The Social Media Disorder Scale

By R. J. Eijnden, Jeroen S. Lemmens, Patti M. Valkenburg. Computers in Human Behavior, 2016

833 citations recorded by the source corpus.

There is growing evidence that social media addiction is an evolving problem, particularly among adolescents. However, the absence of an instrument measuring social media addiction hinders further development of the research field. The present study, therefore, aimed to test the reliability and validity of a short and easy to administer Social Media Disorder (SMD) Scale that contains a clear diagnostic cut-off point to distinguish between disordered (i.e. addicted) and high-engaging non-disordered social media users.Three online surveys were conducted among a total of 2198 Dutch adolescents aged 10 to 17. The 9-item scale showed solid structural validity, appropriate internal consistency, good convergent and criterion validity, sufficient test-retest reliability, and satisfactory sensitivity and specificity. In sum, this study generated evidence that the short 9-item scale is a psychometrically sound and valid instruments to measure SMD. The 9-item Social Media Disorder (SMD) Scale is a psychometrically sound instrument.The development of the 9-item SMD-scale was based on the 9 DSM-5 criteria for IGD.The 9-item SMD-scale shows appropriate internal consistency and test-retest reliability.The 9-item SMD-scale demonstrates good convergent and criterion validity.The 9-item SMD-scale shows adequate sensitivity and good specificity.

Subfields: Communication, Education, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/4b927b747422740fbfff825e39d0fc56f2a8c0f4

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Communication

  1. F. Aysan
  2. Linnea Laestadius
  3. M. Savci

In Education

  1. F. Aysan
  2. M. Savci

In Sociology and Political Science

  1. F. Aysan
  2. Linnea Laestadius
  3. M. Savci

Citations in the corpus