Students from low income, English learner, special education, and several racial/ethnic groups are more likely to be repeatedly identified as significantly below benchmark, with low income students 2.5 times as likely¶
Claim · All claims
Evidence · 1 study · associationalr2·q2
Currency · newest study 2025 · checked against its sources 2026-10-16 (automated, 1 of 1 entry) · not reviewed by a person · recheck by 2030: baselines and conditions change
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? Students from low income backgrounds were 2.5 times as likely to be repeatedly classified as at significant risk as students without low income backgrounds, and Hispanic White students about 1.8 times as likely as non-Hispanic White students. → Lemke 2025
Evidence¶
Lemke 2025¶
Lemke, M., Faulkner-Bond, M., LeBeau, B., Soo Ping Chow, A., & Quesen, S. (2025). Early literacy performance in Massachusetts: Results of ongoing analysis of literacy screening assessments (2023/24 data). WestEd. https://eric.ed.gov/?id=ED677571
q2 · i? · associational · r2
Report's key findings summary of statewide screening benchmark analysis by student group. It reports students from low income backgrounds "were 2.5 times as likely to be repeatedly classified as at significant risk" than students without low income backgrounds; no standardized effect size is printed.
"students from low income backgrounds were 2.5 times as likely to be repeatedly classified as at significant risk than were students without low income backgrounds"
Studies bearing on this claim¶
Which groups of students does universal screening flag most often, and does that pattern hold across years and school contexts? This table gathers the studies behind this claim and the 10 narrower claims that bear on it: 6 distinct studies (6 associational), q2, 0 of 6 with an effect size coded. One row per study, codes as each entry records them; no effect is averaged and no verdict is drawn. Built by scripts/synthesize_claim.py from eval/synthesis/; a row that looks wrong is fixed on the claim it comes from.
Discussion¶
Learner Variables¶
- Socioeconomic Status — predictor: outcomes differ by group: a gap reflecting circumstances and treatment, not a cause
- English-Learner Status — predictor: learners who differ on it differ in outcomes
Related Claims¶
- School test score averages are strongly related to the income of the families a school serves — the general claim this finding bears on, with the studies behind it
- Students from low income backgrounds, English learners, students receiving special education services, and Black and Hispanic students were more often identified as at significant risk — related
- Formal early childhood experience reduces the likelihood of being identified as significantly below benchmark, most pronounced among English learner students and Black English learner students — related
- The likelihood of being identified as significantly below benchmark in early literacy screening increases as historically underserved background characteristics intersect — related
- Low income, English learner, special education, Black, and Hispanic students were more likely to be classified significantly below benchmark at each time period and more than once — related
- School and district factors relate to risk identification: low income concentration correlates with repeated risk identification, and segregation modestly increases it, though some schools outperform model predictions — related
- The likelihood of being identified as at risk increases as historically underserved background characteristics intersect, with variation by gender and race/ethnicity, and school characteristics also matter — related
- Economically disadvantaged, English learner, special education, Black, and Hispanic students were more likely than peers to be ever below benchmark — related
- Children from all racial/ethnic groups were projected to gain more in higher-tier programs, but most racial/ethnic differences were not statistically significant — related
- CREDO's new race/ethnicity approach estimates full annual growth per group without benchmarking against any race/ethnicity — related
- Risk identification varies by grade and student group: kindergarten and grade 3 students were less often at risk than grades 1–2, and economically disadvantaged, English learner, Hispanic, Black, and special education students were more often identified at risk — related
- School-level concentration of low income students and racial isolation are associated with higher early literacy risk rates — related
- English learner students were more often identified at risk overall, but those with low English proficiency on ACCESS were not necessarily below benchmark; a little over one third of English learners meeting benchmark scored at the two lowest ACCESS proficiency levels — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
massachusetts-k3-risk-inequities-student-groups |
title |
Students from low income, English learner, special education, and several racial/ethnic groups are more likely to be repeatedly identified as significantly below benchmark, with low income students 2.5 times as likely |
description |
Students from low income, English learner, special education, and several racial/ethnic groups are more likely to be repeatedly identified as significantly below benchmark, with low income students 2.5 times as likely |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2025 |
source_checked |
2026-10-16 |
recheck_by |
2030 |
generated |
by process:wiki-ingest on 2026-10-09 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — lemke-2025 |
Frontmatter is the page's machine-readable record — see the Schema & Guide.