Validity and reliability of the Turkish version of the Smartphone Addiction Scale-Short Version among university students

2015 ◽  
Vol 16 ◽  
pp. 73 ◽  
Author(s):  
Cemal Noyan ◽  
Asli Darcin ◽  
Serdar Nurmedov ◽  
Onat Yilmaz ◽  
Nesrin Dilbaz
Author(s):  
André Luiz Monezi Andrade ◽  
Dai-Jin Kim ◽  
Verônica Vidotto Caricati ◽  
Gabriella Di Girolamo Martins ◽  
Isabeli Kaori Kirihara ◽  
...  

Abstract This study sought evidence of the validity of the Smartphone Addiction Scale-Short Version for a Brazilian sample of 718 individuals, amongst university students (n = 387, M age = 22.1 years) and adults (n = 331, M age = 35.2 years), who completed a sociodemographic questionnaire and the scale. The transcultural adaptation was carried out using specific protocols as recommended by expert’s committees. The factorial structure was evaluated by three methods: Confirmatory Factor Analysis, Principal Component Analysis, and Network Analysis. The adjustment parameters were not adequate and Principal Component Analysis explained 39.2% of the variance. The scale showed good reliability (α = 0.81) and a 39.4% prevalence of problematic phone use. The Network Analysis indicated that the correlations between the items were similar in the two populations. This is an unpublished study evaluating the usage pattern of smartphones in a sample of the adult population from all Brazilian states.


Author(s):  
Ubaidullah Abid ◽  
Tooba Jawed Khan ◽  
Asif Sheikh ◽  
Saud Saleem ◽  
Hammad Afzal Kayani ◽  
...  

Background: Pakistan demographic and health survey (PDHS) estimated extensive ownership of cell phones in Pakistan with 94.7% in the urban population. Pakistan Advertiser Company reported 77 % of cell phone users aged between 21-30 years. Although, no research was conducted with university population for addiction and depression, so this study aims to find the link between Smartphone addiction and depression in SZABIST University students of Karachi, Pakistan.Methods: Cross-sectional study was conducted with self-assessment tools, comprised of three sections: socio-demographic information, smartphone addiction scale-short version (SAS-SV) and Beck’s depression inventory-II (BDI-II). Responses for SAS-SV were rated on a 6-point Likert scale and BDI-II was summated on range 0-60. Percentages mean score was commuted for SAS-SV; the mean score was computed and categorized for BDI-II. Descriptive statistics and regression analysis were used for data analysis. Statistical significance was set at p<0.01.Results: Total participants were N=225, of which 140 (62.2%) were males and 85 (35.8%) were females. The mean±SD of their ages were 20.9±2.9. Age was found insignificant with depression after applying multiple linear regressions. Mean score of SAS-SV was 54.8±17.2, and BDI-II was13.4±9.6, which showed a significant positive association (OR, 0.241; 95% CI, 0.2 to 0.3; p<0.001). Prior adjusting coefficient, males were speculated having a higher level of depression.Conclusions: A significant positive correlation was found between Smartphone addiction and depression, among University Students of SZABIST. Control smartphones usage is advised for undergraduate students as they are more prone to depression compared to postgraduate students.


2020 ◽  
Vol 37 (1) ◽  
Author(s):  
Betul Ozcan ◽  
Nurhan Meydan` Acimis

Objective: Research shows that poor sleep quality and smartphone addiction are common problems among university students. This study was planned to evaluate the quality of sleep in students at Pamukkale University and to investigate its relationship with smartphone addiction. Methods: This cross-sectional study was carried out at the university campus in 2017-2018. Its dependent variable was low sleep quality. Independent variables were smartphone addiction, features related to smartphone addiction, socio-demographic features and other questioned features. The total number of students attending normal education in seven faculties and two colleges for four years was 20862. The minimum sample size of the study was calculated as 1088. Smartphone Addiction Scale-Short Version (SAS-SV) and Pittsburgh Sleep Quality Index (PSQI) were used. The data were analyzed with the SPSS program. Results: The mean age was of the participants 21.39 ± 2.21. The sleep quality of students with a PSQI total score of more than five was defined as ‘poor’. The frequency of poor sleep quality was 52.4%. The frequency of smartphone addiction was 34.6% according to the SAS-SV scale. It was found that the frequency of poor sleep quality was significantly higher in students with smartphone addiction compared to others. Conclusion: Smartphone addiction was found as one of the risk factors for poor sleep quality. doi: https://doi.org/10.12669/pjms.37.1.3130 How to cite this:Ozcan B, Acimis NM. Sleep Quality in Pamukkale University Students and its relationship with smartphone addiction. Pak J Med Sci. 2021;37(1):206-211. doi: https://doi.org/10.12669/pjms.37.1.3130 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


2021 ◽  
Author(s):  
Aleksandra Nikolic ◽  
Bojana Bukurov ◽  
Ilija Kocic ◽  
Ivan Soldatovic ◽  
Sladjana Mihajlovic ◽  
...  

Abstract Background: In recent years, the need for validated and reliable questionnaires for different applications could be observed throughout scientific literature. To add to this trend, we translated into Serbian the Smartphone Addiction Scale-Short Version (SAS-SV) and tested it for its psychometric properties. This study's main aims were to test the Serbian version of the SAS-SV's internal consistency and reliability and estimate smartphone addiction prevalence among medical students. Methods: The study was conducted in December 2018 on a representative sample of third-year medical students. The cross-cultural adaptation was performed following the well-established guidelines for cross-cultural adaptation of self-reported measures. For test-retest reliability, students filled the questionnaire twice, within seven days. Results: The Serbian version of 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 51,5% of the variance. To explore construct validity furthermore, 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. Conclusion: The SAS-SV in the Serbian version 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.


2006 ◽  
Vol 34 (5) ◽  
pp. 467-486 ◽  
Author(s):  
Demet Öngen

This study examined the effects of gender, academic domain and grade level on attitudes towards women in 626 Turkish university students. Undergraduates were drawn from Faculty of Education, the School of Health, Faculty of Economics and Administrative Sciences, and Faculty of Engineering. A Turkish version of the short version of the Attitude Towards Women Scale (Spence, Helmreich, & Stapp, 1973) was administered and factor analyzed. ANOVA results applied on total scores revealed only a significant main effect of gender on attitude towards women. Females reported significantly more liberal views than males. MANOVA results applied on 6 subscales showed that females were more liberal in vocational, educational and intellectual behavior; freedom and independence; drinking, swearing and dirty jokes and marital relations. Dating, etiquette and courtship, and premarital sexual behavior subscales indicated males' and females' views were not significantly different.


Sign in / Sign up

Export Citation Format

Share Document