ORIGINAL PAPER
Polish adaptation and validation of the Smartphone Orientation Scale (SOS)
 
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1
Instytut Pedagogiki, Wydział Pedagogiki i Psychologii UMCS
 
2
Wydział Prawa i Administracji, Uniwersytet Radomski
 
3
Wydział Filologiczno-Pedagogiczny, Uniwersytet Radomski
 
 
Submission date: 2024-01-16
 
 
Final revision date: 2024-08-11
 
 
Acceptance date: 2024-08-13
 
 
Publication date: 2024-09-22
 
 
Corresponding author
Wojciech Marcin Czerski   

Instytut Pedagogiki, Wydział Pedagogiki i Psychologii UMCS
 
 
JoMS 2024;58(4):264-285
 
KEYWORDS
TOPICS
ABSTRACT
Objectives:
The intensive use of mobile devices has been the research subject in many countries and cultures for several years. The main emphasis is usually focused on negative phenomena, ranging from problematic or excessive use to addiction to a mobile phone or smartphone. Simultaneously scales are also being developed to measure users' general orientation to the smartphone. One such tool is Smartphone Orientation Scale (SOS) by James A. Roberts and Meredith E. David.

Material and methods:
The Smartphone Orientation Scale has been translated into Polish in accordance with the principle of linguistic equivalence. The research was conducted on a sample of 725 students (71% women) aged 18–50 from several universities in Poland. The assessment of the structure of Smartphone Orientation Scale was performed using CFA with the generalized least squares (GLS) estimator. The reliability of SOS was measured using Cronbach's α, McDonald's ω and temporal stability. Criterion validity was assessed by correlation with Mobile Phone Problem Use Scale (MPPUS-9), Depression, Anxiety, Stress Scale (DASS-21) and The Scale of Excessive Use of Social Networking Sites (SONKSS-16).

Results:
CFA showed favourable goodness-of-fit values, similar to the original version of SOS scale. The statistical analysis proved high statistically significant coefficients of the discriminatory power of SOS. As expected, a high statistically significant correlation exists between SOS and problematic mobile phone use and excessive social media activity.

Conclusions:
The adaptation study demonstrates that the Polish version of SOS has good psychometric properties and can be used in scientific and diagnostic research due to its enormous potential thanks to developed standards.

 
REFERENCES (32)
1.
Bartwal, J., & Nath, B. (2020). Evaluation of nomophobia among medical students using smartphone in north India. Medical Journal Armed Forces India, 76(4), 451–455. https://doi.org/10.1016/j.mjaf....
 
2.
Bedyńska, S., Książek, M. (red.). (2012). Statystyczny drogowskaz 3. Praktyczny przewodnik wykorzystania modeli regresji oraz równań strukturalnych. Warszawa: Wydawnictwo Akademickie Sedno .
 
3.
Brislin, R.W. (1970). Back-Translation for Cross-Cultural Research. Journal of Cross-Cultural Psychology, 1(3), 185–216. https://doi.org/10.1177/135910....
 
4.
Brislin, R.W. (1980). Cross-Cultural Research Methods. W: I. Altman, A. Rapoport, & J.F. Wohlwill (red.). Environment and Culture (T. 4, s. 47–82). Springer. https://doi.org/10.1007/978-1-....
 
5.
Brzeziński, J. (2006). Metodologia badań psychologicznych (5. wyd.). Warszawa: Wydawnictwo Naukowe PWN.
 
6.
Bulut, A., & Sengul, H. (2023). The Moderating Role of Gender in the Relationship between Nomophobia and Social Interaction Anxiety in University Students. International Journal of Human–Computer Interaction, 1–14. https://doi.org/10.1080/104473....
 
7.
Civelek, M.E. (2018). Essentials of Structural Equation Modeling. Zea Books. https://digitalcommons.unl.edu... (data dostępu: 25.08.2022r.).
 
8.
Ellis, D.A., Davidson, B.I., Shaw, H., & Geyer, K. (2019). Do smartphone usage scales predict behavior? International Journal of Human-Computer Studies, 130, 86–92. https://doi.org/10.1016/j.ijhc....
 
9.
Ellison, N.B., Steinfield, C., & Lampe, C. (2007). The Benefits of Facebook ,,Friends:” Social Capital and College Students’ Use of Online Social Network Sites. Journal of Computer-Mediated Communication, 12(4), 1143–1168. https://doi.org/10.1111/j.1083....
 
10.
Foerster, M., Roser, K., Schoeni, A., & Röösli, M. (2015). Problematic mobile phone use in adolescents: Derivation of a short scale MPPUS-10. International Journal of Public Health, 60(2), 277–286. https://doi.org/10.1007/s00038....
 
11.
Griffiths, M. (2005). A ,,components” model of addiction within a biopsychosocial framework. Journal of Substance Use, 10(4), 191–197. https://doi.org/10.1080/146598....
 
12.
Gupta, N., Garg, S., & Arora, K. (2016). Pattern of mobile phone usage and its effects on psychological health, sleep, and academic performance in students of a medical university. National Journal of Physiology, Pharmacy and Pharmacology, 6(2), 132–139. https://doi.org/10.5455/njppp.....
 
13.
Hair, J.F., Black, W.C., Babin, B.J., & Anderson, R.E. (red.). (2014). Multivariate data analysis (7., Pearson new internat. ed wyd.). Harlow: Pearson.
 
14.
Harris, B., Regan, T., Schueler, J., & Fields, S.A. (2020). Problematic Mobile Phone and Smartphone Use Scales: A Systematic Review. Frontiers in Psychology, 11, 672. https://doi.org/10.3389/fpsyg.....
 
15.
International Test Commission. (2017). The ITC Guidelines for Translating and Adapting Tests (Second edition). www.intestcom.org.
 
16.
Izdebski, P., Michalak, M., Andryszak, P., Kotyśko, M. (2014). Osobowościowe uwarunkowania nadmiernego korzystania z sieci społecznościowych wśród adolescentów (s. 41). Instytut Psychologii Uniwersytetu Kazimierza Wielkiego. https://www.kbpn.gov.pl/portal... (data dostępu: 18.07.2022 r.).
 
17.
Januszewski, A. (2012). Modele równań strukturalnych w metodologii badań psychologicznych. Problematyka przyczynowości w modelach strukturalnych i dopuszczalność modeli. W O. Gorbaniuk B. Kostrubiec-Wojtachnio (Red.), Studia z psychologii w KUL (T. 17, s. 213–245). Lublin: Wydawnictwo KUL.
 
18.
Keles, B., McCrae, N., & Grealish, A. (2020). A systematic review: The influence of social media on depression, anxiety and psychological distress in adolescents. International Journal of Adolescence and Youth, 25(1), 79–93. https://doi.org/10.1080/026738....
 
19.
Konarski, R. (2014). Modele równań strukturalnych. Teoria i praktyka. Warszawa: PWN.
 
20.
LaRose, R., Lin, C.A., & Eastin, M.S. (2003). Unregulated Internet Usage: Addiction, Habit, or Deficient Self-Regulation? Media Psychology, 5(3), 225–253. https://doi.org/10.1207/S15327....
 
21.
Lee, R.M., & Robbins, S.B. (1995). Measuring belongingness: The Social Connectedness and the Social Assurance scales. Journal of Counseling Psychology, 42(2), 232–241. https://doi.org/10.1037/0022-0....
 
22.
Lin, T.T.C., Chiang, Y.-H., & Jiang, Q. (2015). Sociable People Beware? Investigating Smartphone Versus Nonsmartphone Dependency Symptoms Among Young Singaporeans. Social Behavior and Personality: An International Journal, 43(7), 1209–1216. https://doi.org/10.2224/sbp.20....
 
23.
Lin, Y.-H., Lin, Y.-C., Lee, Y.-H., Lin, P.-H., Lin, S.-H., Chang, L.-R., Tseng, H.-W., Yen, L.-Y., Yang, C.C.H., Kuo, & T.B.J. (2015). Time distortion associated with smartphone addiction: Identifying smartphone addiction via a mobile application (App). Journal of Psychiatric Research, 65, 139–145. https://doi.org/10.1016/j.jpsy....
 
24.
Lovibond, P.F., & Lovibond, S.H. (1995). The structure of negative emotional states: Comparison of the Depression Anxiety Stress Scales (DASS) with the Beck Depression and Anxiety Inventories. Behaviour Research and Therapy, 33(3), 335–343. https://doi.org/10.1016/0005-7....
 
25.
Makara-Studzińska, M., Tyburski, E., Załuski, M., Adamczyk, K., Mesterhazy, J., & Mesterhazy, A. (2022). Confirmatory Factor Analysis of Three Versions of the Depression Anxiety Stress Scale (DASS-42, DASS-21, and DASS-12) in Polish Adults. Frontiers in Psychiatry, 12, 770532. https://doi.org/10.3389/fpsyt.....
 
26.
Pourrazavi, S., Allahverdipour, H., Jafarabadi, M. A., & Matlabi, H. (2014). A socio-cognitive inquiry of excessive mobile phone use. Asian Journal of Psychiatry, 10, 84–89. https://doi.org/10.1016/j.ajp.....
 
27.
Przybylski, A.K., Murayama, K., DeHaan, C.R., & Gladwell, V. (2013). Motivational, emotional, and behavioral correlates of fear of missing out. Computers in Human Behavior, 29(4), 1841–1848. https://doi.org/10.1016/j.chb.....
 
28.
Roberts, J.A., & David, M.E. (2020). The Social Media Party: Fear of Missing Out (FoMO), Social Media Intensity, Connection, and Well-Being. International Journal of Human–Computer Interaction, 36(4), 386–392. https://doi.org/10.1080/104473....
 
29.
Roberts, J.A., & David, M.E. (2022). Me, My Smartphone, and I: Development of the Smartphone Orientation Scale (SOS). International Journal of Human–Computer Interaction, 38(13), 1267–1275. https://doi.org/10.1080/104473....
 
30.
Sahin, S., Ozdemir, K., Unsal, A., & Temiz, N. (2013). Evaluation of mobile phone addiction level and sleep quality in university students. Pakistan Journal of Medical Sciences, 29(4), 913–918. https://doi.org/10.12669/pjms.....
 
31.
van Deursen, A.J.A.M., Bolle, C.L., Hegner, S.M., & Kommers, P.A.M. (2015). Modeling habitual and addictive smartphone behavior. Computers in Human Behavior, 45, 411–420. https://doi.org/10.1016/j.chb.....
 
32.
Wojnar, M., Klimkiewicz, A., Jakubczyk, A., Serafin, P., Mach, A., Abramowska, M., Kuciak, A. (2018). Nowe rodzaje uzależnień behawioralnych związanych z używaniem nowoczesnych technologii. Adaptacja i ocena przydatności skali problemowego używania telefonu komórkowego MPPUS-10 (Mobile Phone Problem Use Scale-10) w warunkach polskich (s. 67). Warszawski Uniwersytet Medyczny – Polskie Towarzystwo Zapobiegania Narkomanii. https://www.kbpn.gov.pl/portal... (data dostępu: 18.09.2022 r.).
 
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