Psychometric evaluation of the nine-item problematic Internet use questionnaire (PIUQ-9) in nine European samples of internet users

Objectives: The nine-item Problematic Internet Use Questionnaire (PIUQ-9) is a brief self-report screening instrument for problematic internet use. The main objective of the present study was to explore the psychometric properties of the PIUQ-9 among nine different language-based samples of European...

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Detalhes bibliográficos
Autores: Laconi, Stéphanie, Urbán, Róbert, Kaliszewska-Czeremska, Katarzyna, Kuss, Daria J., Gnisci, Augusto, Sergi, Ida, Barke, Antonia, Jeromin, Franziska, Groth, Jarosław, Gámez Guadix, Manuel, Ozcan, Neslihan Keser, Siomos, Konstantinos, Floros, Georgios D., Griffiths, Mark D., Demetrovics, Zsolt, Király, Orsolya
Formato: artículo
Fecha de publicación:2019
País:España
Recursos:Universidad Autónoma de Madrid
Repositorio:Biblos-e Archivo. Repositorio Institucional de la UAM
Idioma:inglés
OAI Identifier:oai:repositorio.uam.es:10486/688794
Acesso em linha:http://hdl.handle.net/10486/688794
https://dx.doi.org/10.3389/fpsyt.2019.00136
Access Level:acceso abierto
Palavra-chave:Cross-cultural studies
Internet addiction
Online addiction
Problematic internet use
Problematic internet use questionnaire
Psychometric properties
Screening instrument
Psicología
Descrição
Resumo:Objectives: The nine-item Problematic Internet Use Questionnaire (PIUQ-9) is a brief self-report screening instrument for problematic internet use. The main objective of the present study was to explore the psychometric properties of the PIUQ-9 among nine different language-based samples of European internet users (Italian, German, French, Polish, Turkish, Hungarian, English, and Greek). Methods: The total sample comprised 5,593 internet users (38.1% men), aged between 18 and 87 years (M = 25.81; SD = 8.61). Via online recruitment, participants completed the PIUQ-9, the Brief Symptom Inventory (BSI) and items about time spent online. Results: Confirmatory factor analysis demonstrated that the bifactor model with one general factor (i.e., general problem) and two-specific factors (i.e., obsession and neglect + control disorder) yielded acceptable or good fit indices in all subsamples except for one. The common variance index in the bifactor model indicated that the general problem factor explained from 57.0 to 76.5% of common variance, which supports the presence of a strong global factor. According to the multiple indicators multiple causes (MIMIC) model, psychiatric symptoms had a moderate-to-strong direct effect on the general problem factor in all subsamples, ranging from β = 0.28 to β = 0.52 supporting the construct validity of the scale. Furthermore, in a majority of the subsamples, time spent online during the weekend had considerably higher effect sizes on the general problem factor than time spent online during weekdays. Conclusion: The present study highlights the appropriate psychometric properties of the PIUQ-9 across a number of European languages and cultures.