LEADER 04852nam 22006615 450 001 9910957962303321 005 20250801063317.0 010 $a1-4757-2691-0 024 7 $a10.1007/978-1-4757-2691-6 035 $a(CKB)2550000001040520 035 $a(DE-He213)978-1-4757-2691-6 035 $a(MiAaPQ)EBC3070638 035 $a(EXLCZ)992550000001040520 100 $a20130128d1997 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aHandbook of Modern Item Response Theory /$fedited by Wim J. van der Linden, Ronald K. Hambleton 205 $a1st ed. 1997. 210 1$aNew York, NY :$cSpringer New York :$cImprint: Springer,$d1997. 215 $a1 online resource (XVI, 512 p.) 311 08$a0-387-94661-6 311 08$a1-4419-2849-9 320 $aIncludes bibliographical references and indexes. 327 $a1. Item Response Theory: Brief History, Common Models, and Extensions -- 2. The Nominal Categories Model -- 3. A Response Model for Multiple-Choice Items -- 4. The Rating Scale Model -- 5. Graded Response Model -- 6. The Partial Credit Model -- 7. A Steps Model to Analyze Partial Credit -- 8. Sequential Models for Ordered Responses -- 9. A Generalized Partial Credit Model -- 10. A Logistic Model for Time-Limit Tests -- 11. Models for Speed and Time-Limit Tests -- 12. Multiple-Attempt, Single-Item Response Models -- 13. Unidimensional Linear Logistic Rasch Models -- 14. Response Models with Manifest Predictors -- 15. Normal-Ogive Multidimensional Model -- 16. A Linear Logistic Multidimensional Model for Dichotomous Item Response Data -- 17. Loglinear Multidimensional Item Response Model for Polytomously Scored Items -- 18. Multicomponent Response Models -- 19. Multidimensional Linear Logistic Models for Change -- 20. Nonparametric Models for Dichotomous Responses -- 21. Nonparametric Models for Polytomous Responses -- 22. A Functional Approach to Modeling Test Data -- 23. An Hyperbolic Cosine IRT Model for Unfolding Direct Responses of Persons to Items -- 24. PARELLA: An IRT Model for Parallelogram Analysis -- 25. Multiple Group IRT -- 26. Logistic Mixture Models -- 27. Models for Locally Dependent Responses: Conjunctive Item Response Theory -- 28. Mismatch Models for Test Formats that Permit Partial Information To Be Shown -- Author Index. 330 $aItem response theory has become an essential component in the toolkit of every researcher in the behavioral sciences. It provides a powerful means to study individual responses to a variety of stimuli, and the methodology has been extended and developed to cover many different models of interaction. This volume presents a wide-ranging handbook to item response theory - and its applications to educational and psychological testing. It will serve as both an introduction to the subject and also as a comprehensive reference volume for practitioners and researchers. It is organized into six major sections: the nominal categories model, models for response time or multiple attempts on items, models for multiple abilities or cognitive components, nonparametric models, models for nonmonotone items, and models with special assumptions. Each chapter in the book has been written by an expert of that particular topic, and the chapters have been carefully edited to ensure that a uniform style of notation and presentation is used throughout. As a result, all researchers whose work uses item response theory will find this an indispensable companion to their work and it will be the subject's reference volume for many years to come. 606 $aSociology$xMethodology 606 $aPsychometrics 606 $aSocial sciences$xStatistical methods 606 $aBiometry 606 $aBiomathematics 606 $aSociological Methods 606 $aPsychometrics 606 $aStatistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy 606 $aBiostatistics 606 $aMathematical and Computational Biology 615 0$aSociology$xMethodology. 615 0$aPsychometrics. 615 0$aSocial sciences$xStatistical methods. 615 0$aBiometry. 615 0$aBiomathematics. 615 14$aSociological Methods. 615 24$aPsychometrics. 615 24$aStatistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy. 615 24$aBiostatistics. 615 24$aMathematical and Computational Biology. 676 $a150/.28/7 701 $aLinden$b Wim J. van der$0252847 701 $aHambleton$b Ronald K$0123047 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910957962303321 996 $aHandbook of Modern Item Response Theory$94431433 997 $aUNINA