Evidence map›Paper›PMID 29130330›Full record

ArticleJournal of behavioral addictions2017

Psychometric validation of the Persian Bergen Social Media Addiction Scale using classic test theory and Rasch models.

Chung-Ying Lin, Anders Broström, Per Nilsen, Mark D Griffiths, Amir H Pakpour

Abstract readValidation Study
In one paragraph

Article in Journal of behavioral addictions, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 96 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
96citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

96 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Article
  6. Psychometric evaluation of the Chinese CancerSupportSourceHealth and quality of life outcomes · 2026
    Article
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  10. Adverse Childhood Experiences and Social Media Addiction.Iranian journal of public health · 2025
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  15. Review
  16. The gaming disorder test and gaming disorder scale for adolescents: translation and validation among Vietnamese young adults.Psicologia, reflexao e critica : revista semestral do Departamento de Psicologia da UFRGS · 2024
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  18. Review
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36 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Chung-Ying Lin1 Department of Rehabilitation Sciences, The Hong Kong Polytechnic University , Hung Hom, Hong Kong.
Anders Broström2 Department of Nursing, School of Health and Welfare, Jönköping University , Jönköping, Sweden.
Per Nilsen3 Department of Medical and Health Sciences, Linköping University , Linköping, Sweden.
Mark D Griffiths4 International Gaming Research Unit, Psychology Department, Nottingham Trent University , Nottingham, United Kingdom.
Amir H Pakpour2 Department of Nursing, School of Health and Welfare, Jönköping University , Jönköping, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and aims The Bergen Social Media Addiction Scale (BSMAS), a six-item self-report scale that is a brief and effective psychometric instrument for assessing at-risk social media addiction on the Internet. However, its psychometric properties in Persian have never been examined and no studies have applied Rasch analysis for the psychometric testing. This study aimed to verify the construct validity of the Persian BSMAS using confirmatory factor analysis (CFA) and Rasch models among 2,676 Iranian adolescents. Methods In addition to construct validity, measurement invariance in CFA and differential item functioning (DIF) in Rasch analysis across gender were tested for in the Persian BSMAS. Results Both CFA [comparative fit index (CFI) = 0.993; Tucker-Lewis index (TLI) = 0.989; root mean square error of approximation (RMSEA) = 0.057; standardized root mean square residual (SRMR) = 0.039] and Rasch (infit MnSq = 0.88-1.28; outfit MnSq = 0.86-1.22) confirmed the unidimensionality of the BSMAS. Moreover, measurement invariance was supported in multigroup CFA including metric invariance (ΔCFI = -0.001; ΔSRMR = 0.003; ΔRMSEA = -0.005) and scalar invariance (ΔCFI = -0.002; ΔSRMR = 0.005; ΔRMSEA = 0.001) across gender. No item displayed DIF (DIF contrast = -0.48 to 0.24) in Rasch across gender. Conclusions Given the Persian BSMAS was unidimensional, it is concluded that the instrument can be used to assess how an adolescent is addicted to social media on the Internet. Moreover, users of the instrument may comfortably compare the sum scores of the BSMAS across gender.

Indexed as

Social MediaAdolescentAnxietyBehavior, AddictiveDepressionFactor Analysis, StatisticalFemaleHumansInternetIranMalePrevalencePsychometricsReproducibility of ResultsSex FactorsSurveys and Questionnairesadolescenceconfirmatory factor analysisdifferential item functioningmeasurement invarianceRasch analysissocial media addiction

Identifiers

PMID29130330
PMCPMC6034942

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.