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Validation and evaluation of the psychometric properties of bangla nine-item Internet Disorder Scale-Short Form.

Md Saiful IslamMd Estiar RahmanMst Sabrina MoonajilinMark D Griffiths
Published in: Journal of addictive diseases (2020)
Online activities such as online gaming and social media use have become very popular and for most individuals, engagement in such activities is highly enjoyable. However, for a small minority of individuals, such behaviors can lead to problematic internet use. There are many screening instruments that assess problematic internet use including the nine-item Internet Disorder Scale-Short-Form (IDS9-SF). The present study translated the IDS9-SF into Bangla and investigated its psychometric properties. The sample comprised 534 adolescents aged 13 to 18 years (61.0% male; mean age 15.7 years (SD = 1.5) from selected schools (secondary and higher secondary) in Dhaka City. The study included confirmatory factor analysis, Cronbach's alpha, and item-total correlation. Results demonstrated that the Bangla IDS9-SF had very good internal validity (Cronbach's alpha = .82), and that IDS score was positively and significantly correlated with scores on depression and anxiety scales. A confirmatory factor analysis showed the model had an excellent fit to the data. Therefore, the Bangla IDS9-SF appears to be a valid and reliable instrument that may be employed in further research on problematic internet use in Bangladesh.
Keyphrases
  • psychometric properties
  • health information
  • social media
  • young adults
  • physical activity
  • mass spectrometry
  • machine learning
  • artificial intelligence
  • deep learning
  • high speed