Claims

Publicly reported statistics based only on active ELs give a biased picture of EL performance because proficient students exit the subgroup

Claim · All claims
Evidence · 1 study (2 entries) · associational r2 · q2
Currency · newest study 2019 · 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 i? In 2018 CPS eighth-grade ELA PARCC data, only 1.3 percent of active ELs met expectations while 31.5 percent of former ELs did, and former ELs outperformed students never classified as ELs (25.9 percent). → de la Torre 2019 q2 i? Active EL metrics are biased because the group is defined by low achievement on the ACCESS and changes composition every year as proficient students are reclassified as non-ELs. → de la Torre 2019 (2)

Evidence

de la Torre 2019

de la Torre, M., Blanchard, A., Allensworth, E.M., & Freire, S. (2019). English Learners in CPS: A new perspective. Chicago, IL: University of Chicago Consortium on School Research. https://consortium.uchicago.edu

q2 · i? · associational · r2

Analysis of 2017-18 CPS eighth-grade ELA PARCC results (23,414 test-takers) regrouped by EL history. Under current public reporting, active ELs' pass rate was 1.3 percent versus 27.5 percent for non-ELs; separating former ELs reverses the picture. Percentages are descriptive; no effect size is printed.

"the ELA PARCC pass rate for students never classified as ELs goes down to 25.9 percent, while 31.5 percent of former ELs did pass the ELA PARCC"

de la Torre 2019 (2)

de la Torre, M., Blanchard, A., Allensworth, E.M., & Freire, S. (2019). English Learners in CPS: A new perspective. Chicago, IL: University of Chicago Consortium on School Research. https://consortium.uchicago.edu

q2 · i? · associational · r?

The report's analytical argument about subgroup composition: active ELs are selected on low ACCESS achievement, former ELs on high achievement, so metrics on either grouping are biased. It notes even a successful school can look like it poorly supports ELs under active-EL reporting.

"Active ELs, defined by low achievement on the ACCESS, tend to have low average achievement on other assessments, and the reverse is true for former ELs—so any resulting metrics about the academic achievement of these two groups together will be biased."

Discussion

Page metadata
Field Value
type claim
id active-el-reporting-bias
title Publicly reported statistics based only on active ELs give a biased picture of EL performance because proficient students exit the subgroup
description Publicly reported statistics based only on active ELs give a biased picture of EL performance because proficient students exit the subgroup
status review
evidence_strength moderate
newest_evidence 2019
generated by process:wiki-ingest on 2026-10-08
trust unverified — no one has confirmed this page's content
sources 2 — de-la-torre-2019, de-la-torre-2019-2

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