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The Wiley handbook of psychometric testing : a multidisciplinary reference on survey, scale, and test development PDF

1032 Pages·2018·9.41 MB·English
by  Irwing
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The Wiley Handbook of Psychometric Testing The Wiley Handbook of Psychometric Testing A Multidisciplinary Reference on Survey, Scale and Test Development Volume One Edited by Paul Irwing Tom Booth David J. Hughes Thiseditionfirstpublished2018 ©2018JohnWiley&SonsLtd Allrightsreserved.Nopartofthispublicationmaybereproduced,storedinaretrievalsystem,or transmitted,inanyformorbyanymeans,electronic,mechanical,photocopying,recordingor otherwise,exceptaspermittedbylaw.Adviceonhowtoobtainpermisiontoreusematerialfromthis titleisavailableathttp://www.wiley.com/go/permissions. TherightofPaulIrwing,TomBooth,andDavidJ.Hughestobeidentifiedastheauthorsofthe editorialmaterialinthisworkhasbeenassertedinaccordancewithlaw. RegisteredOffices JohnWiley&Sons,Inc.,111RiverStreet,Hoboken,NJ07030,USA JohnWiley&SonsLtd,TheAtrium,SouthernGate,Chichester,WestSussex,PO198SQ,UK EditorialOffice TheAtrium,SouthernGate,Chichester,WestSussex,PO198SQ,UK Fordetailsofourglobaleditorialoffices,customerservices,andmoreinformationaboutWileyproductsvisit usatwww.wiley.com. Wileyalsopublishesitsbooksinavarietyofelectronicformatsandbyprint-on-demand.Somecontent thatappearsinstandardprintversionsofthisbookmaynotbeavailableinotherformats. LimitofLiability/DisclaimerofWarranty Whilethepublisherandauthorhaveusedtheirbesteffortsinpreparingthisbook,theymakeno representationsorwarrantieswithrespecttotheaccuracyorcompletenessofthecontentsofthisbook andspecificallydisclaimanyimpliedwarrantiesofmerchantabilityorfitnessforaparticularpurpose.Itis soldontheunderstandingthatthepublisherisnotengagedinrenderingprofessionalservicesandneither thepublishernortheauthorsshallbeliablefordamagesarisingherefrom.Ifprofessionaladviceorother expertassistanceisrequired,theservicesofacompetentprofessionalshouldbesought. LibraryofCongressCataloging-in-PublicationData Names:Irwing,Paul,editor. Title:TheWileyhandbookofpsychometrictesting:amultidisciplinaryreference onsurvey,scaleandtestdevelopment/editedbyPaulIrwing, ManchesterUniversity,UK,TomBooth,TheUniversityofEdinburgh, Edinburgh,UK,DavidJ.Hughes,ManchesterBusinessSchool,Manchester,UK. Description:FirstEdition.|Hoboken:Wiley,2018.|Includesbibliographical referencesandindex.| Identifiers:LCCN2017041032(print)|LCCN2017061203(ebook)| ISBN9781118489826(pdf)|ISBN9781118489703(epub)| ISBN9781118489833(cloth:alk.paper)|ISBN9781119121176(pbk.:alk.paper) Subjects:LCSH:Psychometrics.|Psychologicaltests. Classification:LCCBF39(ebook)|LCCBF39.W5452018(print)| DDC150.28/7–dc23 LCrecordavailableathttps://lccn.loc.gov/2017041032 Coverimage:PrintedwithpermissionfromAnnaBrown CoverdesignbyWiley Setin10/12ptGalliardbySPiGlobal,Pondicherry,India 10 9 8 7 6 5 4 3 2 1 Contents Notes on Contributors to Volume 1 vii Preface xi Introduction xiii VOLUMEI Part I Practical Foundations 1 1 Test Development 3 Paul Irwing and David J. Hughes 2 ClassicalTest Theory and Item Response Theory 49 Christine E. DeMars 3 Item Generation 75 Kristin M. Morrison andSusan Embretson 4 SurveySampling and PropensityScore Matching 95 Bo Lu and Stanley Lemeshow 5 Sample SizePlanning for ConfirmatoryFactor Models: Powerand Accuracyfor Effects of Interest 113 Ken Kelley andKeke Lai 6 Missing Data Handling Methods 139 Craig K. Enders and Amanda N. Baraldi 7 Causal Indicators in Psychometrics 187 Aja L. Murray and Tom Booth Part II Identifying and Analyzing Scales 209 8 Fundamentals of CommonFactor Analysis 211 Stanley A.Mulaik vi Contents 9 Estimation Methods in Latent Variable Models for Categorical Outcome Variables 253 Li Cai and Irini Moustaki 10 Rotation 279 Robert I.Jennrich 11 The Number of Factors Problem 305 Marieke E.Timmerman, Urbano Lorenzo-Seva, andEva Ceulemans 12 Bifactor Models in Psychometric Test Development 325 Fang FangChen and Zugui Zhang 13 Nonnormality in Latent Trait Modelling 347 Dylan Molenaarand Conor V. Dolan 14 Multidimensional Scaling: An Introduction 375 William G. Jacoby and David J. Ciuk 15 Unidimensional Item Response Theory 413 Rob R. Meijerand Jorge N. Tendeiro Notes on Contributors to Volume 1 Amanda N. Baraldi is Assistant Professor of Psychology at Oklahoma State University. Dr. Baraldi received her doctorate in Quantitative Psychology from the Arizona State University in 2015. Dr. Baraldi’s current research interests include missingdataanalyses,methodsforassessingmediation,longitudinalgrowthmodelling, and health and prevention research. TomBoothisLecturerinQuantitativeResearchMethodsintheDepartmentofPsy- chology,UniversityofEdinburgh.Hisprimarymethodologicalinterestsareingeneral- ized latent variable modelling. His applied work covers individual differences, organizational, and health psychology. LiCaiisProfessorintheAdvancedQuantitativeMethodologyprogramintheUCLA Graduate Schoolof Education and InformationStudies. He also servesas Director of the National Center for Research on Evaluation, Standards, and Student Testing (CRESST). In addition, he is affiliated with the UCLA Department of Psychology. Hismethodologicalresearchagendainvolvesthedevelopmentoflatentvariablemodels that have wide-ranging applications in educational, psychological, and health-related domains of study. EvaCeulemansisProfessorofQuantitativeDataAnalysisattheFacultyofPsychology andEducationalSciences,UniversityofLeuven,Belgium.Herresearchfocusesonthe developmentofnewtechniquesformodellingmultivariatetimeseriesdataandmulti- groupdata,andexploringindividualorgroupdifferencestherein.Tothisend,sheoften combinesgeneralprinciplesofclusteranalysiswithdimensionreduction(principalcom- ponent analysis, factoranalysis) and/or regression. FangFangChenreceivedherM.S.inpsychologyfromPekingUniversity,herdoctoral traininginSocialandQuantitativePsychologyfromArizonaStateUniversity,andcom- pletedherpost-doctoraltrainingattheUniversityofNorthCarolinaatChapelHill.Her methodologicalworkfocuses onmeasurementinvarianceandthe bifactormodel. Dr. ChenwasanassistantprofessorofpsychologyattheUniversityofDelaware,andnowis a senior research biostatistician at the Nemours Center for the HealthCare Delivery Science. viii Notes on Contributors to Volume 1 DavidJ.CiukisanassistantprofessorintheDepartmentofGovernmentattheFrank- lin & Marshall College. His academic interests center on public opinion and political psychology.Hisresearchaimstobuildabetterunderstandingoftheattitudeformation processinthemasspublic.Morespecifically,helooksathowmoralsandvalues,policy information,andpoliticalidentityaffectpoliticalattitudes.Heisalsointerestedinsurvey experimental designs, measurement, and various public health issues. ChristineE.DeMarsservesatJamesMadisonUniversityasaprofessorinthedepart- mentofgraduatepsychologyandaseniorassessmentspecialistintheCenterforAssess- mentandResearchStudies.SheteachescoursesinItemResponseTheory,ClassicalTest Theory,andGeneralizabilityTheory,andsupervisesPh.D.students.Herresearchinter- estsincludeappliedandtheoreticaltopicsinitemresponsetheory,differentialitemfunc- tioning, test-taking motivation, and other issues in operational testing. ConorV.DolanisProfessorattheVUUniversity,Amsterdam.Hisresearchinterests include: covariance structure modelling, mixture analyses, modelling of multivariate intelligence test scores, and modelling genotype-environment interplay. SusanEmbretsonisProfessorofPsychologyattheGeorgiaInstituteofTechnology. She hasbeenrecognizednationallyandinternationally for herprogrammaticresearch onintegratingcognitivetheoryintopsychometricitemresponsetheorymodelsandinto thedesignofmeasurementtasks.ShehasreceivedawardsfromtheNationalCouncilon Measurement and Education; American Educational Research Association; and the American Psychological Association Division for research and theory on item genera- tion from cognitive theory. CraigK.EndersisaProfessorintheDepartmentofPsychologyatUCLAwhereheisa member of the Quantitative program area. Professor Enders teaches graduate-level courses in missing data analyses, multilevel modelling, and longitudinal modelling. The majority of his research focuses on analytic issues related to missing dataanalyses andmultilevelmodelling.Hisbook,AppliedMissingDataAnalysis,waspublishedwith Guilford Press in2010. DavidJ.HughesisanOrganisationalPsychologistatManchesterBusinessSchool.His research interests centre on individual differences and can be broken down into three mainareas:thetheoryandmeasurementofindividualdifferences,individualdifferences atwork,andindividualdifferencesinfinancialbehavior.Heisinterestedinpsychomet- rictestevaluationandhisstatisticalinterestsrevolvearoundgeneralizedlatentvariable models, in particular structural equation modelling, factor models, and other models appropriate for multivariate data with complex structures. Paul Irwing is Professor of Psychometrics at the Manchester Business School. He chairedthePsychometricsatWorkResearchGroupandisadirectorofthepsychometric publishingcompanyE-metrixx.Hehasauthoredtworesearchandtwocommercialpsy- chometricmeasures.Heisknownforresearchonsexdifferencesandpioneeringwork onthegeneralfactorofpersonality.Hiscurrentresearchconcernsthe11+FactorModel ofPersonality,andthenewlyproposedindividualdifferenceofPersonalityAdaptability. William G. Jacoby is Professor of Political Science at Michigan State University and Editor of the American Journal of Political Science. He is the former Director of the Inter-university Consortium for Political and Social Research (ICPSR) Summer Pro- gram in Quantitative Methods of Social Research and former Editor of the Journal Notes on Contributors to Volume 1 ix ofPolitics.ProfessorJacoby’sareasofprofessionalinterestincludemasspoliticalbehav- ior and quantitative methodology (especially scaling methods, measurement theory, and statistical graphics). Robert I. Jennrich began his work with the development of the first internationally used statistical software package BMD. His main field is statistical computing. He contributed to the development of nearly half of the 25 programs in this package. Because of this, he was a member of the 1972 Soviet-American Scientific Exchange DelegationonComputing.Sincetheseearlydays,hehaspublishedpapersonstepwise linearandnon-linearregression,stepwisediscriminantanalysis,goodness-of-fittesting forcovariancestructureanalysis,andanumberofpapersinfactoranalysis,primarilyon rotation. Hehas recently beennominated for alifetime achievement award,whichhe unfortunately didn’tget. KenKelleyisProfessorofInformationTechnology,Analytics,andOperations(ITAO) andtheAssociateDeanforFacultyandResearchintheMendozaCollegeofBusinessat theUniversityofNotreDame.ProfessorKelley’sworkisonquantitativemethodology, wherehefocusesonthedevelopment,improvement,andevaluationofstatisticalmethods andmeasurementissues.ProfessorKelley’sspecialtiesareintheareasofresearchdesign, effect size estimation and confidence interval formation, longitudinal data analysis, and statisticalcomputing.Inadditiontohismethodologicalwork,ProfessorKelleycollabo- rateswithcolleaguesonavarietyofimportanttopicsapplyingmethods.ProfessorKelleyis anAccreditedProfessionalStatistician™(PStat®)bytheAmericanStatisticalAssociation, associateeditorofPsychologicalMethods,andrecipientoftheAnneAnastasiearlycareer award by the American Psychological Association’s Division of Evaluation, Measure- ment,&Statistics,andafellowoftheAmericanPsychologicalAssociation. KekeLaiisAssistantProfessorofQuantitativePsychologyatUniversityofCalifornia, Merced. His research interests include structural equation modelling and multilevel modelling. StanleyLemeshowearnedhisPh.D.atUCLA,andhisMSPHatUNC.Hehascoau- thored three textbooks: Applied Logistic Regression; Applied Survival Analysis; and Sampling of Populations – Methods and Applications. His honors include: the Wiley Lifetime Award (2003); UCLA School of Public Health Alumni Hall of Fame (2006); Fellow of the AAAS (2003); Distinguished Graduate Alumnus (Biostatistics) – UNC Graduate School Centennial (2003); Fellow of the ASA (1995); and the Sta- tistics Section Award of the APHA (1995). UrbanoLorenzo-SevaisaprofessorintheDepartmentofPsychologyatUniversitat RoviraiVirgili,Spain.HeisthecoauthorofFACTOR,afree-sharedsoftwaretocom- puteexploratoryfactoranalysis,andhaspublishednumerousarticlesrelatedtothissub- ject. His research interests include the development of new methods for exploratory dataanalysis,andappliedpsychometricresearch.Hehastaughtdataanalysisatuniver- sity level and inshort courses for many years. BoLuearnedhisPh.D.inStatisticsfromtheUniversityofPennsylvania.Heisanasso- ciate professor of Biostatistics at the Ohio State University. His research expertise includescausalinferencewithpropensityscorebasedadjustmentforobservationaldata, surveysamplingdesignandanalysis,statisticalmodelsformissingdata.HehasbeenPIs for multiple NIH and AHRQ grants and served as the lead statistician for the Ohio MedicaidAssessment Survey series since 2008. x Notes on Contributors to Volume 1 Rob R. Meijer is Professor in Psychometrics and Statistics at the University of Gro- ningen,theNetherlands.Hisworkisinitemresponsetheoryandapplicationsoftesting. Heisalsointerestedineducationalassessmentandeducationalandpersonnelselection. DylanMolenaarisAssistantProfessorattheDepartmentofPsychology,Universityof Amsterdam. His research interests include: item response theory, factor analysis, and response time modelling. KristinM.Morrison isanadvanced Ph.D.studentattheGeorgiaInstituteofTech- nology. She has published and presented work on item generation at various confer- ences and meetings. Other research interests include computer adaptive testing, multistage testing, educational research, and cognitive complexity. IriniMoustakiisProfessorofSocialStatisticsattheLondonSchoolofEconomicsand Political Science. Her research interests are in the areas of latent variable models and structural equation models. Her methodological work includes treatment of missing data, longitudinal data, detection of outliers, goodness-of-fit tests, and advanced esti- mationmethods.Furthermore,shehasmademethodologicalandappliedcontributions in the areas of comparative cross-national studies and epidemiological studies on rare diseases.Shehascoauthoredtwobooksonlatentvariablemodels.ShewaselectedEdi- tor inChief of the journal Psychometrikain November 2014. StanleyA.MulaikisEmeritusProfessorintheSchoolofPsychology,GeorgiaInstitute ofTechnology.Hisworkhasbroadlyfocussedonlatentvariablemodelsandtheunder- lying philosophy of causality. He is the author of the influential texts, Foundations of Factor Analysisand LinearCausal Modeling with Structural Equations. Aja L. Murray is a Research Associate in the Violence Research Centre, Institute of Criminology, University of Cambridge. Her research interests include psychometrics and childhood and adolescent mental health developmental. JorgeN.TendeiroisAssistantProfessorattheUniversityofGroningen,theNether- lands.Hehasresearchinterestswithinitemresponsetheory(IRT),withalargefocuson person-fit analyses. Besides (co)authoring several papers on this topic, he is also the author of the PerFit R package. He is currently extending person-fit approaches to a broader type of IRT, which include the unfolding model. Marieke E. Timmerman is a professor in multivariate data analysis at the Heymans InstituteforPsychologicalResearchattheUniversityofGroningen,TheNetherlands. Herresearchfocusesonthedevelopmentofmodelsformultivariatedatawithcomplex structures, to achieve an understanding of the processes underlying these, mainly psychological,data.Herresearchinterestsarelatentvariablemodelling,datareduction methods,includingmultisetmodels,andclassification.Sheservesasanassociateeditor of Psychometrika. ZuguiZhangobtainedhisPh.D.inbiostatisticsfromtheUniversityofIowa.Heisthe lead Biostatistician of the Value Institute of Christiana Care Health System, Assistant ProfessoratThomasJeffersonUniversity,andJointProfessorattheUniversityofDel- aware.Hehasabroadbackgroundinbiostatistics,healthoutcomesresearch,qualityof life,publichealth,epidemiology,andhealtheconomics.Hehasworkedextensivelyon large international and national, multicenter, randomized clinical trials, and observa- tional studies.

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A must-have resource for researchers, practitioners, and advanced students interested or involved in psychometric testing Over the past hundred years, psychometric testing has proved to be a valuable tool for measuring personality, mental ability, attitudes, and much more. The word 'psychometrics' c
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