College Student Academic Performance Profiles from Henan Province, 2025

548 undergraduate students from Henan Province universities were surveyed between May and July 2025. The study used latent profile analysis to identify two distinct student categories: 'Low Self-Regulators' and 'High Self-Regulators'. Hui Li published the results under a CC-BY-4.0 license in May 2026.

Use Cases

• Predicting student academic performance categories based on psychological and behavioral survey scores.
• Identifying key risk factors like self-efficacy and social support associated with lower academic self-regulation.
• Training classification models to differentiate between 'Low Self-Regulators' and 'High Self-Regulators'.
• Analyzing the relationship between procrastination, work engagement, and academic performance outcomes.

Strengths

• Data from 548 undergraduate students provides a substantial sample for analysis.
• The effective survey response rate was 94%, suggesting high data completeness.
• Analysis employed multiple validated psychological scales, including the General Self-Efficacy Scale and Utrecht Work Engagement Scale-Student.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Data is limited to a convenience sample from universities in Henan Province, China, which may limit generalizability.
• The dataset is small at 377.4 KB, indicating limited scope.

Provenance

Source

Hui Li via figshare

Collection Method

Convenience sampling survey using psychological scales and a demographic questionnaire.

Time Range

Data collected between May and July 2025.

Freshness

Last updated 2026-05-13 05:35:24

Geography

Universities in Henan Province, China.