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README.md

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- Diffusion decision model for response time
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- Statistical reliability for test taking experiment
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- Notes of Neuroeconomics based on Coursera course
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---
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# psychometrics
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[![MIT License](https://img.shields.io/badge/license-MIT-green.svg)](https://github.com/yourusername/psychometrics/blob/master/LICENSE)
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[![Build Status](https://travis-ci.com/yourusername/psychometrics.svg?branch=master)](https://travis-ci.com/yourusername/psychometrics)
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[![codecov](https://codecov.io/gh/yourusername/psychometrics/branch/master/graph/badge.svg)](https://codecov.io/gh/yourusername/psychometrics)
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This repository contains code and resources related to psychometric analysis and assessment.
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## Contents
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- Code for analyzing and interpreting psychometric test data
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- Information on commonly used psychometric tests and measures
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- Resources for designing and validating new psychometric tests
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- Examples of psychometric test data analysis
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- Tutorials on psychometric analysis and assessment
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## Usage
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To use the code in this repository, clone or download the repository and run the scripts in a Python environment.
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## Contributing
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If you would like to contribute to this repository, please fork the repository and submit a pull request.
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## License
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This repository is licensed under the MIT License. See [LICENSE](https://github.com/yourusername/psychometrics/blob/master/LICENSE) for more information.
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