Choice behavior is more value-driven in the observational than individual learning condition, and adults show higher choice specificity than children¶
Claim · All claims
Evidence · 1 study · causalr2·q3
Currency · newest study 2024 · 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? Participants followed choice values more optimally in the observational (median = 2.14) than individual (median = 1.03) condition (β = 0.95, t = 7.4, p < 0.001), and children (median = 1.13) were less optimal than adults (median = 2.18; β = 0.91, t = 4.5, p < 0.001). → Rodriguez Buritica 2024
Evidence¶
Rodriguez Buritica 2024¶
Rodriguez Buritica, J. M., Eppinger, B., Heekeren, H. R., Crone, E. A. & van Duijvenvoorde, A. C. K. (2024). Observational reinforcement learning in children and young adults. npj Science of Learning. https://doi.org/10.1038/s41539-024-00227-9
q3 · i? · causal · r2
Robust mixed-effects analysis of the inverse temperature parameter from the best-fitting RL model, per condition and age group. Participants "followed choice values more optimally in the observational (median = 2.14) than individual learning (median = 1.03) condition", and children were less optimal than adults. No age × condition effect (p = 0.9).
"showed that partic ipants followed choice values more optimally in the observational (med ian = 2.14) than individual learning (median = 1.03) condition (main effect condition, β = 0.95, t =7 . 4 , p < 0.001). A main effect of age group showed that children (median = 1.13) were less optimal in their choice behavior than adults (median = 2.18; β = 0.91,t =4 . 5 ,p < 0.001)."
Discussion¶
Related Claims¶
- Observing a peer's choices and outcomes improves probabilistic learning performance relative to individual learning in both children and young adults — related
- A reinforcement learning model with separate surprise and uncertainty learning-rate parameters per condition best fits gambling behavior, though individual parameter estimates did not reach significance — related
- Learning rates are higher for positive than negative outcomes in both conditions and age groups, with no condition or age differences — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
inverse-temperature-condition-age-differences |
title |
Choice behavior is more value-driven in the observational than individual learning condition, and adults show higher choice specificity than children |
description |
Choice behavior is more value-driven in the observational than individual learning condition, and adults show higher choice specificity than children |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2024 |
generated |
by process:wiki-ingest on 2026-10-26 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — rodriguez-buritica-2024 |
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