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Measuring the Impacts of Teachers I: Evaluating Bias in Teacher Value-Added Estimates
by
Friedman, John N.
, Rockoff, Jonah E.
, Chetty, Raj
in
1988-2009
/ Academic achievement
/ Achievement tests
/ Bias
/ Classroom observations
/ Estimates
/ Estimation bias
/ Estimation methods
/ Forecasting models
/ Learning outcomes
/ Mathematics teachers
/ Means tests
/ Parents
/ Quasi-experimental methods
/ Research design
/ School districts
/ Scores
/ Student teacher relationship
/ Students
/ Teacher effectiveness
/ Teacher evaluations
/ Teachers
/ Teaching
/ Test bias
/ Test scores
2014
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Measuring the Impacts of Teachers I: Evaluating Bias in Teacher Value-Added Estimates
by
Friedman, John N.
, Rockoff, Jonah E.
, Chetty, Raj
in
1988-2009
/ Academic achievement
/ Achievement tests
/ Bias
/ Classroom observations
/ Estimates
/ Estimation bias
/ Estimation methods
/ Forecasting models
/ Learning outcomes
/ Mathematics teachers
/ Means tests
/ Parents
/ Quasi-experimental methods
/ Research design
/ School districts
/ Scores
/ Student teacher relationship
/ Students
/ Teacher effectiveness
/ Teacher evaluations
/ Teachers
/ Teaching
/ Test bias
/ Test scores
2014
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Do you wish to request the book?
Measuring the Impacts of Teachers I: Evaluating Bias in Teacher Value-Added Estimates
by
Friedman, John N.
, Rockoff, Jonah E.
, Chetty, Raj
in
1988-2009
/ Academic achievement
/ Achievement tests
/ Bias
/ Classroom observations
/ Estimates
/ Estimation bias
/ Estimation methods
/ Forecasting models
/ Learning outcomes
/ Mathematics teachers
/ Means tests
/ Parents
/ Quasi-experimental methods
/ Research design
/ School districts
/ Scores
/ Student teacher relationship
/ Students
/ Teacher effectiveness
/ Teacher evaluations
/ Teachers
/ Teaching
/ Test bias
/ Test scores
2014
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Measuring the Impacts of Teachers I: Evaluating Bias in Teacher Value-Added Estimates
Journal Article
Measuring the Impacts of Teachers I: Evaluating Bias in Teacher Value-Added Estimates
2014
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Overview
Are teachers' impacts on students' test scores (value-added) a good measure of their quality? One reason this question has sparked debate is disagreement about whether value-added (VA) measures provide unbiased estimates of teachers' causal impacts on student achievement. We test for bias in VA using previously unobserved parent characteristics and a quasi-experimental design based on changes in teaching staff. Using school district and tax records for more than one million children, we find that VA models which control for a student's prior test scores provide unbiased forecasts of teachers' impacts on student achievement.
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