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Autor/inn/enGoldhaber, Dan; Theobald, Roddy
InstitutionUrban Institute, National Center for Analysis of Longitudinal Data in Education Research (CALDER)
TitelAssessing the Determinants and Implications of Teacher Layoffs. Working Paper 55
Quelle(2010), (56 Seiten)
PDF als Volltext kostenfreie Datei Verfügbarkeit 
Spracheenglisch
Dokumenttypgedruckt; online; Monographie
SchlagwörterTeacher Effectiveness; Job Layoff; Teacher Competencies; Predictor Variables; Personnel Policy; Tenure; Credentials; Maximum Likelihood Statistics; Teacher Evaluation; Personnel Management; Data Analysis; Statistical Data; Simulation; Critical Incidents Method; Washington
AbstractOver 2000 teachers in the state of Washington received reduction-in-force (RIF) notices in the past two years. The authors link data on these RIF notices to a unique dataset that includes student, teacher, school, and district variables to determine the factors that predict the likelihood of a teacher receiving a RIF notice. They find a teacher's seniority is the greatest predictor, but (all else equal) teachers with a master's degree and teachers credentialed in the "high-needs areas" of math, science, and special education were less likely to receive a RIF notice. Value-added measures of teacher effectiveness can be calculated for a subset of the teachers and these show no relationship between effectiveness and the likelihood of receiving a RIF notice. Finally, simulations suggest that a very different group of teachers would be targeted for layoffs under an effectiveness-based layoff scenario than under the seniority-driven system that exists today. (Contains 3 figures, 7 tables and 68 footnotes.) (As Provided).
AnmerkungenNational Center for Analysis of Longitudinal Data in Education Research. The Urban Institute, 2100 M Street NW, Washington, DC 20037. Tel: 202-261-5739; Fax: 202-833-2477; e-mail: inquiry@caldercenter.org; Web site: http://www.caldercenter.org
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2017/4/10
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