Survey on Mentor Support and Innovation Behavior of Postgraduate Students

Survey responses from 1200 postgraduate students collected via questionnaires measuring mentors' innovation support, proactive innovation behavior, innovation efficacy, and creative process engagement. The data was analyzed using Amos 24.0 and SPSS 26.0 software to test correlation and mediation effects. The dataset was authored by Jinyang Wei and published on figshare in April 2026.

Use Cases

• Analyze the correlation between mentors' innovation support and postgraduate proactive innovation behavior based on survey scale scores.
• Test mediation models for innovation efficacy and creative process engagement based on the described chain-mediation effect.
• Validate survey instruments for measuring innovation-related constructs in academic settings.
• Study the psychological mechanisms linking external support to proactive behavior in postgraduate populations.

Strengths

• Survey sample size of 1200 postgraduate students provides a substantial basis for analysis.
• Data collection used validated scales for mentors' innovation support, proactive innovation behavior, innovation efficacy, and creative process engagement.
• Statistical analysis was performed with established software (Amos 24.0 and SPSS 26.0), suggesting methodological rigor.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Geographic and institutional context of the survey sample is unspecified, which may affect generalizability.

Provenance

Source

figshare

Collection Method

Random sampling questionnaire survey of postgraduate students.

Freshness

Last updated 2026-04-29 05:58:02; freshness should be verified.