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🎓 Student-Survey-Quality-Bias-Audit - Understand Student Mental Health Effectively

🚀 Getting Started

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.

📋 Features

• 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.

💻 System Requirements

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

🔗 Download & Install

To get started, follow these steps:

1. Visit the Releases Page: Click the link below to access the latest version.

   Download from Releases Page

2. 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.

3. 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.

4. 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.

5. Follow On-Screen Instructions: The application will guide you through the process. You can import your survey data to begin the analysis.

🌟 How to Use the Application

1. 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.

2. Import Your Data: In the application, click on the “Import” button. Navigate to your data file and select it.

3. Analyze: After importing your data, select the options you wish to analyze. You can check for bias risks, validity, and generate reports.

4. View Results: The application will display your results on a dashboard. You can review charts and findings that highlight areas of concern.

5. Export Your Report: If you would like to keep your results, use the “Export” feature to save a Markdown report on your device.

📊 Understanding the Output

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.

🌐 Support and Community

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.

🔄 Future Improvements

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.

📜 License

This project is licensed under the MIT License. You can use it freely but please attribute the original author.

📝 Contributions

We welcome contributions! If you have suggestions for improvements or new features, feel free to fork the repository and submit a pull request.

🚀 Get Started Today!

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.

Download from Releases Page