Overall false positive error rates are about 10 percent and false negative error rates about 20 percent for value-added performance classifications¶
Claim · All claims
Evidence · 1 study · associationalr?·q2
Currency · newest study 2013 · not yet checked against its sources · not reviewed by a person · overdue for a recheck since 2016: tool and model accuracy changes quickly
Subclaims¶
Reading the evidence codes
q is the design tier, i the impact, n the sample, and the kind with its r
the rigour judged within that kind: what each code means.
This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.
q2 i? Corresponding overall false positive error rates are about 10 percent and false negative error rates about 20 percent. → Peter Z. Schochet 2013
Evidence¶
Peter Z. Schochet 2013¶
Peter Z. Schochet, Hanley S. Chiang. (2013). What Are Error Rates for Classifying Teacher and School Performance Using Value-Added Models? Journal of Educational and Behavioral Statistics, vol. 38, no. 2. https://www.mathematica.org/publications/what-are-error-rates-for-classifying-teacher-and-school-performance-using-value-added-models doi:10.3102/1076998611432174
q2 · i? · associational · r?
Analytical estimation of classification error rates using OLS and empirical Bayes formulas for teacher and school performance in the upper elementary grades. The article states that "error rates for overall false positive and negative errors are 10 percent and 20 percent, respectively."
"Corresponding error rates for overall false positive and negative errors are 10 percent and 20 percent, respectively."
Discussion¶
Related Claims¶
- Value-added error rates apply to measuring both teacher and school performance in the upper elementary grades using student test score gain data — a broader claim this one bears on
- Error rates for comparing a teacher's performance to the average are about 25 percent with three years of data and 35 percent with one year of data — related
- Overall false positive and false negative error rates in teacher value-added performance classification are about 10 and 20 percent, respectively — possibly the same claim (merge candidate)
- The working paper examines the sensitivity and precision of teacher value-added estimates under specifications differing in student-level, peer-level, and double-lagged achievement controls — related
- Screening classification errors carry asymmetric costs: false positives risk unnecessary intensive placement while false negatives delay early intervention — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
value-added-false-positive-negative-error-rates |
title |
Overall false positive error rates are about 10 percent and false negative error rates about 20 percent for value-added performance classifications |
description |
Overall false positive error rates are about 10 percent and false negative error rates about 20 percent for value-added performance classifications |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2013 |
recheck_by |
2016 |
generated |
by process:wiki-ingest on 2026-10-08 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — peter-z-schochet-2013 |
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