The Validity and Reliability of the Serbian Version of the Smartphone Addiction Scale—Short Version
Aleksandra Nikolic,
Bojana Bukurov,
Ilija Kocic,
Ivan Soldatovic,
Sladjana Mihajlovic,
Dejan Nesic,
Milica Vukovic,
Nikola Ladjevic and
Sandra Sipetic Grujicic
Additional contact information
Aleksandra Nikolic: Institute of Epidemiology, Faculty of Medicine, University of Belgrade, Visegradska 26a, 11129 Belgrade, Serbia
Bojana Bukurov: Clinic of Otorhinolaryngology and Maxillofacial Surgery, Faculty of Medicine, University Clinical Center of Serbia, University of Belgrade, Pasterova 2, 11000 Belgrade, Serbia
Ilija Kocic: Covid Hospital Krusevac, University Clinical Center of Nis, 18000 Nis, Serbia
Ivan Soldatovic: Institute of Medical Statistics and Informatics, Faculty of Medicine, University of Belgrade, Dr Subotica 15, 11000 Belgrade, Serbia
Sladjana Mihajlovic: Hospital for Gynecology and Obstetrics, University Clinical Center “Dr Dragisa Misovic Dedinje”, Heroja Milana Tepica 1, 11000 Belgrade, Serbia
Dejan Nesic: Institute of Medical Physiology, Faculty of Medicine, University of Belgrade, Visegradska 26/II, 11129 Belgrade, Serbia
Milica Vukovic: Institute of Social Medicine, Faculty of Medicine, University of Belgrade, Dr Subotica 15, 11000 Belgrade, Serbia
Nikola Ladjevic: Urology Hospital, University Clinical Centre of Serbia, Resavska 51, 11000 Belgrade, Serbia
Sandra Sipetic Grujicic: Institute of Epidemiology, Faculty of Medicine, University of Belgrade, Visegradska 26a, 11129 Belgrade, Serbia
IJERPH, 2022, vol. 19, issue 3, 1-11
Abstract:
Background and Objectives : Smartphone use has been rapidly increasing worldwide, which has brought possible smartphone addiction into the focus of research. In order to identify potential smartphone addicts, several scales were developed to assess smartphone addiction. Among them, the Smartphone Addiction Scale was frequently used. The study aimed to test the reliability and validity of the Serbian version of the SAS-SV and estimate smartphone addiction prevalence among medical students. Materials and Methods : The study was conducted in December 2018 on a convenience sample of 323 third-year medical students. The cross-cultural adaptation was performed following the well-established guidelines for cross-cultural adaptation of self-reported measures. Exploratory factor analysis was used to examine the structure of the questionnaire. Factor extraction was performed by principal component analysis with Varimax rotation. For test–retest reliability, students completed the questionnaire twice within seven days. Results : The Serbian version of the SAS-SV showed good internal consistency (Cronbach’s alpha = 0.89) and excellent reliability for test–retest scores (ICC = 0.94, 95% CI = 0.92–0.96). Factor analysis supported the extraction of one factor, which explained 51.538% of the variance. To explore convergent validity furthermore, the SAS-SV was correlated with time indicators of smartphone use. According to cut-off values for the SAS-SV score, 19.5% of students could be regarded as “addicted”, and often spent more time on smartphones and social networks on working days and weekends than “not addicted” students. Conclusions : The Serbian version of the SAS-SV is a reliable and valid instrument for detecting smartphone addiction among university students. Further research on this issue is encouraged to enable a better understanding of this ever-increasing public health issue.
Keywords: smartphone; addictive behavior; medical students; validity; reliability (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
https://www.mdpi.com/1660-4601/19/3/1245/pdf (application/pdf)
https://www.mdpi.com/1660-4601/19/3/1245/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jijerp:v:19:y:2022:i:3:p:1245-:d:731168
Access Statistics for this article
IJERPH is currently edited by Ms. Jenna Liu
More articles in IJERPH from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().