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Children's Allocation of Study Time during the Solution of Raven's Progressive Matrices

Authors :
Patrick Perret
Bruno Dauvier
Centre de Recherche en Psychologie de la Connaissance, du Langage et de l'Émotion (PsyCLÉ)
Aix Marseille Université (AMU)
Source :
Journal of Intelligence, Journal of Intelligence, MDPI, 2018, 6 (1), pp.9. ⟨10.3390/jintelligence6010009⟩, Journal of Intelligence, Vol 6, Iss 1, p 9 (2018), Journal of Intelligence, MDPI, 2018, ⟨10.3390/jintelligence6010009⟩
Publication Year :
2018
Publisher :
HAL CCSD, 2018.

Abstract

International audience; The acuity of reasoning on Raven's Progressive Matrices is strongly influenced by strategic determinants. Building on metamemory studies that highlight the influence of study-time allocation on memory development, we investigated children's allocation of study time while solving these matrices. A total of 170 children aged 6-12 years completed a computerized short-form version of the standard matrices featuring items selected to represent a broad range of difficulties. Beyond analyzing changes in mean latencies and performances with age, we used generalized additive mixed models to explore within-participant variability in response times as a function of both item complexity and overall individual efficiency. Results revealed that individual differences in performances were significantly associated with children's adaptive modulation of response times. Mediation analysis further indicated that response-time modulation contributed to age-related changes in performance. Taking account of study-time allocation in reasoning tasks may open up new avenues for the study of reasoning development and the assessment of intellectual functioning.

Details

Language :
English
ISSN :
20793200
Database :
OpenAIRE
Journal :
Journal of Intelligence, Journal of Intelligence, MDPI, 2018, 6 (1), pp.9. ⟨10.3390/jintelligence6010009⟩, Journal of Intelligence, Vol 6, Iss 1, p 9 (2018), Journal of Intelligence, MDPI, 2018, ⟨10.3390/jintelligence6010009⟩
Accession number :
edsair.doi.dedup.....f4c279f20eca4bd0b5e79b944daf8906
Full Text :
https://doi.org/10.3390/jintelligence6010009⟩