Language is not a direct predictor of arithmetic outcomes once executive attention is accounted for, but language and executive attention are strongly related (r=.80 in the hybrid model)¶
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Evidence · 1 study · associationalr2·q2
Currency · newest study 2017 · not yet checked against its sources · not reviewed by a person
Subclaims¶
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q2 i? In the hybrid model, language-formatted arithmetic outcomes were not significant indicators of language, and the language–executive attention correlation was large (r=.80). → Rhodes Katherine T. 2017
q2 i? The authors interpret that language may play a facilitative role in reasoning during numeric processing via its strong relationship with executive attention. → 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 · r2
Post-hoc hybrid full measurement model in the N=1314 confirmatory factor analysis: language loadings on language measures ranged .71 to .74, but no language-formatted arithmetic outcome loaded significantly on language; language correlated with executive attention at r=.80.
"none of the language-formatted arithmetic outcomes were significant indicators of language, meaning that the auditory verbal factor is distinct from language"
Discussion¶
Related Claims¶
- Executive attention is a significant direct predictor of all arithmetic outcomes across formats and problem demands, as predicted by Encoding Complex Theory — related
- A post-hoc hybrid model combining Triple Code's three format-specific arithmetic factors with Encoding Complex's direct executive attention and language predictors fits best (CFI=.97) — related
- Third-graders' language-formatted, Arabic numeral-formatted, and estimation arithmetic outcomes are separable but highly related latent factors — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
language-not-direct-predictor-executive-attention |
title |
Language is not a direct predictor of arithmetic outcomes once executive attention is accounted for, but language and executive attention are strongly related (r=.80 in the hybrid model) |
description |
Language is not a direct predictor of arithmetic outcomes once executive attention is accounted for, but language and executive attention are strongly related (r=.80 in the hybrid model) |
status |
review |
evidence_strength |
moderate |
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 |
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