Literaturnachweis - Detailanzeige
| Autor/inn/en | Graf, Edith Aurora; Peterson, Stephen; Steffen, Manfred; Lawless, René |
|---|---|
| Titel | Psychometric and Cognitive Analysis as a Basis for the Design and Revision of Quantitative Item Models. Research Report. ETS RR-05-25 |
| Quelle | In: ETS Research Report Series, (2005), (40 Seiten)Infoseite zur Zeitschrift
PDF als Volltext kostenfreie Datei |
| Sprache | englisch |
| Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
| ISSN | 2330-8516 |
| Schlagwörter | Psychometrics; Accuracy; Item Analysis; High Stakes Tests; Statistical Analysis; Models; Test Items; Difficulty Level; Test Content; Specialists; Mathematics Tests; Item Response Theory; Test Validity; College Entrance Examinations; Graduate Study; Test Construction; Equations (Mathematics); Graduate Record Examinations |
| Abstract | We describe the item modeling development and evaluation process as applied to a quantitative assessment with high-stakes outcomes. In addition to expediting the item-creation process, a model-based approach may reduce pretesting costs, if the difficulty and discrimination of model-generated items may be predicted to a predefined level of accuracy. The development and evaluation of item models represents a collaborative effort among content specialists, statisticians, and cognitive scientists. A cycle for developing and revising item models that generate items with more predictable statistics is described. We review the goals of item modeling from different perspectives and recommend a method for structuring families of models that span content and generate items with more predictable psychometric parameters. [This report combines two documents, the original versions of which were included in a set of symposium papers presented at the International Association for Education Assessment conference in June 2004.] (As Provided). |
| Anmerkungen | Educational Testing Service. Rosedale Road, MS19-R Princeton, NJ 08541. Tel: 609-921-9000; Fax: 609-734-5410; e-mail: RDweb@ets.org; Web site: https://www.ets.org/research/policy_research_reports/ets |
| Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
| Update | 2020/1/01 |
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