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Edward J. Kim – Annenberg Institute for School Reform at Brown University, 2022
This study introduces the signal weighted teacher value-added model (SW VAM), a value-added model that weights student-level observations based on each student's capacity to signal their assigned teacher's quality. Specifically, the model leverages the repeated appearance of a given student to estimate student reliability and sensitivity…
Descriptors: Value Added Models, Student Evaluation, Reliability, Simulation
Liu, Jing – Thomas B. Fordham Institute, 2022
Because the pandemic exacerbated chronic absenteeism in many parts of the country, the need to understand how schools can improve student attendance has never been greater. Accordingly, this study breaks new ground by examining high schools' contributions to attendance after accounting for individual students' prior absenteeism and other…
Descriptors: Attendance, Evaluation Methods, Pandemics, COVID-19
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Gershenson, Seth; Hayes, Michael S. – Educational Policy, 2018
School districts across the United States increasingly use value-added models (VAMs) to evaluate teachers. In practice, VAMs typically rely on lagged test scores from the previous academic year, which necessarily conflate summer with school-year learning and potentially bias estimates of teacher effectiveness. We investigate the practical…
Descriptors: Value Added Models, Teacher Effectiveness, Scores, Comparative Analysis
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Bitler, Marianne; Corcoran, Sean P.; Domina, Thurston; Penner, Emily K. – Journal of Research on Educational Effectiveness, 2021
We apply "value-added" models to estimate the effects of teachers on an outcome they cannot plausibly affect: student height. When fitting the relatively simple models that are widely used in educational practice to New York City data, we find the standard deviation of teacher effects on height is nearly as large as that for math and…
Descriptors: High Stakes Tests, Value Added Models, Teacher Influence, Teacher Effectiveness
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Atteberry, Allison; Mangan, Daniel – Educational Researcher, 2020
Papay (2011) noticed that teacher value-added measures (VAMs) from a statistical model using the most common pre/post testing timeframe--current-year spring relative to previous spring (SS)--are essentially unrelated to those same teachers' VAMs when instead using next-fall relative to current-fall (FF). This is concerning since this choice--made…
Descriptors: Correlation, Value Added Models, Pretests Posttests, Decision Making
Marianne Bitler; Sean Corcoran; Thurston Domina; Emily Penner – Annenberg Institute for School Reform at Brown University, 2019
Estimates of teacher "value-added" suggest teachers vary substantially in their ability to promote student learning. Prompted by this finding, many states and school districts have adopted value-added measures as indicators of teacher job performance. In this paper, we conduct a new test of the validity of value-added models. Using…
Descriptors: High Stakes Tests, Value Added Models, Teacher Influence, Teacher Effectiveness
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Marianne P. Bitler; Sean P. Corcoran; Thurston Domina; Emily K. Penner – Society for Research on Educational Effectiveness, 2014
The growing availability of data linking students to classroom teachers has made it possible to estimate the contribution teachers make to student achievement. While there is a growing consensus that teacher quality is important and current evaluation systems are inadequate, many have expressed concerns over the use of value-added measures (VAMs)…
Descriptors: High Stakes Tests, Value Added Models, Teacher Influence, Teacher Effectiveness