Learning Job Skills from Colleagues at Work: Evidence from a Field Experiment Using Teacher Performance Data
Open accessAbstract
We study a program designed to encourage learning from coworkers among school teachers. In an experiment, we document gains in job performance when high- and low-skilled teachers are paired and asked to work together on improving their skills. Pairs are matched on specific skills measured in prior evaluations. Each pair includes a target teacher who scores low in one or more of 19 skills and a partner who scores high in (many of) the target’s deficient skills. Student achievement improved 0.12 standard deviations in low-skilled teachers’ classrooms. Improvements are likely the result of target teachers learning skills from their partner. (JEL I21, J24, J45, M53)
AI snapshot
Written from the paper’s full text.
TL;DR
A randomized field experiment in Tennessee paired low-performing teachers with high-performing colleagues and encouraged them to work together on specific instructional skills. The intervention raised student achievement, especially in target teachers’ classrooms, and the pattern of results points toward peer skill learning rather than effort or resource-sharing.
Key findings
- Students in treatment schools scored about 0.06σ higher overall in math and reading/language arts than control-school students (p = 0.08 with covariates); math gains were 0.07σ (p = 0.040) and reading/language arts gains were 0.05σ (p = 0.072).
- Effects were concentrated among low-performing “target” teachers: their students gained 0.12σ, while partner and no-role teacher estimates were smaller and not statistically significant. With 61% target-role participation, the implied treatment-on-treated effect was about 0.20σ.
- One year later, the target-teacher effect was 0.25σ and marginally significant (p = 0.068); Lee bounds for target teachers were 0.21σ to 0.34σ.
- Mechanism tests favored skill learning: effects were larger when partners’ strengths matched targets’ weaknesses, and target teachers improved 0.27 teacher SD in matched observation skills. Tests for motivation/effort and shared resources/tasks did not support those mechanisms.
Methods
- Design: 14 elementary and middle schools in a medium-sized Tennessee district were blocked into seven pairs and randomly assigned to treatment or control (7 treatment, 7 control). In treatment schools, low-performing target teachers were matched to high-performing partners using prior evaluation micro-data across 19 instructional skill areas; principals encouraged pairs to observe, discuss, and follow up on improvement.
- Data/sample: about 3,000 students in grades 4–8 and 136 math/reading teachers during 2013–14; outcomes came from state standardized tests and teacher evaluation observation scores, with administrative records on student demographics, teacher experience, and prior value-added.
- Analysis: school-level intent-to-treat regressions with randomization-block fixed effects and covariates; role-specific treatment interactions; mechanism tests using pair characteristics; wild cluster bootstrap-t inference because there were only 14 school clusters; Lee bounds for year-two attrition.
Limitations
- The paper states that its mechanism tests are partial, that the three mechanisms are not mutually exclusive, and that it cannot rule out any mechanism; it especially cannot test all predictions for the effort/motivation hypothesis.
- The paper notes that classroom observations were often conducted by principals who knew about the program, so observation-score results could be affected by differential scoring; it also notes lower survey response rates in treatment schools (about 45% vs. 66%), making attitude results cautious.
- The paper states that year-two repeat-target estimates are endogenous, that the year-two sample fell to 96 of 136 teachers, and that control schools may have adopted similar pairing practices, which would bias effects downward. Evident from the text: the study is a single-district encouragement design with only 14 school clusters and principal discretion over participation and matching.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
13 of 38 cited sources checked · 7 supported · 1 flagged · accuracy not yet measured
- Interpretationcitation
The 0.12 standard deviation gain is at least as large as the gap in performance between a novice and a teacher with five to ten years of experience.
“A gain of 0.12σ is also at least as large as the difference in performance between a novice teacher and a 5 to 10 year veteran (Rockoff 2004, Papay and Kraft 2015).”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites Rockoff 2004 source
Rockoff reports that beginning teachers and teachers with ten years of experience differ by about 0.20 standard deviations in reading scores (Introduction, p. 3; Empirical Results, p. 15). At the ten-year end of the claimed range, that gap is larger than 0.12, not no larger than it. (LLM, conf=0.86)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measured - cites Papay and Kraft 2015 source
- Interpretationcitation
Average treatment effects are about one-quarter as large as the estimated benefit of a 30 percent reduction in elementary class size, or of doubling middle and high school math class time.
“Additionally, these average treatment effects are also roughly one-quarter the estimated gain from reducing class size by 30 percent in elementary grades (Kruger 1999), or the estimated gain from doubling the amount of class time middle and high school students spend in math (Taylor 2014, Cortes, Goodman, and Nomi 2015).”
Quote in the paperNot a substantial claim1 of 3 sources checked - Premisecitation
Experience on the job is a consistent source of differences in teacher performance.
“One seemingly consistent source of differences in teacher performance is experience on the job (Rockoff 2004, Harris and Sass 2011, Papay and Kraft 2015).”
Quote in the paperNot a substantial claim1 of 3 sources checked- cites Rockoff 2004 source
The Introduction (p. 3) and Empirical Results (p. 15) report that teaching experience significantly improves reading test scores. But the Empirical Results (p. 16) find little evidence of gains in math, so this paper does not establish experience as a consistent source of performance differences across subjects. (LLM, conf=0.86)
Experimental — accuracy not yet measured - cites Harris and Sass 2011 source
- cites Papay and Kraft 2015 source
- Premisecitation
Estimated differences due to experience are much larger than differences in formal pre-service or in-service training.
“Estimated differences due to experience are much larger than differences in formal pre-service or in-service training (Jackson, Rockoff, and Staiger 2014).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Jackson, Rockoff, and Staiger 2014 source
In “Can Teacher Characteristics Explain Teacher Effects?” (page not available), the review says teacher effectiveness improves with experience while education and certification explain little variation. But “Mentoring and Feedback” (page not available) reports mixed findings for in-service training, including substantial gains from an intensive program. The paper does not establish that estimated experience differences are much larger than those from both pre-service and in-service training. (LLM, conf=0.82)
Experimental — accuracy not yet measured
- Premisecitation
There is substantial variability in teacher job performance, measured in the short run by students' test scores and in the long run by students' economic and social success as adults.
“And there is substantial variability in teacher job performance: measured both in the short-run with students' test scores (see Jackson, Rockoff, and Staiger 2014 for a review) and the long-run with students' economic and social success years later as adults (Chetty, Friedman, and Rockoff 2014).”
Quote in the paperSubstantial claim2 of 2 sources checked
- Interpretationown data
Peer learning may substantially contribute to the commonly cited returns to teaching experience.
“The magnitude of those improvements suggests peer learning may be as important as on-the-job experience in teacher skill development (Rockoff 2004, Papay and Kraft forthcoming); indeed, peer learning may be a key contributor to the oft-cited estimates of returns to experience in teaching.”
Quote in the paperSubstantial claim1 of 2 sources checked- cites Rockoff 2004 source
The Empirical Results (p. 15) report gains in reading scores associated with teaching experience, supporting the reference to returns to experience. The paper does not identify peer learning as a contributor to those gains, so it does not support the proposed mechanism. (LLM, conf=0.85)
Experimental — accuracy not yet measured - cites Papay and Kraft forthcoming
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationown data
The magnitude of the improvements suggests peer learning may be as important as on-the-job experience in teacher skill development.
“The magnitude of those improvements suggests peer learning may be as important as on-the-job experience in teacher skill development (Rockoff 2004, Papay and Kraft forthcoming); indeed, peer learning may be a key contributor to the oft-cited estimates of returns to experience in teaching.”
Quote in the paperSubstantial claim1 of 2 sources checked- cites Rockoff 2004 source
- cites Papay and Kraft forthcoming
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
Student test scores capture important variation in teacher performance.
“Nevertheless, existing empirical evidence suggests student test scores capture important variation in teacher performance (Jackson, Staiger, and Rockoff 2014 provide a review of the literature).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Jackson, Staiger, and Rockoff 2014 source
- Premisecitation
Evidence that graduate degrees substantially improve teacher effectiveness is limited.
“There is limited evidence that such degrees significantly improve teacher effectiveness (Jackson, Rockoff, and Staiger 2014).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Jackson, Rockoff, and Staiger 2014 source
- Premisecitation
Despite large resource commitments, empirical evidence indicates little effect of professional development on teacher performance.
“Despite the substantial commitment of resources, the empirical evidence suggests little effect on teacher performance (see reviews by Jackson, Rockoff, and Staiger 2014, and Yoon et al. 2007).”
Quote in the paperSubstantial claim1 of 2 sources checked- cites Jackson, Rockoff, and Staiger 2014 source
In “Mentoring and Feedback” (page unavailable), the review reports no statistically significant effect from one low-intensity training program and describes many evaluation programs as ineffective. But it also reports gains from high-intensity professional development and an effective evaluation model. The cited paper therefore supports limited effects for some programs, not a general finding of little effect despite substantial resource commitments. (LLM, conf=0.83)
Experimental — accuracy not yet measured - cites Yoon et al. 2007
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Findingown data
The estimated average treatment effect on reading/language arts alone was 0.05σ (p=0.072).
“The estimated average treatment effect is somewhat larger when we focus on math achievement alone (0.07σ; 𝑝 = 0.040) and somewhat smaller for reading and language arts alone (0.05σ; 𝑝 = 0.072).”
Quote in the paperNot a substantial claim - Findingown data
The estimated average treatment effect on math achievement alone was 0.07σ (p=0.040).
“The estimated average treatment effect is somewhat larger when we focus on math achievement alone (0.07σ; 𝑝 = 0.040) and somewhat smaller for reading and language arts alone (0.05σ; 𝑝 = 0.072).”
Quote in the paperNot a substantial claim - Findingown data
There was substantial variation between and within teachers at the 19-skill micro-data level.
“Critically for this study, however, there was substantial variation between and within teachers at the 19-skill micro-data level”
Quote in the paperSubstantial claim - Findingown data
Student achievement gains are greater when the high-performing teacher is better matched to teach new skills to the low-performing partner.
“Student achievement gains are larger in pairs where the high-performing teacher is better suited to teach new skills to her low-performing partner.”
Quote in the paperSubstantial claim - Findingown data
Performance gains are larger in skill areas where the high-performing teacher is better suited to teach new skills to the low-performing partner.
“In summary, performance gains are larger in skill areas where the high-performing teacher is better suited to teach new skills to her low-performing partner.”
Quote in the paperSubstantial claim - Findingown data
The study similarly finds performance improvements persisting, and perhaps growing, in the year after treatment.
“We similarly find that performance improvements persist, perhaps grow, in the year following treatment.”
Quote in the paperSubstantial claim - Findingown data
Partner-teacher estimates resemble those for teachers with no assigned role in the program.
“Indeed the estimates for partner teachers are quite similar to the estimates for teachers who were not assigned a role in the program.”
Quote in the paperNot a substantial claim - Findingown data
Lee bounds for the average treatment effect in year two are 0.05 and 0.14 standard deviations.
“Bounds for the average treatment effect are 0.05σ and 0.14σ.”
Quote in the paperSubstantial claim - Findingown data
In weak skill areas without a partner-strength match, target teachers improved much less, if at all.
“But, by contrast, target teachers improved much less, if at all, in weak skill areas where there was no match with a partner strength.”
Quote in the paperSubstantial claim - Findingown data
In matched skill areas, target teachers improved by 0.27 teacher standard deviations.
“In matched skills target teachers improved 0.27 teacher standard deviations.”
Quote in the paperSubstantial claim - Findingown data
Of treatment teachers assigned to the target role, 61 percent participated in the program in that role.
“Among treatment teachers assigned by the research team to the target role, 61 percent participated in the program in the target role”
Quote in the paperSubstantial claim - Findingown data
For target teachers, the intervention produced test-score gains of 0.12 standard deviations, pooling math and reading, relative to control teachers who would have been targets.
“treatment leads to test-score gains of 0.12σ in target teachers' classrooms (compared to students of teachers who would have been target teachers in control schools, pooling math and reading).”
Quote in the paperSubstantial claim - Findingown data
Treatment effects seem concentrated among target teachers who were better matched with partners having relevant skills to share.
“In fact, the treatment effects appear concentrated among target teachers who were better matched to partners with relevant skills to share.”
Quote in the paperSubstantial claim - Findingown data
Target teachers' gains are concentrated in skills where the target's weaknesses matched the partner's strengths.
“Consistent with the skill growth mechanism, notably, target teachers' improvements are concentrated in skills where there was a match-a match between the target's weak skills and her partner's strong skills.”
Quote in the paperSubstantial claim - Findingown data
The largest treatment effects are observed for low-performing target teachers.
“Treatment effects are largest for low-performing target teachers.”
Quote in the paperNot a substantial claim - Findingown data
For low-performing target teachers in year two, the bounds are 0.21 and 0.34 standard deviations, with p-values of 0.052 and 0.040.
“Bounds for the effect among low-performing teacher teachers are 0.21σ and 0.34σ (with p-values of 0.052 and 0.040 respectively).”
Quote in the paperSubstantial claim - Findingown data
The pattern for the difference in value-added scores closely resembles that for the difference in observation scores.
“The pattern for difference in value added is quite similar to the pattern for difference in observation scores.”
Quote in the paperNot a substantial claim - Findingown data
The first factor accounts for almost all variation in the four survey responses.
“The first factor explains nearly 100 percent of the variation in responses to these four questions.”
Quote in the paperNot a substantial claim - Findingown data
For high-performing partner teachers, the treatment effect on student test scores is not statistically significant.
“Treatment * high-performing partner | 0.029 | 0.030 | 0.029 | 0.030 | 0.029 | 0.029 | 0.031 | 0.029 | 0.030 | 0.028 | 0.027”
Quote in the paperNot a substantial claim - Findingown data
The study finds no evidence that higher-performing partners performed worse.
“However, we do not find evidence of reduced performance among the higher-performing partners.”
Quote in the paperSubstantial claim - Findingreasoning
When converted to student standard deviations, the differences are about one-tenth to one-fifth as large as those in Tables 2 and A1.
“In student standard deviations the differences are roughly one-tenth to one-fifth the magnitudes in Tables2 and A1.”
Quote in the paperNot a substantial claim - Findingown data
One year after treatment, teachers in treatment schools were 8.9 percentage points more likely to have left teaching in Tennessee.
“All teachers 0.084 0.067 0.089 0.036 [0.184] [0.384] [0.012] [0.556]”
Quote in the paperNot a substantial claim - Findingown data
At the end, treatment-school teachers had more favorable evaluation attitudes, scoring 0.23 standard deviations higher on a four-question composite.
“Judging from survey responses, teachers in treatment schools left with more favorable opinions of evaluation: attitudes about evaluation were 0.23 standard deviations more positive, as measured by a composite of the four survey questions.”
Quote in the paperNot a substantial claim - Premisecitation
Empirical evidence of learning from coworkers is scarce.
“Yet, despite the intuitive role for coworkers in human capital development, empirical evidence of learning from coworkers is scarce.2”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [2] 2. Azoulay, P., Zivin, J. S., & Wang, J. (2010). Superstar Extinction. Quarterly Journal of Economics, 125(2), 549-589. source
- Interpretationreasoning
The 0.12σ gain is roughly equivalent to the difference between being assigned to a median teacher instead of a bottom quartile teacher.
“In other words, a gain of 0.12σ is roughly equivalent to the difference between being assigned to a median teacher instead of a bottom quartile teacher.”
Quote in the paperNot a substantial claim - Interpretationown data
The available data suggest that target teachers learned new skills from their partner.
“In short, the available data suggest target teachers learned new skills from their partner.”
Quote in the paperSubstantial claim - Interpretationown data
Pairing teachers to work together on improving skills improved teachers' job performance as measured by student test score growth.
“We find that treatment-pairing classroom teachers to work together on improving skills-improves teachers' job performance, as measured by their students' test score growth.”
- Also stated in: § Abstract · plain
“We report positive treatment effects on teacher productivity, as measured by contributions to student achievement growth, particularly for low-performing teachers.”
Quote in the paperSubstantial claim - Also stated in: § Abstract · plain
- Study design and conductown data
Random assignment of schools to treatment and control was successful.
“We read the results as evidence of successful randomization.”
- Also stated in: § 1.2 Sample and Random Assignment · plain
“Interpreting the results of this experiment as causal effects rests largely on the success of randomly assigning schools to treatment and control conditions.”
Quote in the paperSubstantial claim - Also stated in: § 1.2 Sample and Random Assignment · plain
- Study design and conductown data
Most pre-treatment differences between treatment and control were substantively quite small.
“Most differences are substantively quite small.”
Quote in the paperSubstantial claim - Interpretationnone given
The treatment, unlike class-size reduction or added class time, entails no substantial rise in teacher salary spending.
“However, unlike reducing class size or increasing class time, the current treatment-pairing classroom teachers to work together on improving skills-does not require any meaningful increase in teacher salary expenditures.”
Quote in the paperSubstantial claim - Premisecitation
Jackson and Bruegmann (2009) estimate that prior coworker effectiveness explains about one-fifth of the variation in teacher performance.
“The authors estimate that prior coworker effectiveness explains about one-fifth of the variation in teacher performance.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Jackson and Bruegmann (2009) source
- Interpretationreasoning
The 0.06σ difference is roughly equivalent to the difference between being assigned to a median teacher and a 63rd percentile teacher.
“Put differently, the 0.06σ difference is roughly equivalent to the difference between being assigned to a median teacher and a 63rd percentile teacher.”
Quote in the paperNot a substantial claim - Study design and conductown data
Only 2 of 20 pre-treatment characteristics showed statistically significant treatment-control differences: the proportion of English language learner students and baseline observation scores for teacher pairs.
“Only 2 of the 20 characteristics show a statistically significant difference between treatment and control means: the proportion of English language learner students, and the difference in baseline observation scores for teacher pairs.”
Quote in the paperSubstantial claim - Study design and conductreasoning
The experiment's setting and control condition exclude many first-order features of the three candidate mechanisms.
“The experimental setting and control counterfactual rule out many first-order features of these mechanisms as we highlight in the next paragraphs.”
Quote in the paperSubstantial claim - Interpretationreasoning
The evaluation context also affects the counterfactual behavior of control schools and teachers.
“The evaluation context also affects the counterfactual behavior of control schools and teachers.”
Quote in the paperSubstantial claim - Interpretationreasoning
The average differences can be interpreted as causal effects under the assumption of no baseline differences in potential outcomes.
“These average differences in student achievement can be interpreted as causal effects of treatment under the traditional experimental design assumption: At the beginning of the experiment, there was no difference in potential outcomes-student achievement growth, teacher or school performance, etc.-between treatment and control samples.”
Quote in the paperSubstantial claim- The authors state this as an assumption: At the beginning of the experiment, there was no difference in potential outcomes between treatment and control samples.
- Interpretationown data
Evidence favoring skill growth also appears when other dimensions of teacher performance are examined.
“Evidence for skill growth is also apparent when we examine other aspects of teacher performance.”
Quote in the paperSubstantial claim - Interpretationown data
These gains provide empirical support for the intuitive, long-theorized role of coworkers in human capital development.
“The gains are empirical evidence of the intuitive, longtheorized benefits of coworkers in human capital development.”
Quote in the paperSubstantial claim - Premisecitation
Taylor and Tyler (2012) find teacher performance improves by 0.05 standard deviations in a year when an outside teacher and the principal conduct classroom-observation evaluations and give feedback.
“Taylor and Tyler (2012) find that teacher performance improves 0.05σ during a school year in which a teacher from a different school and the school principal conduct classroom-observationbased evaluations and subsequently provides feedback.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Taylor and Tyler (2012) source
- Study design and conductreasoning
The control condition rules out the usual, first-order sharing of resources or tasks among teachers in a school.
“Again, the control counterfactual rules out the typical, first-order resource or task sharing among teachers within a school.”
Quote in the paperSubstantial claim - Interpretationreasoning
The 0.12 standard deviation estimate probably understates the treatment effect for teachers who actually take part in the program.
“Moreover, 0.12σ likely underestimates the effect of treatment on teachers who actually participate in the program.”
Quote in the paperNot a substantial claim - Interpretationown data
The study finds evidence consistent with low-performing target teachers learning new skills from their high-performing partners.
“To summarize the results across the three mechanism categories, first, we find evidence consistent with the hypothesis that low-performing target teachers learn new skills from their high-performing partner.”
Quote in the paperSubstantial claim - Interpretationcitation
The study's estimates align with earlier evidence of coworker learning among teachers.
“Our estimates are consistent with prior evidence of learning from coworkers among teachers.”
Quote in the paperNot a substantial claim0 of 2 sources checked - Interpretationnone given
A gain of 0.12 standard deviations is approximately the same as the difference between having a median teacher and having a bottom-quartile teacher.
“A gain of 0.12σ is roughly equivalent to the difference between being assigned to a median teacher instead of a bottom quartile teacher.”
Quote in the paperNot a substantial claim - Interpretationown data
The evidence above is largely consistent with teachers acquiring skills, not merely raising motivation or effort.
“The evidence presented above is largely consistent with teachers building skills, rather than simply increasing motivation or effort.”
Quote in the paperSubstantial claim - Interpretationreasoning
The implied treatment-on-the-treated effect for target teachers is approximately 0.20 standard deviations.
“suggesting a treatment-on-the-treated estimate of about 0.20σ (= 0.12/0.61).”
Quote in the paperSubstantial claim - Interpretationown data
The study finds no strong evidence for a shared-production mechanism.
“In short, we do not find strong evidence for a shared production mechanism.”
Quote in the paperSubstantial claim - Study design and conductown data
There is very little missing data in covariates; less than 4 percent of students are missing baseline achievement.
“As a result we have very little missing data in 𝑋 𝑖 , for example, less than 4 percent of students are missing baseline achievement.”
Quote in the paperNot a substantial claim - Study design and conductreasoning
Column 4 cannot yield causal estimates of one versus two years of treatment, since receiving treatment a second year is endogenous.
“Column 4 does not provide causal estimates of one versus two years of treatment; being treated a second year is endogenous.”
Quote in the paperNot a substantial claim - Interpretationreasoning
Any additional accountability to one's partner probably has only a small effect.
“The effect of any marginal accountability to one's partner is likely to be small.”
Quote in the paperNot a substantial claim - Interpretationown data
The available evidence suggests skill growth explains part, and perhaps much, of the average treatment effect.
“However, the available evidence suggests skill growth accounts for part of, perhaps much of, the average treatment effect.”
Quote in the paperSubstantial claim - Study design and conductcitation
The wild cluster bootstrap-t approach provides asymptotic refinement when the number of clusters is small, as with 14 clusters.
“This approach provides asymptotic refinement when the number of clusters is small, as in our setting with 14 clusters.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Cameron, Gelbach, and Miller (2008) source
- Interpretationcitation
These improvements resemble those reported by Taylor and Tyler (2012) for an evaluation-and-feedback program, particularly for initially lowest-performing teachers.
“These improvements are large but similar to the gains documented by Taylor and Tyler (2012) studying a program of evaluation and feedback, especially the gains Taylor and Tyler estimate for the exante lowest performing teachers.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Taylor and Tyler (2012) source
- Interpretationown data
Higher-performing partners might have gained from the pairings as well.
“If anything, the high-performers may have also benefited from participating in the pairings.”
Quote in the paperNot a substantial claim - Interpretationreasoning
The implied first-stage for a school-level TOT estimate is approximately 0.86.
“Thus the implied firststage for a school-level TOT estimate would be about 0.86”
Quote in the paperNot a substantial claim - Interpretationreasoning
If such contamination activities occurred, they would make the estimated average treatment effects smaller.
“Any such activities would bias downward our estimated average treatment effects.”
Quote in the paperSubstantial claim - Interpretationreasoning
For treatment schools, the main marginal cost was the time target and partner teachers spent working together.
“The primary marginal cost for treatment schools was the time that target and partner teachers allocated to working with each other.”
Quote in the paperSubstantial claim - Study design and conductnone given
Conversations with district officials indicate that control-school principals did not implement such a program.
“Our discussions with district officials, though, suggest that principals in control schools did not undertake such a program.”
Quote in the paperSubstantial claim - Interpretationown data
The experiment and findings point to practical alternatives to formal on-the-job training, particularly in professional occupations.
“The experiment and results suggest practical alternatives to formal on-the-job training, especially in professional occupations.”
Quote in the paperSubstantial claim - Study design and conductreasoning
It is not certain that control-school principals refrained from adopting the program's core idea.
“However, we discussed the idea of the program with all principals, and we cannot ensure that the kernel of the idea was not adopted by principals in the control schools.”
Quote in the paperSubstantial claim - Study design and conductnone given
Control schools were not given the list of target teachers and suggested partners.
“We can say definitively that no control school received a list of target teachers and proposed partners.”
Quote in the paperSubstantial claim - Interpretationreasoning
Peer learning may contribute importantly to the frequently cited returns to experience in teaching.
“Indeed peer learning may be a key contributor to the oft-cited estimates of returns to experience in teaching.”
Quote in the paperSubstantial claim - Interpretationreasoning
The job-performance improvements documented here suggest colleague learning is at least as valuable as formal on-the-job training or experience gains for developing teaching skills.
“The teacher job performance improvements documented in this paper suggest learning from colleagues is at least as valuable as formal on-the-job training or the gains from experience in developing teaching skills.”
Quote in the paperSubstantial claim - Interpretationreasoning
The TOT estimates would be roughly 15 percent larger than those in Table 3 Panel A.
“suggesting the TOT estimates would be about 15 percent larger than the numbers reported in Table3Panel A.”
Quote in the paperNot a substantial claim
- May combine two claims. 46
- Classified as probably not a substantial claim. 29
- The quote only partly states this claim. 4
May combine two claims.
InterpretationcitationThe 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).”
Quote in the paperSubstantial claim1 of 2 sources checked- cites Hanushek and Rivkin 2010 source
- cites Jackson, Staiger, and Rockoff 2014 source
In “What Are Teacher Effects and How Are They Measured?” (page unavailable), the review gives a typical teacher value-added standard deviation of 0.1–0.2 student-achievement standard deviations and says teacher effects vary more in math than in reading. That makes the comparison of 0.06σ to roughly one-third of a teacher-performance standard deviation plausible, but the source does not give the more specific 0.15–0.20σ range for math. (LLM, conf=0.84)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningThis context may partly explain why positive effects were found here while other research does not consistently find effects of formal mentoring or formal on-the-job training for teachers.
“This context may partly explain why we find positive effects in this case while other research dose not consistently find effects of formal mentoring or formal on-the-job training for teachers (see reviews by Jackson, Rockoff, and Staiger 2014, and Yoon et al. 2007).”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites Jackson, Rockoff, and Staiger 2014 source
- cites Yoon et al. 2007
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims. The quote only partly states this claim.
Findingown dataTreatment gains were concentrated among target teachers; in target teachers' classrooms students scored 0.12σ higher.
“The gains are concentrated among”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe improvements in teacher performance persisted, and perhaps grew, in the school year following treatment; in year two the effect for target teachers was a marginally significant 0.25σ.
“These improvements in teacher performance persist, and perhaps grow, in the school year following treatment; in year two the effect for target teachers is a marginally significant 0.25σ.”
Quote in the paperSubstantial claimMay combine two claims. The quote only partly states this claim.
Findingown dataAt the end of the school year, the average student in a treatment school scored 0.06σ higher on standardized math and reading/language arts tests than in a control school, regardless of whether the student's teacher participated in a partnership; the difference was marginally significant (p=0.08) with pre-treatment covariates.
“At the end of the school year, the average student in a treatment school scores 0.06σ (student standard deviations) higher on standardized math and reading/language arts tests than she would have in a control school, regardless of whether her teacher participated in a partnership.”
- Also stated in: § 2.1 Average Treatment Effects on Student Achievement · plain
“The difference is marginally statistically significant (𝑝 = 0.08) when we control for pre-treatment covariates.”
Quote in the paperSubstantial claim- Also stated in: § 2.1 Average Treatment Effects on Student Achievement · plain
May combine two claims.
Findingown dataFor teachers in non-matched grades and subjects, estimated treatment effects remain large, statistically significant, and about the same size as in Column 1.
“Furthermore, the estimated treatment effects for teachers in non-matched grades and subjects remains large, statistically significant, and of approximately the same magnitude as in Column 1.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe estimated average treatment effect one year after treatment is 0.11 standard deviations, with a p-value of 0.22.
“The estimated average treatment effect is also larger at 0.11σ, though the p-value is 0.22 (Column 1 Panel A).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe count of a target teacher's weak skills alone does not predict a larger treatment effect; the effect is larger only when those weak skills are matched.
“The target teacher's number of weak skills does not itself predict a larger treatment effect; the effect is larger only when weak skills are matched.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe coefficient on the proportion of skills matched is positive and statistically significant at p = 0.052.
“Consistent with peer learning, the coefficient is positive and statistically significant (𝑝 = 0.052).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataOne year after treatment, the estimated effect for low-performing target teachers is 0.25 standard deviations, marginally significant at p = 0.068.
“The estimated effect for low-performing target teachers is 0.25σ, and marginally significant (𝑝 = 0.068, Column 1 Panel B).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe reading estimates are more sensitive to inclusion of pre-treatment covariates, though equivalence cannot be rejected.
“Additionally, the reading estimates are more sensitive to the inclusion of pre-treatment covariates, though we cannot reject that the reading estimates in Column 1 and 2 are equivalent statistically.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe 0.25 standard deviation improvement applies to teachers who were targets for only one year, though it is not statistically significant.
“The 0.25σ improvement holds for teachers who were targets just one year, though it is not statistically significant.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataTeacher performance improvements continue, and may even increase, one year after treatment.
“The improvements in teacher performance persist, and perhaps grow, in the year after treatment.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataIn this setting, inference using conventional cluster-robust standard errors is quite similar.
“However, in this setting inference using conventional cluster-robust standard errors (as implemented in Stata) turns out to be quite similar.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe less parametric specification likewise shows larger performance gains when target and partner teachers are better matched on skills, and its estimates are more precise.
“This less-parametric approach also shows larger performance improvements when target and partner teachers are better matched on skills, and the estimates are more precise.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataPartner-teacher coefficients are similar in size, but estimates for both partner and no-role teachers have very wide confidence intervals.
“The coefficients for partner teachers are similar in magnitude, but estimates for both partner and norole teachers have very wide (implicit) confidence intervals.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe point estimate for the difference in prior-year classroom observation scores is small, negative, and not statistically significant.
“The point estimate is small, negative, and not statistically significant.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataTarget teachers' performance rose by 0.12 student standard deviations during the treatment year, and perhaps twice that in the following year.
“Target teachers' performance improved 0.12 student standard deviations in the year of treatment, and perhaps double that much in the following year.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataAmong high-performing partner teachers, estimated treatment effects are positive, smaller than those for targets, and not statistically significant.
“The estimates for high-performing partner teachers are positive, but much smaller and not statistically significant.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataThe coefficient on proportion skills matched is more positive than in Column 2, while the coefficient on observation scores is more negative than in Column 6.
“If anything, the coefficient on proportion skills matched is more positive than in Column 2, and the coefficient on observation scores more negative than in Column 6.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThese performance gains were larger when partnerships were better matched on strengths and weaknesses, but otherwise there is little evidence of heterogeneity.
“These performance improvements were larger when teacher partnerships were better matched on strong and weak skills, but otherwise we find little evidence of heterogeneity.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataTwo teachers were recommended for the target role in both years.
“Two teachers were recommended as target teachers in both years.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataFor target teachers with over ten years of experience, the treatment effect was 0.03 standard deviations larger, though far from statistically significant.
“If anything, the treatment effect was 0.03σ larger for target teachers with more than ten years of experience, though the result is far from statistically significant (Appendix Table A2).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataWhen the proportion of skills matched is below the median, the estimated treatment effect is positive at 0.036 standard deviations (p = 0.340), but not statistically significant and similar in magnitude to estimates for partner and no-role teachers.
“The estimated treatment effect when the proportion skills matched is below median (Column 5 Row 1) is positive (0.036σ; 𝑝 = 0.340), but not statistically significant and similar in size to the point estimates for partner and no assigned role teachers.”
Quote in the paperSubstantial claimMay combine two claims. The quote only partly states this claim.
Findingown dataFor low-performing target teachers, the treatment raised student test scores by about 0.12 standard deviations, a statistically significant effect.
“Treatment * low-performing target | 0.123 | 0.133 | 0.121 | 0.128 | 0.036 | 0.124 | 0.138 | 0.124 | 0.139 | 0.112 | 0.113”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataA subset of the 136 sampled teachers changed schools between the 2013-14 and 2014-15 school years.
“Some of the 136 teachers in the sample switched schools between 2013-14 and 2014-15.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe treatment had no statistically significant effect on leaving the same school after one or two years, or on leaving Tennessee after two years.
“All teachers 0.084 0.067 0.089 0.036 [0.184] [0.384] [0.012] [0.556]”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S1 (asserted), S3 (load-bearing), S4 (based).
Findingnone givenFor teachers with no assigned role, the treatment effect on student test scores is not statistically significant.
“Treatment * no assignment | 0.029 | 0.027 | 0.028 | 0.026 | 0.028 | 0.029 | 0.027 | 0.029 | 0.028 | 0.029 | 0.030”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe treatment school that did not participate received the match lists and materials like the other six, but decided not to proceed.
“The non-participating treatment school received the partnership match lists and program materials just as the other six schools did, but chose not to move forward.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataSix of the seven treatment schools participated in the Evaluation Partnership Program; one did not participate at all.
“Only one of the seven treatment schools did not participate at all in the Evaluation Partnership Program.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone givenStudent achievement data were not used in matching teachers or in communication with teachers about partnership goals.
“It is important to note that, while certainly used in the state's formal evaluation scores, student achievement data were not used in the matching of teachers or communication with teachers about the goals of the teacher partnerships.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationcitationThe pattern of larger effects for target teachers and persistence over time is highly suggestive of skill growth.
“Larger effects for target teachers, effects which persist over time, are highly suggestive of skill growth, but could also result if partnering increased target teachers' motivation or effort, or provided new opportunities to share resources or tasks (Jackson and Bruegmann 2009).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Jackson and Bruegmann 2009 source
Probably not a substantial claim: may not pass S1 (asserted), S3 (load-bearing), S4 (based).
Study design and conductnone givenTarget and partner roles were assigned by algorithm for both treatment and control schools prior to randomization.
“While the”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataThe performance improvements suggest teachers can learn job skills from colleagues, providing empirical evidence of the benefit of skilled coworkers in human capital development.
“The performance improvements documented in this paper suggest teachers can learn job skills from their colleagues-empirical evidence of the intuitive benefit of skilled coworkers in human capital development.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductreasoningThe reported estimates are intent-to-treat estimates based on algorithm-assigned roles.
“The estimates in the previous paragraph are intent-to-treat estimates based on algorithm-assigned roles.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataResults are robust to assigning students to the one teacher with the highest weight when students have multiple teachers.
“But our results are robust to assigning students to the one teacher with the highest weight.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationJackson and Bruegmann (2009) found that a teacher's productivity improves when a higher-performing colleague arrives at her school, and that the improvements persist after she no longer works with the same colleague.
“Jackson and Bruegmann (2009) find a teacher's productivity, as measured by contribution to her students' test score growth, improves when a new higher-performing colleague arrives at her school; then, consistent with peer learning, the improvements persist after she is no longer working with the same colleague (i.e., teaching the same grade in the same school).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Jackson and Bruegmann (2009) source
Probably not a substantial claim: may not pass S2 (checkable).
Study design and conductreasoningThe rubric language describes relatively specific skills and behaviors, not vague general assessments of teaching effectiveness.
“As the Figure 1 example suggests, the rubric language describes relatively specific skills and behaviors, not vague general assessments of teaching effectiveness.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductown dataITT estimates use only original assignments, not school-specific adjustments.
“While these adjustments aided in the practical implementation of the program, our ITT estimates use only the original assignments of teachers, not the assignments after these school-specific adjustments.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationMas and Moretti (2009) report that low-performing grocery checkout clerks raise effort when a higher-performing peer works simultaneously and can observe them, while high performers are unaffected by other high performers.
“Mas and Moretti (2009) find that low-performing grocery check-out clerks increase their work effort when a higher-performing peer works at the same time and can observe the low-performer's effort; but high-performers are not affected by other high-performers.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Mas and Moretti (2009) source
May combine two claims.
PremisecitationBoth Jackson and Bruegmann (2009) and Taylor and Tyler (2012) report that performance gains persist; in Taylor and Tyler the effects grow from 0.05 standard deviations in the peer-evaluation year to 0.10 in later years.
“Both Jackson and Bruegmann (2009) and Taylor and Tyler (2012) report that the gains in performance are sustained into the future; indeed in the latter case the effects grow from 0.05σ during the peer evaluation year to 0.10σ in the years after the peer evaluation year.”
Quote in the paperNot a substantial claim0 of 2 sources checkedMay combine two claims.
Study design and conductown dataThe reported effects are school-level intent-to-treat effects and do not use variation in assigned teacher roles or treatment take-up.
“These are school-level intent-to-treat effects, and do not use any variation in assigned teacher roles or treatment take-up.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationnone givenTarget teachers' gains do not necessarily replace gains from experience.
“However, the gains for target teachers are not necessarily substituting for experience gains.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataThe study documents meaningful job-performance improvements among treatment teachers, and the pattern of gains suggests they learned job skills from colleagues.
“We document meaningful improvements in job performance among treatment teachers, and the patterns of performance gains suggest teachers learned job skills from their colleagues.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims.
Study design and conductown dataThe assumption of no baseline differences rests largely on successful random assignment, with evidence in Table 2.
“This assumption rests largely on the success of random assignment; evidence in support of successful random assignment is presented in Table 2.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenAll estimates include randomization block fixed effects.
“All estimates in the paper include randomization block fixed effects, 𝜋 𝑏(𝑠) .”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
InterpretationreasoningThe evaluation context likely influenced principals' and teachers' willingness to participate and the nature of their participation.
“These connections to formal evaluation, and its stakes, likely influenced principals' and teachers' willingness to participate and the nature of their participation.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductown dataThe year-two sample contains 96 of the original 136 treatment and control teachers.
“The sample for Table 5 Column 1 includes 96 of the original 136 treatment and control teachers.”
Quote in the paperSubstantial claimMay combine two claims.
Study design and conductown dataThe empirical tests are partial and the three mechanisms are not mutually exclusive, so none can be ruled out.
“Our empirical tests are partial and the three mechanisms are not mutually exclusive, so we cannot rule out any of these mechanisms.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataThe relatively low-performing teachers targeted by the intervention, and ultimately their students, benefited substantially from partnering with a higher-performing colleague at their school.
“The relatively low-performing teachers targeted by our intervention-and ultimately their students-benefited substantially from partnering with a higher-performing colleague at their school.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims.
Study design and conductnone givenThe 14 schools were blocked in seven pairs based on level and enrollment, and randomly assigned one to treatment within each pair.
“We blocked the 14 schools in seven pairs based on level (elementary or middle) and student enrollment, and randomly assigned one to treatment within each pair.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataThe positive average treatment effects are educationally and economically meaningful.
“These positive average treatment effects are educationally and economically meaningful.”
Quote in the paperSubstantial claimMay combine two claims.
Study design and conductreasoningTreatment probably raised interaction with one colleague, but the composition of coworkers and usual coworker interactions did not differ between treatment and control schools.
“the treatment likely increased the degree of interaction with one coworker, but the mix of coworkers and typical coworker interactions were the same in treatment and control schools.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataColumn 4 offers evidence consistent with target teachers' job-performance gains continuing, and possibly growing, after treatment ends.
“Column 4 does provide evidence consistent with improvements in job performance for target teachers persist, perhaps grow, after treatment ends.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningThe pattern of larger math effects and smaller reading effects is consistent with typical schooling research.
“This is consistent with the typical pattern in empirical research on schooling: most general interventions affect reading achievement less than math achievement.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
InterpretationcitationPerformance growth among experienced teachers is rare in the literature, but this result aligns with Taylor and Tyler (2012).
“Performance growth for experienced teachers is rare in the literature, but this result is consistent with results in Taylor and Tyler (2012).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Taylor and Tyler (2012) source
May combine two claims.
InterpretationreasoningThe persistence of target teachers' performance gains is robust to attrition, partly perhaps because attrition was fairly balanced.
“In short, the continued performance improvement among target teachers is robust to attrition, in part, perhaps, because attrition was relatively well balanced.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationCameron and coauthors show conventional clustering can have rejection rates up to 10 percent for a nominal 0.05 test, while wild cluster bootstrap-t approaches 5 percent.
“Cameron and coauthors show that rejection rates can be as high as 10 percent for a nominally 𝛼 = 0.05 test using conventional clustering methods; using the wild cluster bootstrap-t method rejection rates approach 5 percent.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Cameron, Gelbach, and Miller (2008) source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationTaylor and Tyler (2012) found that veteran teachers evaluated by and receiving feedback from experienced high-performing teachers had productivity improvements that persisted for years after peer evaluation ended.
“Taylor and Tyler (2012) study veteran teachers who were evaluated by and received feedback from experienced, high-performing teachers; the resulting improvements in teacher productivity persisted for years after the peer evaluation ended.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Taylor and Tyler (2012) source
Classified as probably not a substantial claim. May combine two claims.
InterpretationreasoningThe links to formal evaluation probably shaped both principals' and teachers' decisions to participate and how they participated.
“These connections to formal evaluation likely influenced principals' and teachers' willingness to participate, and the nature of their participation.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisenone givenThe teacher value-added scores are expressed in teacher standard-deviation units rather than student standard-deviation units.
“Note that the teacher value-added scores are in teacher standard deviation units, not student standard deviations as is often the case.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningThe one-on-one personalized on-the-job training studied here appears much more successful and much less costly.
“By contrast, the one-on-one personalized approach to on-the-job training we study in this paper is apparently much more successful and much less costly.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). The quote only partly states this claim.
Study design and conductown dataSurvey response rates were lower in treatment schools, about 45 percent.
“survey response rates were lower in treatment schools”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisereasoningBecause principals perform observations, they possessed all information needed to form such pairs.
“Because principals conduct the observations, they had on hand all of the information necessary to conduct such pairings.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
InterpretationreasoningThe cost is low partly because the high-performing colleague supplies the teaching expertise.
“The cost is low in part because the high-performing coworker provides the teaching expertise.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
InterpretationreasoningThe opportunity cost of that time matters, though it could plausibly replace time teachers would otherwise spend in formal professional development.
“The opportunity cost of that time is important, although it could plausibly substitute for the time teachers would have spent in formal professional development courses.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Premisenone givenEvery teacher in the study, regardless of treatment or role, was covered by Tennessee's new formal evaluation system.
“All teachers in our study-treatment and control, target and partner and no role-are subject to Tennessee's new formal performance evaluation system.”
Quote in the paperSubstantial claim
The authors state this as an assumption.
At the beginning of the experiment, there was no difference in potential outcomes between treatment and control samples.
“At the beginning of the experiment, there was no difference in potential outcomes-student achievement growth, teacher or school performance, etc.-between treatment and control samples.”
The authors state this as an assumption.
Comparison of performance between paired teachers induces greater effort.
“on the assumption that the comparison of performance induces greater effort (as in Mas and Moretti 2009).”
The authors state this as an assumption.
Even without treatment, shared production activities are easier or yield higher returns when teachers teach the same grade level or subject.
“The assumption motivating this test is that, even absent the treatment, shared production activities are easier or higher-return when teachers teach the same grade-level or subject.”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Lee bounds method is assigned two different years
MinorThe discussion attributes the bounds approach to Lee (2011), while the note to the bounds table attributes it to Lee (2009).
“Columns 2 and 3 provide bounds for the treatment effect following the approach described by Lee (2011).”
“Columns 2 and 3 report lower and upper bounds on the treatment effect estimate following the approach suggested by Lee (2009).”
Lucas citation has conflicting publication years
MinorThe paper cites Lucas as a 1988 work, but the corresponding reference lists its year as 2988.
“Lucas (1988) suggests human capital spillovers, broadly speaking, could explain between-country differences in income.”
“21. Lucas, R. E. (2988). On the Mechanics of Economic Development. Journal of Monetary Economics, 22(1), 3-42.”
Cites
On the mechanics of economic development
Lucas, R. E. (1988) · Journal of Monetary Economics · doi:10.1016/0304-3932(88)90168-7 · Cited by 24,085 · see citing works
The Hungarian method for the assignment problem
Kuhn, H. W. (1955) · Naval Research Logistics Quarterly · doi:10.1002/nav.3800020109 · Cited by 13,120 · see citing works
Investment in Human Capital: A Theoretical Analysis
Becker, G. S. (1962) · Journal of Political Economy · doi:10.1086/258724 · Cited by 8,063 · see citing works
Bootstrap-Based Improvements for Inference With Clustered Errors
Cameron, A. C., Gelbach, J. B., & Miller, D. L. (2008) · Review of Economics and Statistics · doi:10.1162/rest.90.3.414 · Cited by 4,417 · see citing works
Robust Inference With Multiway Clustering
Cameron, A. C., Gelbach, J. B., & Miller, D. L. (2011) · Journal of Business & Economic Statistics · doi:10.1198/jbes.2010.07136 · Cited by 3,203 · see citing works
The Impact of Individual Teachers on Student Achievement: Evidence from Panel Data
Rockoff, J. E. (2004) · American Economic Review · doi:10.1257/0002828041302244 · Cited by 2,432 · see citing works
Does Working from Home Work? Evidence from a Chinese Experiment *
Bloom, N., Liang, J., Roberts, J., & Ying, Z. J. (2015) · The Quarterly Journal of Economics · doi:10.1093/qje/qju032 · Cited by 1,991 · see citing works
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
Enhancing Professional Practice: A Framework for Teaching
Danielson, C. (1996) · Cited by 1,576 · see citing works
Does Management Matter? Evidence from India *
Bloom, N., Eifert, B., Mahajan, A., McKenzie, D., & Roberts, J. (2013) · The Quarterly Journal of Economics · doi:10.1093/qje/qjs044 · Cited by 1,418 · see citing works
Training, Wages, and Sample Selection: Estimating Sharp Bounds on Treatment Effects
Lee, D. S. (2009) · The Review of Economic Studies · doi:10.1111/j.1467-937x.2009.00536.x · Cited by 1,416 · see citing works
Teacher training, teacher quality and student achievement
Harris, D. N., & Sass, T. R. (2011) · Journal of Public Economics · doi:10.1016/j.jpubeco.2010.11.009 · Cited by 1,348 · see citing works
Mas, A., & Moretti, E. (2009) · American Economic Review · doi:10.1257/aer.99.1.112 · Cited by 1,280 · see citing works
Kraft, M. A., Blazar, D., & Hogan, D. (2018) · Review of Educational Research · doi:10.3102/0034654318759268 · Cited by 1,202 · see citing works
Experimental Estimates of Education Production Functions
Krueger, A. B. (1999) · The Quarterly Journal of Economics · doi:10.1162/003355399556052 · Cited by 1,120 · see citing works
Workers' Education, Spillovers, and Productivity: Evidence from Plant-Level Production Functions
Moretti, E. (2004) · American Economic Review · doi:10.1257/0002828041464623 · Cited by 1,082 · see citing works
Hamilton, B. H., Nickerson, J. A., & Owan, H. (2003) · Journal of Political Economy · doi:10.1086/374182 · Cited by 984 · see citing works
Marshall, A. (1982) · Palgrave Macmillan UK eBooks · doi:10.1007/978-1-349-15213-1 · Cited by 979 · see citing works
Bootstrap-Based Improvements for Inference with Clustered ErrorsPreprint
Cameron, A. C., Gelbach, J. B., & Miller, D. L. (2007) · SSRN Electronic Journal · doi:10.2139/ssrn.956890 · Cited by 923 · see citing works
Peer Effects in Education: How Might They Work, How Big Are They and How Much Do We Know Thus Far?
Sacerdote, B. (2011) · Handbook of the economics of education · doi:10.1016/b978-0-444-53429-3.00004-1 · Cited by 875 · see citing works
Generalizations about Using Value-Added Measures of Teacher Quality
Hanushek, E. A., & Rivkin, S. G. (2010) · American Economic Review · doi:10.1257/aer.100.2.267 · Cited by 793 · see citing works
Social Preferences and the Response to Incentives: Evidence from Personnel Data
Bandiera, O., Barankay, I., & Imran Rasul, A. (2005) · The Quarterly Journal of Economics · doi:10.1093/qje/120.3.917 · Cited by 728 · see citing works
Superstar Extinction<sup>*</sup>
Azoulay, P., Zivin, J. S. G., & Wang, J. (2010) · Quarterly Journal of Economics · doi:10.1162/qjec.2010.125.2.549 · Cited by 720 · see citing works
Teaching Students and Teaching Each Other: The Importance of Peer Learning for Teachers
Jackson, C. K., & Bruegmann, E. (2009) · American Economic Journal: Applied Economics · doi:10.1257/app.1.4.85 · Cited by 509 · see citing works
Ichino, A., & Maggi, G. (2000) · The Quarterly Journal of Economics · doi:10.1162/003355300554890 · Cited by 482 · see citing works
Kraft, M. A., & Papay, J. P. (2014) · Educational Evaluation and Policy Analysis · doi:10.3102/0162373713519496 · Cited by 433 · see citing works
Self-citationNonparametric Analysis of Randomized Experiments with Missing Covariate and Outcome Data
Horowitz, J. L., & Manski, C. F. (2000) · Journal of the American Statistical Association · doi:10.1080/01621459.2000.10473902 · Cited by 429 · see citing works
The Effect of Evaluation on Teacher Performance
Taylor, E. S., & Tyler, J. H. (2012) · American Economic Review · doi:10.1257/aer.102.7.3628 · Cited by 405 · see citing works
Self-citationPapay, J. P., & Kraft, M. A. (2015) · Journal of Public Economics · doi:10.1016/j.jpubeco.2015.02.008 · Cited by 370 · see citing works
Self-citationIncentives, Selection, and Teacher Performance: Evidence from IMPACT
Dee, T. S., & Wyckoff, J. (2015) · Journal of Policy Analysis and Management · doi:10.1002/pam.21818 · Cited by 332 · see citing works
Teacher Effects and Teacher-Related Policies
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
Social Preferences and the Response to Incentives: Evidence from Personnel Data*
Bandiera, O., Barankay, I., & Rasul, I. (2005) · The Quarterly Journal of Economics · doi:10.1162/003355305774268192 · Cited by 297 · see citing works
Angrist, J. D., & Lavy, V. (2001) · Journal of Labor Economics · doi:10.1086/319564 · Cited by 281 · see citing works
Exact and asymptotically robust permutation tests
Chung, E., & Romano, J. P. (2013) · The Annals of Statistics · doi:10.1214/13-aos1090 · Cited by 239 · see citing works
Incentives, Selection, and Teacher Performance: Evidence from IMPACT
Dee, T. S., & Wyckoff, J. (2013) · National Bureau of Economic Research · doi:10.3386/w19529 · Cited by 214 · see citing works
Hamilton, B. H., Nickerson, J. A., & Owan, H. (2001) · SSRN Electronic Journal · doi:10.2139/ssrn.277309 · Cited by 210 · see citing works
Steinberg, M. P., & Donaldson, M. L. (2016) · Education Finance and Policy · doi:10.1162/edfp_a_00186 · Cited by 183 · see citing works
Kraft, M. A., & Gilmour, A. F. (2017) · Educational Researcher · doi:10.3102/0013189x17718797 · Cited by 179 · see citing works
Identifying Effective Classroom Practices Using Student Achievement Data
Kane, T. J., Taylor, E. S., Tyler, J. H., & Wooten, A. L. (2011) · The Journal of Human Resources · doi:10.1353/jhr.2011.0010 · Cited by 117 · see citing works
Self-citationMeasuring the Impacts of Teachers II: Teacher Value-Added and Student Outcomes in Adulthood
Chetty, R., Friedman, J. N., & Rockoff, J. E. (2013) · National Bureau of Economic Research · doi:10.3386/w19424 · Cited by 117 · see citing works
Human Capital Spillovers within the Workplace: Evidence for Great Britain*
Battu, H., Belfield, C., & Sloane, P. J. (2003) · Oxford Bulletin of Economics and Statistics · doi:10.1111/j.1468-0084.2003.00062.x · Cited by 113 · see citing works
Rockoff, J. E. (2008) · National Bureau of Economic Research · doi:10.3386/w13868 · Cited by 113 · see citing works
Steinberg, M. P., & Sartain, L. (2015) · Education Finance and Policy · doi:10.1162/edfp_a_00173 · Cited by 111 · see citing works
Intensive Math Instruction and Educational Attainment: Long-Run Impacts of Double-Dose Algebra
Cortes, K. E., Goodman, J., & Nomi, T. (2014) · National Bureau of Economic Research · doi:10.3386/w20211 · Cited by 97 · see citing works
Teaching Students and Teaching Each Other: The Importance of Peer Learning for Teachers
Jackson, C. K., & Bruegmann, E. (2009) · National Bureau of Economic Research · doi:10.3386/w15202 · Cited by 93 · see citing works
Intensive Math Instruction and Educational Attainment: Long-Run Impacts of Double-Dose Algebra
Cortes, K. E., Goodman, J. S., & Nomi, T. (2015) · Journal of Human Resources · doi:10.1353/jhr.2015.0004 · Cited by 91 · see citing works
A Paradox from Randomization-Based Causal Inference
Ding, P. (2017) · Statistical Science · doi:10.1214/16-sts571 · Cited by 88 · see citing works
Taylor, E. (2014) · Journal of Public Economics · doi:10.1016/j.jpubeco.2014.06.002 · Cited by 74 · see citing works
Self-citationBergman, P., & Hill, M. J. (2018) · Economics of Education Review · doi:10.1016/j.econedurev.2018.07.005 · Cited by 26 · see citing works
Frazis, H., & Loewenstein, M. A. (2007) · Foundations and Trends® in Microeconomics · doi:10.1561/0700000008 · Cited by 16 · see citing works
Bergman, P., & Hill, M. J. (2015) · SSRN Electronic Journal · doi:10.2139/ssrn.2615769 · Cited by 7 · see citing works
Ichino, A., & Maggi, G. (1999) · doi:10.3386/w7415
Flagged first, then by citations
2 of the 54 references couldn’t be matched to a known paper.
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Sorted by citations
Kraft, M. A., Blazar, D., & Hogan, D. (2018) · Review of Educational Research · doi:10.3102/0034654318759268 · Cited by 1,202 · see citing works
Damgaard, M. T., & Nielsen, H. S. (2018) · Economics of Education Review · doi:10.1016/j.econedurev.2018.03.008 · Cited by 321 · see citing works
Kraft, M. A., & Gilmour, A. F. (2016) · Educational Administration Quarterly · doi:10.1177/0013161x16653445 · Cited by 208 · see citing works
Teacher Professional Development around the World: The Gap between Evidence and Practice
Popova, A., Evans, D. K., Breeding, M. E., & Arancibia, V. (2021) · The World Bank Research Observer · doi:10.1093/wbro/lkab006 · Cited by 305 · 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
An Affinity for Learning: Teacher Identity and Powerful Professional Development
Noonan, J. (2018) · Journal of Teacher Education · doi:10.1177/0022487118788838 · Cited by 137 · see citing works
OECD (2019) · OECD reviews of school resources · doi:10.1787/b7aaf050-en · Cited by 167 · see citing works
How We Learn About Teacher Learning
Kennedy, M. M. (2019) · Review of Research in Education · doi:10.3102/0091732x19838970 · Cited by 138 · see citing works
Observational Evaluation of Teachers: Measuring More Than We Bargained for?
Campbell, S. L., & Ronfeldt, M. (2018) · American Educational Research Journal · doi:10.3102/0002831218776216 · Cited by 111 · see citing works
Human Capital and Education: The State of the Art in the Economics of EducationPreprint
BURGESS, S. M. (2016) · SSRN Electronic Journal · doi:10.2139/ssrn.2769193 · Cited by 112 · see citing works
Teacher Professional Development around the World: The Gap between Evidence and Practice
Popova, A., Evans, D. K., Arancibia, V., & Breeding, M. E. (2018) · World Bank, Washington, DC eBooks · doi:10.1596/1813-9450-8572 · Cited by 113 · see citing works
Henry, G. T., & Redding, C. (2018) · Education Finance and Policy · doi:10.1162/edfp_a_00274 · Cited by 71 · see citing works
Sun, M., Loeb, S., & Grissom, J. A. (2016) · Educational Evaluation and Policy Analysis · doi:10.3102/0162373716665698 · Cited by 63 · see citing works
Policies to support teachers’ continuing professional learning
Boeskens, L., Nusche, D., & Yurita, M. (2020) · OECD education working papers · doi:10.1787/247b7c4d-en · Cited by 85 · see citing works
BURGESS, S. M., Rawal, S., & Taylor, E. S. (2020) · Journal of Labor Economics · doi:10.1086/712997 · Cited by 57 · see citing works
Self-citationEffective like me? Does having a more productive mentor improve the productivity of mentees?
Goldhaber, D. D., Krieg, J. M., & Theobald, R. J. (2019) · Labour Economics · doi:10.1016/j.labeco.2019.101792 · Cited by 54 · see citing works
Kraft, M. A., & Christian, A. (2021) · American Educational Research Journal · doi:10.3102/00028312211024603 · Cited by 53 · see citing works
The effects of COVID-19 on teacher preparation
Choate, K., Goldhaber, D. D., & Theobald, R. J. (2021) · Phi Delta Kappan · doi:10.1177/00317217211007340 · Cited by 44 · see citing works
Can Successful Schools Replicate? Scaling Up Boston’s Charter School Sector
Cohodes, S., Setren, E. M., & Walters, C. (2021) · American Economic Journal Economic Policy · doi:10.1257/pol.20190259 · Cited by 46 · see citing works
Different Domains in Learning and the Academic Performance of the Students
Mallillin, L. L. D. (2020) · Journal of Educational System · doi:10.22259/2637-5877.0401001 · Cited by 42 · see citing works
Improving instructional practice through peer observation and feedback: A review of the literature
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Teacher leadership: Prospects and promises
Berry, B. (2019) · Phi Delta Kappan · doi:10.1177/0031721719841339 · Cited by 37 · see citing works
Evaluating Teacher Preparation Using Graduates’ Observational Ratings
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Blazar, D. (2017) · Education Finance and Policy · doi:10.1162/edfp_a_00251 · Cited by 36 · see citing works
Links Among Teacher Preparation, Retention, and Teaching Effectiveness
Ronfeldt, M. (2021) · doi:10.31094/2021/3/1 · Cited by 38 · see citing works
Rodríguez, L. A., Swain, W. A., & Springer, M. G. (2020) · American Educational Research Journal · doi:10.3102/0002831220910989 · Cited by 39 · see citing works
Harding, J. F., Connors, M. C., Friedman‐Krauss, A. H., Aikens, N. L., Malone, L. M., & Tarullo, L. B. (2019) · American Journal of Community Psychology · doi:10.1002/ajcp.12327 · Cited by 39 · see citing works
Teacher Evaluation and Teacher Turnover in Equilibrium: Evidence From DC Public Schools
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Exploring the Impact of Student Teaching Apprenticeships on Student Achievement and Mentor Teachers
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Cohen, J., Loeb, S., Miller, L. C., & Wyckoff, J. (2019) · Educational Evaluation and Policy Analysis · doi:10.3102/0162373719893338 · Cited by 31 · see citing works
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Loeb, S., & Byun, E. (2019) · The Annals of the American Academy of Political and Social Science · doi:10.1177/0002716219839929 · Cited by 29 · see citing works
OECD Reviews of School Resources
(2015) · OECD reviews of school resources · doi:10.1787/24133841 · Cited by 28 · see citing works
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Improving school management in low and middle income countries: A systematic review
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Cramer, T., Ganimian, A., Morris, P., & Cappella, E. (2021) · Journal of School Psychology · doi:10.1016/j.jsp.2021.08.003 · Cited by 26 · see citing works
Jones, N. D., Bettini, E. A., & Brownell, M. T. (2019) · The Elementary School Journal · doi:10.1086/701706 · Cited by 25 · see citing works
Engaging Teachers with Technology Increased Achievement, Bypassing Teachers Did Not
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Stollman, S., Meirink, J. A., Westenberg, P. M., & DRIEL, J. H. V. (2020) · Professional Development in Education · doi:10.1080/19415257.2020.1744683 · Cited by 24 · see citing works
Assessing the impact of collaborative inquiry on teacher performance and effectiveness
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Gilmour, A. F., & Henry, G. T. (2018) · The Elementary School Journal · doi:10.1086/696140 · Cited by 20 · see citing works
Cardim, J., Molina-Millán, T., & Vicente, P. C. (2023) · Journal of Development Economics · doi:10.1016/j.jdeveco.2023.103145 · Cited by 24 · see citing works
Wages, teacher recruitment, and student achievement
Gjefsen, H. M. (2020) · Labour Economics · doi:10.1016/j.labeco.2020.101848 · Cited by 20 · see citing works
Jiang, X., Du, Y., & Zheng, Y. (2023) · Heliyon · doi:10.1016/j.heliyon.2023.e23576 · Cited by 26 · see citing works
Jabbari, J., Roll, S., Bufe, S., & Chun, Y. (2022) · International Journal of Entrepreneurial Behaviour & Research · doi:10.1108/ijebr-10-2020-0731 · Cited by 17 · see citing works
Behavioral economics and nudging in education: evidence from the field
Damgaard, M. T., & Nielsen, H. S. (2020) · The Economics of Education · doi:10.1016/b978-0-12-815391-8.00002-1 · Cited by 18 · see citing works
Carroll, K. M., Patrick, S. K., & Goldring, E. B. (2021) · American Journal of Education · doi:10.1086/715002 · Cited by 15 · see citing works
Boeskens, L., & Nusche, D. (2021) · OECD education working papers · doi:10.1787/15990b42-en · Cited by 22 · see citing works
Who teaches the teachers? A RCT of peer-to-peer observation and feedback in 181 schools
Murphy, R., Weinhardt, F., & Wyness, G. (2021) · Economics of Education Review · doi:10.1016/j.econedurev.2021.102091 · Cited by 15 · see citing works
Steele, J., Steiner, E. D., & Hamilton, L. S. (2020) · Educational Administration Quarterly · doi:10.1177/0013161x20914720 · Cited by 15 · see citing works
Landa, J., & Donaldson, M. L. (2020) · Leadership and Policy in Schools · doi:10.1080/15700763.2020.1759648 · Cited by 13 · see citing works
Dương, N. H., Nam, N. H., & Trung, T. T. (2024) · Education 3-13 · doi:10.1080/03004279.2024.2318239 · Cited by 19 · see citing works
Collective leadership: A catalyst for school improvement
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High-leverage teacher evaluation practices for instructional improvement
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Collaborating for Improvement? Goal Specificity and Commitment in Targeted Teacher Partnerships
Patrick, S. K. (2022) · Teachers College Record The Voice of Scholarship in Education · doi:10.1177/01614681221086104 · Cited by 15 · see citing works
Bryan, C. J., Hecht, C. A., Blazar, D., Kraft, M. A., & Solheim, O. J. (2021) · SSRN Electronic Journal · doi:10.2139/ssrn.3911995 · Cited by 12 · see citing works
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Adams‐Prassl, A., Huttunen, K. M., Nix, E., et al. (2022) · doi:10.21034/iwp.64 · Cited by 10 · see citing works
Liebowitz, D. D. (2021) · Labour Economics · doi:10.1016/j.labeco.2021.102024 · Cited by 14 · see citing works
Examining Spillover Effects From Teach For America Corps Members in Miami-Dade County Public Schools
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Chi, O. L. (2021) · Education Finance and Policy · doi:10.1162/edfp_a_00367 · Cited by 10 · see citing works
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Liebowitz, D. D., & Porter, L. (2022) · Leadership and Policy in Schools · doi:10.1080/15700763.2022.2160359 · Cited by 12 · see citing works
Berry, B., & Byrd, P. (2019) · doi:10.51388/20.500.12265/104 · Cited by 8 · see citing works
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Taylor, E. S. (2023) · Handbook of the economics of education · doi:10.1016/bs.hesedu.2023.03.002 · Cited by 7 · see citing works
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El centro y las prácticas de colaboración docente como medios para la mejora educativa
Orbegozo, E. F. M. (2019) · ICE Revista de Economía · doi:10.32796/ice.2019.910.6918 · Cited by 9 · see citing works
Bernhard, R., McDermott, T., Hasenhüttl, C., Burn, K., & Sammons, P. (2024) · School Effectiveness and School Improvement · doi:10.1080/09243453.2024.2398601 · Cited by 9 · see citing works
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Lynch, K. S. (2024) · Educational Researcher · doi:10.3102/0013189x241282296 · Cited by 5 · see citing works
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Gershenson, S., Lindsay, C. A., Papageorge, N., Campbell, R., & Rendon, J. H. (2023) · National Bureau of Economic Research · doi:10.3386/w31847 · Cited by 5 · see citing works
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Eckert, J. M., Morgan, G. B., & Daughtrey, A. (2023) · Leadership and Policy in Schools · doi:10.1080/15700763.2023.2239894 · Cited by 7 · see citing works
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Taylor, E. (2022) · National Bureau of Economic Research · doi:10.3386/w30687 · Cited by 5 · see citing works
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Formative and Summative Teacher Evaluation in Social Context
Bell, C. A., & Kane, M. T. (2022) · Teacher education, learning innovation and accountability · doi:10.1007/978-3-031-13639-9_2 · Cited by 8 · see citing works
Professional growth in times of change
OECD (2020) · Education policy pointers · doi:10.1787/753eaa89-en · Cited by 12 · see citing works
Elstad, E., Lejonberg, E., & Christophersen, K.-A. A. (2019) · International Journal of Learning Teaching and Educational Research · doi:10.26803/ijlter.18.4.1 · Cited by 5 · see citing works
Taking Teacher Evaluation to Scale: The Effect of State Reforms on Achievement and Attainment
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Customizing Professional Development Opportunities to Teachers’ Needs
Agathangelou, S. A., Hill, H. C., & Charalambous, C. Y. (2024) · The Elementary School Journal · doi:10.1086/728590 · Cited by 5 · see citing works
Amodio, F., Hoey, S., & Schneider, J. (2023) · Management Science · doi:10.1287/mnsc.2023.4808 · Cited by 5 · see citing works
Volante, P., Müller, M., Salinas, Á., & Cravens, X. C. (2023) · Research in Educational Administration & Leadership · doi:10.30828/real.1095600 · Cited by 10 · see citing works
Measuring and Summarizing the Multiple Dimensions of Teacher EffectivenessPreprint
Mulhern, C., & Opper, I. (2021) · SSRN Electronic Journal · doi:10.2139/ssrn.3912373 · Cited by 4 · see citing works
Guiding Principals: Middle-Manager Coaching and Human-Capital Reform
Bush-Mecenas, S. C., Marsh, J. A., & Strunk, K. O. (2020) · Teachers College Record The Voice of Scholarship in Education · doi:10.1177/016146812012201004 · Cited by 5 · see citing works
Gulosino, C. A. (2018) · Education Policy Analysis Archives · doi:10.14507/epaa.26.2604 · Cited by 4 · see citing works
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Torrey Trust, Maloy, R. W., & Kommers, S. (2016) · Advances in higher education and professional development book series · doi:10.4018/978-1-5225-0965-3.ch009 · Cited by 4 · see citing works
Preferences, Selection, and the Structure of Teacher Pay
Johnston, A. C. (2025) · American Economic Journal Applied Economics · doi:10.1257/app.20210763 · Cited by 5 · see citing works
Madyan, M., Atika, N., Selvia, D., Hayati, S., & Salsabilah, W. S. (2024) · Integrated Science Education Journal · doi:10.37251/isej.v5i1.862 · Cited by 3 · see citing works
Bruhn, J., Jones, N. D., Kanno, Y., & Winters, M. A. (2022) · Educational Evaluation and Policy Analysis · doi:10.3102/01623737221136101 · Cited by 3 · see citing works
Stuhlman, M. W., Mikami, A. Y., Hofkens, T. L., Allen, J. P., Pianta, R. C., & Smit, S. (2022) · Frontiers in Education · doi:10.3389/feduc.2022.883226 · Cited by 4 · see citing works
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Amodio, F., & Martínez-Carrasco, M. A. (2020) · Journal of Labor Economics · doi:10.1086/719686 · Cited by 3 · see citing works
Hammond, T., Brooks, R., Thomas, S., Peak, C. W., Wade, P., Patrick, C., Ray, S., & Taele, P. (2021) · IEEE Frontiers in Education Conference (FIE) · doi:10.1109/fie49875.2021.9637477 · Cited by 3 · see citing works
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James, J. (2021) · American Educational Research Journal · doi:10.3102/00028312211024596 · Cited by 3 · see citing works
Fullard, J. (2023) · Social Sciences & Humanities Open · doi:10.1016/j.ssaho.2023.100605 · Cited by 2 · see citing works
Soffianningrum, I., Yufiarti, Y., & Yetti, E. (2022) · JPUD - Jurnal Pendidikan Usia Dini · doi:10.21009/jpud.161.04 · Cited by 2 · see citing works
EFA of Pedagogic Competence Instrument to Measure Teacher Performance
Prihono, E. W., Lapele, F., Jumaeda, S., Sukadari, S., & Nurjanah, S. (2022) · Advances in Social Science, Education and Humanities Research/Advances in social science, education and humanities research · doi:10.2991/assehr.k.220129.059 · Cited by 3 · see citing works
Masriah, I., & Sion, O. (2021) · INOVASI · doi:10.32493/inovasi.v8i1.p30-41.11491 · Cited by 3 · see citing works
Tailored Feedback and Worker Green Behavior: Field Evidence from Bus DriversPreprint
Soetevent, A. R., & Romensen, G.-J. (2017) · SSRN Electronic Journal · doi:10.2139/ssrn.3021784 · Cited by 2 · see citing works
Meier, K. J. (2026) · Public Performance & Management Review · doi:10.1080/15309576.2026.2632951 · Cited by 1 · see citing works
Gilbert, J. B., Himmelsbach, Z., Miratrix, L. W., Ho, A. D., & Domingue, B. W. (2025) · Journal of Educational and Behavioral Statistics · doi:10.3102/10769986251393339 · Cited by 6 · see citing works
Measuring teacher effectiveness for gifted and talented students
Walker, S., Imberman, S. A., & Strunk, K. O. (2025) · Economics of Education Review · doi:10.1016/j.econedurev.2025.102728 · Cited by 1 · see citing works
Hunter, S. B., Kho, A., & Bowser, K. M. (2025) · American Educational Research Journal · doi:10.3102/00028312251360923 · Cited by 1 · see citing works
- Authors
- Papay, J. P., Taylor, E. S., Tyler, J. H., & Laski, M. E.
- Affiliations
- Brown University (US)
- Harvard University (US)
- National Bureau of Economic Research (US)
- Venue
- American Economic Journal: Economic Policy
- Publisher
- American Economic Association
- Published
- 2020-02-01
- Volume
- 12
- Issue
- 1
- Pages
- 359-388
- ISSN
- 1945-7731 (ISSN-L)
- 1945-774X
- OpenAlex
- W2276452652
- Cited by
- 148
- References
- 54
- Citations by year
- 2026: 5 · 2025: 13 · 2024: 11 · 2023: 23 · 2022: 18 · 2021: 19 · 2020: 17 · 2019: 16 · 2018: 11 · 2017: 6 · 2016: 8 · 2015: 1
- FWCI
- 60.67
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Locations
- American Economic Journal Economic Policy (publishedVersion)
- National Bureau of Economic Research (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- Bill and Melinda Gates Foundation
- Tennessee Department of Education
- Harvard Graduate School of Education
- Topics
- Social Sciences › Education › School Choice and Performance
- Social Sciences › Education › School Leadership and Teacher Performance
- Social Sciences › Education › Teacher Education and Leadership Studies
- Keywords
- teacher performance, peer learning, academic performance, teacher professional development
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read under definition version 3 (extract-v3) on 2026-09-28.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-09-28.
Cited sources are checked by gpt-6-sol.
Statistics and arithmetic are recomputed, not judged.
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