Using Simulated Retests to Estimate the Reliability of Diagnostic Assessment Systems

Autor/inn/en	Thompson, W. Jake; Nash, Brooke; Clark, Amy K.; Hoover, Jeffrey C.
Titel	Using Simulated Retests to Estimate the Reliability of Diagnostic Assessment Systems
Quelle	In: Journal of Educational Measurement, 60 (2023) 3, S.455-475 (21 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Thompson, W. Jake) ORCID (Nash, Brooke) ORCID (Clark, Amy K.) ORCID (Hoover, Jeffrey C.)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0022-0655
DOI	10.1111/jedm.12359
Schlagwörter	Diagnostic Tests; Simulation; Test Reliability; Accuracy; Language Proficiency; English; Evaluation Methods + Suchen Sie Ihr Suchwort? Diagnostic test; Diagnostischer Test; Simulation program; Simulationsprogramm; Testreliabilität; Language skill; Language skills; Sprachkompetenz; English language; Englisch
Abstract	As diagnostic classification models become more widely used in large-scale operational assessments, we must give consideration to the methods for estimating and reporting reliability. Researchers must explore alternatives to traditional reliability methods that are consistent with the design, scoring, and reporting levels of diagnostic assessment systems. In this article, we describe and evaluate a method for simulating retests to summarize reliability evidence at multiple reporting levels. We evaluate how the performance of reliability estimates from simulated retests compares to other measures of classification consistency and accuracy for diagnostic assessments that have previously been described in the literature, but which limit the level at which reliability can be reported. Overall, the findings show that reliability estimates from simulated retests are an accurate measure of reliability and are consistent with other measures of reliability for diagnostic assessments. We then apply this method to real data from the Examination for the Certificate of Proficiency in English to demonstrate the method in practice and compare reliability estimates from observed data. Finally, we discuss implications for the field and possible next directions. (As Provided).
Anmerkungen	Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01