Claims

The ability to identify basic emotions from non-linguistic vocal bursts improves significantly with age from 5 to 17 years

Claim · All claims
Evidence · 1 study · associational r2 · q3
Currency · newest study 2018 · not yet checked against its sources · not reviewed by a person · overdue for a recheck since 2023: baselines and conditions change

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? Mixed-model logistic regression on forced-choice labeling of affective vocal bursts shows a highly significant effect of age on recognition accuracy in children and adolescents aged 5–17. → Grosbras 2018

Evidence

Grosbras 2018

Grosbras, M.-H., Ross, P. D. & Belin, P. (2018). Categorical emotion recognition from voice improves during childhood and adolescence. Scientific Reports 8, 14791. https://doi.org/10.1038/s41598-018-32868-3

q3 · i? · associational · r2

Cross-sectional mixed-model logistic regression on 225 participants aged 5–17 labeling affect bursts. The article reports the age effect as highly significant (Z = 5.52, p = 3.4 × 10−8); no effect size is printed, so impact is null.

"The effect of age was highly significant (Z = 5.52, p = 3.4 × 10−8). Adding a quadratic term (age2) improved the model fit: Chi-sq(1) = 5.14, p < 0.023"

Discussion

Page metadata
Field Value
type claim
id vocal-emotion-recognition-improves-age-5-17
title The ability to identify basic emotions from non-linguistic vocal bursts improves significantly with age from 5 to 17 years
description The ability to identify basic emotions from non-linguistic vocal bursts improves significantly with age from 5 to 17 years
status review
evidence_strength moderate
newest_evidence 2018
recheck_by 2023
generated by process:wiki-ingest on 2026-10-17
trust unverified — no one has confirmed this page's content
sources 1 — grosbras-2018

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