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Validation of the Social Media Disorder Scale using network analysis in a large representative sample of Czech adolescents
N. Šablatúrová, K. Rečka, L. Blinka
Jazyk angličtina Země Švýcarsko
Typ dokumentu časopisecké články
NLK
Directory of Open Access Journals
od 2013
Free Medical Journals
od 2013
PubMed Central
od 2013
Europe PubMed Central
od 2013
Open Access Digital Library
od 2013-01-01
Open Access Digital Library
od 2013-01-01
ROAD: Directory of Open Access Scholarly Resources
od 2013
- MeSH
- dítě MeSH
- faktorová analýza statistická MeSH
- lidé MeSH
- mladiství MeSH
- průzkumy a dotazníky MeSH
- psychometrie MeSH
- sociální média * MeSH
- Check Tag
- dítě MeSH
- lidé MeSH
- mladiství MeSH
- mužské pohlaví MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- Geografické názvy
- Česká republika MeSH
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.
Citace poskytuje Crossref.org
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