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Short version of the smartphone addiction scale: Measurement invariance across gender
The Smartphone Addiction Scale Short Version (SAS-SV) has been widely used in research, but little is known about the measurement invariance across gender. The current study measured SAS-SV invariance between male and female college students in a sample of 1112 participants. Single- and multiple-gro...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10032492/ https://www.ncbi.nlm.nih.gov/pubmed/36947534 http://dx.doi.org/10.1371/journal.pone.0283256 |
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author | Yue, Heng Yue, Xiwen Liu, Bo Li, Xueshan Dong, Yaohua Bao, Hugejiletu |
author_facet | Yue, Heng Yue, Xiwen Liu, Bo Li, Xueshan Dong, Yaohua Bao, Hugejiletu |
author_sort | Yue, Heng |
collection | PubMed |
description | The Smartphone Addiction Scale Short Version (SAS-SV) has been widely used in research, but little is known about the measurement invariance across gender. The current study measured SAS-SV invariance between male and female college students in a sample of 1112 participants. Single- and multiple-group confirmatory factor analyses (CFAs) of smartphone addiction symptom ratings were conducted using R program with RStudio. SAS-SV was psychometrically robust in measuring the severity of smartphone addiction among college students, as well as the gender-based invariance. The differences in SAS-SV between male and female participants were likely to represent true gender differences, and meaningful comparisons could be made. |
format | Online Article Text |
id | pubmed-10032492 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-100324922023-03-23 Short version of the smartphone addiction scale: Measurement invariance across gender Yue, Heng Yue, Xiwen Liu, Bo Li, Xueshan Dong, Yaohua Bao, Hugejiletu PLoS One Research Article The Smartphone Addiction Scale Short Version (SAS-SV) has been widely used in research, but little is known about the measurement invariance across gender. The current study measured SAS-SV invariance between male and female college students in a sample of 1112 participants. Single- and multiple-group confirmatory factor analyses (CFAs) of smartphone addiction symptom ratings were conducted using R program with RStudio. SAS-SV was psychometrically robust in measuring the severity of smartphone addiction among college students, as well as the gender-based invariance. The differences in SAS-SV between male and female participants were likely to represent true gender differences, and meaningful comparisons could be made. Public Library of Science 2023-03-22 /pmc/articles/PMC10032492/ /pubmed/36947534 http://dx.doi.org/10.1371/journal.pone.0283256 Text en © 2023 Yue et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Yue, Heng Yue, Xiwen Liu, Bo Li, Xueshan Dong, Yaohua Bao, Hugejiletu Short version of the smartphone addiction scale: Measurement invariance across gender |
title | Short version of the smartphone addiction scale: Measurement invariance across gender |
title_full | Short version of the smartphone addiction scale: Measurement invariance across gender |
title_fullStr | Short version of the smartphone addiction scale: Measurement invariance across gender |
title_full_unstemmed | Short version of the smartphone addiction scale: Measurement invariance across gender |
title_short | Short version of the smartphone addiction scale: Measurement invariance across gender |
title_sort | short version of the smartphone addiction scale: measurement invariance across gender |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10032492/ https://www.ncbi.nlm.nih.gov/pubmed/36947534 http://dx.doi.org/10.1371/journal.pone.0283256 |
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