BibTex Citation Data :
@article{NMJN72361, author = {Nehir Yasan Ak and Kerime Bademli}, title = {Adaptation and Psychometric Evaluation of the Turkish Version of the Reflective Smartphone Disengagement Scale for Nursing Students}, journal = {Nurse Media Journal of Nursing}, volume = {15}, number = {3}, year = {2025}, keywords = {Nursing students; psychometrics; scale adaptation; scale validation; smartphone disengagement}, abstract = { Background: Problematic smartphone use among nursing students has been linked to impaired learning and professional performance. While previous research has primarily focused on addictive or compulsive smartphone use, limited attention has been paid to individuals’ intentional and reflective efforts to regulate their smartphone use. Moreover, no validated instrument exists to assess reflective smartphone disengagement among nursing students in the Turkish context. Purpose: This study aimed to adapt and validate the Turkish version of the Reflective Smartphone Disengagement Scale among undergraduate nursing students. Methods: A descriptive, cross-sectional design was employed at a nursing faculty in a public university in the southern region of Türkiye. Using convenience sampling, the study included 376 undergraduate nursing students from all grade levels who owned a smartphone and consented to participate. Sample size adequacy was supported by recommended item-to-participant ratios and an acceptable KMO value. Data were collected using a personal information form, the Reflective Smartphone Disengagement Scale, and the Nomophobia Questionnaire. Face, content, construct, and criterion validity procedures were applied for scale adaptation. Results: Exploratory Factor Analysis (EFA) revealed that the Turkish version of the Reflective Smartphone Disengagement Scale has a two-factor structure with six items, comprising usage moderation (items related to limiting smartphone use across specific times, places, situations, and life balance) and availability management (items related to controlling reachability and intentional disconnection). Internal consistency was acceptable, with Cronbach’s alpha coefficients of .70 and .81, respectively. Confirmatory Factor Analysis indicated a good model fit (CFI = .97, RMSEA = .08). Conclusion: The Turkish version of the Reflective Smartphone Disengagement Scale is a valid and reliable tool for assessing nursing students’ conscious efforts to manage smartphone use and can be utilized in nursing education to identify students’ self-regulatory behaviors and inform interventions aimed at promoting healthy smartphone use in academic and clinical settings. }, issn = {2406-8799}, doi = {10.14710/nmjn.v14i3.72361}, url = {https://ejournal.undip.ac.id/index.php/medianers/article/view/72361} }
Refworks Citation Data :
Background: Problematic smartphone use among nursing students has been linked to impaired learning and professional performance. While previous research has primarily focused on addictive or compulsive smartphone use, limited attention has been paid to individuals’ intentional and reflective efforts to regulate their smartphone use. Moreover, no validated instrument exists to assess reflective smartphone disengagement among nursing students in the Turkish context.
Purpose: This study aimed to adapt and validate the Turkish version of the Reflective Smartphone Disengagement Scale among undergraduate nursing students.
Methods: A descriptive, cross-sectional design was employed at a nursing faculty in a public university in the southern region of Türkiye. Using convenience sampling, the study included 376 undergraduate nursing students from all grade levels who owned a smartphone and consented to participate. Sample size adequacy was supported by recommended item-to-participant ratios and an acceptable KMO value. Data were collected using a personal information form, the Reflective Smartphone Disengagement Scale, and the Nomophobia Questionnaire. Face, content, construct, and criterion validity procedures were applied for scale adaptation.
Results: Exploratory Factor Analysis (EFA) revealed that the Turkish version of the Reflective Smartphone Disengagement Scale has a two-factor structure with six items, comprising usage moderation (items related to limiting smartphone use across specific times, places, situations, and life balance) and availability management (items related to controlling reachability and intentional disconnection). Internal consistency was acceptable, with Cronbach’s alpha coefficients of .70 and .81, respectively. Confirmatory Factor Analysis indicated a good model fit (CFI = .97, RMSEA = .08).
Conclusion: The Turkish version of the Reflective Smartphone Disengagement Scale is a valid and reliable tool for assessing nursing students’ conscious efforts to manage smartphone use and can be utilized in nursing education to identify students’ self-regulatory behaviors and inform interventions aimed at promoting healthy smartphone use in academic and clinical settings.
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