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A review of recent research in problematic internet use: gender and cultural differences.
Baloğlu M, Şahin R, Arpaci I. Baloğlu M, et al. Among authors: arpaci i. Curr Opin Psychol. 2020 Dec;36:124-129. doi: 10.1016/j.copsyc.2020.05.008. Epub 2020 Jun 10. Curr Opin Psychol. 2020. PMID: 32629412 Review.
The development and initial tests for the psychometric properties of the COVID-19 Phobia Scale (C19P-S).
Arpaci I, Karataş K, Baloğlu M. Arpaci I, et al. Pers Individ Dif. 2020 Oct 1;164:110108. doi: 10.1016/j.paid.2020.110108. Epub 2020 May 11. Pers Individ Dif. 2020. PMID: 32394993 Free PMC article.
Moderating Role of Gender in the Relationship between Big Five Personality Traits and Smartphone Addiction.
Arpaci I, Kocadag Unver T. Arpaci I, et al. Psychiatr Q. 2020 Jun;91(2):577-585. doi: 10.1007/s11126-020-09718-5. Psychiatr Q. 2020. PMID: 32100236
Mediating Effect of Internet Addiction on the Relationship Between Individualism and Cyberbullying: Cross-Sectional Questionnaire Study.
Arpaci I, Abdeljawad T, Baloğlu M, Kesici Ş, Mahariq I. Arpaci I, et al. J Med Internet Res. 2020 May 28;22(5):e16210. doi: 10.2196/16210. J Med Internet Res. 2020. PMID: 32463369 Free PMC article.
Impact of Perceived Security on Organizational Adoption of Smartphones.
Arpaci I, Yardimci Cetin Y, Turetken O. Arpaci I, et al. Cyberpsychol Behav Soc Netw. 2015 Oct;18(10):602-8. doi: 10.1089/cyber.2015.0243. Epub 2015 Sep 18. Cyberpsychol Behav Soc Netw. 2015. PMID: 26383763
COVID-19 Phobia in the United States: Validation of the COVID-19 Phobia Scale (C19P-SE).
Arpaci I, Karatas K, Baloglu M, Haktanir A. Arpaci I, et al. Death Stud. 2021 Jan 1:1-7. doi: 10.1080/07481187.2020.1848945. Online ahead of print. Death Stud. 2021. PMID: 33385190
Individual Differences in the Relationship Between Attachment and Nomophobia Among College Students: The Mediating Role of Mindfulness.
Arpaci I, Baloğlu M, Özteke Kozan Hİ, Kesici Ş. Arpaci I, et al. J Med Internet Res. 2017 Dec 14;19(12):e404. doi: 10.2196/jmir.8847. J Med Internet Res. 2017. PMID: 29242179 Free PMC article.
Predicting the COVID-19 infection with fourteen clinical features using machine learning classification algorithms.
Arpaci I, Huang S, Al-Emran M, Al-Kabi MN, Peng M. Arpaci I, et al. Multimed Tools Appl. 2021 Jan 7:1-15. doi: 10.1007/s11042-020-10340-7. Online ahead of print. Multimed Tools Appl. 2021. PMID: 33437173 Free PMC article.