Claims

Students rating learning conditions most positively are more than twice as likely to earn a B or better in math than students rating them most negatively

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? Students averaging in the Strongly Agree range across learning conditions are more than two times as likely to earn a B or better in math than students in the Strongly Disagree range. → Gripshover 2022 q2 i? Each increment in the composite learning conditions score is associated with 6% more students earning A's and B's, on average. → 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

Observational analysis of survey and grade data from over 4,000 U.S. 8th–12th graders collected October–March of 2019–20. The report states students in the “Strongly Agree” range were “more than two times as likely to earn a B or better” than those in the “Strongly Disagree” range; no standardized effect size is printed.

"Students who average in the “Strongly Agree” range across all learning conditions—indicating strongly positive learning conditions—are more than two times as likely to earn a B or better in math that term compared with students in the “Strongly Disagree” range."

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

Figure 1 caption reporting the per-increment association between the composite learning conditions score and the percent of students earning A's or B's in math; descriptive, no test statistic printed.

"Each increment in the composite score is associated with 6% more students earning A’s and B’s, on average."

Discussion

Page metadata
Field Value
type claim
id positive-learning-conditions-double-odds-b-or-better-math
title Students rating learning conditions most positively are more than twice as likely to earn a B or better in math than students rating them most negatively
description Students rating learning conditions most positively are more than twice as likely to earn a B or better in math than students rating them most negatively
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

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