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PreprintCited by 107Impact of Technology on AdolescentsCyberloafing and Workplace BehaviorPersonal Information Management and User Behavior

The DOI matches its Crossref record; 67 of the 67 references it cites were found in a registry or an index.

How students' self-control and smartphone-use explain their academic performance

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Troll, Eve Sarah, Friese, Malte, Loschelder, David D.·2020·Computers in Human Behavior
DOI 10.31234/osf.io/27stp

Preprint — published as 10.1016/j.chb.2020.106624 · Paper page

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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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  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
ORCID
Venue
Computers in Human Behavior
Publisher
Center for Open Science
Published
2020-11-25
Volume
117
Pages
106624-106624
ISSN
0747-5632 (ISSN-L)
DOI
10.31234/osf.io/27stp
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
Licence
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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