Literaturnachweis - Detailanzeige
| Autor/inn/en | Lee, Won-Chan; Kim, Stella Y.; Choi, Jiwon; Kang, Yujin |
|---|---|
| Titel | IRT Approaches to Modeling Scores on Mixed-Format Tests |
| Quelle | In: Journal of Educational Measurement, 57 (2020) 2, S.230-254 (25 Seiten)Infoseite zur Zeitschrift
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| Sprache | englisch |
| Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
| ISSN | 0022-0655 |
| DOI | 10.1111/jedm.12248 |
| Schlagwörter | Raw Scores; Item Response Theory; Test Format; Multiple Choice Tests; Classification; Accuracy; Error of Measurement; Reliability; Comparative Analysis; Psychometrics |
| Abstract | This article considers psychometric properties of composite raw scores and transformed scale scores on mixed-format tests that consist of a mixture of multiple-choice and free-response items. Test scores on several mixed-format tests are evaluated with respect to conditional and overall standard errors of measurement, score reliability, and classification consistency and accuracy under three item response theory (IRT) frameworks: unidimensional IRT (UIRT), simple structure multidimensional IRT (SS-MIRT), and bifactor multidimensional IRT (BF-MIRT) models. Illustrative examples are presented using data from three mixed-format exams with various levels of format effects. In general, the two MIRT models produced similar results, while the UIRT model resulted in consistently lower estimates of reliability and classification consistency/accuracy indices compared to the MIRT models. (As Provided). |
| Anmerkungen | Wiley-Blackwell. 350 Main Street, Malden, MA 02148. Tel: 800-835-6770; Tel: 781-388-8598; Fax: 781-388-8232; e-mail: cs-journals@wiley.com; Web site: http://www.wiley.com/WileyCDA |
| Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
| Update | 2024/1/01 |
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