Quantitative Psychology Research: The 79th Annual Meeting of the Psychometric Society, Madison, Wisconsin, 2014 PDF
Preview Quantitative Psychology Research: The 79th Annual Meeting of the Psychometric Society, Madison, Wisconsin, 2014
Springer Proceedings in Mathematics & Statistics L. Andries van der Ark Daniel M. Bolt Wen-Chung Wang Jeff rey A. Douglas Sy-Miin Chow Editors Quantitative Psychology Research The 79th Annual Meeting of the Psychometric Society, Madison, Wisconsin, 2014 Springer Proceedings in Mathematics & Statistics Volume 140 Moreinformationaboutthisseriesathttp://www.springer.com/series/10533 Springer Proceedings in Mathematics & Statistics Thisbookseriesfeaturesvolumescomposedofselectcontributionsfromworkshops and conferences in all areas of current research in mathematics and statistics, includingoperationresearchandoptimization.Inadditiontoanoverallevaluation of the interest, scientific quality, and timeliness of each proposal at the hands of thepublisher,individualcontributionsareallrefereedtothehighqualitystandards of leadingjournalsin the field. Thus, this series providesthe researchcommunity with well-edited, authoritativereports on developmentsin the most exciting areas ofmathematicalandstatisticalresearchtoday. L. Andries van der Ark • Daniel M. Bolt Wen-Chung Wang • Jeffrey A. Douglas Sy-Miin Chow Editors Quantitative Psychology Research The 79th Annual Meeting of the Psychometric Society, Madison, Wisconsin, 2014 123 Editors L.AndriesvanderArk DanielM.Bolt UniversityofAmsterdam UniversityofWisconsin Amsterdam,TheNetherlands Madison,WI,USA Wen-ChungWang JeffreyA.Douglas TheHongKongInstituteofEducation UniversityofIllinois HongKong,HongKongSAR Champaign,IL,USA Sy-MiinChow ThePennStateUniversity UniversityPark,PA,USA ISSN2194-1009 ISSN2194-1017 (electronic) SpringerProceedingsinMathematics&Statistics ISBN978-3-319-19976-4 ISBN978-3-319-19977-1 (eBook) DOI10.1007/978-3-319-19977-1 LibraryofCongressControlNumber:2015945591 SpringerChamHeidelbergNewYorkDordrechtLondon ©SpringerInternationalPublishingSwitzerland2015 Thisworkissubjecttocopyright.AllrightsarereservedbythePublisher,whetherthewholeorpartof thematerialisconcerned,specificallytherightsoftranslation,reprinting,reuseofillustrations,recitation, broadcasting,reproductiononmicrofilmsorinanyotherphysicalway,andtransmissionorinformation storageandretrieval,electronicadaptation,computersoftware,orbysimilarordissimilarmethodology nowknownorhereafterdeveloped. Theuseofgeneraldescriptivenames,registerednames,trademarks,servicemarks,etc.inthispublication doesnotimply,evenintheabsenceofaspecificstatement,thatsuchnamesareexemptfromtherelevant protectivelawsandregulationsandthereforefreeforgeneraluse. Thepublisher,theauthorsandtheeditorsaresafetoassumethattheadviceandinformationinthisbook arebelievedtobetrueandaccurateatthedateofpublication.Neitherthepublishernortheauthorsor theeditorsgiveawarranty,expressorimplied,withrespecttothematerialcontainedhereinorforany errorsoromissionsthatmayhavebeenmade. Printedonacid-freepaper SpringerInternational PublishingAGSwitzerlandispartofSpringerScience+Business Media(www. springer.com) Preface Thisvolumeis a collectionof presentationsgivenatthe 79th annualInternational MeetingofthePsychometricSociety(IMPS)heldattheUniversityofWisconsin- Madison, in Madison, Wisconsin during July 21–25, 2014. The meeting attracted 380participantsfrom26countries,with242papersbeingpresented,alongwith56 posterpresentations,5pre-conferenceworkshops,5keynotepresentations,4invited speakerpresentations,4state-of-the-artlectures,and8invitedsymposia.Wethank theUniversityofWisconsin-Extensionstaff,aswellasthefacultyandstudentsfrom theDepartmentofEducationalPsychologyattheUniversityofWisconsin,Madison forhostingthisverysuccessfulconference. This volume continues a tradition started after the 77th meeting in Lincoln, Nebraska,ofpublishinga proceedingsvolumefromthe conferenceso as to allow presenters to quickly disseminate their ideas to the broader research community, whilestillundergoingathoroughreviewprocess.The78thmeetinginArnhemwas also followedby a proceedings.With the thirdproceedings,we nowhave a series that is expected to be continued next year with submissions from the 80th IMPS meetinginBeijing,China. We asked the authors to use their presentations at the meeting as the basis of their chapters, possibly extended with new ideas or additional information. The resultisaselectionof26state-of-the-artchaptersaddressingadiversesetoftopics, includingitemresponsetheory,factoranalysis,structuralequationmodelling,time seriesanalysis,mediationanalysis,propensityscoremethods,cognitivediagnostic models,andmulti-levelmodels,amongothers. Theproceedingsofthe77thand78thmeetingwereinitiatedbyRogerE.Millsap, the editor of Psychometrika. Just before finalizing the proceedings of the 78th meeting, on May 9, 2014, Roger suddenly passed away. This volume is the first proceedingsnotinitiatedbyRoger.Wededicateittohim. Amsterdam,TheNetherlands L.AndriesvanderArk Madison,WI,USA DanielM.Bolt HongKong,HongKongSAR Wen-ChungWang Urbana-Champaign,IL,USA JeffreyA.Douglas UniversityPark,PA,USA Sy-MiinChow v Contents 1 ExtendingtheUseofMultidimensionalIRTCalibration as Projection: Many-to-One Linking and Linear ComputationofProjectedScores......................................... 1 DavidThissen,YangLiu,BrookeMagnus,andHallyQuinn 2 TheReliabilityofDiagnosingBroadandNarrowSkills inMiddleSchoolMathematicswiththeMulticomponent LatentTraitModel ......................................................... 17 SusanEmbretson,KristinMorrison,andHeaWonJun 3 NewIRTModelsforExaminee-SelectedItems ......................... 27 Wen-ChungWangandChen-WeiLiu 4 Gauss–HermiteQuadraturein MarginalMaximum LikelihoodEstimationofItemParameters.............................. 43 Seock-Ho Kim, Yu Bao, Erin Horan, Meereem Kim, andAllanS.Cohen 5 GPU-AcceleratedComputing with Gibbs Sampler forthe2PNOIRTModel .................................................. 59 YanyanSheng,WilliamS.Welling,andMichelleM.Zhu 6 CollusionDetectionUsingJointResponseTimeModels............... 75 AnneThissen-RoeandMichaelS.Finger 7 The Performance of the Modified Multidimensional PriorityIndexforItemSelectioninVariable-LengthMCAT ......... 89 Ya-HuiSu 8 A Nonparametric Estimator of a Monotone ItemCharacteristicCurve................................................. 99 MarioLuzardoandPilarRodríguez 9 Goodness-of-FitMethodsforNonparametricIRTModels ............ 109 KlaasSijtsma,J.HendrikStraat,andL.AndriesvanderArk vii viii Contents 10 AComparisonofDifferentialItemFunctioning(DIF) Detection for Dichotomously Scored Items Using IRTPRO,BILOG-MG,andIRTLRDIF ................................. 121 MeiLingOng, Seock-HoKim, AllanCohen, andStephenCramer 11 An Empirical Study of the Impact of the Choice ofPersistence ModelsinValueAddedModelingupon TeacherEffectEstimates................................................... 133 YongLuo,HongJiao,andRobertLissitz 12 The Impact of Model Misspecification withMultidimensionalTestData ......................................... 145 SakineGocerSahin,CindyM.Walker,andSelahattinGelbal 13 Identifying Feature Sequences from Process Data inProblem-SolvingItemswithN-Grams................................ 173 QiweiHeandMatthiasvonDavier 14 Evaluating the Detection of Aberrant Responses inAutomatedEssayScoring............................................... 191 MoZhang,JingChen,andChunyiRuan 15 OnClosenessBetweenFactorAnalysisandPrincipal ComponentAnalysisUnderHigh-DimensionalConditions ........... 209 L.Liang,K.Hayashi,andKe-HaiYuan 16 TheInfinitesimalJackknifeandAnalysisofHigher OrderMoments............................................................. 223 RobertJennrichandAlbertSatorra 17 AGeneralSEMFrameworkforIntegratingModeration andMediation:TheConstrainedApproach............................. 233 Shu-PingChen 18 MasteryClassificationofDiagnosticClassificationModels............ 251 YuehmeiChien,NingYan,andChingweiD.Shin 19 Exploring Joint Maximum Likelihood Estimation forCognitiveDiagnosisModels........................................... 263 Chia-Yi Chiu, Hans-Friedrich Köhn, Yi Zheng, andRobertHenson 20 Neural Networks for Propensity Score Estimation: SimulationResultsandRecommendations.............................. 279 BryanKeller,Jee-SeonKim,andPeterM.Steiner 21 MultilevelPropensityScore Methods forEstimating CausalEffects:ALatentClassModelingStrategy..................... 293 Jee-SeonKimandPeterM.Steiner Contents ix 22 TheSensitivityAnalysisofTwo-LevelHierarchicalLinear ModelstoOutliers.......................................................... 307 JueWang,ZhenqiuLu,andAllanS.Cohen 23 Doubly Robust Estimation of Treatment Effects fromObservationalMultilevelData...................................... 321 CourtneyE.Hall,PeterM.Steiner,andJee-SeonKim 24 MediationAnalysiswithMissingDataThroughMultiple ImputationandBootstrap................................................. 341 ZhiyongZhang,LijuanWang,andXinTong 25 IssuesinAggregatingTimeSeries:IllustrationThrough anAR(1)Model............................................................. 357 Zhenqiu(Laura)LuandZhiyongZhang 26 PathDiagrams:LayoutAlgorithms,Styles,andViews ................ 371 Yiu-FaiYung
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