Adaptation and Psychometric Evaluation of the Turkish Version of the Reflective Smartphone Disengagement Scale for Nursing Students
Dublin Core
Title
Adaptation and Psychometric Evaluation of the Turkish Version of the Reflective Smartphone Disengagement Scale for Nursing Students
Subject
Psychometrics; smartphone disengagement; nursing students; scale adaptation; scale validation
Description
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.
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.
Creator
Nehir Yasan-Ak1, Kerime Bademli2
Source
https://doi.org/10.14710/nmjn.v15i3.72361
Date
30 December 2025
Contributor
peri irawan
Format
pdf
Language
english
Type
text
Files
Collection
Citation
Nehir Yasan-Ak1, Kerime Bademli2, “Adaptation and Psychometric Evaluation of the Turkish Version of the Reflective Smartphone Disengagement Scale for Nursing Students,” Repository Horizon University Indonesia, accessed February 21, 2026, https://repository.horizon.ac.id/items/show/11333.