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.
Implements a multi-stage pipeline using pandas for schema standardization, type coercion, and validity checks against expected ranges; applies entropy and dominance metrics to quantify sample imbalance across demographics. Includes LLM-free text normalization that maps open-ended stress causes into a curated taxonomy with transparent mapping artifacts, enabling downstream analysis without black-box transformations.
Stars
11
Forks
—
Language
Python
License
MIT
Category
Last pushed
Feb 01, 2026
Commits (30d)
0
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