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Psychometric validation of Young's Internet Addiction Test among Chinese undergraduate students


Citation

Wei, Zhixia and Che Hassan, Norlizah and Hassan, Siti Aishah and Ismail, Normala and Gu, Xiaoxia and Dong, Jingyi (2025) Psychometric validation of Young's Internet Addiction Test among Chinese undergraduate students. PLoS ONE, 20. art. no. e0320641. pp. 1-18. ISSN 1932-6203

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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Official URL or Download Paper: https://dx.plos.org/10.1371/journal.pone.0320641

Additional Metadata

Item Type: Article
Subject: Multidisciplinary
Divisions: Faculty of Educational Studies
DOI Number: https://doi.org/10.1371/journal.pone.0320641
Publisher: Public Library of Science
Keywords: Internet Addiction; Young's Internet Addiction Test (IAT); Psychometric Validation; Chinese Undergraduate Students; Exploratory Factor Analysis (EFA); Confirmatory Factor Analysis (CFA); Reliability; Factor Structure; Prevalence; Mental Health
Sustainable Development Goals (SDGs): SDG 3: Good Health and Well-being, SDG 4: Quality Education, SDG 10: Reduced Inequalities
Depositing User: MS. HADIZAH NORDIN
Date Deposited: 21 Apr 2026 01:03
Last Modified: 21 Apr 2026 01:03
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1371/journal.pone.0320641
URI: http://psasir.upm.edu.my/id/eprint/124631
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