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Smartphone and internet addiction as predictors of cyberloafing levels in students: A mediated model
16 references·0 citing·53 second hopsampled
Smartphone and internet addiction as predictors of cyberloafing levels in students: A mediated model (2022)Smartphone and internet addiction as pred…Problematic Use of the Internet and Smartphones in University Students: 2006–2017 (2018)Problematic Use of the Intern…Predictors of Cyberloafing among Preservice Information Technology Teachers (2018)Predictors of Cyberloafing am…Relationship between shyness and mobile phone addiction in Chinese young adults: Mediating roles of self-control and attachment anxiety (2017)Relationship between shyness …Mobile phone addiction and sleep quality among Chinese adolescents: A moderated mediation model (2017)Mobile phone addiction and sl…Investigation Faculty of Education Students' Cyberloafing Behaviors in Terms of Various Variables. (2017)Investigation Faculty of Educ…Can Cyberloafing and Internet Addiction Affect Organizational Information Security? (2017)Can Cyberloafing and Internet…The relationship between Cyber-Loafing and internet addiction (2016)The relationship between Cybe…Relationships among smartphone addiction, stress, academic performance, and satisfaction with life (2015)Relationships among smartphon…Mobile phone addiction levels and negative emotions among Chinese young adults: The mediating role of interpersonal problems (2015)Mobile phone addiction levels…Cognitive failures in daily life: Exploring the link with Internet addiction and problematic mobile phone use (2015)Cognitive failures in daily l…An investigation of the impact of demographics on cyberloafing from an educational setting angle (2015)An investigation of the impac…Latent class analysis on internet and smartphone addiction in college students (2014)Latent class analysis on inte…Explaining cyberloafing: The role of the theory of planned behavior (2014)Explaining cyberloafing: The …An Analysis on the Correlation and Gender Difference between College Students’ Internet Addiction and Mobile Phone Addiction in Taiwan (2013)An Analysis on the Correlatio…Common method biases in behavioral research: A critical review of the literature and recommended remedies. (2003)Common method biases in behav…What is coefficient alpha? An examination of theory and applications. (1993)What is coefficient alpha? 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An Update on Current Evidence and a Comprehensive Model for Future Research (2015)Relationship of smartphone use severity with sleep quality, depression, and anxiety in university students (2015)Problematic smartphone use: A conceptual overview and systematic review of relations with anxiety and depression psychopathology (2016)The Satisfaction With Life Scale (1985)Diagnostic and Statistical Manual of Mental Disorders (2013)Diagnostic and Statistical Manual of Mental Disorders (2013)The Relations Among Social Media Addiction, Self-Esteem, and Life Satisfaction in University Students (2016)Determining factors in the adoption and recommendation of mobile wallet services in India: Analysis of the effect of innovativeness, stress to use and social influence (2019)The CES-D Scale (1977)Evaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)Emotion And Adaptation (1991)Mobile Phone Use and Mental Health. 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(2000)High Self‐Control Predicts Good Adjustment, Less Pathology, Better Grades, and Interpersonal Success (2004)From attachment to addiction: The mediating role of need satisfaction on social networking sites (2019)Viewing personalized video clips recommended by TikTok activates default mode network and ventral tegmental area (2021)Motivational, emotional, and behavioral correlates of fear of missing out (2013)Are males more likely to be addicted to the internet than females? A meta-analysis involving 34 global jurisdictions (2019)The Interaction of Person-Affect-Cognition-Execution (I-PACE) model for addictive behaviors: Update, generalization to addictive behaviors beyond internet-use disorders, and specification of the process character of addictive behaviors (2019)The Prevalence of Depression, Anxiety and Stress and Their Associated Factors in College Students (2020)
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References

  • 2003Common method biases in behavioral research: A critical review of the literature and recommended remedies.84,999 cited
  • 1993What is coefficient alpha? An examination of theory and applications.8,969 cited
  • 2015Relationships among smartphone addiction, stress, academic performance, and satisfaction with life1,426 cited
  • 2015Mobile phone addiction levels and negative emotions among Chinese young adults: The mediating role of interpersonal problems334 cited
  • 2014Latent class analysis on internet and smartphone addiction in college students300 cited
  • 2017Mobile phone addiction and sleep quality among Chinese adolescents: A moderated mediation model278 cited
  • 2018Problematic Use of the Internet and Smartphones in University Students: 2006–2017240 cited
  • 2014Explaining cyberloafing: The role of the theory of planned behavior230 cited
  • 2015Cognitive failures in daily life: Exploring the link with Internet addiction and problematic mobile phone use180 cited
  • 2017Relationship between shyness and mobile phone addiction in Chinese young adults: Mediating roles of self-control and attachment anxiety171 cited
  • 2015An investigation of the impact of demographics on cyberloafing from an educational setting angle156 cited
  • 2013An Analysis on the Correlation and Gender Difference between College Students’ Internet Addiction and Mobile Phone Addiction in Taiwan110 cited
  • 2017Can Cyberloafing and Internet Addiction Affect Organizational Information Security?

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84 cited
  • 2018Predictors of Cyberloafing among Preservice Information Technology Teachers53 cited
  • 2017Investigation Faculty of Education Students' Cyberloafing Behaviors in Terms of Various Variables.49 cited
  • 2016The relationship between Cyber-Loafing and internet addiction41 cited
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