AmirhosseinHonardoust/Student-Survey-Quality-Bias-Audit

Portfolio-grade audit of a student mental health & academic pressure survey. Measures coverage and sample imbalance, runs validity checks, highlights measurement and selection bias risks, and converts messy open-text “stress causes” into a transparent taxonomy. Ships a Markdown report, figures, and a Streamlit dashboard.

26
/ 100
Experimental

This project helps researchers and educators assess the trustworthiness of student mental health and academic pressure surveys. You provide a raw survey dataset, and it produces a detailed audit report, explanatory figures, and a dashboard highlighting potential biases and data quality issues. The primary users are survey owners, research coordinators, and data analysts who need to validate survey insights.

Use this if you need to thoroughly check a student survey for biases, understand its limitations, and get clear recommendations for improving future data collection.

Not ideal if you're looking for a simple data visualization tool or if your main goal is to conduct advanced statistical modeling on an already validated dataset.

student-surveys survey-research education-research data-quality-audit bias-detection
No Package No Dependents
Maintenance 10 / 25
Adoption 5 / 25
Maturity 11 / 25
Community 0 / 25

How are scores calculated?

Stars

11

Forks

Language

Python

License

MIT

Last pushed

Feb 01, 2026

Commits (30d)

0

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