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Fluid Intelligence Is (Much) More than Working Memory Capacity: An Experimental Analysis

Hagemann, Dirk; Ihmels, Max; Bast, Nico; Neubauer, Andreas B.; Schankin, Andrea 1; Schubert, Anna-Lena
1 Fakultät für Informatik (INFORMATIK), Karlsruher Institut für Technologie (KIT)

Abstract:

Empirical evidence suggests a great positive association between measures of fluid intelligence and working memory capacity, which implied to some researchers that fluid intelligence is little more than working memory. Because this conclusion is mostly based on correlation analysis, a causal relationship between fluid intelligence and working memory has not yet been established. The aim of the present study was therefore to provide an experimental analysis of this relationship. In a first study, 60 participants worked on items of the Advanced Progressive Matrices (APM) while simultaneously engaging in one of four secondary tasks to load specific components of the working memory system. There was a diminishing effect of loading the central executive on the APM performance, which could explain 15% of the variance in the APM score. In a second study, we used the same experimental manipulations but replaced the dependent variable with complex working memory span tasks from three different domains. There was also a diminishing effect of the experimental manipulation on span task performance, which could now explain 40% of the variance. These findings suggest a causal effect of working memory functioning on fluid intelligence test performance, but they also imply that factors other than working memory functioning must contribute to fluid intelligence.


Verlagsausgabe §
DOI: 10.5445/IR/1000158608
Veröffentlicht am 31.05.2023
Originalveröffentlichung
DOI: 10.3390/jintelligence11040070
Scopus
Zitationen: 2
Dimensions
Zitationen: 2
Cover der Publikation
Zugehörige Institution(en) am KIT Fakultät für Informatik (INFORMATIK)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2023
Sprache Englisch
Identifikator ISSN: 2079-3200
KITopen-ID: 1000158608
Erschienen in Journal of Intelligence
Verlag MDPI
Band 11
Heft 4
Seiten 70
Vorab online veröffentlicht am 06.04.2023
Nachgewiesen in Web of Science
Dimensions
Scopus
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