Individual Differences and the Development of Internet Addiction

Macur, Mirna; Pontes, Halley M.

doi:10.4018/978-1-5225-3477-8.ch012

Cited by 8 publications

(7 citation statements)

References 35 publications

(36 reference statements)

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“…This is in line with previous studies differentiating time spent online during The week and at weekends. Time spent online during both periods was predictive of PIU (47, 48), with higher results for time spent online during weekends and a stronger association with addiction [e.g., (48–50)].…”

Section: Discussionmentioning

confidence: 99%

Psychometric Evaluation of the Nine-Item Problematic Internet Use Questionnaire (PIUQ-9) in Nine European Samples of Internet Users

Laconi

Urbán

Kaliszewska-Czeremska

et al. 2019

Front. Psychiatry

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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.

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Section: Discussionmentioning

confidence: 99%

Psychometric Evaluation of the Nine-Item Problematic Internet Use Questionnaire (PIUQ-9) in Nine European Samples of Internet Users

Laconi

Urbán

Kaliszewska-Czeremska

et al. 2019

Front. Psychiatry

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“…Each factor contains two items rated on a five-point Likert scale ranging from ‘never’ to ‘always/almost always’ and total obtainable scores can range from 6 to 30, with higher scores indicating greater levels of PIU. The PIUQ-SF-6 has been previously shown to be psychometrically sound and has been utilized across several studies [e.g., 29 – 35 ]. In the present study, the PIUQ-SF-6 exhibited excellent internal consistency levels (Cronbach’s α = .84; McDonald’s ω = .90).…”

Section: Methodsmentioning

confidence: 99%

Problematic internet use profiles and psychosocial risk among adolescents

Pontes

Macur

2021

PLoS ONE

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Objective Although Problematic Internet Use (PIU) is an emerging area of study in psychology, little is known about the unique features of specific subgroups of internet users and their psychosocial vulnerabilities within robust and nationwide populations. Methods The aim of this study was to identify distinct latent groups of internet users based on their PIU risk and to compare their psychosocial outcomes. To achieve this, a nationally representative sample of adolescents of the same grade (N = 1,066, Meanage = 13.46 years, range = 12–16) was recruited from several schools in Slovenia through stratified random sampling. Results A Latent Profile Analysis (LPA) revealed a two-class solution, with Class 1 (n = 853, 80%) featuring ‘low PIU risk’ participants and Class 2 (n = 213, 20%) including ‘high PIU risk’ participants. Behaviorally, the main feature of Class 1 denoted ‘time management difficulties’ while Class 2 was best characterized by ‘mood and time management issues’. Further frequentist and Bayesian analyses indicated that Class 2 presented greater psychosocial risk compared to Class 1 due to significantly higher levels of PIU (generalized and across specific PIU subfactors) coupled with lower levels of subjective well-being and self-control. Conclusions Contrary to what was initially envisaged, the two classes did not differ in terms of perceived quality in parent-child relationship. This study shows that PIU patterns and symptom-severity may be developmentally specific, further highlighting the need for clinically age-adjusted PIU screening practices within epidemiological and healthcare settings.

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“…Consequently, health and wellbeing problems related to such activities are of concern to healthcare providers (Kuss et al, 2014; Pontes et al, 2015; Lin et al, 2018e; Yang et al, 2018). In relation to growing health concerns, addiction to online and/or offline gaming has received increasing attention (Lemmens et al, 2009; de Palo et al, 2018) because many studies have demonstrated a variety of negative impacts are associated with it, including social anxiety (Weinstein et al, 2015), depression (Sariyska et al, 2015), poor emotional wellbeing (Rücker et al, 2015), and lowered life satisfaction (Macur and Pontes, 2018).…”

Section: Introductionmentioning

confidence: 99%

Evaluating the Psychometric Properties of the 7-Item Persian Game Addiction Scale for Iranian Adolescents

et al. 2019

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The 7-item Gaming Addiction Scale (GAS) is a brief instrument based on DSM criteria to assess gaming addiction. Although the psychometric properties of the GAS have been tested using classical test theory, its psychometric properties have never been tested using modern test theory (e.g., Rasch analysis). The present study used a large adolescent sample in Iran to test the psychometric properties of the Persian GAS through both classical test and modern test theories. Adolescents (n = 4442; mean age = 15.3 years; 50.3% males) were recruited from Qazvin, Iran. In addition to the GAS, all of them completed the following instruments: the nine-item Internet Gaming Disorder Scale–Short Form (IGDS-SF9), Depression Anxiety Stress Scale (DASS), Pittsburgh Sleep Quality Index (PSQI), and a generic quality of life instrument. Two weeks later, all participants completed the GAS again. Confirmatory factor analysis (CFA) and Rasch analysis were used to test the unidimensionality of the GAS. Pearson correlation coefficients were used to test the test-retest reliability, and a regression model was used to test the criterion-related validity of the GAS. Both CFA and Rasch analysis supported the unidimensionality of the GAS. Pearson correlations coefficients showed satisfactory test-retest reliability of the GAS (r = 0.78 to 0.86), and the regression model demonstrated the criterion-related validity of the GAS (β = 0.31 with IGDS-SF9; 0.41 with PSQI). Based on the results, the Persian GAS is a reliable and valid instrument for healthcare providers to assess the level of gaming addiction among Persian-speaking adolescents.

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Individual Differences and the Development of Internet Addiction

Abstract: Internet addiction (IA)

Cited by 8 publications

References 35 publications

Psychometric Evaluation of the Nine-Item Problematic Internet Use Questionnaire (PIUQ-9) in Nine European Samples of Internet Users

Psychometric Evaluation of the Nine-Item Problematic Internet Use Questionnaire (PIUQ-9) in Nine European Samples of Internet Users

Problematic internet use profiles and psychosocial risk among adolescents

Evaluating the Psychometric Properties of the 7-Item Persian Game Addiction Scale for Iranian Adolescents

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