Abstract
Peilin Chen
Abstract
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10.1017/s0140525x22003156 · 2023
Statistical power analyses using G*Power 3.1: Tests for correlation and regression analyses
10.3758/brm.41.4.1149 · 2009
Attention hijacked: How social media notifications disrupt cognitive processing
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Evaluating the dimensionality and psychometric properties of the Brief Self-Control Scale amongst Chinese university students
10.3389/fpsyg.2019.02903 · 2020
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10.1016/j.chbr.2022.100170 · 2022
Validation of the Chinese version of the Smartphone Distraction Scale
10.1016/j.heliyon.2024.e31807 · 2024
Partial Least Squares Structural Equation Modeling (PLS-SEM) in second language and education research: Guidelines using an applied example
10.1016/j.rmal.2022.100027 · 2022
The shortcomings of equal weights estimation and the composite equivalence index in PLS-SEM
10.1108/ejm-04-2023-0307 · 2024
A new criterion for assessing discriminant validity in variance-based structural equation modeling
10.1007/s11747-014-0403-8 · 2015
The impact of smartphone usage frequency on university students' academic performance: A meta-analysis of moderating factors
10.1016/j.actpsy.2025.105374 · 2025
Chinese internet policies: Historical reflections and new research directions
10.1177/20570473251316590 · 2025
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10.3390/bs14090820 · 2024
Common method bias in PLS-SEM: A full collinearity assessment approach
10.4018/ijec.2015100101 · 2015
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10.3389/fpsyg.2025.1524645 · 2025
Why is it so hard to do my work? The challenge of attention residue when switching between work tasks
10.1016/j.obhdp.2009.04.002 · 2009
Tasks interrupted: How anticipating time pressure on resumption of an interrupted task causes attention residue and low performance on interrupting tasks and how a “ready-to-resume” plan mitigates the effects
10.1287/orsc.2017.1184 · 2018
Digital distractions in education: A systematic review of research on causes, consequences and prevention strategies
2025
Bias in cross-sectional analyses of longitudinal mediation
10.1037/1082-989x.12.1.23 · 2007
Taking engagement to task: The nature and functioning of task engagement across transitions
10.1037/apl0000428 · 2020
Cross-sectional analysis of longitudinal mediation processes
10.1080/00273171.2018.1454822 · 2018
Perpetually preoccupied: Applying interference framework to understand the effects of smartphone use and vibrations on an academic task
2024
A review of self-regulated learning: Six models and four directions for research
10.3389/fpsyg.2017.00422 · 2017
Permanently online and permanently connected: Development and validation of the Online Vigilance Scale
10.1371/journal.pone.0205384 · 2018
High self-control predicts good adjustment, less pathology, better grades, and interpersonal success
10.1111/j.0022-3506.2004.00263.x · 2004
High self-control predicts good adjustment, less pathology, better grades, and interpersonal success
2018
How students’ self-control and smartphone-use explain their academic performance
10.1016/j.chb.2020.106624 · 2021
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The academic task performance scale: Psychometric properties, and measurement invariance across ages, genders and nations
10.3389/feduc.2024.1281859 · 2024
Breaking free from the “digital rabbit hole”: A configurational analysis of in-class smartphone distraction among university students
10.1016/j.iheduc.2024.100949 · 2024
Self-efficacy: An essential motive to learn
10.1006/ceps.1999.1016 · 2000
Becoming a self-regulated learner: An overview
10.1207/s15430421tip4102_2 · 2002
No additional external references are available.