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https://github.com/exios66/cronbach-alpha
RUST - Psychometrics
https://github.com/exios66/cronbach-alpha
Last synced: about 2 months ago
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RUST - Psychometrics
- Host: GitHub
- URL: https://github.com/exios66/cronbach-alpha
- Owner: Exios66
- License: mit
- Created: 2024-11-04T20:31:31.000Z (2 months ago)
- Default Branch: main
- Last Pushed: 2024-11-05T19:41:44.000Z (2 months ago)
- Last Synced: 2024-11-05T20:34:30.717Z (2 months ago)
- Language: HTML
- Homepage: https://exios66.github.io/Cronbach-Alpha/
- Size: 21.5 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Cronbach-Alpha
RUST - Psychometrics
I'll help you create a comprehensive README.md file for your Cronbach-Alpha project. Here's a detailed version:
## Overview
Cronbach's Alpha is one of the most widely used measures of reliability in psychometric assessment and research. This implementation provides a robust and efficient way to calculate the coefficient using Rust's performance capabilities.
## Features
- Fast and efficient Cronbach's Alpha calculation
- Support for multiple data formats
- Handles missing values
- Statistical validation checks
- Clear error handling and reporting
## Installation
Add this to your `Cargo.toml`:
```toml
[dependencies]
cronbach-alpha = "0.1.0"
```
## Usage
```rust
use cronbach_alpha::calculate_alpha;
fn main() {
// Example data matrix (items x participants)
let data = vec![
vec![5, 4, 3, 2],
vec![4, 3, 2, 1],
vec![5, 4, 3, 2],
];
match calculate_alpha(&data) {
Ok(alpha) => println!("Cronbach's Alpha: {:.3}", alpha),
Err(e) => eprintln!("Error: {}", e),
}
}
```
## Mathematical Background
Cronbach's Alpha (α) is calculated using the formula:
α = (k / (k-1)) * (1 - Σσᵢ² / σₜ²)
Where:
- k is the number of items
- σᵢ² is the variance of each item
- σₜ² is the variance of the total score
## Requirements
- Rust 1.56.0 or higher
- Standard statistical libraries
## Contributing
Contributions are welcome! Please feel free to submit a Pull Request. For major changes, please open an issue first to discuss what you would like to change.
1. Fork the Project
2. Create your Feature Branch (`git checkout -b feature/AmazingFeature`)
3. Commit your Changes (`git commit -m 'Add some AmazingFeature'`)
4. Push to the Branch (`git push origin feature/AmazingFeature`)
5. Open a Pull Request
## License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
## References
- Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297-334.
- Guidelines for reporting reliability and internal consistency statistics in psychological research
## Author
[Your Name]
## Acknowledgments
- The Rust community
- Contributors to psychometric research
- [Any other acknowledgments]