Skip to search boxSkip to navigationSkip to main content

Short Version of the Social Networks Addiction Risk Questionnaire (CARS-R): Theoretical and Psychometric Review of the Questionnaire

  • Lindsey W. Vilca(corresponding author)
    ,
  • Jessica Aranda-Turpo
    ,
  • Carla Dávila-Valencia
    ,
  • Emily Lupaca-Huarac
    ,
  • Aaron Travezaño-Cabrera
    ,
*Corresponding author for this work
  • Universidad Privada Norbert Wiener
    ,
  • Universidad Peruana Union
    ,
Research Output:
Contribution to journal
Article
Peer-review

Publication Information

Output type

Research Output:
Contribution to journal
Article
Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 474-495 (22 pages)

Journal (Volume, Issue Number)

International Journal of Mental Health and Addiction (Volume 23, Issue 1)

Publication milestones

  • Published - 02/2025

Publication status

Published - 02/2025

ISSN

1557-1874

Publication IDs

  • Scopus: 105001071563
  • Scopus: 85165612477

Abstract

The study aims to develop and show the psychometric properties of the Short Version of the Social Networks Addiction Risk Questionnaire. For this purpose, two samples were collected; the first sample comprised 367 adults of both sexes (24.8% male and 75.2% female) between 18 and 43. The second sample consisted of 1,719 adults of both sexes (38.3% male and 61.7% female) between 18 and 59. The Coronavirus Anxiety Scale (CAS) was applied along with the brief questionnaire. In the first sample, a brief questionnaire consisting of nine items representing the nine criteria adapted from the DSM-5 and ICD-11 was developed. The one-dimensional model showed adequate fit indices. In the second sample, the one-dimensional model continued to present adequate fit indices (χ2 = 216.29; df = 27; RMSEA =.064 [IC90%.056 –.072]; CFI =.99; TLI =.99). From the IRT perspective, the nine items present adequate discrimination and difficulty indices. The scale also demonstrated evidence of being strictly invariant for all specific groups. Finally, it was found that addiction to social networks significantly predicts the level of anxiety associated with COVID-19. It is concluded that CARS-R is a helpful tool that allows obtaining valid and reliable interpretations about addiction to social networks.

Publication metrics

Metrics

Scopus
Citations

Sustainable Development Goals

  • SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well