ArticleBMC public health2022
Psychometric property and measurement invariance of internet addiction test: the effect of socio-demographic and internet use variables.
Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Light Therapy Alleviates Addiction-Related Symptoms and Reshapes Habenula and Midbrain Pathways.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Trial
- Revised Chinese resident health literacy scale for the older adults in China: simplified version and initial validity testing.Frontiers in public health · 2023Trial
- The association between parents' marital status, problematic internet use, and negative emotions among Chinese adolescents: a cross-lagged panel network analysis.BMC public health · 2026Article
- The effect of bullying victimization on internet addiction: mediated by cyberbullying perpetration and moderated by social support.BMC public health · 2025Article
- Depression and anxiety symptoms associated with internet addiction and non-suicidal self-injury in Chinese adolescent students - a network analysis.BMC psychiatry · 2025Article
- The Longitudinal Effect of Psychological Distress on Internet Addiction Symptoms Among Chinese College Students: Cross-Lagged Panel Network Analysis.Journal of medical Internet research · 2025Article
- The relationship between Internet addiction and academic burnout in undergraduates: a chain mediation model.BMC public health · 2025Article
- Psychometric validation of Young's Internet Addiction Test among Chinese undergraduate students.PloS one · 2025Article
- Rasch Analysis of Cannabis Use Disorder in an Adult Inpatient Sample.Cannabis (Albuquerque, N.M.) · 2025Article
- Internet interventions and therapies for addressing the negative impact of digital overuse: a focus on digital free tourism and economic sustainability.BMC public health · 2024Article
- The Impact of Long-Term Online Learning on Internet Addiction Symptoms among Depressed Secondary School Students: Insights from a Cross-Panel Network Analysis.Behavioral sciences (Basel, Switzerland) · 2023Article
- Clinical Usefulness of a Short Version of the Internet Addiction Test to Screen for Probable Internet Addiction in Adolescents with Autism Spectrum Disorder.International journal of environmental research and public health · 2023Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAccording to the validation literature on items of Young's Internet Addiction Test (IAT), this study rephrased disputable items to improve the psychometric properties of this Chinese version of IAT and identify the presence of differential item function (DIF) among demographic and Internet use factors; detect the effect of demographic and Internet use factors on IAT after adjusting for DIF.
methodsAn online questionnaire was distributed to college students in Zhe Jiang province in two stage. The 1st phase study collected 384 valid responses to examine the quality of IAT items by using Rasch Model analysis and exploring factor analysis (EFA). The online questionnaire was modified according to the 1st phase study and distributed online for the 2nd phase study which collected a total of 1131 valid responses. The 2nd phase study applied confirmatory factor analysis (CFA) and a multiple indicator multiple causes (MIMIC) model to verify the construct of IAT, potential effect of covariates on IAT latent factors, as well as the effect of differential item functioning (DIF).
resultsRasch model analysis in the 1st phase study indicated a 5-point rating scale was performed better, no sever misfit was found on item. The overall property of Chinese version IAT with the 5-point scale was good to excellent person and item separation (2.66 and 6.86). A three-factor model was identified by EFA. In the 2nd phase study, IAT 13 were detected with DIF for gender in MIMIC model. After correcting DIF effect, the significant demographic and Internet use factors on IAT were time spent online per day, year 3, year 2, general users.
conclusionItem improvement was efficient that the problematic items found in literature was performed good in this study. The overall psychometric property of this Chinese version IAT was good with limited DIF effect in one item. Item improvement on IAT13 was encouraged in the future study to avoid gender bias and benefit for epidemiology on PIU.
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