Claims

School test score averages are strongly related to the income of the families a school serves

Claim · All claims
Evidence · 1 study · causal r2 · q2 · i3 large
Currency · newest study 2020 · not yet checked against its sources · not reviewed by a person

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 i3 Across Illinois schools in 2019, the percentage of low-income students was strongly negatively correlated with school ELA proficiency (r = -.77) and math proficiency (r = -.79). → Elaine M. Allensworth and Andrew Zou 2020

Evidence

Elaine M. Allensworth and Andrew Zou 2020

Elaine M. Allensworth and Andrew Zou. (2020). Supporting Neighborhood Schools from Pre-K through High School: Successes and Challenges of the North Lawndale Cluster Initiative. UChicago Consortium Research Report. https://consortium.uchicago.edu/publications/supporting-neighborhood-schools-from-pre-k-through-high-school

q2 · i3 · causal · r2

Observational analysis of 2019 data for Illinois schools plotted in Figure 1, relating percent low income to ISAT proficiency; the figure note reports correlations of r = -.77 for ELA and r = -.79 for math. At schools serving very few low-income students, 70-80 percent of students met testing norms.

"School percent low income is correlated with ELA proficiency at -.77 and math proficiency at -.79, where zero is no relationship and -1.0 is perfectly related."

Studies bearing on this claim

Does family income predict achievement and attainment, how large are the gaps, and when do they open? This table gathers the studies behind this claim and the 18 narrower claims that bear on it: 21 distinct studies (13 associational, 3 causal, 3 review, 2 design), q1–q3, 1 of 21 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.

Study Design Effect as recorded Bears on this claim through
Elaine M. Allensworth and Andrew Zou 2020 q2 · causal · r2 i3 this claim
Ehrlich 2016 q2 · design · r2 i? Children from low-income families enter kindergarten one full standard deviation (15 stand (supports)
Roberto Agodini 2008 q2 · design · r2 i? Early socioeconomic math performance gaps grow over time, producing substantial difference (supports)
Kuhfeld 2019 q2 · associational · r2 i? Achievement gaps between high-poverty and low-poverty schools at kindergarten entry narrow (qualifies)
Lemke 2023 q2 · associational · r2 i? Economically disadvantaged, English learner, special education, Black, and Hispanic studen (supports)
Mariann Lemke 2023 q2 · associational · r2 i? Risk identification varies by grade and student group: kindergarten and grade 3 students w (supports)
Lemke 2025 q2 · associational · r2 i? Students from low income, English learner, special education, and several racial/ethnic gr (supports)
Duncan Chaplin 2006 q2 · causal · r? i? Low-income children's test scores drop relative to higher-income peers during the summer m (supports)
Griffith 2025 q2 · review · r2 i? On 2022 NAEP 8th- and 12th-grade reading and math exams, students who were both English le (supports)
Hanson 2020 q2 · associational · r3 i? About 27 percent of 2018 graduates statewide met all CCR graduation requirements, with gap (supports)
Melissa Roderick 2009 q2 · review · r2 i? High-SES graduates were more than three times as likely as low-SES graduates to take an AP (supports)
Easton 2017 q2 · associational · r2 i? Ninth-grade GPAs varied substantially by gender, race/ethnicity, neighborhood SES, incomin (supports)
Coca 2017 q2 · associational · r2 i? College enrollment gaps by race, gender, and socioeconomic background among CPS graduates (supports)
Terrell 2026 q2 · associational · r2 i? Students from socioeconomically disadvantaged backgrounds fail dual enrollment at higher r (supports)
Jill M. Constantine 2006 q1 · causal · r? i? Low-income and first-generation students are less likely to complete high school and atten (supports)
Christine Ross 2015 q2 · associational · r? i? School median student growth percentiles correlate with student disadvantage (supports)
Michael Dahlin and Beth Tarasawa 2013 q2 · associational · r2 i? Growth rates varied tremendously between schools regardless of poverty, with top-quartile (qualifies)
Barrow 2020 q3 · associational · r3 i? Students in the lowest-SES neighborhoods were 3 percentage points less likely to enroll in (qualifies)
Gabrieli, MIT McGovern Institute q2 · associational · r? i? The number of conversational turns is more closely associated with children's language ski (qualifies)
Hart and Risley 1995 q2 · associational · r? i? The number of conversational turns is more closely associated with children's language ski (qualifies)
Darling-Hammond 2018 q2 · review · r2 i? The number of conversational turns is more closely associated with children's language ski (qualifies)

Discussion

Learner Variables

Page metadata
Field Value
type claim
id school-test-scores-strongly-related-to-family-income
title School test score averages are strongly related to the income of the families a school serves
description School test score averages are strongly related to the income of the families a school serves
status review
evidence_strength weak
newest_evidence 2020
generated by process:wiki-ingest on 2026-10-08
trust unverified — no one has confirmed this page's content
sources 1 — elaine-m-allensworth-and-andrew-zou-2020

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