Claims

Schooling showed no significant interaction with cogPGS or SES on any intelligence domain, and Bayesian ROPE analysis found interaction effects under 0.05 SD with 95% probability

Claim · All claims
Evidence · 1 study (2 entries) · causal r2 · q3 · i0 negligible
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.

q3 i0 No significant two-way (schooling-cogPGS, schooling-SES, cogPGS-SES) or three-way interactions were found for cIQ, fIQ, or WM; almost all interaction terms fell entirely within a 0.05 SD ROPE boundary. → Nicholas Judd 2022 q3 i? A 0.02 SD effect could not be ruled out: most interaction distributions substantially overlap the 0.02 ROPE boundary. → Nicholas Judd 2022 (2)

Evidence

Nicholas Judd 2022

Nicholas Judd, Bruno Sauce and Torkel Klingberg. (2022). Schooling substantially improves intelligence, but neither lessens nor widens the impacts of socioeconomics and genetics. npj Science of Learning. https://doi.org/10.1038/s41539-022-00148-5

q3 · i0 · causal · r2

Post hoc Bayesian hierarchical mixed-effects models of the two-way interaction terms of interest, with weakly informative zero-centered priors. No frequentist interactions were significant for any domain (Eqs. 3 and 4).

"Almost all interaction terms were entirely within a ROPE boundary of 0.05 (Fig. 3). This means that with a 95% probability, the interaction effect was less than 0.05 SD, adding evidence for the null hypothesis"

Nicholas Judd 2022 (2)

Nicholas Judd, Bruno Sauce and Torkel Klingberg. (2022). Schooling substantially improves intelligence, but neither lessens nor widens the impacts of socioeconomics and genetics. npj Science of Learning. https://doi.org/10.1038/s41539-022-00148-5

q3 · i? · causal · r2

Bayesian ROPE analysis used two boundaries (0.05 and 0.02) because of a lack of consensus on minimal effect size of interest and because schooling is a cumulative process. The exceptions slightly outside 0.05 were schooling-cogPGS for fIQ (3%) and WM (5%).

"most of the terms have a substantial part of their distribution overlapping with the ROPE boundaries of 0.02. This means we cannot confirm nor disprove the null hypothesis for a maximal effect size of interest of 0.02 SDs."

Discussion

Page metadata
Field Value
type claim
id schooling-no-interaction-ses-cogpgs
title Schooling showed no significant interaction with cogPGS or SES on any intelligence domain, and Bayesian ROPE analysis found interaction effects under 0.05 SD with 95% probability
description Schooling showed no significant interaction with cogPGS or SES on any intelligence domain, and Bayesian ROPE analysis found interaction effects under 0.05 SD with 95% probability
status review
evidence_strength moderate
newest_evidence 2022
generated by process:wiki-ingest on 2026-10-26
trust unverified — no one has confirmed this page's content
sources 2 — nicholas-judd-2022, nicholas-judd-2022-2

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