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001492817 020__ $$a9781462554539
001492817 020__ $$a1462554539
001492817 020__ $$z9781462554515
001492817 020__ $$z1462554512
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001492817 050_4 $$aBF176.2$$b.W45 2024
001492817 08204 $$a153.9/30285$$223/eng/20240522
001492817 1001_ $$aWeiss, David J.,$$eauthor.
001492817 24510 $$aComputerized adaptive testing :$$bfrom concept to implementation /$$cDavid J. Weiss, Alper Şahin.
001492817 264_1 $$aNew York :$$bThe Guilford Press,$$c[2024]
001492817 300__ $$a1 online resource.
001492817 336__ $$atext$$btxt$$2rdacontent
001492817 337__ $$acomputer$$bc$$2rdamedia
001492817 338__ $$aonline resource$$bcr$$2rdacarrier
001492817 4901_ $$aMethodology in the social sciences
001492817 504__ $$aIncludes bibliographical references and index.
001492817 5050_ $$aCover -- Half Title Page -- Series Page -- Title Page -- Copyright -- Dedication -- Series Editor's Note -- Preface -- Contents -- Part I. The Why, What, and How of CAT -- 1. Why CAT? -- What Is CAT? -- Benefits of CAT -- Psychometric Benefits -- Benefits for Examinees -- Organizational Benefits -- Challenges of CAT -- Organizational Challenges -- Examinee Challenges -- Psychometric Challenges -- When Is CAT Feasible and When Is It Not? -- 2. The Birth of Adaptive Testing and Its Current Status -- Binet's Adaptive Test -- The Evolution of Adaptive Testing into CAT -- Early Approaches to CAT
001492817 5058_ $$aTwo-Stage and Multistage Tests -- CATs from "Pyramidal" Item Structures -- The Self-Scoring Flexilevel Test -- The Stratified-Adaptive Test -- Deficiencies of the Early Approaches to CAT -- The Current Status of Applications of CAT -- 3. Item Response Theory Used in CAT -- Item Response Functions for Dichotomously Scored Items -- Option Response Functions for Polytomously Scored Items -- Information Functions -- Item Information Functions -- Test and Bank Information Functions -- Measuring People with IRT -- Maximum Likelihood Estimation of O -- Variations of Maximum Likelihood Estimation
001492817 5058_ $$aLinking and Equating -- Estimating IRT Item Parameters -- Selecting a Software Package -- Interpreting the Output -- Summary -- Advanced Topic: Item Parameter Estimation for Complex Models -- 4. Using CAT to Measure Individual Differences -- The Components of a Measurement CAT -- The Item Bank -- Beginning a CAT -- Selecting the Next Item -- Scoring Examinees -- Ending the CAT -- Putting It All Together: How CAT Works -- Sample CAT: Examinee A -- Sample CAT: Examinee B -- Some Properties of Fully Adaptive IRT-Based CATs -- Advanced Issues -- CAT Item Selection -- Ending a CAT
001492817 5058_ $$a5. CAT for Classification and Classification Plus Measurement -- Setting the Cutscore -- The Bank Response Function -- Types of Classification Applications -- Testing for Classification Only -- Adaptive Classification Test (ACT) -- Testing for Classification Plus Measurement -- Advanced Issues -- Cutscore- versus Estimate-Based Item Selection -- Ending an SCT When a O Estimate Is Too Close to the Cutscore -- Classifying with More Than Two Cutscores -- Classifying from Multiple Measurements -- Part II. Getting Your CAT Operational -- 6. Feasibility and Planning -- Developing a Business Case
001492817 5058_ $$aThe Item Bank -- Options and Costs -- Costs of Test Delivery -- Delivering High-Stakes CATs -- Custom Test Center Costs -- Potential Risks -- Psychometric Risks -- Nonpsychometric Risks -- Additional Considerations -- Developing a Project Plan -- Stakeholder Buy-In -- Implementing Simulations to Facilitate CAT Design -- Conclusions -- 7. Developing a CAT Item Bank: Writing and Evaluating Items -- How Many Items Do I Need in My Bank? -- Write as Many Items as You Can -- Do Not Build an Item Bank Solely for Today-Think about the Future as Well -- What Kinds of Items Work for CAT?
001492817 506__ $$aAccess limited to authorized users
001492817 533__ $$aElectronic reproduction.$$bAnn Arbor, MI$$nAvailable via World Wide Web.
001492817 588__ $$aDescription based on print version record.
001492817 650_0 $$aComputer adaptive testing.$$0(DLC)sh 95006191
001492817 650_0 $$aPsychological tests$$xData processing.
001492817 655_0 $$aElectronic books
001492817 7001_ $$aŞahin, Alper,$$eauthor.
001492817 7102_ $$aProQuest (Firm)
001492817 77608 $$iPrint version:$$aWeiss, David J.$$tComputerized adaptive testing.$$dNew York : The Guilford Press, [2024]$$z9781462554515$$w(DLC)  2023054163
001492817 77608 $$iPrint version:$$z9781462554515$$z1462554512$$w(DLC)  2023054163
001492817 830_0 $$aMethodology in the social sciences.
001492817 852__ $$bebk
001492817 85640 $$3GOBI DDA$$uhttps://univsouthin.idm.oclc.org/login?url=https://ebookcentral.proquest.com/lib/usiricelib-ebooks/detail.action?docID=31311594$$zOnline Access
001492817 909CO $$ooai:library.usi.edu:1492817$$pGLOBAL_SET
001492817 980__ $$aBIB
001492817 980__ $$aEBOOK
001492817 982__ $$aEbook
001492817 983__ $$aOnline