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The Structure of Working Memory and Its Relationship with Intelligence in Japanese Children

There is a host of research on the structure of working memory (WM) and its relationship with intelligence in adults, but only a few studies have involved children. In this paper, several different WM models were tested on 170 Japanese school children (from 7 years and 5 months to 11 years and 6 mon...

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Autores principales: Ikeda, Yoshifumi, Kita, Yosuke, Oi, Yuhei, Okuzumi, Hideyuki, Lanfranchi, Silvia, Pulina, Francesca, Mammarella, Irene Cristina, Allen, Katie, Giofrè, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10455765/
https://www.ncbi.nlm.nih.gov/pubmed/37623550
http://dx.doi.org/10.3390/jintelligence11080167
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author Ikeda, Yoshifumi
Kita, Yosuke
Oi, Yuhei
Okuzumi, Hideyuki
Lanfranchi, Silvia
Pulina, Francesca
Mammarella, Irene Cristina
Allen, Katie
Giofrè, David
author_facet Ikeda, Yoshifumi
Kita, Yosuke
Oi, Yuhei
Okuzumi, Hideyuki
Lanfranchi, Silvia
Pulina, Francesca
Mammarella, Irene Cristina
Allen, Katie
Giofrè, David
author_sort Ikeda, Yoshifumi
collection PubMed
description There is a host of research on the structure of working memory (WM) and its relationship with intelligence in adults, but only a few studies have involved children. In this paper, several different WM models were tested on 170 Japanese school children (from 7 years and 5 months to 11 years and 6 months). Results showed that a model distinguishing between modalities (i.e., verbal and spatial WM) fitted the data well and was therefore selected. Notably, a bi-factor model distinguishing between modalities, but also including a common WM factor, presented with a very good fit, but was less parsimonious. Subsequently, we tested the predictive power of the verbal and spatial WM factors on fluid and crystallized intelligence. Results indicated that the shared contribution of WM explained the largest portion of variance of fluid intelligence, with verbal and spatial WM independently explaining a residual portion of the variance. Concerning crystallized intelligence, however, verbal WM explained the largest portion of the variance, with the joint contribution of verbal and spatial WM explaining the residual part. The distinction between verbal and spatial WM could be important in clinical settings (e.g., children with atypical development might struggle selectively on some WM components) and in school settings (e.g., verbal and spatial WM might be differently implicated in mathematical achievement).
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spelling pubmed-104557652023-08-26 The Structure of Working Memory and Its Relationship with Intelligence in Japanese Children Ikeda, Yoshifumi Kita, Yosuke Oi, Yuhei Okuzumi, Hideyuki Lanfranchi, Silvia Pulina, Francesca Mammarella, Irene Cristina Allen, Katie Giofrè, David J Intell Article There is a host of research on the structure of working memory (WM) and its relationship with intelligence in adults, but only a few studies have involved children. In this paper, several different WM models were tested on 170 Japanese school children (from 7 years and 5 months to 11 years and 6 months). Results showed that a model distinguishing between modalities (i.e., verbal and spatial WM) fitted the data well and was therefore selected. Notably, a bi-factor model distinguishing between modalities, but also including a common WM factor, presented with a very good fit, but was less parsimonious. Subsequently, we tested the predictive power of the verbal and spatial WM factors on fluid and crystallized intelligence. Results indicated that the shared contribution of WM explained the largest portion of variance of fluid intelligence, with verbal and spatial WM independently explaining a residual portion of the variance. Concerning crystallized intelligence, however, verbal WM explained the largest portion of the variance, with the joint contribution of verbal and spatial WM explaining the residual part. The distinction between verbal and spatial WM could be important in clinical settings (e.g., children with atypical development might struggle selectively on some WM components) and in school settings (e.g., verbal and spatial WM might be differently implicated in mathematical achievement). MDPI 2023-08-18 /pmc/articles/PMC10455765/ /pubmed/37623550 http://dx.doi.org/10.3390/jintelligence11080167 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Ikeda, Yoshifumi
Kita, Yosuke
Oi, Yuhei
Okuzumi, Hideyuki
Lanfranchi, Silvia
Pulina, Francesca
Mammarella, Irene Cristina
Allen, Katie
Giofrè, David
The Structure of Working Memory and Its Relationship with Intelligence in Japanese Children
title The Structure of Working Memory and Its Relationship with Intelligence in Japanese Children
title_full The Structure of Working Memory and Its Relationship with Intelligence in Japanese Children
title_fullStr The Structure of Working Memory and Its Relationship with Intelligence in Japanese Children
title_full_unstemmed The Structure of Working Memory and Its Relationship with Intelligence in Japanese Children
title_short The Structure of Working Memory and Its Relationship with Intelligence in Japanese Children
title_sort structure of working memory and its relationship with intelligence in japanese children
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10455765/
https://www.ncbi.nlm.nih.gov/pubmed/37623550
http://dx.doi.org/10.3390/jintelligence11080167
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