Claims

Arabic numeral formatted, small-problem-size outcomes (basic facts, computational fluency) retain high loadings on a specialized quantitative factor despite executive attention in the model

Claim · All claims
Evidence · 1 study · associational r3 · q2
Currency · newest study 2017 · 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? Basic Facts Addition, Basic Facts Subtraction, and Computational Fluency had high encoding complex factor loadings even after adding executive attention as a direct predictor. → Rhodes Katherine T. 2017

Evidence

Rhodes Katherine T. 2017

Rhodes Katherine T., Branum-Martin Lee, Washington Julie A., Fuchs Lynn S. (2017). Measuring arithmetic: A psychometric approach to understanding formatting effects and domain specificity. Journal of Educational Psychology. https://doi.org/10.1037/edu0000189

q2 · i? · associational · r3

In the Encoding Complex full measurement model of the N=1314 confirmatory factor analysis, the three Arabic numeral, small-problem-size outcomes retained high loadings on the seemingly modular encoding complex factor. The article describes this as evidence that something beyond executive attention and language predicts these outcomes.

"Three outcomes in particular (Basic Facts Addition, Basic Facts Subtraction, and Computational Fluency, all of which were formatted with Arabic numerals and involved relatively small problem sizes) had high encoding complex factor loadings despite the addition of executive attention as a predictor."

Discussion

Page metadata
Field Value
type claim
id basic-facts-retain-encoding-complex-loadings
title Arabic numeral formatted, small-problem-size outcomes (basic facts, computational fluency) retain high loadings on a specialized quantitative factor despite executive attention in the model
description Arabic numeral formatted, small-problem-size outcomes (basic facts, computational fluency) retain high loadings on a specialized quantitative factor despite executive attention in the model
status review
evidence_strength weak
newest_evidence 2017
generated by process:wiki-ingest on 2026-10-24
trust unverified — no one has confirmed this page's content
sources 1 — rhodes-katherine-t-2017

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