Validation and psychometric properties of a short version of Young’s Internet Addiction Test

Pawlikowski, Mirko; Altstötter‐Gleich, Christine; Brand, Matthias

doi:10.1016/j.chb.2012.10.014

Cited by 399 publications

(375 citation statements)

References 65 publications

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“…The average score of Internet addiction among female students was 30.24 ± 10.8 and 37.26 ± 13.8 among male students, which was consistent with our study (13). Chih -Hung Ko and colleagues and Pawlikowski, Stavropoulos et al, the same result was obtained and the dependence on the Internet in men was higher than women, which was consistent with our study (27)(28)(29). However, in the study by Hassanzadeh and Salehi, this rate was high in girls than boys, the results were not consistent with our study (30).…”

Section: Discussioncontrasting

confidence: 55%

Relation between Internet Addiction and Educational Burnout among Students in Faculty of Health Management and Medical Informatics of Tabriz University of Medical Sciences: A Cross - Sectional Study

et al. 2018

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Background: With growing usage of Internet in daily life, there is a risk of addiction to using the Internet among users especially students, who use the Internet as a tool for their educational duties. Addiction to the Internet may be a risk factor for educational burnout, which may cause educational failure. This study was designed to determine the relation between Internet addiction and educational burnout among students in the faculty of Management and Medical Information Sciences. Materials and Methods: This is a cross -sectional study in which all of the students of the Faculty of Management and Medical Information Sciences of Tabriz University of Medical Sciences, in 2015, were included. The data were collected using Young's Internet Addiction questionnaire and Maslach Educational Burnout questionnaire. The independent t -test, ANOVA, and linear regression were used to analyze data by using SPSS -v19 (P < 0.05). Results:The total mean ± SD Internet addiction score was 25.35 ± 16.44. A significant relationship was found between addiction to the Internet and variables such as sex and residential location (P < 0.05). The total means ± SD of educational burnout score was 41.83 ± 14.22. Significant relationship between educational burnout and demographic variables was not found. There was a significant relationship between Internet addiction and educational burnout and its subscales including emotional exhaustion, cynicism subscales, and inefficacy subscale (P < 0.05). Conclusions: Given the positive relationship between Internet addiction and educational burnout among students, it's necessary for authorities to declare the risk of overuse of Internet for students and encourage them to optimize the use of this technology to prevent outcomes such as educational burnout.

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Section: Discussioncontrasting

confidence: 55%

Relation between Internet Addiction and Educational Burnout among Students in Faculty of Health Management and Medical Informatics of Tabriz University of Medical Sciences: A Cross - Sectional Study

et al. 2018

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“…The mean score of the s-IATsex in the PCU group was 34.72 (SD = 4.04, range: 31-44, all participants included had a score in the s-IATsex of 31 or higher, which is the cut-off score for problematic use (Pawlikowski et al, 2013). Relatively to their overall Internet use, PCU indicated to watch…”

Section: Resultsmentioning

confidence: 99%

“…In the s-IATsex twelve items had to be answered on a five-point scale from 1 (never) to 5 (very often) resulting in sum scores ranging from 12 to 60. In the validation study by Pawlikowski et al (2013), a cut-off score of >30 indicates problematic Internet use, which was also applied to the s-IATsex in our study. In our sample, internal consistency was good (Cronbach's a = .841).…”

Section: Internetsex Addiction Test (S-iatsex)mentioning

confidence: 99%

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Cybersex addiction: Experienced sexual arousal when watching pornography and not real-life sexual contacts makes the difference

Laier¹,

Pawlikowski²,

Pekal³

et al. 2013

Journal of Behavioral Addictions

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182

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Background and aims: Cybersex addiction is discussed controversially, while empirical evidence is widely missing. With respect to its mechanisms of development and maintenance Brand et al. (2011) assume that reinforcement due to cybersex should lead to the development of cue-reactivity and craving explaining recurrent cybersex use in the face of growing but neglected negative consequences. To support this hypothesis, two experimental studies were conducted. Methods: In a cue-reactivity paradigm 100 pornographic cues were presented to participants and indicators of sexual arousal and craving were assessed. The first study aimed at identifying predictors of cybersex addiction in a freely recruited sample of 171 heterosexual males. The aim of the second study was to verify the findings of the first study by comparing healthy (n = 25) and problematic (n = 25) cybersex users. Results: The results show that indicators of sexual arousal and craving to Internet pornographic cues predicted tendencies towards cybersex addiction in the first study. Moreover, it was shown that problematic cybersex users report greater sexual arousal and craving reactions resulting from pornographic cue presentation. In both studies, the number and subjective quality of real-life sexual contacts were not associated to cybersex addiction. Discussion: The results support the gratification hypothesis, which assumes reinforcement, learning mechanisms, and craving to be relevant processes in the development and maintenance of cybersex addiction. Poor or unsatisfying sexual real-life contacts cannot sufficiently explain cybersex addiction. Conclusions: Positive reinforcement in terms of gratification plays a major role in cybersex addiction.

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“…YIAT-SF, developed by Young (17) and transformed into a short form by Pawlikowski et al (72), is a 5-point Likert type measure consisting of 12 items. The Turkish version of YIAT-SF was conducted by Kutlu et al (73) on both adolescents and university students.…”

Section: Young's Internet Addiction Test Short Form (Yiat-sf)mentioning

confidence: 99%

Technological Addictions and Social Connectedness: Predictor Effect of Internet Addiction, Social Media Addiction, Digital Game Addiction and Smartphone Addiction on Social Connectedness

Savcı¹,

Aysan²

2017

Dusunen Adam

172

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Technological addictions and social connectedness: predictor effect of internet addiction, social media addiction, digital game addiction and smartphone addiction on social connectednessObjective: This study examined the predictor effects of four technological addictions, including Internet addiction, social media addiction, digital game addiction and smartphone addiction on social connectedness. Method: The study was conducted on 201 adolescents (101 girls, 100 boys) who have been using Internet, playing digital games, and using social media for at least one year, and have at least one social media account and a smartphone. The Young's Internet Addiction Test-Short Form, Social Media Disorder Scale, Digital Game Addiction Scale, Smartphone Addiction Scale-Short Version, Social Connectedness Scale, and Personal Information Form were used as data collection tools. Parametric statistical methods were used to analyze the data, taking into consideration the single and multivariable normality, linearity, and multicolinearity. Results: The analysis showed that Internet addiction, social media addiction, digital game addiction and smartphone addiction significantly predicted 25% of social connectedness. In addition, it has been determined that the strongest effect on social connectedness is from Internet addiction followed by social media addiction, digital game addiction, and smartphone addiction respectively. Conclusion: Four technological addictions including Internet addiction, social media addiction, digital game addiction and smartphone addiction significantly affect social connectedness. Keywords: Digital game addiction, internet addiction, smartphone addiction, social connectedness, social media addiction ÖZET Teknolojik bağımlılıklar ve sosyal bağlılık: İnternet bağımlılığı, sosyal medya bağımlılığı, dijital oyun bağımlılığı ve akıllı telefon bağımlılığının sosyal bağlılığı yordayıcı etkisi Amaç: Bu araştırmada internet bağımlılığı, sosyal medya bağımlılığı, dijital oyun bağımlılığı ve akıllı telefon bağımlılığı olmak üzere, dört teknolojik bağımlılığın sosyal bağlılığı yordayıcı etkisi incelenmiştir. Yöntem: Araştırma son bir yıldır internet kullanan, dijital oyun oynayan ve sosyal medya kullanan ve en az bir sosyal medya hesabı ve akıllı telefonu olan 201 (101'i kız, 100'ü erkek) ergen üzerinde gerçekleştirilmiştir. Araştırma verileri Young İnternet Bağımlılığı Testi Kısa Formu, Akıllı Telefon Bağımlılığı Ölçeği Kısa Formu, Dijital Oyun Bağımlılığı Ölçeği, Sosyal Medya Bozukluğu Ölçeği, Sosyal Bağlılık Ölçeği ve Kişisel Bilgi Formu ile toplanmıştır. Araştırma verileri tek ve çok değişkenli normallik, doğrusallık ve çoklu bağlantı problemi dikkate alınarak, parametrik istatistiki yöntemlerle çözümlenmiştir. Bulgular: Analiz sonucunda internet bağımlılığı, sosyal medya bağımlılığı, dijital oyun bağımlılığı ve akıllı telefon bağımlılığının sosyal bağlılığın %25'ini anlamlı düzeyde yordadığı görülmüştür. Ayrıca sosyal bağlılığın açıklanmasında en güçlü etkinin internet bağımlılığından geldiği ve bunu sır...

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Validation and psychometric properties of a short version of Young’s Internet Addiction Test

Cited by 399 publications

References 65 publications

Relation between Internet Addiction and Educational Burnout among Students in Faculty of Health Management and Medical Informatics of Tabriz University of Medical Sciences: A Cross - Sectional Study

Relation between Internet Addiction and Educational Burnout among Students in Faculty of Health Management and Medical Informatics of Tabriz University of Medical Sciences: A Cross - Sectional Study

Cybersex addiction: Experienced sexual arousal when watching pornography and not real-life sexual contacts makes the difference

Technological Addictions and Social Connectedness: Predictor Effect of Internet Addiction, Social Media Addiction, Digital Game Addiction and Smartphone Addiction on Social Connectedness

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