Claims

Attention more strongly predicts targeted math than targeted reading at a trend level

Claim · All claims
Evidence · 1 study · associational r3 · q3
Currency · newest study 2023 · 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? In a model with an academic subject interaction term, attention had a stronger predictive effect on the targeted math test than on reading, at a 'trend' level (p = 0.06). → Gallen 2023

Evidence

Gallen 2023

Gallen, C. L., Schaerlaeken, S., Younger, J. W., Project iLEAD Consortium, Anguera, J. A., & Gazzaley, A. (2023). Contribution of sustained attention abilities to real-world academic skills in children. Scientific Reports 13, 2673. https://doi.org/10.1038/s41598-023-29427-w

q3 · i? · associational · r3

Direct comparison of attention's predictive power between subjects using a linear mixed model with an academic subject interaction term in the school-based sample. The contrast reached only the article's pre-stated 'trend' threshold of p < 0.1, not conventional significance; no standardized effect size is printed.

"We found that attention had a stronger predictive effect on the tar - geted test of math than on reading at a ‘trend’ level (F(1, 1153) = 3.50, p = 0.06, R2 m (model) = 0.19, R2 c (model) = 0.19)"

Discussion

Learner Variables

Page metadata
Field Value
type claim
id attention-more-predictive-targeted-math-than-reading-trend
title Attention more strongly predicts targeted math than targeted reading at a trend level
description Attention more strongly predicts targeted math than targeted reading at a trend level
status review
evidence_strength weak
newest_evidence 2023
generated by process:wiki-ingest on 2026-10-17
trust unverified — no one has confirmed this page's content
sources 1 — gallen-2023

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