Exploration of Latent Structure in Test Revision and Review Log Data

Autor/inn/en	Zhang, Susu; Li, Anqi; Wang, Shiyu
Titel	Exploration of Latent Structure in Test Revision and Review Log Data
Quelle	In: Educational Measurement: Issues and Practice, 42 (2023) 4, S.53-65 (13 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Zhang, Susu) ORCID (Wang, Shiyu)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0731-1745
DOI	10.1111/emip.12576
Schlagwörter	Computer Assisted Testing; Test Construction; Test Wiseness; Test Items; Item Analysis; Bayesian Statistics + Suchen Sie Ihr Suchwort? Testaufbau; Test content; Testaufgabe; Itemanalyse
Abstract	In computer-based tests allowing revision and reviews, examinees' sequence of visits and answer changes to questions can be recorded. The variable-length revision log data introduce new complexities to the collected data but, at the same time, provide additional information on examinees' test-taking behavior, which can inform test development and instructions. In the current study, we used recently proposed statistical learning methods for sequence data to provide an exploratory analysis of item-level revision and review log data. Based on the revision log data collected from computer-based classroom assessments, common prototypes of revisit and review behavior were identified. The relationship between revision behavior and various item, test, and individual covariates was further explored under a Bayesian multivariate generalized linear mixed model. (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