Data · dataset · 2026
Raw Data for Two Experiments on Children’s Causal Learning from Correct and Incorrect Demonstrations in the Trap-Tube Paradigm
Listed in ScienceDB
Here we publish the raw datasets from two experiments investigating the effects of correct and incorrect demonstrations, as well as their order, on causal learning in 2- to 4-year-old children.
Description
The background, methods, and results of two experiments are described in the accompanying manuscript. Here is the abstract from our manuscript: Observing others’ demonstrations is an important route through which children acquire causal knowledge and develop scientific thinking.
Using the trap-tube paradigm, the present study investigated the effects of correct and incorrect demonstrations and their order on causal learning in 2-4-year-olds. Experiment 1 (N = 352) showed that 2-year-olds showed no evidence of causal learning across all demonstration types, and their performance did not differ significantly between conditions. Among 3-year-olds and 4-year-olds, performance was better overall in the mixed-demonstration conditions than in the single-demonstration conditions.
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Within mixed demonstrations, order affected only 3-year-olds, with better performance in the correct-then-incorrect condition than in the incorrect-then-correct condition. Experiment 2 (N = 365) showed that 2-year-olds did not differ significantly across demonstration types, and their performance was largely near chance, whereas 3-year-olds and 4-year-olds performed better in the mixed-demonstration conditions than in the consistent-demonstration conditions.
All children were more likely to change the side of insertion in the mixed-demonstration conditions than in the consistent-demonstration conditions. Overall, the findings suggest that mixed demonstrations support causal learning from age 3 onward, whereas evidence in 2-year-olds was weak and inconsistent.
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.28344 ↗
DOI / persistent id · from scidb cn
Catalogue records · 1
- OAI-PMH record scidb.cn/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=10.57760%2… ↗
metadata API · from scidb cn
Topics
- From keywords
- Earth & Environmental Science · Engineering · Humanities · Life Sciences · Social Science
- Inferred from text
- Linguistics 71%
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.28344 | 11 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].anzsrc:group:4704 | enrichment · scidb cn | taxonomy-embedding@1.0.0 | title+keywords+description (71%) |
| concepts[field].local:field:earth-environmental | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:engineering | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:humanities | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:social-science | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| description | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/description |
| license | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/rights |
| publication_date | source · scidb cn | connector:scidb_cn@1.0.0 | |
| title | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/title |