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Goldhaber, Dan; Theobald, Roddy – National Center for Analysis of Longitudinal Data in Education Research, 2010
Over 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…
Descriptors: Teacher Effectiveness, Job Layoff, Teacher Competencies, Predictor Variables