Literaturnachweis - Detailanzeige
| Autor/inn/en | Suh, Youngsuk; Bolt, Daniel M. |
|---|---|
| Titel | Nested Logit Models for Multiple-Choice Item Response Data |
| Quelle | In: Psychometrika, 75 (2010) 3, S.454-473 (20 Seiten)
PDF als Volltext |
| Sprache | englisch |
| Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
| ISSN | 0033-3123 |
| DOI | 10.1007/s11336-010-9163-7 |
| Schlagwörter | Computation; Simulation; Psychometrics; Models; Measurement; Measurement Techniques; Maximum Likelihood Statistics; Item Response Theory; Data Analysis; Multiple Choice Tests; Test Items |
| Abstract | Nested logit item response models for multiple-choice data are presented. Relative to previous models, the new models are suggested to provide a better approximation to multiple-choice items where the application of a solution strategy precedes consideration of response options. In practice, the models also accommodate collapsibility across all distractor categories, making it easier to allow decisions about including distractor information to occur on an item-by-item or application-by-application basis without altering the statistical form of the correct response curves. Marginal maximum likelihood estimation algorithms for the models are presented along with simulation and real data analyses. (As Provided). |
| Anmerkungen | Springer. 233 Spring Street, New York, NY 10013. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-348-4505; e-mail: service-ny@springer.com; Web site: http://www.springerlink.com |
| Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
| Update | 2017/4/10 |
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