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- catalog abstract "Using familiar concepts from classical measurement methods and basic statistics, the author and colleagues introduce the basics of item response theory (IRT) and explain the application of IRT methods to problems in test construction, identification of potentially biased test items, test equating, and computerized-adaptive testing. The book also includes a thorough discussion of alternative proceduers for estimating IRT parameters, such as maximum likehood estimation, marginal maximum likehood estimation, and Bayesian estimation in such a way that the reader does not need a knowledge of calculus to follow these explanations. Including step-by-step numerical examples throughout, the book concludes with an exploration of new directions in IRT research and development.".
- catalog contributor b3286750.
- catalog contributor b3286751.
- catalog contributor b3286752.
- catalog created "c1991.".
- catalog date "1991".
- catalog date "c1991.".
- catalog dateCopyrighted "c1991.".
- catalog description "Includes bibliographical references (p. 161-168) and index.".
- catalog description "Series editor's foreword / Richard M. Jaeger -- Preface -- 1. Background -- 2. Concepts, models, and features -- 3. Ability and item parameter estimation -- 4. Assessment of model-data fit -- 5. The ability scale -- 6. Item and test information and efficiency functions -- 7. Test construction -- 8. Identification of potentially biased test items -- 9. Test score equating -- 10. Computerized adaptive testing -- 111. Future directions of item response theory -- Appendix A. Classical and IRT parameter estimates for the New Mexico state proficiency exam -- Appendix B. Sources for IRT computer programs -- References -- Index -- About the authors.".
- catalog description "Using familiar concepts from classical measurement methods and basic statistics, the author and colleagues introduce the basics of item response theory (IRT) and explain the application of IRT methods to problems in test construction, identification of potentially biased test items, test equating, and computerized-adaptive testing. The book also includes a thorough discussion of alternative proceduers for estimating IRT parameters, such as maximum likehood estimation, marginal maximum likehood estimation, and Bayesian estimation in such a way that the reader does not need a knowledge of calculus to follow these explanations. Including step-by-step numerical examples throughout, the book concludes with an exploration of new directions in IRT research and development.".
- catalog extent "x, 174 p. :".
- catalog hasFormat "Fundamentals of item response theory.".
- catalog identifier "080393646X (cloth)".
- catalog identifier "0803936478 (pbk.)".
- catalog isFormatOf "Fundamentals of item response theory.".
- catalog isPartOf "Measurement methods for the social sciences series ; 2".
- catalog issued "1991".
- catalog issued "c1991.".
- catalog language "eng".
- catalog publisher "Newbury Park, Calif. : Sage Publications,".
- catalog relation "Fundamentals of item response theory.".
- catalog subject "150/.28/7 20".
- catalog subject "BF176 .H34 1991".
- catalog subject "Item response theory.".
- catalog subject "Psychological Tests.".
- catalog tableOfContents "Series editor's foreword / Richard M. Jaeger -- Preface -- 1. Background -- 2. Concepts, models, and features -- 3. Ability and item parameter estimation -- 4. Assessment of model-data fit -- 5. The ability scale -- 6. Item and test information and efficiency functions -- 7. Test construction -- 8. Identification of potentially biased test items -- 9. Test score equating -- 10. Computerized adaptive testing -- 111. Future directions of item response theory -- Appendix A. Classical and IRT parameter estimates for the New Mexico state proficiency exam -- Appendix B. Sources for IRT computer programs -- References -- Index -- About the authors.".
- catalog title "Fundamentals of item response theory / Ronald K. Hambleton, H. Swaminathan, H. Jane Rogers.".
- catalog type "text".