College Student Sleep Quality Survey Data with Mediation Analysis

A cross-sectional survey of college students collected self-reported data on physical activity, rumination, emotion regulation strategies, and sleep quality. The dataset includes results from correlation analysis and structural equation modeling, with bootstrapping used to test a chain mediation model. The data was uploaded by Yingying Gu on figshare in May 2026.

Use Cases

• Analyze associations between physical activity levels and sleep quality based on self-reported questionnaire scores.
• Test mediation models involving rumination and emotion regulation strategies based on the structural equation modeling results.
• Explore the sequential indirect pathways (physical activity → rumination → cognitive reappraisal → sleep quality) described in the study.
• Validate the reported total indirect effect of -0.029 with a 95% CI [-0.035, -0.023] using the provided data.

Strengths

• The dataset is associated with a detailed methodological description including bootstrapping and structural equation modeling.
• Specific effect sizes and confidence intervals are reported for mediation pathways (e.g., effect = -0.003).
• The data is openly licensed under CC-BY-4.0.

Limitations

• The dataset is only 11.5 KB, suggesting a very limited scope or a summary of results rather than raw survey data.
• Column-level documentation is absent; field semantics must be inferred after download.
• The cross-sectional design, as noted in the conclusion, limits causal inference.

Provenance

Source

figshare

Collection Method

Self-report questionnaires administered to college students.

Freshness

Last updated 2026-05-18 04:16:57; freshness should be verified.