-attributerelationship.ItiscommonpracticefortheQ-matrixtobespeci edbyexpertswhenitemsarewritten,ratherthanthroughdata-drivencalibration.Suchanon-empiricalapproachmayleadtomisspeci cationoftheQ-

4、matrixandsubstantiallackofmodel t,resultinginerro-neousinterpretationoftestingresults.Thismotivatesourstudyandweconsidertheidenti ability,estimation,andhypothesistestingoftheQ-matrix.Inaddition,westudytheidenti abilityofdiagnosticmodelparametersunderaknownQ-matrix.The rs

5、tpartofthisthesisisconcernedwithestimationoftheQ-matrix.Inparticular,wepresentde nitiveanswerstothelearnabilityoftheQ-matrixforoneofthemostcommonlyusedmodels,theDINAmodel,byspecifyingasetofsu-cientconditionsunderwhichtheQ-matrixisidenti ableuptoanexplicitlyde nedequival

6、enceclass.Wealsopresentthecorrespondingdata-drivenconstructionoftheQ-matrix.Theresultsandanalysisstrategiesaregeneralinthesensethattheycanbefurtherextendedtootherdiagnosticmodels.ThesecondpartofthethesisfocusesonstatisticalvalidationoftheQ-matrix.Thepurposeofthisstudyist

7、oprovideastatisticalproceduretohelpdecidewhethertoaccepttheQ-matrixprovidedbytheexperts.Statistically,thisproblemcanbeformulatedasapuresigni cancetestingproblemwithnullhypothesisH0:Q=Q0,whereQ0isthecandidateQ-matrix.Weproposeateststatisticthatmeasurestheconsistencyofobse

8、rveddatawiththeproposedQ-matrix.Theoreticalpropertiesoftheteststatisticarestudied.Inaddition,weconducts

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