Literature DB >> 21244117

New rule use drives the relation between working memory capacity and Raven's Advanced Progressive Matrices.

Jennifer Wiley1, Andrew F Jarosz, Patrick J Cushen, Gregory J H Colflesh.   

Abstract

The correlation between individual differences in working memory capacity and performance on the Raven's Advanced Progressive Matrices (RAPM) is well documented yet poorly understood. The present work proposes a new explanation: that the need to use a new combination of rules on RAPM problems drives the relation between performance and working memory capacity scores. Evidence for this account is supported by an item-based analysis of performance during standard administration of the RAPM and an experiment that manipulates the need to use new rule combinations across 2 subsets of RAPM items. (PsycINFO Database Record (c) 2010 APA, all rights reserved).

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Year:  2011        PMID: 21244117     DOI: 10.1037/a0021613

Source DB:  PubMed          Journal:  J Exp Psychol Learn Mem Cogn        ISSN: 0278-7393            Impact factor:   3.051


  20 in total

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6.  Individual differences in learning and transfer: stable tendencies for learning exemplars versus abstracting rules.

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7.  Predicting performance on the Raven's Matrices: The roles of associative learning and retrieval efficiency.

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8.  Working memory training involves learning new skills.

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9.  Working memory load-dependent changes in cortical network connectivity estimated by machine learning.

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10.  Which Tools in Multimedia Are Best for Learning Outcomes? A Study Grounded in Cognitive Load Structures.

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Journal:  Front Psychol       Date:  2021-07-02
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