Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Psychometric evaluation of the Persian Internet Disorder Scale among adolescents.
Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hung Hom, Hong Kong.
Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
International Gaming Research Unit, Psychology Department, Nottingham Trent University, Nottingham, UK.
Tuberculosis and Lung Diseases Research Center, Tabriz University of Medical Sciences, Tabriz, East Azerbaijan, Iran.
Show others and affiliations
2018 (English)In: Journal of Behavioral Addictions, ISSN 2062-5871, E-ISSN 2063-5303, Vol. 7, no 3, p. 665-675Article in journal (Refereed) Published
Abstract [en]

BACKGROUND AND AIMS: Given the growing epidemiological research interest concerning Internet addiction, brief instruments with a robust theoretical basis are warranted. The Internet Disorder Scale (IDS-15) is one such instrument that can be used to quickly assess the Internet addiction in an individual. However, only two language versions of the IDS-15 have been developed. This study translated the IDS-15 into Persian and examined its psychometric properties using comprehensive psychometric testing.

METHODS: After ensuring the linguistic validity of the Persian IDS-15, 1,272 adolescents (mean age = 15.53 years; 728 males) completed the IDS-15, Depression Anxiety Stress Scale (DASS), Internet Gaming Disorder Scale - Short Form (IGDS9-SF), and the Bergen Social Media Addiction Scale (BSMAS). Confirmatory factor analysis (CFA), Rasch models, regression analysis, and latent profile analysis (LPA) were carried out to test the psychometric properties of the Persian IDS-15.

RESULTS: Both CFA and Rasch supported the construct validity of the Persian IDS-15. Multigroup analysis in CFA and differential item functioning in Rasch indicated that male and female adolescents interpreted the IDS-15 items similarly. Regression analysis showed that the IDS-15 correlated with IGDS9-SF and BSMAS (ΔR2 = .12 and .36, respectively) is stronger than the DASS (ΔR2 = .03-.05). LPA based on IDS-15 suggests three subgroups for the sample. Significant differences in depression, anxiety, IGDS9-SF, and BSMAS were found among the three LPA subgroups.

CONCLUSION: The Persian IDS-15 has robust psychometric properties as evidenced by both classical test theory and Rasch analysis.

Place, publisher, year, edition, pages
Akademiai Kiado, 2018. Vol. 7, no 3, p. 665-675
Keywords [en]
Internet, Internet Disorder Scale, Internet addiction, Persian, addiction
National Category
Psychiatry Psychology (excluding Applied Psychology)
Identifiers
URN: urn:nbn:se:hj:diva-41872DOI: 10.1556/2006.7.2018.88ISI: 000446106300023PubMedID: 30264609Scopus ID: 2-s2.0-85054054395Local ID: HHJÖvrigtISOAI: oai:DiVA.org:hj-41872DiVA, id: diva2:1257394
Available from: 2018-10-19 Created: 2018-10-19 Last updated: 2018-10-19Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textPubMedScopus

Authority records

Broström, AndersPakpour, Amir H.

Search in DiVA

By author/editor
Broström, AndersPakpour, Amir H.
By organisation
HHJ, Dep. of Nursing ScienceHHJ. ADULT
In the same journal
Journal of Behavioral Addictions
PsychiatryPsychology (excluding Applied Psychology)

Search outside of DiVA

GoogleGoogle Scholar

doi
pubmed
urn-nbn

Altmetric score

doi
pubmed
urn-nbn
Total: 234 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf