Claims

Learning conditions predict math grades across racial and socioeconomic groups, with larger associations for FRPL-eligible and Black students

Claim · All claims
Evidence · 1 study (2 entries) · associational r2 · q2
Currency · newest study 2022 · 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? FRPL-eligible students were 34% more likely and Black students 35% more likely to earn a B or better when rating learning conditions positively, versus 21% for White students not eligible for FRPL. → Gripshover 2022 q2 i? The relationship between learning conditions and math grades was not moderated by race or by FRPL eligibility. → Gripshover 2022 (2)

Evidence

Gripshover 2022

Gripshover, S., Londerée, A., Ahuvia, I., Shyjka, A., Kroshinsky, F., Ryan, N., Farrington, C., & Paunesku, D. (2022). Learning Conditions Are an Actionable, Early Indicator of Math Learning. PERTS & University of Chicago Consortium on School Research. https://consortium.uchicago.edu/publication/learning-conditions-are-an-actionable-early-indicator-of-math-learning

q2 · i? · associational · r2

Subgroup analysis of the 2019–20 survey and grade data comparing positive vs. negative learning conditions within demographic groups; the printed percentages are descriptive likelihoods, not standardized effect sizes.

"students who are eligible for Free and Reduced Price Lunch (FRPL) because of their family income were 34% more likely to earn a B or better if they rated learning conditions positively. Additionally, Black students were 35% more likely to earn a B or better if they rated learning conditions positively."

Gripshover 2022 (2)

Gripshover, S., Londerée, A., Ahuvia, I., Shyjka, A., Kroshinsky, F., Ryan, N., Farrington, C., & Paunesku, D. (2022). Learning Conditions Are an Actionable, Early Indicator of Math Learning. PERTS & University of Chicago Consortium on School Research. https://consortium.uchicago.edu/publication/learning-conditions-are-an-actionable-early-indicator-of-math-learning

q2 · i? · associational · r2

Moderation test reported in the results text for the same sample; the report prints no test statistic or effect size for the moderation, so impact is null.

"The relationship between learning conditions and math grades was not moderated by race or by qualifying for FRPL vs. not qualifying."

Discussion

Learner Variables

Page metadata
Field Value
type claim
id learning-conditions-predict-grades-across-demographics
title Learning conditions predict math grades across racial and socioeconomic groups, with larger associations for FRPL-eligible and Black students
description Learning conditions predict math grades across racial and socioeconomic groups, with larger associations for FRPL-eligible and Black students
status review
evidence_strength moderate
newest_evidence 2022
generated by process:wiki-ingest on 2026-10-08
trust unverified — no one has confirmed this page's content
sources 2 — gripshover-2022, gripshover-2022-2

Frontmatter is the page's machine-readable record — see the Schema & Guide.