Self-regulation
Does time management fuel nursing students’ innovation?
Open access · cc by · source: Europe PMC
In 763 undergraduate nursing students, time-management scores predicted innovative behavior both directly (effect 0.263) and through academic self-efficacy and flow (total mediation 62.9%).
How this study connects
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Study at a glance
- Design
- Cross-sectional — Questionnaire survey of undergraduate nursing students with a chain-mediation SEM (time management → self-efficacy → flow → innovative behavior)
- N
- N=763 · 763 valid questionnaires from 3 Jiangsu universities; 95.38% effective response; ages 17–22 (mean 19.55)
- Population
- Undergraduate nursing students at three universities in Jiangsu Province, China
- Outcome
- Innovative behavior, with academic self-efficacy and flow as mediators of time-management disposition
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Inspect source passages
Does time management fuel nursing students’ innovation?
These passages occur verbatim in the stored paper text. They support the points listed below; they do not verify every statement in the explanation.
763 valid questionnaires; 95.38% effective response.
Ultimately, 763 valid questionnaires were collected, resulting in an effective response rate of 95.38%.
Direct effect of time management on innovative behavior was 0.263.
The results of the Bootstrap analysis revealed that the direct effect of time management disposition on innovative behavior was significant (effect size 0.263).
Key findings
Time management correlated with self-efficacy (r=0.691), flow (0.732), and innovation (0.630). Direct path 0.263; self-efficacy mediation 0.115; flow 0.205; chain 0.126. Model fit was good (RMSEA 0.050, CFI 0.982).
Methodology
Surveyed students at three Jiangsu universities with time-management, academic self-efficacy, flow, and innovative-behavior scales, then tested a chain-mediation structural equation model with 5,000 bootstraps.
Limitations
Cross-sectional self-report cannot prove that teaching time management causes innovation; common-method bias and one province limit causal claims.
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