IDEAS home Printed from https://ideas.repec.org/a/dbk/datame/v2y2023ip91id1056294dm202391.html
   My bibliography  Save this article

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

Author

Listed:
  • Jonathan Martínez Líbano
  • Nicole González Campusano
  • Javiera Pereira Castillo
  • Juan Carlos Oyanedel
  • María Mercedes Yeomans Cabrera

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

Suggested Citation

Handle: RePEc:dbk:datame:v:2:y:2023:i::p:91:id:1056294dm202391
DOI: 10.56294/dm202391
as

Download full text from publisher

To our knowledge, this item is not available for download. To find whether it is available, there are three options:
1. Check below whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a
for a similarly titled item that would be available.

More about this item

Statistics

Access and download statistics

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:dbk:datame:v:2:y:2023:i::p:91:id:1056294dm202391. See general information about how to correct material in RePEc.

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

We have no bibliographic references for this item. You can help adding them by using this form .

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Javier Gonzalez-Argote (email available below). General contact details of provider: https://dm.ageditor.ar/ .

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.