Remember Me
Or use your Academic/Social account:


Or use your Academic/Social account:


You have just completed your registration at OpenAire.

Before you can login to the site, you will need to activate your account. An e-mail will be sent to you with the proper instructions.


Please note that this site is currently undergoing Beta testing.
Any new content you create is not guaranteed to be present to the final version of the site upon release.

Thank you for your patience,
OpenAire Dev Team.

Close This Message


Verify Password:
Verify E-mail:
*All Fields Are Required.
Please Verify You Are Human:
fbtwitterlinkedinvimeoflicker grey 14rssslideshare1
Pontes, HM; Caplan, SE; Griffiths, MD (2016)
Publisher: Elsevier
Languages: English
Types: Article
The Generalized Problematic Internet Use Scale 2 (GPIUS2) assesses individuals’ generalized problematic Internet use (PIU) cognitions, behaviors, and negative outcomes. To date, the GPIUS2 has only been validated in English, Spanish, German, and Italian language. Therefore, the aim of this study was to validate a Portuguese version of the GPIUS2 and provide a taxonomy of the potential risk of PIU among participants. A sample of 641 Portuguese-speaking Internet users was recruited online after a process of translation and back-translation of the original GPIUS2. In-depth validity and reliability analyses were conducted alongside latent profile analysis (LPA) to identify the potential risk of PIU of participants. The validity and reliability analyses revealed adequate results concerning the psychometric properties of the Portuguese GPIUS2. According to the LPA results, participants were classed as “low risk” (n = 289, 46.7%), “medium risk” (n = 256, 40.7%), and “high risk” (n = 77, 12.6%) of PIU with key differences emerging among the three classes. The present findings support the overall validity and usefulness of the Portuguese GPIUS2 and the results from the LPA may be potentially useful in informing practitioners currently working with clients struggling with PIU.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • Akin, A., & Iskender, M. (2011). Internet addiction and depression, anxiety and stress. International Online Journal of Educational Sciences, 3, 138-148.
    • Barke, A., Nyenhuis, N., & Kröner-Herwig, B. (2014). The German version of the Generalized Problematic Internet Use Scale 2 (GPUIS2): a validation study. Cyberpsychology, Behavior, and Social Networking, 17(7), 474-482. doi: 10.1089/cyber.2013.0706
    • Bentler, P. M. (1990). Comparative Fit indexes in structural models. Psychological Bulletin, 107(2), 238-246. doi: 10.1037/0033-2909.107.2.238
    • Bentler, P. M., & Bonnet, D. G. (1980). Significance tests and goodness of fit in the analysis of covariance structures. Psychological Bulletin, 88(3), 588-606. doi: 10.1037/0033-2909.88.3.588
    • Caplan, S. E. (2002). Problematic internet use and psychosocial well-being: development of a theory-based cognitive-behavioral measurement instrument. Computers in Human Behavior, 18(5), 553-575. doi: 10.1016/S0747- 5632(02)00004-3
    • Caplan, S. E. (2003). Preference for online social interaction a theory of problematic internet use and psychosocial well-being. Communication Research, 30(6), 625- 648. doi: 10.1177/0093650203257842
    • Caplan, S. E. (2005). A social skill account of problematic internet use. Journal of Communication, 55(4), 721-736.
    • Caplan, S. E. (2006). Problematic Internet use in the workplace. In M. Anandarajan, T.S.H. Teo, & C. A. Simmers (Eds.), The Internet and workplace transformation (pp. 63-79). Armonk, NY: M. E. Sharpe.
    • Caplan, S. E. (2010). Theory and measurement of generalized problematic internet use: a two-step approach. Computers in Human Behavior, 26(5), 1089-1097. doi: 10.1016/j.chb.2010.03.012
    • Caplan, S. E., & High, A. C. (2006). Beyond excessive use: the interaction between cognitive and behavioral symptoms of problematic internet use. Communication Research Reports, 23(4), 265-271. doi: 10.1080/08824090600962516
    • Caplan, S. E., & High, A. C. (2010). Online social interaction, psychosocial well-being, and problematic internet use. In K. Young & C. Nabuco de Abreu (Eds.), Internet Addiction: A Handbook and Guide to Evaluation and Treatment (pp. 35-53). Hoboken, NJ: John Wiley & Sons, Inc.
    • Collins, L. M., & Lanza, S. T. (2010). Latent class and latent transition analysis: With applications in the social, behavioral, and health sciences. Hoboken, NJ: John Wiley & Sons.
    • Davis, R. A. (2001). A cognitive-behavioral model of pathological internet use. Computers in Human Behavior, 17(2), 187-195. doi: 10.1016/S0747- 5632(00)00041-8
    • Davis, R. A., Flett, G. L., & Besser, A. (2002). Validation of a new scale for measuring problematic internet use: implications for pre-employment screening. CyberPsychology & Behavior, 5(4), 331-345. doi: 10.1089/109493102760275581
    • Field, A. (2013). Discovering statistics using ibm spss statistics (4th edition). London: SAGE Publications Ltd.
    • Fioravanti, G., & Casale, S. (2015). Evaluation of the psychometric properties of the italian Internet Addiction Test. Cyberpsychology, Behavior, and Social Networking, 18(2), 120-128. doi: 10.1089/cyber.2014.0493
  • No related research data.
  • No similar publications.

Share - Bookmark

Cite this article