Claims

Higher education polygenic scores predict persistence in mathematics coursetaking across four years of secondary school, robust to SES covariates, prior tracking, and school fixed effects

Claim · All claims
Evidence · 1 study (2 entries) · associational r3 · q3
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.

q3 i? Students with higher education-PGS took more advancing steps in math (b = 0.139), with only modest attenuation after SES covariates and in school fixed-effects models. → K. Paige Harden 2020 q3 i? After controlling for 9th-grade course placement, the education-PGS remained associated with persistence, while students tracked below Algebra 1 persisted less than those in Algebra 1. → K. Paige Harden 2020 (2)

Evidence

K. Paige Harden 2020

K. Paige Harden, Benjamin W. Domingue, Daniel W. Belsky, Jason D. Boardman, Robert Crosnoe, Margherita Malanchini, Michel Nivard, Elliot M. Tucker-Drob and Kathleen Mullan Harris. (2020). Genetic associations with mathematics tracking and persistence in secondary school. npj Science of Learning. https://doi.org/10.1038/s41539-020-0060-2

q3 · i? · associational · r3

Poisson regression of number of advancing steps (0-3) on education-PGS in the Add Health transcript sample, reported in Results. The association was "only modestly attenuated" after family- and school-SES covariates (b = 0.096), and school fixed-effects models also showed higher-PGS students took more advancing steps than schoolmates (b = 0.117).

"Students with higher education-PGS took more advancing steps (Fig. 1b; b = 0.139, SE = 0.011, 95% CI = [0.117, 0.159]); Supplementary Table 4)."

K. Paige Harden 2020 (2)

K. Paige Harden, Benjamin W. Domingue, Daniel W. Belsky, Jason D. Boardman, Robert Crosnoe, Margherita Malanchini, Michel Nivard, Elliot M. Tucker-Drob and Kathleen Mullan Harris. (2020). Genetic associations with mathematics tracking and persistence in secondary school. npj Science of Learning. https://doi.org/10.1038/s41539-020-0060-2

q3 · i? · associational · r3

Covariate model reported in Results: students tracked below Algebra 1 in 9th grade persisted less than those in Algebra 1, whereas students in Geometry or higher did not differ from Algebra 1 students (b = −0.059, CI including 0). Controlling for tracking, the education-PGS remained associated with persistence (b = 0.087).

"Students who were tracked to Pre-Algebra or lower in the 9th-grade persisted less in math than those in Algebra 1 ( b = −0.221, SE = 0.038, 95% CI = [−0.293, −0.147])."

Discussion

Page metadata
Field Value
type claim
id education-pgs-predicts-math-persistence
title Higher education polygenic scores predict persistence in mathematics coursetaking across four years of secondary school, robust to SES covariates, prior tracking, and school fixed effects
description Higher education polygenic scores predict persistence in mathematics coursetaking across four years of secondary school, robust to SES covariates, prior tracking, and school fixed effects
status review
evidence_strength moderate
newest_evidence 2020
generated by process:wiki-ingest on 2026-10-26
trust unverified — no one has confirmed this page's content
sources 2 — k-paige-harden-2020, k-paige-harden-2020-2

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