Published on in Vol 4, No 4 (2016): Oct-Dec

The Mobile Phone Affinity Scale: Enhancement and Refinement

The Mobile Phone Affinity Scale: Enhancement and Refinement

The Mobile Phone Affinity Scale: Enhancement and Refinement

Journals

  1. Strickland J, Stoops W. Feasibility, acceptability, and validity of crowdsourcing for collecting longitudinal alcohol use data. Journal of the Experimental Analysis of Behavior 2018;110(1):136 View
  2. Créquit P, Mansouri G, Benchoufi M, Vivot A, Ravaud P. Mapping of Crowdsourcing in Health: Systematic Review. Journal of Medical Internet Research 2018;20(5):e187 View
  3. Arpaci I, Esgi N. Psychometric properties of the Turkish version of the smartphone addiction inventory (SPAI). Current Psychology 2018 View
  4. Harris B, Regan T, Schueler J, Fields S. Problematic Mobile Phone and Smartphone Use Scales: A Systematic Review. Frontiers in Psychology 2020;11 View
  5. Deutsch C, Bock B, Lantini R, Walaska K, Rosen R, Fava J, Jennings E, Foster R, Flanagan W. A text message delivered smoking cessation intervention: Design and rationale of the Text My Quit Study. Contemporary Clinical Trials 2019;81:19 View
  6. Arpaci I, Baloğlu M, Özteke Kozan H, Kesici Ş. Individual Differences in the Relationship Between Attachment and Nomophobia Among College Students: The Mediating Role of Mindfulness. Journal of Medical Internet Research 2017;19(12):e404 View
  7. Thomée S. Mobile Phone Use and Mental Health. A Review of the Research That Takes a Psychological Perspective on Exposure. International Journal of Environmental Research and Public Health 2018;15(12):2692 View
  8. Bock B, Deutsch C, Dunsiger S, Rosen R, Walaska K, Lantini R, Foster R. C.A.R.E.S: A mobile health program for alcohol risk reduction in community college students. Contemporary Clinical Trials 2021;107:106493 View
  9. Nikolic A, Bukurov B, Kocic I, Soldatovic I, Mihajlovic S, Nesic D, Vukovic M, Ladjevic N, Grujicic S. The Validity and Reliability of the Serbian Version of the Smartphone Addiction Scale—Short Version. International Journal of Environmental Research and Public Health 2022;19(3):1245 View
  10. Jonnatan L, Seaton C, Rush K, Li E, Hasan K. Mobile Device Usage before and during the COVID-19 Pandemic among Rural and Urban Adults. International Journal of Environmental Research and Public Health 2022;19(14):8231 View
  11. YASAN AK N, YILDIRIM S. The development and validation of a scale measuring mobile phone use in an academic environment. International Journal of Assessment Tools in Education 2022;9(4):931 View
  12. Yasan-Ak N, Yildirim S. An Investigation into Smartphone Use of Undergraduate Students in the Academic Environment and Its Predictors. Technology, Knowledge and Learning 2024;29(2):963 View
  13. Mroz A, Gorham J. From Caterpillar to Butterfly: Story of an Ordinarily Extraordinary Generation Z L2 Student Abroad. Frontiers: The Interdisciplinary Journal of Study Abroad 2024;36(1):312 View
  14. Guo Z, Liu K, Liang C, Li D, Lou J, Deng Y, Huang M. Validation of the Chinese version of the Smartphone Distraction Scale. Heliyon 2024;10(11):e31807 View
  15. Franco A, Birenboim A. The Interrelations Between Virtual and Physical Spaces: The Case of Smartphone Usage Among Adolescents. Annals of the American Association of Geographers 2024:1 View

Books/Policy Documents

  1. Arpaci I, Barzegari S, Mahmoodi H, Afrooz E, Ranjbar A. Proceedings of International Conference on Emerging Technologies and Intelligent Systems. View
  2. Gratzer K, Schlögl S, Groth A. HCI in Business, Government and Organizations. View