Psychometric Properties of the Social Media Addiction Scale (SMAS) on Chilean University Students

Jonathan Martínez Líbano, Nicole González Campusano, Javiera Pereira Castillo, Juan Carlos Oyanedel and María Mercedes Yeomans Cabrera

Data and Metadata, 2023, vol. 2, 91

Abstract: Introduction: the use and abuse of social networks are harming the mental health of university students. Objective: to adapt and validate the Social Media Addiction Scale (SMAS) for the Chilean context to have a reliable instrument to measure addiction to social networks. The sample comprised 686 university students (mean age=28,04, SD=8,4), 71,1 % female, 28,4 % male, and 0,5 % other genders. Methods: confirmatory factor analysis (CFA) using the weighted least squares means and variances method (WLSMV) was used for this study. Results: reliability was Cronbach's alpha α=0,841. The SMAS yielded two factors that explained 53,433 % of the variance. The CFA yielded very good fit indicators such as CFI=0,959, TLI=0,949, and RMSEA=0,060. Conclusions: based on the results described above, we can affirm that the SMAS is a good instrument to measure social network addiction in college students

Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:dbk:datame:v:2:y:2023:i::p:91:id:1056294dm202391

DOI: 10.56294/dm202391

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