Exploring the Dimensions of Smartphone Distraction
Development, Validation, Measurement Invariance, and Latent Mean Differences of the Smartphone Distraction Scale (SDS)
Bibliographic Data
| ID | 15520909 |
|---|---|
| Authors | Melina A Throuvala (0000-0003-4617-5263, Nottingham Trent University, corresponding author), Halley M Pontes (0000-0001-8020-7623, Birkbeck, University of London), Ioannis Tsaousis (0000-0002-3830-219X, Crete University Press), Mark D Griffiths (0000-0001-8880-6524, Nottingham Trent University), Mike Rennoldson (0000-0002-7131-8740, Nottingham Trent University), Daria J Ku (0000-0001-8917-782X, Nottingham Trent University) |
| Year | 2021 |
| Volume | 12 |
| Pages | 642634-642634 |
| Publication date | 2021-03-08 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Psychiatry (JOURNAL) |
| Journal identifiers | ISSN: 1664-0640 • E-ISSN: 1664-0640 |
| Publisher | Frontiers Media (PUBLISHER • CH) |
| DOI | 10.3389/fpsyt.2021.642634 |
| PMID | 33762981 |
| OpenAlex | W3135199720 |
| Language | EN |
| Citations received | 25 |
| References cited | 113 |
Background: Distraction is a functional emotion regulation strategy utilized to relieve emotional distress. Within the attention economy perspective, distraction is increasingly associated with digital technology use, performance impairments and interference with higher-order cognitive processes. Research on smartphone distraction and its association with problematic smartphone use is still scarce and there is no available psychometric assessment tool to assess this cognitive and emotive process parsimoniously. Method: The present study reports the development and evaluation of the psychometric properties of the Smartphone Distraction Scale (SDS) through exploratory and confirmatory factor analysis, construct validity, gender invariance, and latent mean differences. The study was conducted in a sample of British university students ( N = 1,001; M = 21.10 years, SD = 2.77). Results: The 16-item SDS was best conceptualized in a four-factor model solution comprising attention impulsiveness, online vigilance, emotion regulation , and multitasking . Construct validity was established using relevant psychosocial and mental health measures, with SDS scores being moderately associated with deficient self-regulation and problematic social media use. Gender measurement invariance was achieved at the configural, metric, and scalar levels, and latent mean differences indicated that females had significantly higher means than males across all four SDS latent factors. Discussion: The SDS presents with several strengths, including its theoretical grounding, relatively short length, and sound psychometric properties. The SDS enables the assessment of distraction, which appears to be one of the pathways to problematic smartphone use facilitating overuse and overreliance on smartphones for emotion regulation processes. The assessment of distraction in relation to problematic use in vulnerable populations may facilitate interventions that could encourage metacognition and benefit these groups by allowing sustained productivity in an increasingly disrupted work and social environment
Cognitive psychology · Confirmatory factor analysis · Construct (python library · Construct validity · Developmental psychology · Distraction · Exploratory factor analysis · Measurement invariance · Psychometrics · Psychosocial · Structural equation modeling · Child Development and Digital Technology · Computer Science · Impact of Technology on Adolescents · Perfectionism, Procrastination, Anxiety Studies · Psychology
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The digital well-being among learners in higher education
School-based interventions for problematic digital technology use
Negative life events and problematic smartphone use among university students
Modelling the contribution of metacognitions and expectancies to problematic smartphone use
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Psychological Stress and Disease
Social Facilitation
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Determining the number of factors using parallel analysis and its recent variants.
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The association between smartphone use, stress, and anxiety
Brain Drain
The influence of depressive symptoms and fear of missing out on severity of problematic smartphone use and Internet gaming disorder among Chinese young adults
Relationship among smartphone usage, addiction, academic performance and the moderating role of gender
Exploratory Factor Analysis
A Review and Synthesis of the Measurement Invariance Literature
Evaluating Goodness-of-Fit Indexes for Testing Measurement Invariance
Sensitivity of Goodness of Fit Indexes to Lack of Measurement Invariance
A Rationale and Test for the Number of Factors in Factor Analysis
Measurement Invariance, Factor Analysis and Factorial Invariance
A ‘components’ model of addiction within a biopsychosocial framework
A checklist for testing measurement invariance
Emotion Regulation
A Brief Tutorial on the Development of Measures for Use in Survey Questionnaires
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Comparing Smartphone, WhatsApp, Facebook, Instagram, and Snapchat
Impaired disengagement of attention from computer-related stimuli in Internet Gaming Disorder
Associations between symptoms of problematic smartphone, Facebook, WhatsApp, and Instagram use
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Is it meaningful to distinguish between Facebook addiction and social networking sites addiction? Psychometric analysis of Facebook addiction and social networking sites addiction scales
Smartphone use and academic performance
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The influence of technology on academic distraction
Multitasking as distraction
Mobile Technology and Social Media
Congeneric and (Essentially) Tau-Equivalent Estimates of Score Reliability
The Application of Electronic Computers to Factor Analysis
Testing Configural, Metric, Scalar, and Latent Mean Invariance Across Genders in Sociotropy and Autonomy Using a Non-Western Sample
Social Networking Addiction
Internet Addiction in Adolescents
The invisible addiction
Motivators of online vulnerability
Problematic Internet use and psychosocial well-being
Antecedents and consequences of problematic smartphone use
Out of sight is not out of mind
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Fear of missing out, need for touch, anxiety and depression are related to problematic smartphone use
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Unregulated Internet Usage
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How “phubbing” becomes the norm
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Internet addiction in students
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Two dimensions of problematic smartphone use mediate the relationship between fear of missing out and emotional well-being
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Disrupted Daily Activities From Interruptive Smartphone Notifications
Evaluating Evidence for Conceptually Related Constructs Using Bivariate Correlations
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Large sample size, significance level, and the effect size
Distraction as a source of drive in social facilitation research
Goodness-of-fit indexes in confirmatory factor analysis
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| Unique citing works | 25 |
|---|---|
| Citations per year | 5 |
| Citation span | 2021 - 2026 (6) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 25 |