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Psychophysiological factors as predictors of second language writing achievement in a computer-based test
Sleep quality, personality, and cognitive load potentially increase second language writing (SLW) anxiety and subsequently affect SLW achievement. This study investigates the predictions of sleep quality, personality (social inhibition/ negative affectivity), and cognitive load (content/ computer) t...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9626855/ https://www.ncbi.nlm.nih.gov/pubmed/36337549 http://dx.doi.org/10.3389/fpsyg.2022.958938 |
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author | Lee, Shu-Ping Chang, Shujen Lee Su, Hui-Kai Cui, Zhen-Yang Lee, Shin-Da |
author_facet | Lee, Shu-Ping Chang, Shujen Lee Su, Hui-Kai Cui, Zhen-Yang Lee, Shin-Da |
author_sort | Lee, Shu-Ping |
collection | PubMed |
description | Sleep quality, personality, and cognitive load potentially increase second language writing (SLW) anxiety and subsequently affect SLW achievement. This study investigates the predictions of sleep quality, personality (social inhibition/ negative affectivity), and cognitive load (content/ computer) toward SLW anxiety and achievement in a computer-based test. Participants included 172 voluntary undergraduates majoring in English as foreign language. SLW anxiety in a computer-based test, sleep disturbance, personality and cognitive load was assessed with the SLW Anxiety Inventory, Pittsburg Sleep Quality Index, Type-D Personality, and cognitive load questionnaires. A structural equation modeling approach was applied to examine the interdependence among the observed variables. An adequate-fit SLW anxiety model was built (X(2) = 6.37, df = 6, p = 0.383, NFI = 0.97, CFI = 1.00, RMSEA = 0.02; R-squared multiple correlations: SLW anxiety in a computer-based test = 0.19, computer-based SLW achievement = 0.07). The structural model showed that sleep disturbance (+0.17), social inhibition personality (+0.31), and computer-induced cognitive load (+0.16) were significant predictors of SLW anxiety in a computer-based test. Subsequently, SLW anxiety in a computer-based test (−0.16) and computer-induced cognitive load (−0.16) were significant negative predictors of computer-based SLW achievement. |
format | Online Article Text |
id | pubmed-9626855 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-96268552022-11-03 Psychophysiological factors as predictors of second language writing achievement in a computer-based test Lee, Shu-Ping Chang, Shujen Lee Su, Hui-Kai Cui, Zhen-Yang Lee, Shin-Da Front Psychol Psychology Sleep quality, personality, and cognitive load potentially increase second language writing (SLW) anxiety and subsequently affect SLW achievement. This study investigates the predictions of sleep quality, personality (social inhibition/ negative affectivity), and cognitive load (content/ computer) toward SLW anxiety and achievement in a computer-based test. Participants included 172 voluntary undergraduates majoring in English as foreign language. SLW anxiety in a computer-based test, sleep disturbance, personality and cognitive load was assessed with the SLW Anxiety Inventory, Pittsburg Sleep Quality Index, Type-D Personality, and cognitive load questionnaires. A structural equation modeling approach was applied to examine the interdependence among the observed variables. An adequate-fit SLW anxiety model was built (X(2) = 6.37, df = 6, p = 0.383, NFI = 0.97, CFI = 1.00, RMSEA = 0.02; R-squared multiple correlations: SLW anxiety in a computer-based test = 0.19, computer-based SLW achievement = 0.07). The structural model showed that sleep disturbance (+0.17), social inhibition personality (+0.31), and computer-induced cognitive load (+0.16) were significant predictors of SLW anxiety in a computer-based test. Subsequently, SLW anxiety in a computer-based test (−0.16) and computer-induced cognitive load (−0.16) were significant negative predictors of computer-based SLW achievement. Frontiers Media S.A. 2022-10-19 /pmc/articles/PMC9626855/ /pubmed/36337549 http://dx.doi.org/10.3389/fpsyg.2022.958938 Text en Copyright © 2022 Lee, Chang, Su, Cui and Lee. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Psychology Lee, Shu-Ping Chang, Shujen Lee Su, Hui-Kai Cui, Zhen-Yang Lee, Shin-Da Psychophysiological factors as predictors of second language writing achievement in a computer-based test |
title | Psychophysiological factors as predictors of second language writing achievement in a computer-based test |
title_full | Psychophysiological factors as predictors of second language writing achievement in a computer-based test |
title_fullStr | Psychophysiological factors as predictors of second language writing achievement in a computer-based test |
title_full_unstemmed | Psychophysiological factors as predictors of second language writing achievement in a computer-based test |
title_short | Psychophysiological factors as predictors of second language writing achievement in a computer-based test |
title_sort | psychophysiological factors as predictors of second language writing achievement in a computer-based test |
topic | Psychology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9626855/ https://www.ncbi.nlm.nih.gov/pubmed/36337549 http://dx.doi.org/10.3389/fpsyg.2022.958938 |
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