Empirical Bayes shrinkage for teacher value-added estimates¶
Research Method · All research methods
Evidence · 4 claims (2 for, 2 mixed) · 2 studies (2 associational),q2· 0 of 2 report an effect size · 4 claims rest on one study
Description¶
Empirical Bayes shrinkage is described as "an approach commonly used in implementing teacher accountability systems" that adjusts value-added estimates. The paper studies how it affects estimates for teachers of students with hard-to-predict achievement levels, finding it increases precision and reduces absolute estimate values without significantly changing extreme-rating probabilities.
Accounts¶
- Empirical Bayes shrinkage as implemented in teacher value-added accountability systems: Empirical Bayes shrinkage is described as "an approach commonly used in implementing teacher accountability systems" that adjusts value-added estimates. The paper studies how it affects estimates for teachers of students with hard-to-predict achievement levels, finding it increases precision and reduces absolute estimate values without significantly changing extreme-rating probabilities. (Herrmann et al. (2013))
Claims¶
- Stabilization makes larger adjustments to scores from smaller student groups and to more extreme scores, as expected [+W]
- Empirical Bayes shrinkage increases the precision of value-added estimates and reduces their absolute value for teachers of hard-to-predict students [+W]
- Teachers of students with hard-to-predict achievement levels tend to have less precise value-added estimates than teachers of other students [~W]
- Shrinkage has no statistically significant effect on the relative probability that teachers of hard-to-predict students receive extreme value-added ratings [~W]
Related Research Methods¶
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Key Sources¶
- Herrmann, M., Walsh, E., Isenberg, E., & Resch, A. (2013). Shrinkage of Value-Added Estimates and Characteristics of Students with Hard-to-Predict Achievement Levels. Cambridge, MA: Mathematica Policy Research. https://www.mathematica.org/publications/shrinkage-of-valueadded-estimates-and-characteristics-of-students-with-hardtopredict-achievement-levels
Page metadata
| Field | Value |
|---|---|
type |
research-method |
id |
empirical-bayes-shrinkage-for-teacher-value-added-estimates |
title |
Empirical Bayes shrinkage for teacher value-added estimates |
description |
Empirical Bayes shrinkage is described as "an approach commonly used in implementing teacher accountability systems" that adjusts value-added estimates. |
status |
review |
moved_from |
element/empirical-bayes-shrinkage-teacher-accountability |
generated |
by process:sweep-kinds on 2026-10-10 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — herrmann-2013 |
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