Development and Validation of a Game Addiction Scale for Adolescents

Lemmens, Jeroen S.; Valkenburg, Patti M.; Peter, Jochen

doi:10.1080/15213260802669458

Cited by 1,032 publications

(1,148 citation statements)

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“…In the current study, significantly more males than females were identified as addicted gamers and social gamers, and significantly more females than males were identified as non-gamers, a pattern that has also been widely reported with problem gambling. This gender divide has been reported elsewhere (Desai et al, 2010;Gentile, Choo, Liau, Sim, Fung, & Koo, 2011;Griffiths et al, 2004b;Lemmens et al, 2009Lemmens et al, , 2011Mentzoni et al, 2011;Padilla-Walker et al, 2010;. Whether or not game choice affected these results is beyond the scope of this paper but, as with gambling, video game manufacturers are becoming aware of the market potential of women gamers and these numbers may change as game designers create and promote games geared toward women and girls.…”

Section: Gender Differencesmentioning

confidence: 98%

“…For the purposes of data analysis, gaming addiction was measured by the seven-item short version of this scale. Per Lemmens et al (2009), seven items on the GAS were used to identify a gaming addiction. As the cut-off on the GAS for video game addiction can be established in a number of different ways, the current study used a procedure whereby each item was considered met when a person answered ''often'' or ''very often'' of seven possible choices (Lemmens et al, 2009).…”

Section: Instrumentsmentioning

confidence: 99%

“…Per Lemmens et al (2009), seven items on the GAS were used to identify a gaming addiction. As the cut-off on the GAS for video game addiction can be established in a number of different ways, the current study used a procedure whereby each item was considered met when a person answered ''often'' or ''very often'' of seven possible choices (Lemmens et al, 2009). This is a conservative estimate of problematic gaming, as some studies include ''sometimes'' in their criteria (Collins & Freeman, 2013).…”

Section: Instrumentsmentioning

confidence: 99%

“…Game Addiction Scale (GAS; Lemmens, Valkenburg, & Peter, 2009). This 21-item scale was modelled on the DSM-IV criteria for pathological gambling and taps into criteria proposed by Griffiths (2005a), the components of which are salience, tolerance, mood modification, withdrawal, relapse, conflict, and related problems.…”

Section: Instrumentsmentioning

confidence: 99%

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Gambling and Video Game Playing Among Youth

McBride¹,

Derevensky²

2017

JGI

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Gambling and video game playing represent two leisure activities in which adolescents and young adults participate. There are psychological and behavioural parallels between some forms of gambling (e.g., slot machines, video lottery terminals, electronic gambling machines) and some types of video games (e.g., arcade games). Both activities operate on behavioural principles of variable reinforcement schedules in order to reward and prolong play and use exciting and stimulating sound and light effects within game play. Additionally, both activities have similar negative effects associated with excessive play (e.g., poor academic performance, moodiness, loss of interest in activities previously enjoyed, and interpersonal conflict). Thus, there is concern that children and adolescents who are attracted to video games, for both psychological rewards and the challenge, may be at greater risk to gamble. We examined the gambling and video game playing behaviour among 1,229 adolescents and young adults. Results indicate that gamblers, relative to non-gamblers, were more likely to play video games. Video game players were more likely than nonplayers to gamble. Both social and problem gamblers had higher rates of video game playing than did non-gamblers, and addicted gamers had higher rates of gambling than did social and non-gamers. Results from the current study suggest significant overlap in youth participation in both gambling activities and video game playing. These results have implications for future research and the treatment of problem gambling and video game addiction.

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Section: Gender Differencesmentioning

confidence: 98%

Section: Instrumentsmentioning

confidence: 99%

Section: Instrumentsmentioning

confidence: 99%

Section: Instrumentsmentioning

confidence: 99%

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Gambling and Video Game Playing Among Youth

McBride¹,

Derevensky²

2017

JGI

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“…Although playing video games is not considered intrinsically pathologic or problematic, gaming can become pathological for some players when the activity becomes dysfunctional, harming an individual's social, occupational, familial, academic, and psychological functioning (1). In general, "pathological gaming" can be described as persistent, recurrent, and excessive involvement with computer or video games that cannot be controlled, despite associated problems (2,3). Most recent studies on "game addiction" or similar constructs have adapted the definition and six criteria for "pathological gambling" from the fourth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-IV) (4), and many have therefore applied the term "pathological gaming" to this type of behavior (5)(6)(7)(8)(9)(10)(11)(12).…”

Section: Introductionmentioning

confidence: 99%

The psychometric properties of the Turkish version of the Internet Gaming Disorder Scale

Evren¹,

Dalbudak²,

Topcu³

et al. 2017

Dusunen Adam

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The psychometric properties of the Turkish version of the Internet Gaming Disorder ScaleObjective: The main aim of the current study was to test the psychometric properties of the Internet Gaming Disorder Scale (IGDS), both the long (27-item) and short (9-item) polytomous versions, which are survey instruments that measure Internet gaming disorder (IGD) on the basis of the 9 criteria from the 5 th edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5). Method: Participants were evaluated by applying the 27-item IGDS and the Young's Internet Addiction TestShort Form (YIAT-SF). The psychometric properties of the IGDS were tested through an online survey completed by volunteers who are university students in Ankara, active Internet game players, as well as individuals who are in the e-mail database of an Istanbul-based company which organizes e-sports tournaments. Results: A single component on the nine-item IGDS reached the criterion of an Eigenvalue greater than one (5.926), and the variance accounted for by this component was 65.85%. Confirmatory factor analyses demonstrated that the structural validity (i.e., the dimensional structure) of the nine-item IGDS was satisfactory. This short version of the scale was also reliable (i.e., internally consistent with Cronbach's α of 0.931) demonstrating good criterion-related validity, as indicated by positive correlations with time spent playing games, and the YIAT-SF score. Correlation between the 27-item IGDS and the nine-item IGDS was very high (n=457; r=0.988, p<0.001). Test-retest correlation for both the 27-item IGDS (n=261, r=0.759) and nine-item IGDS (n=261, r=0.756) were high. When the DSM-5 threshold for diagnosis (experiencing 5 or more criteria) was applied, the prevalence of disordered gamers ranged between 3.9% and 9.2%, according to the cutoff point chosen for each item. Conclusion:The results of the validity and reliability testing of the Turkish version of the nine-item IGDS were found to be similar to the findings of the original scale. These findings support the Turkish versions of the nineitem IGDS, which measure a unidimensional construct as being valid and reliable IGD screening instrument in determining IGD which can become problematic among young adults and also for the purposes of early diagnosis and use in other relevant research. Keywords: e-sport, internet gaming disorder, Internet Gaming Disorder Scale, university students ÖZET İnternet Oyun Oynama Bozukluğu Ölçeği Türkçe versiyonunun psikometrik özellikleriAmaç: Bu çalışmanın temel amacı İnternet Oyun Oynama Bozukluğunu (İOOB) ölçmek için değerlendirme araçları olan ve Zihinsel Bozuklukların Teşhis ve İstatistik El Kitabı'nın (DSM-5) beşinci baskısından kaynaklanan 9 ölçüte dayanarak değerlendiren, hem uzun (27 madde) hem de kısa (9 maddelik) çoklu cevaplı İnternet Oyun Oynama Bozukluğu Ölçeği (İOOBÖ) versiyonlarının psikometrik özelliklerini test etmektir. Yöntem: Katılımcılar 27 maddelik İOOBÖ ve Young'ın İnternet Bağımlılığı Testi Kısa Formu (YİBT-KF) kulla...

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The Psychology of Interactive Media Habits

LaRose

2015

The Handbook of the Psychology of Communication Technology

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Development and Validation of a Game Addiction Scale for Adolescents

Cited by 1,032 publications

References 51 publications

Gambling and Video Game Playing Among Youth

Gambling and Video Game Playing Among Youth

The psychometric properties of the Turkish version of the Internet Gaming Disorder Scale

The Psychology of Interactive Media Habits

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