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How students' self-control and smartphone-use explain their academic performance
Open accessPreprint — published as 10.1016/j.chb.2020.106624 · Paper page
Abstract
Smartphones cause self-control challenges in people’s everyday lives. Supporting this notion, our studies corroborate that trait self-control is negatively associated (1) with students’ distraction (via smartphones) during their learning endeavors (Study 1, N = 446) and (2) with several aspects of problematic smartphone-use (Study 2, N = 421). Study 3 (N = 106) investigated whether distinct aspects of smartphone-use also account for the link between students’ trait self-control and academic performance. Specifically, we examined (1) smartphone procrastination (i.e., irrational task delays via smartphone), (2) beneficial smartphone habits (placing in a bag [placement habit] or turning the sound off [setting habit]), and (3) the objective amount of smartphone-use (minutes spent on the smartphone [screentime] and times picked up [pickups]). In line with our predictions, students higher in trait self-control showed better academic performance (b = 0.22). Smartphone procrastination (b = -0.23) and placement habits (b = 0.21) were significantly associated with academic performance and both also mediated the self-control-performance-link. Our findings suggest that it is not the objective amount of smartphone-use but the effective handling of smartphones that helps students with higher trait self-control to fare better academically. Implications for future research are discussed from a self-regulatory perspective on smartphone-use.
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“Thus, personal traits (i.e., self-control and self-efficacy) help students to effectively handle smartphone use in order to achieve better academic performance [21]”
From Personal Profiles, Family Environment, Patterns of Smartphone Use, Nomophobia, and Smartphone Addiction across Low, Average, and High Perceived Academic Performance Levels among High School Students in the Philippines (2021) · cites this paper as [21]
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Cites
Statistical Power Analysis for the Behavioral Sciences
Muller, K. E., & Cohen, J. (1989) · Technometrics · doi:10.2307/1270020 · Cited by 99,603
Faul, F., Erdfelder, E., Lang, A.-G., & Buchner, A. (2007) · Behavior Research Methods · doi:10.3758/bf03193146 · Cited by 65,971
Statistical power analysis for the behavioral sciences
Cohen, J. (1990) · Computers Environment and Urban Systems · doi:10.1016/0198-9715(90)90050-4 · Cited by 65,417
(2013) · Cited by 44,563
Statistical Power Analysis for the Behavioral Sciences (2nd ed.).
Lachenbruch, P. A., & Cohen, J. (1989) · Journal of the American Statistical Association · doi:10.2307/2290095 · Cited by 37,421
(2010) · Intellectum (Universidad de La Sabana) · doi:10.1111/j.1467- · Cited by 16,131
Introduction to mediation, moderation, and conditional process analysis :
Hayes, A. F., & names (2015) · Cited by 7,004
High self-control predicts good adjustment, less pathology, better grades, and interpersonal success
Tangney, J. P., Baumeister, R. F., & Boone, A. L. (2004) · Journal of Personality · doi:10.1111/j.0022-3506.2004.00263.x · Cited by 6,557
Implementation intentions: Strong effects of simple plans.
Gollwitzer, P. M. (1999) · American Psychologist · doi:10.1037/0003-066x.54.7.493 · Cited by 5,478
A gradient of childhood self-control predicts health, wealth, and public safety
Moffitt, T. E., Arseneault, L., Belsky, D., Dickson, N., Hancox, R. J., Harrington, H., Houts, R., Poulton, R., Roberts, B. W., Ross, S., et al. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1010076108 · Cited by 4,885
Research works printed but not linked: 1
- Hancock, G. R., & Mueller, R. O. (2001). Rethinking construct reliability within latent variable systems. In R. Cudeck, S. du Toit, & D. Sörbom (Eds.), Structural equation modeling: Present and future (pp. 195-216). Scientific Software International.
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Metadata
- Authors
- Troll, E. S., Friese, M., & Loschelder, D. D.
- Affiliations
- Leuphana University of Lüneburg (DE)
- Saarland University (DE)
- Corresponding author
- Troll, Eve Sarah
- Venue
- Computers in Human Behavior
- Publisher
- Center for Open Science
- Published
- 2020-11-25
- Volume
- 117
- Pages
- 106624-106624
- ISSN
- 0747-5632 (ISSN-L)
- OpenAlex
- W3103416490
- Cited by
- 107
- References
- 65
- Citations by year
- 2026: 21 · 2025: 19 · 2024: 20 · 2023: 18 · 2022: 24 · 2021: 5
- FWCI
- 15.72
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Locations
- Computers in Human Behavior (publishedVersion)
- Multilingual Matters (Channel View Publications) (submittedVersion)
- PsyArXiv (OSF Preprints) (submittedVersion, cc-by)
- PsyArXiv (OSF Preprints) (submittedVersion)
- Funders
- Bundesministerium für Bildung und Forschung (01PZ16001B)
- European Social Fund
- Topics
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Cyberloafing and Workplace Behavior
- Social Sciences › Decision Sciences › Information Systems and Management › Personal Information Management and User Behavior
- Keywords
- trait self-control, smartphone use, academic performance, students, smartphone addiction, screen time, self-regulation, mediation
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