Literaturnachweis - Detailanzeige
Autor/inn/en | Walker, Cindy M.; Göçer Sahin, Sakine |
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Titel | Using Differential Item Functioning to Test for Interrater Reliability in Constructed Response Items |
Quelle | In: Educational and Psychological Measurement, 80 (2020) 4, S.808-820 (13 Seiten)Infoseite zur Zeitschrift
PDF als Volltext |
Zusatzinformation | ORCID (Walker, Cindy M.) |
Sprache | englisch |
Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
ISSN | 0013-1644 |
DOI | 10.1177/0013164419899731 |
Schlagwörter | Test Bias; Interrater Reliability; Responses; Correlation; Test Theory; Test Reliability; Statistical Analysis |
Abstract | The purpose of this study was to investigate a new way of evaluating interrater reliability that can allow one to determine if two raters differ with respect to their rating on a polytomous rating scale or constructed response item. Specifically, differential item functioning (DIF) analyses were used to assess interrater reliability and compared with traditional interrater reliability measures. Three different procedures that can be used as measures of interrater reliability were compared: (1) intraclass correlation coefficient (ICC), (2) Cohen's kappa statistic, and (3) DIF statistic obtained from Poly-SIBTEST. The results of this investigation indicated that DIF procedures appear to be a promising alternative to assess the interrater reliability of constructed response items, or other polytomous types of items, such as rating scales. Furthermore, using DIF to assess interrater reliability does not require a fully crossed design and allows one to determine if a rater is either more severe, or more lenient, in their scoring of each individual polytomous item on a test or rating scale. (As Provided). |
Anmerkungen | SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: http://sagepub.com |
Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
Update | 2024/1/01 |