ArticlePloS one2025
Psychometric validation of Young's Internet Addiction Test among Chinese undergraduate students.
Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Psychological determinants and coping mechanisms associated with internet addiction disorder among university students in Bhubaneswar, India.Indian journal of psychiatry · 2026Article
- Association between behavioral addiction and psychological disorders among medical students in Egypt, Sudan, and Libya: a cross-sectional study.Scientific reports · 2026Article
- Validation and Reliability of the Spanish Internet Addiction Test-7 (IAT-7) for Adolescents.European journal of investigation in health, psychology and education · 2026Article
- Cross-lagged analysis of depression symptoms and internet addiction tendencies among first-year university students and the moderating effects of urban-rural background and sibling status.Frontiers in psychiatry · 2026Article
- Internet addiction is associated with differences in static and dynamic hippocampal functional connectivity in young adults: the mediating role of emotion regulation difficulties.Frontiers in psychiatry · 2026Article
- Excessive short-form video use is associated with increased risk-taking but not with altered ambiguity-based decision-making.BMC psychology · 2025Article
- From lonely to addicted: exploring sex differences in the effect of online social support among university students in Hong Kong.Frontiers in psychology · 2025Article
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Authors and funding
6 authors.
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Abstract
The global prevalence of internet addiction is escalating annually and uncontrollable use of the internet can cause significant physical and psychological damage. Young's Internet Addiction Test (IAT), widely utilized across diverse cultures, has demonstrated structural inconsistencies in previous research, with some items requiring refinement. This study aimed to validate the IAT among Chinese undergraduate students and assess its psychometric properties. The IAT's structure was initially explored through Exploratory Factor Analysis (EFA) using pilot study data (n=376), with internal consistency and test-retest reliability (n=96) evaluated. Subsequently, Confirmatory Factor Analysis (CFA) was conducted using data from the actual study (n=1042) to confirm the structure. Results showed that a three-factor solution explained 61.29% of the total variance with a satisfactory model fit (χ2/df = 4.382, RMSEA = 0.057, CFI = 0.952, TLI = 0.943, SRMR = 0.045, AIC = 798.755) and psychometric properties, validating the IAT's utility for future investigations of internet addiction in Chinese undergraduates. Notably, a high prevalence of moderate internet addiction was observed within the sample, highlighting the significance of this issue in the target population and emphasizing the need for further research and potential interventions.
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