The latent structure of working memory: A large sample factor model of working memory capacity.
Working memory (WM) is an essential system of cognitive processes for a wide range of cognitive activities and is associated with diverse real-world outcomes. Despite extensive research in cognitive psychology, the complex multifaceted nature of WM is often overlooked in applied settings, such as cl...
| Publicado en: | Cognitive, Affective & Behavioral Neuroscience Vol. 25; no. 5; pp. 1378 - 1400 |
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| Autores principales: | , , , , , , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Oct2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=188240167&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 188240167 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 15307026 NA4 jtl: Cognitive, Affective & Behavioral Neuroscience issn: 15307026 maglogo: N pubinfo: dt: Oct2025 vid: 25 iid: 5 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 188240167 185617631 10.3758/s13415-025-01310-3 188240167 ppf: 1378 ppct: 22 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: The latent structure of working memory: A large sample factor model of working memory capacity. aug: au: Hao, Han Williams, John C. Tubiolo, Philip N. Bauer, Kacie Silver-Frankel, Eilon Luceno, Sam R. Chan, Avery J. Zheng, Zu Jie Bobchin, Kelly R. Kotov, Roman Perlman, Greg Conway, Andrew R. A. Van Snellenberg, Jared X. affil: https://ror.org/0263v9e25 Department of Psychological Sciences, Tarleton State University, Stephenville, TX, USA sug: ab: Working memory (WM) is an essential system of cognitive processes for a wide range of cognitive activities and is associated with diverse real-world outcomes. Despite extensive research in cognitive psychology, the complex multifaceted nature of WM is often overlooked in applied settings, such as clinical and neuroimaging research. This study investigated the latent structure of WM by examining a comprehensive set of WM tasks commonly used in both theoretical and applied research in cognitive psychology and psychiatric neuroimaging. A large sample of healthy, young adults (N = 608) completed a battery of WM tasks and other cognitive measures. Factor analyses and structural equation models revealed a three-factor structure: Storage, Executive Attention, and Updating. These factors were moderately correlated but contributed uniquely to explaining variance in intelligence measures. Furthermore, when the three factors were considered in a single model, only the Updating and Executive Attention factors had unique shared variance with intelligence. The findings support that WM is a multifaceted construct, with complex span and n-back tasks capturing important and distinct components related to real-world cognitive performance. This highlights the need for precise selection of measurement tools for WM in both theoretical and applied research contexts. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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