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Capacity, Control, or Both – Which Aspects of Working Memory Contribute to Children’s General Fluid Intelligence?

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Nęcka E., Lulewicz A.
Polish Psychological Bulletin
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2016
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vol. 47
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issue 1
21-28
EN
Starting from the assumption that working memory capacity is an important predictor of general fluid intelligence, we asked which aspects of working memory account for this relationship. Two theoretical stances are discussed. The first one posits that the important explanatory factor is storage capacity, roughly defined as the number of chunks possible to hold in the focus of attention. The second one claims that intelligence is explained by the efficiency of executive control, for instance, by prepotent response inhibition. We investigated 96 children at the age between 10 and 13. They completed a version of the n-back task that allows assessment of both storage capacity and inhibitory control. They also completed Raven’s Progressive Matrices as the fluid intelligence test and the Test for Creative Thinking - Drawing Production, for control purposes. We found that Raven’s scores correlated negatively with the number of unnecessary responses to irrelevant stimuli but they did not correlate with the number of signal detections. We conclude that children’s fluid intelligence depends on inhibitory control, with no relationship with storage capacity.
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Can we measure working memory via the Internet? The reliability and factorial validity of an online n-back task

88%
Kulikowski K., Potasz-Kulikowska K.
Polish Psychological Bulletin
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2016
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vol. 47
|
issue 1
51-61
EN
The aim of this study was to check whether an online n-back task conducted in the uncontrolled environment of the Internet can yield valid and reliable data. For this purpose, 169 participants completed an online n-back task with n1, n2 and n3 blocks on their home computers. The results have shown acceptable reliability for overall accuracy and reaction time indices across n1, n2, n3 blocks, as well as for reaction time indices for each n block. Unacceptable reliability has been found for separate n levels accuracy indices and for response bias indices. Confirmatory factor analysis has revealed that, among 8 proposed measurement models, the best fit for the data collected is a model with two uncorrelated factors: accuracy consisting of n1, n2, n3 indices and reaction time consisting of n2, n3 indices. The results of this study have demonstrated for the first time that a reliable administration of online n-back task is possible and may therefore give rise to new opportunities for working memory research.
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