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来源类型Working Paper
规范类型报告
DOI10.3386/w23478
来源IDWorking Paper 23478
An Evaluation of Bias in Three Measures of Teacher Quality: Value-Added, Classroom Observations, and Student Surveys
Andrew Bacher-Hicks; Mark J. Chin; Thomas J. Kane; Douglas O. Staiger
发表日期2017-06-05
出版年2017
语种英语
摘要There are three primary measures of teaching performance: student test-based measures (i.e., value added), classroom observations, and student surveys. Although all three types of measures could be biased by unmeasured traits of the students in teachers’ classrooms, prior research has largely focused on the validity of value-added measures. We conduct an experiment involving 66 mathematics teachers in four school districts and test the validity of all three types of measures. Specifically, we test whether a teacher’s performance on each measure under naturally occurring (i.e., non-experimental) settings predicts performance following random assignment of that teacher to a class of students. Combining our results with those from two previous experiments, we provide further evidence that value-added measures are unbiased predictors of teacher performance. In addition, we provide the first evidence that classroom observation scores are unbiased predictors of teacher performance on a rubric measuring the quality of mathematics instruction. Unfortunately, we lack the statistical power to reach any similar conclusions regarding the predictive validity of a teacher’s student survey responses.
主题Health, Education, and Welfare ; Education ; Labor Economics ; Labor Supply and Demand
URLhttps://www.nber.org/papers/w23478
来源智库National Bureau of Economic Research (United States)
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资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/581152
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Andrew Bacher-Hicks,Mark J. Chin,Thomas J. Kane,et al. An Evaluation of Bias in Three Measures of Teacher Quality: Value-Added, Classroom Observations, and Student Surveys. 2017.
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