Psychiatric Quarterly

, Volume 86, Issue 4, pp 581–596 | Cite as

Psychometric Validation of the Chinese Compulsive Internet Use Scale (CIUS) with Taiwanese High School Adolescents

  • Amandeep DhirEmail author
  • Sufen Chen
  • Marko Nieminen
Original Paper


The recent development of internet infrastructure has fuelled a popular concern that young Asian internet users are experiencing Internet addiction due to excessive Internet use. In order to understand the phenomenon, psychometric validation of a 14-item Compulsive Internet Use Scale (CIUS), with 417 Chinese adolescents has been performed. Compared to other instruments for use with Chinese populations, e.g. the 20-item Internet Addiction Test (IAT) and the 26-item Chen Internet Addiction Scale, the CIUS is relatively concise, and easy to use for measuring and diagnosing Internet addiction. The present psychometric validation has found good factorial stability with a one-factor solution for the CIUS. The internal consistency and model fit indices were very good, and even better than any previous CIUS validations. The Chinese CIUS is a valid and reliable self-reporting instrument for examining compulsive Internet use among Chinese adolescents. Other findings included: male adolescents tend to experience more compulsive Internet use than their female counterparts, and CIUS scores were positively correlated with the daily Internet use time and negatively correlated with the academic performance of the participants. No significant relationships between the CIUS, ICT accessibility, family economic condition, parental occupation or religion were found.


Adolescents Compulsive Internet Use Scale Cross-sectional survey Psychometric validation 



This research was conducted in the Future Industrial Services (FutIS) research program (Project No. 2113194), managed by the Finnish Metals and Engineering Competence Cluster (FIMECC), and funded by the Finnish Funding Agency for Technology and Innovation (TEKES), research institutes and companies. Their support is gratefully acknowledged. The support received from Academy of Finland in the form of researcher’s mobility grant to Taiwan (Decision No. 265969) and South Africa (Decision No. 277571) is acknowledged. Additionally, we would like to acknowledge the support received from Ministry of Science and Technology, Taiwan, under grant number NSC 102-2628-S-011-001-MY4.

Conflict of interest

The authors declare that they have no conflict of interest.


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Copyright information

© Springer Science+Business Media New York 2015

Authors and Affiliations

  1. 1.Institute of Behavioral PsychologyUniversity of HelsinkiHelsinkiFinland
  2. 2.Department of Computer Science and EngineeringAalto UniversityEspooFinland
  3. 3.Graduate Institute of Digital Learning and EducationNational Taiwan University of Science and TechnologyTaipeiTaiwan
  4. 4.Department of Computer Science and EngineeringAalto UniversityEspooFinland

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