Adaptive Weight Estimation of Latent Ability: Application to Computerized Adaptive Testing with Response Revision

Autor/inn/en	Wang, Shiyu; Xiao, Houping; Cohen, Allan
Titel	Adaptive Weight Estimation of Latent Ability: Application to Computerized Adaptive Testing with Response Revision
Quelle	In: Journal of Educational and Behavioral Statistics, 46 (2021) 5, S.560-591 (32 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1076-9986
DOI	10.3102/1076998620972800
Schlagwörter	Computer Assisted Testing; Adaptive Testing; Computation; Robustness (Statistics); Item Response Theory; Maximum Likelihood Statistics + Suchen Sie Ihr Suchwort? Widerstandsfähigkeit; Item-Response-Theorie
Abstract	An adaptive weight estimation approach is proposed to provide robust latent ability estimation in computerized adaptive testing (CAT) with response revision. This approach assigns different weights to each distinct response to the same item when response revision is allowed in CAT. Two types of weight estimation procedures, nonfunctional and functional weight, are proposed to determine the weight adaptively based on the compatibility of each revised response with the assumed statistical model in relation to remaining observations. The application of this estimation approach to a data set collected from a large-scale multistage adaptive testing demonstrates the capability of this method to reveal more information regarding the test taker's latent ability by using the valid response path compared with only using the very last response. Limited simulation studies were concluded to evaluate the proposed ability estimation method and to compare it with several other estimation procedures in literature. Results indicate that the proposed ability estimation approach is able to provide robust estimation results in two test-taking scenarios. (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