Literaturnachweis - Detailanzeige
| Autor/inn/en | Guo, Hongwen; Ling, Guangming; Frankel, Lois |
|---|---|
| Titel | Using Existing Data to Inform Development of New Item Types. Research Report. ETS RR-20-01 |
| Quelle | In: ETS Research Report Series, (2020), (16 Seiten)Infoseite zur Zeitschrift
PDF als Volltext kostenfreie Datei |
| Sprache | englisch |
| Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
| ISSN | 2330-8516 |
| Schlagwörter | Test Construction; Test Items; Item Analysis; Psychometrics; Test Reliability; Test Validity; Scoring; Efficiency; Item Response Theory; Simulation |
| Abstract | With advances in technology, researchers and test developers are developing new item types to measure complex skills like problem solving and critical thinking. Analyzing such items is often challenging because of their complicated response patterns, and thus it is important to develop psychometric methods for practitioners and researchers to analyze these new item types. In this study, we describe a generic approach that involves data-driven analyses and expert feedback from different research areas so that the analysis results can provide valuable information to test developers and researchers on how complex item types contribute to score reliability and validity and on how to make the test more efficient and reliable in measuring complex skills. A real data example was used to illustrate how to identify nonfunctioning options that might be removed from the test and whether partial credit for certain response selections can be considered. (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 | 2024/1/01 |
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