Cited by 326Impact of Technology on AdolescentsChild Development and Digital TechnologyInnovative Human-Technology Interaction

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Do smartphone usage scales predict behavior?

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Ellis, David A., Davidson, Brittany I., Shaw, Heather, Geyer, Kristoffer·2019·International Journal of Human-Computer Studies

DOI 10.1016/j.ijhcs.2019.05.004

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Abstract

Understanding how people use technology remains important, particularly when measuring the impact this might have on individuals and society. However, despite a growing body of resources that can quantify smartphone use, research within psychology and social science overwhelmingly relies on self-reported assessments. These have yet to convincingly demonstrate an ability to predict objective behavior. Here, and for the first time, we compare a variety of smartphone use and ‘addiction’ scales with objective behaviors derived from Apple's Screen Time application. While correlations between psychometric scales and objective behavior are generally poor, single estimates and measures that attempt to frame technology use as habitual rather than ‘addictive’ correlate more favorably with subsequent behavior. We conclude that existing self-report instruments are unlikely to be sensitive enough to accurately predict basic technology use related behaviors. As a result, conclusions regarding the psychological impact of technology are unreliable when relying solely on these measures to quantify typical usage.

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Possessions and the Extended Self
Belk, R. W. (1988) · Journal of Consumer Research · doi:10.1086/209154 · Cited by 9,064
Constructing validity: Basic issues in objective scale development.
Clark, L. A., & Watson, D. (1995) · Psychological Assessment · doi:10.1037/1040-3590.7.3.309 · Cited by 6,567
Validation of the five-factor model of personality across instruments and observers.
McCrae, R. R., & Costa, P. T. (1987) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.52.1.81 · Cited by 6,404
Top 10 algorithms in data mining
Wu, X., Kumar, V., Ross Quinlan, J., Ghosh, J., Yang, Q., Motoda, H., McLachlan, G. J., Ng, A., Liu, B., Yu, P. S., et al. (2008) · Knowledge and Information Systems · doi:10.1007/s10115-007-0114-2 · Cited by 5,667
The Smartphone addiction scale: development and validation of a short version for adolescents
Kwon, M., Kim, D.-J., Cho, H., & Yang, S. (2013) · PLoS ONE · doi:10.1371/journal.pone.0083558 · Cited by 2,177
Increases in Depressive Symptoms, Suicide-Related Outcomes, and Suicide Rates Among U.S. Adolescents After 2010 and Links to Increased New Media Screen Time
Twenge, J. M., Joiner, T. E., Rogers, M. L., & Martin, G. N. (2018) · Clinical Psychological Science · doi:10.1177/2167702617723376 · Cited by 1,705
Problematic smartphone use: a conceptual overview and systematic review of relations with anxiety and depression psychopathology.
Elhai, J. D., Dvorak, R. D., Levine, J. C., & Hall, B. J. (2017) · Journal of Affective Disorders · doi:10.1016/j.jad.2016.08.030 · Cited by 1,689 · cited 1×
“…these assessments tends to use high-scores to correlate smartphone usage with a variety of negative outcomes (e.g., depression and anxiety) (e.g., Elhai, Dvorak, Levine, & Hall, 2017; Richardson, Hussain, & Griffiths, 2018) and provide evidence for the classification of a behavioral addiction…”
Background
Psychology as the science of self-reports and finger movements: whatever happened to actual behavior?
Baumeister, R. F., Vohs, K. D., & Funder, D. C. (2007) · Perspectives on Psychological Science · doi:10.1111/j.1745-6916.2007.00051.x · Cited by 1,629
Psychological Predictors of Problem Mobile Phone Use
Bianchi, A., & Phillips, J. G. (2005) · CyberPsychology & Behavior · doi:10.1089/cpb.2005.8.39 · Cited by 1,514
Can disordered mobile phone use be considered a behavioral addiction? An update on current evidence and a comprehensive model for future research
Billieux, J., Maurage, P., Lopez-Fernandez, O., Kuss, D. J., & Griffiths, M. D. (2015) · Current Addiction Reports · doi:10.1007/s40429-015-0054-y · Cited by 1,205

Show all 59 references

Research works printed but not linked: 1

Csibi, 2016, A Rövid Okostelefon Addikció Kérdoív (ROTAK) kidolgozása és pszichometriai validálása iskoláskorú gyermekekkel. TT - [Development and psychometric validation of the Brief Smartphone Addiction Scale (BSAS) with schoolchidren], Psychiatr. Hung.

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Authors: Ellis, D. A., Davidson, B. I., Shaw, H., & Geyer, K.
Affiliations: Lancaster University (GB)
University of Bath (GB)
University of Lincoln (GB)
Corresponding author: Ellis, David A.
ORCID: Ellis, David A.
Davidson, Brittany I.
Shaw, Heather
Venue: International Journal of Human-Computer Studies
Publisher: Elsevier BV
Published: 2019-10
Volume: 130
Pages: 86-92
ISSN: 1071-5819 (ISSN-L)
DOI: 10.1016/j.ijhcs.2019.05.004
OpenAlex: W2942805235
Semantic Scholar: 0d1a5d44d54de6b5dce0722f1880e3e00a6ce4cd
Cited by: 326
References: 59
Citations by year: 2026: 34 · 2025: 32 · 2024: 26 · 2023: 44 · 2022: 41 · 2021: 62 · 2020: 68 · 2019: 18
FWCI: 95.08
Type: journal article
Language: en
Open access: green
doi.org
Licence: cc-by
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: International Journal of Human-Computer Studies (publishedVersion)
Bristol Research (University of Bristol) (publishedVersion, other-oa)
Lancaster EPrints (Lancaster University) (submittedVersion)
Pure (University of Bath) (submittedVersion, cc-by-nc-nd)
PsyArXiv (OSF Preprints) (submittedVersion)
PsyArXiv (OSF Preprints) (submittedVersion, cc-by)
Topics: Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
Social Sciences › Education › Child Development and Digital Technology
Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
Keywords: smartphone use, self-report measures, technology addiction, habit, scale validity

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