Powered by OpenAIRE graph
Found an issue? Give us feedback
addClaim

Matching Functionally Same Relations: Implications for Equivalence-Equivalence As a Model for Analogical Reasoning

Authors: Franck Carpentier; Paul M. Smeets; Dermot Barnes-Holmes;

Matching Functionally Same Relations: Implications for Equivalence-Equivalence As a Model for Analogical Reasoning

Abstract

Adults, 9-year-old children, and 5-year-old children were trained on multiple A-B and A-C matching tasks. Then they received a series of tests, first symmetry (B-A, C-A), then equivalence (B-C, C-B), and finally equivalence-equivalence tests (BC-BC). The latter tests assessed whether the subjects matched BC compounds with equivalent elements with one another and BC compounds with nonequivalent elements with one another; for example, B1C1-B3C3 (equivalence-equivalence) and B1C2-B2C3 (nonequivalence-nonequivalence). Most adults and 9-year-old children demonstrated equivalence-equivalence and nonequivalence-nonequivalence (Experiments 1 and 2). These performances were not seen with any of the 5-year-old children (Experiments 1 - 3) without first having the opportunity to match compounds with trained correct relations between elements (e.g., A1B1-A3B3) and compounds with trained incorrect relations between elements (e.g., A3C1-A3C2) (baseline-baseline, Experiment 4). Present findings suggest a developmental divide similar to that reported in earlier developmental research on analogical reasoning for which equivalence-equivalence has been used as a model. Yet, they should be taken only as tentative. Although equivalence-equivalence and classical analogies (a:b::c:?) require subjects to match functionally same relations, the procedures for measuring equivalence-equivalence are suffiently different from those used in classical analogy tests, not to permit any direct comparisons.

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    32
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
32
Top 10%
Top 10%
Top 10%
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!