| layout | default |
|---|---|
| title | 🎓 Student-Survey-Quality-Bias-Audit - Understand Student Mental Health Effectively |
| description | 📊 Audit student surveys for quality and bias, ensuring coverage, representativeness, and data validity for reliable insights. |
This guide will help you download and run the Student-Survey-Quality-Bias-Audit software. Designed for ease of use, this tool audits student mental health survey data to highlight areas of concern, such as bias risks and data quality.
- Coverage and Sample Imbalance: Identify gaps in survey coverage.
- Validity Checks: Ensure data integrity and trustworthiness.
- Bias Analysis: Evaluate measurement and selection biases.
- Text Conversion: Transform open-text responses into clear categories.
- Output Reports: Generate markdown reports, figures, and interactive dashboards.
To run this software, you need:
- Operating System: Windows, macOS, or Linux
- Memory: At least 4 GB of RAM
- Python Version: 3.7 or later
- Storage: At least 500 MB of free space
To get started, follow these steps:
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Visit the Releases Page: Click the link below to access the latest version.
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Download the Latest Release: Look for the most recent version listed on the page. You will see a file titled
Student-Survey-Quality-Bias-Audit.zip. Click on it to download. -
Extract the Files: Once downloaded, locate the file on your computer. Right-click on the zip file and select "Extract All." Follow the prompts to unpack the files.
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Run the Application: Open the extracted folder. You will see an executable file named
start_app.py. Double-click to run the software. If prompted, confirm any security warnings. -
Follow On-Screen Instructions: The application will guide you through the process. You can import your survey data to begin the analysis.
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Prepare Your Data: Ensure your survey data is in a supported format, such as CSV. If your data includes open-text responses about stress causes, the software will help categorize these.
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Import Your Data: In the application, click on the "Import" button. Navigate to your data file and select it.
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Analyze: After importing your data, select the options you wish to analyze. You can check for bias risks, validity, and generate reports.
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View Results: The application will display your results on a dashboard. You can review charts and findings that highlight areas of concern.
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Export Your Report: If you would like to keep your results, use the "Export" feature to save a Markdown report on your device.
The application generates several outputs, including:
- Markdown Report: A detailed report outlining your analysis and findings.
- Visualizations: Figures that illustrate key insights and areas of potential bias.
- Streamlit Dashboard: An interactive experience allowing you to explore your data further.
If you encounter any issues or have questions, you can reach out for support:
- GitHub Issues: Add a new issue in the repository.
- Community Forum: Join discussions with other users and contribute to ongoing developments.
We plan to expand the features of this application. Upcoming updates may include:
- Additional data formats for import.
- Enhanced reporting capabilities.
- Improved visual analytics tools.
Stay tuned for updates on the Releases Page.
This project is licensed under the MIT License. You can use it freely but please attribute the original author.
We welcome contributions! If you have suggestions for improvements or new features, feel free to fork the repository and submit a pull request.
We invite you to start exploring the data and insights this tool provides. Download the tool, and take a step towards understanding student mental health more deeply.