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Adapting the Short Digital Stress Scale (SDSS) into Turkish : validation and psychometric evaluation in adults

Geris, Ali LU orcid ; Esen, Erol and Soylu, Yağmur (2026) In Frontiers in Psychology 16.
Abstract

INTRODUCTION: This study aimed to adapt the Short Digital Stress Scale (SDSS) into Turkish and to evaluate its psychometric properties in an adult population. Digital stress has become increasingly relevant with the widespread and continuous use of digital technologies, highlighting the need for valid and reliable instruments across cultural contexts.

METHODS: A total of 276 adults (72.8% female, 27.2% male; M_age = 27.34, SD = 9.84) completed the SDSS together with established psychological measures, including the Bergen Social Media Addiction Scale, the Short-Form UCLA Loneliness Scale, the Liebowitz Social Anxiety Scale, and the Beck Depression Inventory-II. Confirmatory factor analysis was conducted to test the original... (More)

INTRODUCTION: This study aimed to adapt the Short Digital Stress Scale (SDSS) into Turkish and to evaluate its psychometric properties in an adult population. Digital stress has become increasingly relevant with the widespread and continuous use of digital technologies, highlighting the need for valid and reliable instruments across cultural contexts.

METHODS: A total of 276 adults (72.8% female, 27.2% male; M_age = 27.34, SD = 9.84) completed the SDSS together with established psychological measures, including the Bergen Social Media Addiction Scale, the Short-Form UCLA Loneliness Scale, the Liebowitz Social Anxiety Scale, and the Beck Depression Inventory-II. Confirmatory factor analysis was conducted to test the original five-factor structure of the SDSS. Convergent and concurrent validity were examined through composite reliability (CR), average variance extracted (AVE), and correlation analyses. Internal consistency was assessed using Cronbach's alpha.

RESULTS: Confirmatory factor analysis supported the original five-factor structure-availability stress, approval anxiety, fear of missing out, connection overload, and online vigilance-with good model fit (χ 2/df = 1.32, GFI = 0.99, SRMR = 0.03, RMSEA = 0.03, AGFI = 0.98, CFI = 0.99). Factor loadings ranged from 0.36 to 0.93 ( p < 0.001). CR and AVE values indicated convergent validity for all factors except connection overload. Digital stress showed significant positive correlations with social media addiction, loneliness, social anxiety, and depression. Internal consistency was acceptable (α = 0.77; subdimensions = 0.67-0.85).

DISCUSSION: The findings demonstrate that the Turkish version of the SDSS is a valid and reliable instrument for assessing digital stress among adults. The scale offers a concise and contextually appropriate tool for researchers and practitioners examining the psychological impact of digital engagement in Turkish society.

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author
; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
digital stress, mental health, psychometric properties, Short Digital Stress Scale, Turkish adaptation
in
Frontiers in Psychology
volume
16
article number
1701641
publisher
Frontiers Media S. A.
external identifiers
  • scopus:105028452611
  • pmid:41602702
ISSN
1664-1078
DOI
10.3389/fpsyg.2025.1701641
language
English
LU publication?
yes
id
684e9399-b9d7-42f8-8b5d-12b369932e5c
date added to LUP
2026-01-29 18:26:07
date last changed
2026-05-15 22:00:56
@article{684e9399-b9d7-42f8-8b5d-12b369932e5c,
  abstract     = {{<p>INTRODUCTION: This study aimed to adapt the Short Digital Stress Scale (SDSS) into Turkish and to evaluate its psychometric properties in an adult population. Digital stress has become increasingly relevant with the widespread and continuous use of digital technologies, highlighting the need for valid and reliable instruments across cultural contexts.</p><p>METHODS: A total of 276 adults (72.8% female, 27.2% male; M_age = 27.34, SD = 9.84) completed the SDSS together with established psychological measures, including the Bergen Social Media Addiction Scale, the Short-Form UCLA Loneliness Scale, the Liebowitz Social Anxiety Scale, and the Beck Depression Inventory-II. Confirmatory factor analysis was conducted to test the original five-factor structure of the SDSS. Convergent and concurrent validity were examined through composite reliability (CR), average variance extracted (AVE), and correlation analyses. Internal consistency was assessed using Cronbach's alpha.</p><p>RESULTS: Confirmatory factor analysis supported the original five-factor structure-availability stress, approval anxiety, fear of missing out, connection overload, and online vigilance-with good model fit (χ 2/df = 1.32, GFI = 0.99, SRMR = 0.03, RMSEA = 0.03, AGFI = 0.98, CFI = 0.99). Factor loadings ranged from 0.36 to 0.93 ( p &lt; 0.001). CR and AVE values indicated convergent validity for all factors except connection overload. Digital stress showed significant positive correlations with social media addiction, loneliness, social anxiety, and depression. Internal consistency was acceptable (α = 0.77; subdimensions = 0.67-0.85). </p><p>DISCUSSION: The findings demonstrate that the Turkish version of the SDSS is a valid and reliable instrument for assessing digital stress among adults. The scale offers a concise and contextually appropriate tool for researchers and practitioners examining the psychological impact of digital engagement in Turkish society.</p>}},
  author       = {{Geris, Ali and Esen, Erol and Soylu, Yağmur}},
  issn         = {{1664-1078}},
  keywords     = {{digital stress; mental health; psychometric properties; Short Digital Stress Scale; Turkish adaptation}},
  language     = {{eng}},
  month        = {{01}},
  publisher    = {{Frontiers Media S. A.}},
  series       = {{Frontiers in Psychology}},
  title        = {{Adapting the Short Digital Stress Scale (SDSS) into Turkish : validation and psychometric evaluation in adults}},
  url          = {{http://dx.doi.org/10.3389/fpsyg.2025.1701641}},
  doi          = {{10.3389/fpsyg.2025.1701641}},
  volume       = {{16}},
  year         = {{2026}},
}