A Regression Discontinuity Design Framework for Controlling Selection Bias in Evaluations of Differential Item Functioning

Autor/inn/en	Koziol, Natalie A.; Goodrich, J. Marc; Yoon, HyeonJin
Titel	A Regression Discontinuity Design Framework for Controlling Selection Bias in Evaluations of Differential Item Functioning
Quelle	In: Educational and Psychological Measurement, 82 (2022) 6, S.1247-1277 (31 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Koziol, Natalie A.)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0013-1644
DOI	10.1177/00131644211068440
Schlagwörter	Regression (Statistics); Item Analysis; Validity; Testing Accommodations; Test Items; Guidelines; Error of Measurement; Simulation; Comparative Analysis; Effect Size; Statistical Bias; Sample Size; Test Length + Suchen Sie Ihr Suchwort? Regression; Regressionsanalyse; Itemanalyse; Gültigkeit; Testing process; Accessibility (for disabled); Accessibility; Disabled person; Testdurchführung; Testen; Barrierefreiheit; Zugänglichkeit; Behinderter; Test content; Testaufgabe; Richtlinien; Messfehler; Simulation program; Simulationsprogramm
Abstract	Differential item functioning (DIF) is often used to examine validity evidence of alternate form test accommodations. Unfortunately, traditional approaches for evaluating DIF are prone to selection bias. This article proposes a novel DIF framework that capitalizes on regression discontinuity design analysis to control for selection bias. A simulation study was performed to compare the new framework with traditional logistic regression, with respect to Type I error and power rates of the uniform DIF test statistics and bias and root mean square error of the corresponding effect size estimators. The new framework better controlled the Type I error rate and demonstrated minimal bias but suffered from low power and lack of precision. Implications for practice are discussed. (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: https://sagepub.com
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01