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Autor/inn/enGuarino, Cassandra M.; Maxfield, Michelle; Reckase, Mark D.; Thompson, Paul N.; Wooldridge, Jeffrey M.
TitelAn Evaluation of Empirical Bayes's Estimation of Value-Added Teacher Performance Measures
QuelleIn: Journal of Educational and Behavioral Statistics, 40 (2015) 2, S.190-222 (33 Seiten)Infoseite zur Zeitschrift
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ZusatzinformationWeitere Informationen
Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN1076-9986
DOI10.3102/1076998615574771
SchlagwörterBayesian Statistics; Computation; Teacher Evaluation; Teacher Effectiveness; Achievement Gains; Academic Achievement; Comparative Analysis; Teacher Placement; Measurement Techniques
AbstractEmpirical Bayes's (EB) estimation has become a popular procedure used to calculate teacher value added, often as a way to make imprecise estimates more reliable. In this article, we review the theory of EB estimation and use simulated and real student achievement data to study the ability of EB estimators to properly rank teachers. We compare the performance of EB estimators with that of other widely used value-added estimators under different teacher assignment scenarios. We find that, although EB estimators generally perform well under random assignment (RA) of teachers to classrooms, their performance suffers under nonrandom teacher assignment. Under non-RA, estimators that explicitly (if imperfectly) control for the teacher assignment mechanism perform the best out of all the estimators we examine. We also find that shrinking the estimates, as in EB estimation, does not itself substantially boost performance. (As Provided).
AnmerkungenSAGE 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 vonERIC (Education Resources Information Center), Washington, DC
Update2022/4/11
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