NDLI: Why is working memory capacity related to matrix reasoning tasks?

Content Provider	Springer Nature Link
Author	Harrison, Tyler L. Shipstead, Zach Engle, Randall W.
Copyright Year	2014
Abstract	One of the reasons why working memory capacity is so widely researched is its substantial relationship with fluid intelligence. Although this relationship has been found in numerous studies, researchers have been unable to provide a conclusive answer as to why the two constructs are related. In a recent study, researchers examined which attributes of Raven’s Progressive Matrices were most strongly linked with working memory capacity (Wiley, Jarosz, Cushen, & Colflesh, Journal of Experimental Psychology: Learning, Memory, and Cognition, 37, 256–263, 2011). In that study, Raven’s problems that required a novel combination of rules to solve were more strongly correlated with working memory capacity than were problems that did not. In the present study, we wanted to conceptually replicate the Wiley et al. results while controlling for a few potential confounds. Thus, we experimentally manipulated whether a problem required a novel combination of rules and found that repeated-rule-combination problems were more strongly related to working memory capacity than were novel-rule-combination problems. The relationship to other measures of fluid intelligence did not change based on whether the problem required a novel rule combination.
Starting Page	389
Ending Page	396
Page Count	8
File Format	PDF
ISSN	0090502X
Journal	Memory & Cognition
Volume Number	43
Issue Number	3
e-ISSN	15325946
Language	English
Publisher	Springer US
Publisher Date	2014-10-21
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Working memory Intelligence Cognitive Psychology
Content Type	Text
Resource Type	Article
Subject	Experimental and Cognitive Psychology Arts and Humanities Medicine Neuropsychology and Physiological Psychology

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