Recommended MAP Growth screening cut scores yield sensitivity, specificity, and lower-bound AUC of at least 0.8 for most grades and terms¶
Claim · All claims
Evidence · 1 study · associationalr2·q3
Currency · newest study 2021 · checked against its sources 2026-10-20 (automated, 1 of 1 entry) · not reviewed by a person · overdue for a recheck since 2024: 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.
q3 i? For the recommended cut scores, sensitivity, specificity, and lower bound of the AUC reached at least 0.8 for most grades and terms, the highest level of the NCII evaluation criteria. → He 2021
Evidence¶
He 2021¶
He, W., & Meyer, P. (2021). MAP Growth universal screening benchmarks: Establishing MAP Growth as an effective universal screener. NWEA. https://www.nwea.org
q3 · i? · associational · r2
Classification accuracy results in Tables 2.9 and 2.10 for the primary and secondary samples show sensitivity, specificity, and AUC lower bounds for the recommended cut scores; the conclusion states these reached "at least 0.8 for most grades and terms" against NCII rubric criteria.
"As demonstrated by the classification accuracy results in this study, the recommended cut scores for both subjects resulted in sensitivity, specificity, and lower bound of the AUC of at least 0.8 for most grades and terms—the highest level of the evaluation criteria described in the NCII rating rubrics"
Discussion¶
Related Claims¶
- Literacy screener benchmarks predict which grade 3 students will not meet MCAS ELA expectations, but not necessarily who will meet them — the general claim this finding bears on, with the studies behind it
- Cross-validation in an independent Indiana sample was consistent with the primary-sample classification accuracy results — related
- Classification accuracy of the screening cut scores is lower for Grades K-2 than Grades 3-8, attributed to a 12-36 month lapse between MAP Growth and criterion measures — related
- MAP Growth cut scores at the 30th percentile of national norms best identify Grade K-8 students in need of intensive intervention in reading and mathematics — related
- Classification threshold trades sensitivity against specificity: 0.30 yields 91.3% sensitivity, 0.60 yields 89.7% specificity — related
- Only four screeners demonstrated acceptable diagnostic accuracy for distinguishing children with or at-risk of mathematical learning difficulties — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
map-growth-screening-accuracy-08-criteria |
title |
Recommended MAP Growth screening cut scores yield sensitivity, specificity, and lower-bound AUC of at least 0.8 for most grades and terms |
description |
Recommended MAP Growth screening cut scores yield sensitivity, specificity, and lower-bound AUC of at least 0.8 for most grades and terms |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2021 |
source_checked |
2026-10-20 |
recheck_by |
2024 |
generated |
by process:wiki-ingest on 2026-10-08 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — he-2021 |
Frontmatter is the page's machine-readable record — see the Schema & Guide.