Claims

Performance on the newly learned symbols shows canonical ratio effects, consistent with mapping novel symbols onto Approximate Magnitude System representations

Claim · All claims
Evidence · 1 study · causal r3 · q3 · i3 large
Currency · newest study 2018 · 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 i3 Accuracy on the symbolic comparison task decreased as the ratio between symbols approached 1, with ratio predicting trial-level accuracy. → Amy Bennett 2018

Evidence

Amy Bennett 2018

Amy Bennett, Matthew Inglis and Camilla Gilmore. (2018). The Cost of Multiple Representations: Learning Number Symbols with Abstract and Concrete Representations. https://doi.org/10.1037/edu0000318

q3 · i3 · causal · r3

A by-items linear regression in Experiment 1 predicted the proportion of participants answering each trial correctly from the trial's ratio, showing "a significant effect of ratio, β = -.744". Overall accuracy also correlated with arithmetic fluency, r = .391.

"This revealed a significant effect of ratio, β = -.744, p < .001, R2 = .554. Overall accuracy was correlated with performance on the Woodcock Johnson arithmetic fluency test, r = .391, p = .001"

Discussion

Learner Variables

Page metadata
Field Value
type claim
id novel-symbol-ratio-effects-ams-mapping
title Performance on the newly learned symbols shows canonical ratio effects, consistent with mapping novel symbols onto Approximate Magnitude System representations
description Performance on the newly learned symbols shows canonical ratio effects, consistent with mapping novel symbols onto Approximate Magnitude System representations
status review
evidence_strength moderate
newest_evidence 2018
generated by process:wiki-ingest on 2026-10-24
trust unverified — no one has confirmed this page's content
sources 1 — amy-bennett-2018

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