Generalizations about Using Value-Added Measures of Teacher Quality
Abstract
The extensive investigation of the contribution of teachers to student achievement produces two generally accepted results. First, there is sub stantial variation in teacher quality as measured by the value added to achievement or future aca demic attainment or earnings. Second, variables often used to determine entry into the profession and salaries, including post-graduate schooling, experience, and licensing examination scores, appear to explain little of the variation in teacher quality so measured, with the exception of early experience. Together these findings underscore explicitly that observed teacher characteristics do not represent teacher quality.
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The 0.06σ average treatment effect is roughly one-third of a standard deviation in teacher performance, which is typically estimated at 0.15-0.20σ in math and somewhat smaller in reading.
“Gains of 0.06σ represent roughly one-third of a standard deviation in teacher performance, which is typically estimated at 0.15-0.20σ in math and somewhat smaller in reading (Hanushek and Rivkin 2010, Jackson, Staiger, and Rockoff 2014).”
From Learning Job Skills from Colleagues at Work: Evidence from a Field Experiment Using Teacher Performance Data (2020) · cites this paper as Hanushek and Rivkin 2010
The estimated within-school teacher effects are similar to those from other studies using large administrative datasets.
“Notably, these findings are similar to those from other studies that also estimate within-school teacher effects in large administrative datasets (Hanushek & Rivkin, 2010).”
From Teacher and Teaching Effects on Students’ Attitudes and Behaviors (2017) · cites this paper as Hanushek & Rivkin, 2010
A 1 SD difference in the distribution of teacher effectiveness represents approximately a 0.18 SD difference in student test scores (Table 1, column 1).
“Consistent with prior estimates (e.g., Hanushek & Rivkin, 2010), we find that a 1 SD difference in the distribution of teacher effectiveness represents approximately a 0.18 SD difference in student test scores (see Table 1, column 1).”
From Can Professional Environments in Schools Promote Teacher Development? Explaining Heterogeneity in Returns to Teaching Experience (2014) · cites this paper as Hanushek & Rivkin, 2010
It is much harder for teachers to improve students' achievement in English than in math.
“Hence, the returns to better performance in English are especially large, although it is much harder for teachers to improve students' achievement in English (e.g., Hanushek and Rivkin 2010; Kane et al. 2013).”
From Measuring the Impacts of Teachers II: Teacher Value-Added and Student Outcomes in Adulthood (2014) · cites this paper as Hanushek and Rivkin 2010
Cites
Teachers, Schools, and Academic Achievement
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Rockoff, J. E., Staiger, D. O., Kane, T. J., & Taylor, E. S. (2012) · American Economic Review · doi:10.1257/aer.102.7.3184 · Cited by 138 · see citing works
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Measuring the Impacts of Teachers II: Teacher Value-Added and Student Outcomes in Adulthood
Chetty, R., Friedman, J. N., & Rockoff, J. E. (2014) · American Economic Review · doi:10.1257/aer.104.9.2633 · Cited by 1,717 · see citing works
Interpreting effect sizes of education interventions
Kraft, M. A. (2020) · Educational Researcher · doi:10.3102/0013189x20912798 · Cited by 1,281 · see citing works
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Blazar, D., & Kraft, M. A. (2017) · Educational Evaluation and Policy Analysis · doi:10.3102/0162373716670260 · Cited by 591 · see citing works
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Jackson, C. K., Rockoff, J. E., & Staiger, D. O. (2014) · Annual Review of Economics · doi:10.1146/annurev-economics-080213-040845 · Cited by 300 · see citing works
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Aucejo, E. M., & Romano, T. F. (2016) · Economics of Education Review · doi:10.1016/j.econedurev.2016.08.007 · Cited by 222 · see citing works
Are Student Absences Worth the Worry in U.S. Primary Schools?
Gershenson, S., Jacknowitz, A., & Brannegan, A. (2017) · Education Finance and Policy · doi:10.1162/edfp_a_00207 · Cited by 218 · see citing works
Dynamic effects of teacher turnover on the quality of instruction
Hanushek, E. A., Rivkin, S. G., & Schiman, J. C. (2016) · Economics of Education Review · doi:10.1016/j.econedurev.2016.08.004 · Cited by 200 · see citing works
Self-citationEricsson, K. A. (2014) · Intelligence · doi:10.1016/j.intell.2013.12.001 · Cited by 178 · see citing works
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Teacher Evaluation Policy and Conflicting Theories of Motivation
Firestone, W. A. (2014) · Educational Researcher · doi:10.3102/0013189x14521864 · Cited by 159 · see citing works
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Papay, J., Taylor, E., Tyler, J., & Laski, M. (2016) · doi:10.3386/w21986 · Cited by 148
Information and Employee Evaluation: Evidence from a Randomized Intervention in Public Schools
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Teaching to support students with diverse academic needs
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Making Inferences About Teacher Observation Scores Over Time
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- Authors
- Hanushek, E. A., & Rivkin, S. G.
- Affiliations
- Hoover Institution (US)
- Amherst College (US)
- Venue
- American Economic Review
- Publisher
- American Economic Association
- Published
- 2010-05-01
- Volume
- 100
- Issue
- 2
- Pages
- 267-271
- ISSN
- 0002-8282 (ISSN-L)
- OpenAlex
- W2061572779
- Cited by
- 793
- References
- 3
- Citations by year
- 2026: 32 · 2025: 51 · 2024: 33 · 2023: 50 · 2022: 46 · 2021: 48 · 2020: 53 · 2019: 63 · 2018: 52 · 2017: 49 · 2016: 66 · 2015: 60 · 2014: 64 · 2013: 61 · 2012: 26
- FWCI
- 182.77
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- American Economic Review (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Social Sciences › Education › School Choice and Performance
- Social Sciences › Education › Teacher Education and Assessments
- Social Sciences › Education › Teacher Professional Development and Motivation
- Keywords
- teacher quality, value-added measures, academic performance, teacher salaries, teacher experiences, teacher characteristics, teacher selection
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