DIF analyses indicate the vast majority of MAP Growth items show negligible differential item functioning across gender and racial/ethnic groups¶
Claim · All claims
Evidence · 1 study · designr2·q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person · recheck by 2029: 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? Differential item functioning analyses indicate the vast majority of items show negligible DIF across gender and racial/ethnic groups. → MAP Growth Technical Report for 2024–2025 2026
Evidence¶
MAP Growth Technical Report for 2024–2025 2026¶
MAP Growth Technical Report for 2024–2025. (2026). HMH Education Company. https://www.nwea.org/research/publication/map-growth-technical-report/
q2 · i? · design · r2
The fairness chapter reports Mantel-Haenszel DIF analyses using ETS classification levels on operational item data; the summary states "the vast majority of items show negligible DIF across gender and racial/ethnic groups." No effect-size statistic is printed in the available text.
"Item content is reviewed for bias and sensitivity, with differential item functioning (DIF) analyses indicating that the vast majority of items show negligible DIF across gender and racial/ethnic groups."
Discussion¶
Related Claims¶
- Cultivate survey items function without systematic bias across student groups by race/ethnicity, gender, economic disadvantage, learning differences, or EL status — related
- Most Spanish test items show negligible differential item functioning across gender and Hispanic–White comparisons — related
- The vast majority of Spanish Math (91%) and Reading (98%) items show no misfit across fall, winter, and spring terms — related
- Kindergarten entry-age effects do not differ by gender or race — related
- DIF analysis finds mostly negligible or slight-to-moderate differential item functioning, with only one item showing moderate-to-large DIF favoring Asian over White participants — a narrower finding that bears on this claim
- DIF study finds most items in category A, with C DIF rare (~1%) except for the Native English/Bilingual group (6.66%) — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
map-growth-negligible-dif-gender-race-ethnicity |
title |
DIF analyses indicate the vast majority of MAP Growth items show negligible differential item functioning across gender and racial/ethnic groups |
description |
DIF analyses indicate the vast majority of MAP Growth items show negligible differential item functioning across gender and racial/ethnic groups |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2026 |
recheck_by |
2029 |
generated |
by process:wiki-ingest on 2026-10-08 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — map-growth-technical-report-for-20242025-2026 |
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