A psychometric comparison of the Internet Addiction Test, the Internet-Related Problem Scale, and self-diagnosis
Abstract
One of the more prominent issues in the field of Internet addiction is the validity of the instrument used to assess users' level of Internet involvement. Many of the instruments used to assess Internet addiction have high face validity but have yet to be tested psychometrically. The aim of this study is to compare two of the most used Internet addiction research measures, the Internet Addiction Test (IAT) and the Internet-Related Problem Scale (IRPS), along with a self-diagnostic question simply asking Internet users if they thought they were addicted to the Internet. A total of 225 Internet users participated in the study (69 males and 156 females). Participants who defined themselves as Internet addicts had higher scores on both the IAT and IRPS, and the three different Internet addiction measures were strongly correlated to each other. For the IAT, factor analysis generated three factors (emotional/psychological conflict; time management issues; mood modification) explaining 56.3% of the variance. For the IRPS, factor analysis generated four factors (negative effects of Internet use; mood modification; loss of control; increased Internet use) explaining 60.2% of the variance. The implications for these findings are discussed.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
It might be possible to use the single question "I am addicted to the Internet" to detect the perception of problematic mobile phone use of individuals.
“This indicates that it might be possible to use this single question to detect the perception of problematic mobile phone use of individuals, as has already been suggested [46,63].”
From Problematic Use of the Internet and Smartphones in University Students: 2006–2017 (2018) · cites this paper as [63]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Internet Addiction: The Emergence of a New Clinical Disorder
YOUNG, K. S. (1998) · CyberPsychology & Behavior · doi:10.1089/cpb.1998.1.237 · Cited by 5,513 · see citing works
Internet paradox: A social technology that reduces social involvement and psychological well-being?
Kraut, R. E., Patterson, M., Lundmark, V. A., Kiesler, S. B., Mukophadhyay, T., & Scherlis, W. L. (1998) · American Psychologist · doi:10.1037//0003-066x.53.9.1017 · Cited by 4,830 · see citing works
Internet paradox: A social technology that reduces social involvement and psychological well-being?
Kraut, R., Patterson, M., Lundmark, V., Kiesler, S., Mukophadhyay, T., & Scherlis, W. (1998) · American Psychologist · doi:10.1037/0003-066x.53.9.1017 · Cited by 4,793 · see citing works
Psychology of Computer Use: XL. Addictive Use of the Internet: A Case That Breaks the Stereotype
Young, K. S. (1996) · Psychological Reports · doi:10.2466/pr0.1996.79.3.899 · Cited by 1,108 · see citing works
The psychometric properties of the Internet addiction test
Widyanto, L., & McMurran, M. (2004) · CyberPsychology & Behavior · doi:10.1089/cpb.2004.7.443 · Cited by 1,073 · see citing works
Self-citationModification in the Proposed Diagnostic Criteria for Internet Addiction
Beard, K. W., & Wolf, E. (2001) · CyberPsychology & Behavior · doi:10.1089/109493101300210286 · Cited by 1,018 · see citing works
The compulsive internet use scale (CIUS): some psychometric properties
Meerkerk, G.-J., Van Den Eijnden, R. J. J. M., Vermulst, A. A., & Garretsen, H. F. L. (2009) · CyberPsychology & Behavior · doi:10.1089/cpb.2008.0181 · Cited by 989 · see citing works
Does Internet and computer ‘addiction’ exist? Some case study evidence
Griffiths, M. (2000) · CyberPsychology & Behavior · doi:10.1089/109493100316067 · Cited by 906 · see citing works
Self-citationProblematic internet use: Proposed classification and diagnostic criteria
Shapira, N. A., Lessig, M. C., Goldsmith, T. D., Szabo, S. T., Lazoritz, M., Gold, M. S., & Stein, D. J. (2003) · Depression and Anxiety · doi:10.1002/da.10094 · Cited by 771 · see citing works
Internet Addiction - Time to be Taken Seriously?
Griffiths, M. (2000) · Addiction Research · doi:10.3109/16066350009005587 · Cited by 635 · see citing works
Self-citationPotential determinants of heavier internet usage
ARMSTRONG, L., PHILLIPS, J. G., & SALING, L. L. (2000) · International Journal of Human-Computer Studies · doi:10.1006/ijhc.2000.0400 · Cited by 586 · see citing works
Brenner, V. (1997) · Psychological Reports · doi:10.2466/pr0.1997.80.3.879 · Cited by 559 · see citing works
Internet Addiction: A Review of Current Assessment Techniques and Potential Assessment Questions
Beard, K. W. (2005) · CyberPsychology & Behavior · doi:10.1089/cpb.2005.8.7 · Cited by 487 · see citing works
The Role of Context in Online Gaming Excess and Addiction: Some Case Study Evidence
Griffiths, M. D. (2010) · International Journal of Mental Health and Addiction · doi:10.1007/s11469-009-9229-x · Cited by 474 · see citing works
Self-citationJensen, J. (2005) · SecEd · doi:10.12968/sece.2005.4.415 · Cited by 362 · see citing works
Virtual subjects: Using the Internet as an alternative source of subjects and research environment
Smith, M., & Leigh, B. (1997) · Behavior Research Methods, Instruments, & Computers · doi:10.3758/bf03210601 · Cited by 290 · see citing works
The role of context in online gaming excess and addiction: some case study evidence
Griffiths (2010) · Nottingham Trent University's Institutional Repository (Nottingham Trent Repository) · Cited by 254 · see citing works
Development of a Psychometrically Sound Internet Addiction Scale: A Preliminary Step.
Nichols, L. A., & Nicki, R. M. (2004) · Psychology of Addictive Behaviors · doi:10.1037/0893-164x.18.4.381 · Cited by 204 · see citing works
Pallanti, S., Bernardi, S., & Quercioli, L. (2006) · CNS Spectrums · doi:10.1017/s1092852900015157 · Cited by 192 · see citing works
Krantz, J. H., Ballard, J., & Scher, J. (1997) · Behavior Research Methods, Instruments, & Computers · doi:10.3758/bf03204824 · Cited by 180 · see citing works
Internet Blues Revisited: Replication and Extension of an Internet Paradox Study
Wästlund, E., Norlander, T., & Archer, T. (2001) · CyberPsychology & Behavior · doi:10.1089/109493101300210295 · Cited by 101 · see citing works
Confirmatory Factor Analysis of Internet Use and Addiction
Pratarelli, M. E., & Browne, B. L. (2002) · CyberPsychology & Behavior · doi:10.1089/109493102753685881 · Cited by 99 · see citing works
Rotunda, R. J., Kass, S. J., Sutton, M. A., & Leon, D. T. (2003) · Behavior Modification · doi:10.1177/0145445503255600 · Cited by 66 · see citing works
Turkish Adaptation Study of Internet Addiction Scale
Kesici, Ş., & Şahi̇n, İ. (2010) · Cyberpsychology Behavior and Social Networking · doi:10.1089/cyber.2009.0067 · Cited by 45 · see citing works
Kesici, Ş., & Şahi̇n, İ. (2009) · Psychological Reports · doi:10.2466/pr0.105.f.1103-1112 · Cited by 43 · see citing works
Mathy, R. M., & Cooper, A. (2003) · Psychotherapy · doi:10.1037/0033-3204.40.1-2.125 · Cited by 34 · see citing works
Flagged first, then by citations
Research works printed but not linked: 2
- [13]13. Petrie H, Gunn D. (1998) Internet ''addiction'': The effects of sex, age, depression and introversion. Paper presented at the British Psychological Society Conference, London.
- [23]23. Azar B. Online experiments: Ethically fair or foul? Monitor on Psychology 2000; 3:50-2.
Cited by
Sorted by citations
Brand, M., Young, K. S., & Laier, C. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00375 · Cited by 565 · see citing works
“This criterion is also a factor frequently found when analyzing the factorial structure of questionnaires used to assess Internet addiction (Chang and Law, 2008; Korkeila et al., 2010; Widyanto et al., 2011; Lortie and Guitton, 2013; Pawlikowski et al., 2013).”
BackgroundValidation and psychometric properties of a short version of Young’s Internet Addiction Test
Pawlikowski, M., Altstötter-Gleich, C., & Brand, M. (2013) · Computers in Human Behavior · doi:10.1016/j.chb.2012.10.014 · Cited by 523 · see citing works
Internet gaming addiction: current perspectives
Kuss, D. (2013) · Psychology Research and Behavior Management · doi:10.2147/prbm.s39476 · Cited by 498 · see citing works
Laestadius, L., Bishop, A., Gonzalez, M., Illenčík, D., & Campos-Castillo, C. (2024) · New Media & Society · doi:10.1177/14614448221142007 · Cited by 420 · see citing works
Neuroscience of Internet Pornography Addiction: A Review and Update
Love, T., Laier, C., Brand, M., Hatch, L., & Hajela, R. (2015) · Behavioral Sciences · doi:10.3390/bs5030388 · Cited by 262 · see citing works
Weinstein, A., Curtiss Feder, L., Rosenberg, K. P., & Dannon, P. (2014) · Behavioral Addictions · doi:10.1016/b978-0-12-407724-9.00005-7 · Cited by 256 · see citing works
Problematic Use of the Internet and Smartphones in University Students: 2006–2017
Carbonell, X., Chamarro, A., Oberst, U., Rodrigo, B., & Prades, M. (2018) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph15030475 · Cited by 240 · see citing works
“This indicates that it might be possible to use this single question to detect the perception of problematic mobile phone use of individuals, as has already been suggested [46,63].”
BackgroundDong, G., Lin, X., Zhou, H., & Lu, Q. (2014) · Addictive Behaviors · doi:10.1016/j.addbeh.2013.11.028 · Cited by 206 · see citing works
Treatment outcomes using CBT-IA with Internet-addicted patients
Young, K. S. (2013) · Journal of Behavioral Addictions · doi:10.1556/jba.2.2013.4.3 · Cited by 199 · see citing works
Pontes, H. M., Taylor, M., & Stavropoulos, V. (2018) · Cyberpsychology, Behavior, and Social Networking · doi:10.1089/cyber.2017.0609 · Cited by 163 · see citing works
Uso problemático de Internet y móvil en adolescentes y jóvenes españoles
Carbonell, X., Chamarro, A., Griffiths, M., & Talarn, A. (2012) · Anales de Psicología · doi:10.6018/analesps.28.3.156061 · Cited by 121 · see citing works
Self-citationReliability and validity of the Korean version of the Internet Addiction Test among college students
Lee, K., Lee, H.-K., Gyeong, H., Yu, B., Song, Y.-M., & Kim, D. (2013) · Journal of Korean Medical Science · doi:10.3346/jkms.2013.28.5.763 · Cited by 102 · see citing works
Dong, G., Lin, X., Hu, Y., Xie, C., & Du, X. (2015) · Scientific Reports · doi:10.1038/srep09197 · Cited by 76 · see citing works
Dong, G., Shen, Y., Huang, J., & Du, X. (2013) · European Addiction Research · doi:10.1159/000346783 · Cited by 73 · see citing works
Hernández, C., Rivera Ottenberger, D., Moessner, M., Crosby, R. D., & Ditzen, B. (2019) · Computers in Human Behavior · doi:10.1016/j.chb.2019.02.027 · Cited by 37 · see citing works
- Authors
- Widyanto, L., Griffiths, M. D., & Brunsden, V.
- Affiliations
- Nottingham Trent University (GB)
- ORCID
- Griffiths, Mark D.
- Venue
- Cyberpsychology, Behavior, and Social Networking
- Publisher
- SAGE Publications
- Published
- 2011-03
- Volume
- 14
- Issue
- 3
- Pages
- 141-149
- ISSN
- 2152-2715 (ISSN-L)
- 2152-2723
- OpenAlex
- W2020690369
- Cited by
- 298
- References
- 26
- Citations by year
- 2026: 1 · 2025: 9 · 2024: 10 · 2023: 12 · 2022: 18 · 2021: 16 · 2020: 59 · 2019: 22 · 2018: 16 · 2017: 16 · 2016: 26 · 2015: 22 · 2014: 23 · 2013: 28 · 2012: 18
- FWCI
- 49.90
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Cyberpsychology Behavior and Social Networking (publishedVersion)
- PubMed (publishedVersion)
- Nottingham Trent University's Institutional Repository (Nottingham Trent Repository) (acceptedVersion)
- Nottingham Trent University's Institutional Repository (Nottingham Trent Repository) (submittedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Social Sciences › Psychology › Clinical Psychology › Sexuality, Behavior, and Technology
- Social Sciences › Psychology › Clinical Psychology › Gambling Behavior and Treatments
- Keywords
- internet addiction, Internet Addiction Test, self-diagnosis, psychometric validation, factor structure, mood modification, loss of control, time management, instrument comparison
- MeSH terms
- Adolescent, Adult, Aged, Factor Analysis, Statistical, Female, Humans, Male, Middle Aged, Psychometrics, Surveys and Questionnaires, Reproducibility of Results, Behavior, Addictive, Internet, Diagnostic Self Evaluation
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review