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Validation of the Social Media Disorder Scale using network analysis in a large representative sample of Czech adolescents

BACKGROUND: The importance of studying the excessive use of social media in adolescents is increasing and so is the need for in-depth evaluations of the psychometric properties of the measurement tools. This study investigated the properties of the Social Media Disorder Scale (SMDS) in a large repre...

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Autores principales: Šablatúrová, Nika, Rečka, Karel, Blinka, Lukas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9441909/
https://www.ncbi.nlm.nih.gov/pubmed/36072384
http://dx.doi.org/10.3389/fpubh.2022.907522
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author Šablatúrová, Nika
Rečka, Karel
Blinka, Lukas
author_facet Šablatúrová, Nika
Rečka, Karel
Blinka, Lukas
author_sort Šablatúrová, Nika
collection PubMed
description BACKGROUND: The importance of studying the excessive use of social media in adolescents is increasing and so is the need for in-depth evaluations of the psychometric properties of the measurement tools. This study investigated the properties of the Social Media Disorder Scale (SMDS) in a large representative sample of Czech adolescents. METHODS: We analyzed the representative sample of 13,377 Czech adolescents (50.9% boys), 11–16 years old, who participated in the Health Behavior in School-aged Children (HBSC) survey (2017–18), using confirmatory factor analysis (CFA) and network models. Furthermore, we evaluated the measurement invariance and constructed the validity of the SMDS. RESULTS: We found support for a single dominant factor but not for strict unidimensionality. Several residual correlations were identified. The strongest were for: problems–conflicts–deceptions; persistence–escape; and preoccupation–tolerance–withdrawal. Girls, particularly 13- and 15-year-olds, scored higher than boys in the same age group, and 13- and 15-year-olds achieved higher scores than 11-year-olds, although some items were not invariant between the groups. The SMDS was positively related to other online activities, screen time, and falling asleep late, but negatively related to well-being and mental health. DISCUSSION AND CONCLUSIONS: The SMDS showed solid psychometric properties and construct validity. However, small violations of measurement invariance were detected. Furthermore, the network analysis showed important residual relationships between the items.
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spelling pubmed-94419092022-09-06 Validation of the Social Media Disorder Scale using network analysis in a large representative sample of Czech adolescents Šablatúrová, Nika Rečka, Karel Blinka, Lukas Front Public Health Public Health BACKGROUND: The importance of studying the excessive use of social media in adolescents is increasing and so is the need for in-depth evaluations of the psychometric properties of the measurement tools. This study investigated the properties of the Social Media Disorder Scale (SMDS) in a large representative sample of Czech adolescents. METHODS: We analyzed the representative sample of 13,377 Czech adolescents (50.9% boys), 11–16 years old, who participated in the Health Behavior in School-aged Children (HBSC) survey (2017–18), using confirmatory factor analysis (CFA) and network models. Furthermore, we evaluated the measurement invariance and constructed the validity of the SMDS. RESULTS: We found support for a single dominant factor but not for strict unidimensionality. Several residual correlations were identified. The strongest were for: problems–conflicts–deceptions; persistence–escape; and preoccupation–tolerance–withdrawal. Girls, particularly 13- and 15-year-olds, scored higher than boys in the same age group, and 13- and 15-year-olds achieved higher scores than 11-year-olds, although some items were not invariant between the groups. The SMDS was positively related to other online activities, screen time, and falling asleep late, but negatively related to well-being and mental health. DISCUSSION AND CONCLUSIONS: The SMDS showed solid psychometric properties and construct validity. However, small violations of measurement invariance were detected. Furthermore, the network analysis showed important residual relationships between the items. Frontiers Media S.A. 2022-08-22 /pmc/articles/PMC9441909/ /pubmed/36072384 http://dx.doi.org/10.3389/fpubh.2022.907522 Text en Copyright © 2022 Šablatúrová, Rečka and Blinka. 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 Public Health
Šablatúrová, Nika
Rečka, Karel
Blinka, Lukas
Validation of the Social Media Disorder Scale using network analysis in a large representative sample of Czech adolescents
title Validation of the Social Media Disorder Scale using network analysis in a large representative sample of Czech adolescents
title_full Validation of the Social Media Disorder Scale using network analysis in a large representative sample of Czech adolescents
title_fullStr Validation of the Social Media Disorder Scale using network analysis in a large representative sample of Czech adolescents
title_full_unstemmed Validation of the Social Media Disorder Scale using network analysis in a large representative sample of Czech adolescents
title_short Validation of the Social Media Disorder Scale using network analysis in a large representative sample of Czech adolescents
title_sort validation of the social media disorder scale using network analysis in a large representative sample of czech adolescents
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9441909/
https://www.ncbi.nlm.nih.gov/pubmed/36072384
http://dx.doi.org/10.3389/fpubh.2022.907522
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