Psychometrics Project

Overview

This project replicates Hudson Golino's workflow for generating psychometric test items using AI and performing Exploratory Graph Analysis (EGA) with R. It integrates both Python and R to create, analyze, and validate psychometric scales.

Table of Contents

• Overview
• Project Structure
• Features
• Prerequisites
• Installation
• Setup
• Usage
• Environment Variables
• Troubleshooting
• Contributing
• License

Project Structure

PsychometricsC9/ │ ├── data/ │└── rigid_perfectionism_items.csv # Generated test items │ ├── scripts/ │ └── main.py # Main Python script │ ├── notebooks/ │ └── analysis.ipynb # Jupyter Notebook for analysis │ ├── .env # Environment variables ├── .gitignore # Specifies files to ignore in Git ├── environment.yml # Conda environment configuration ├── requirements.txt # Python dependencies └── README.md # Project documentation

Features

• AI-Generated Test Items: Utilizes Groq and OpenAI APIs to generate psychometric test items.
• Embeddings: Obtains embeddings for generated items using OpenAI's API.
• Exploratory Graph Analysis (EGA): Performs EGA using R's EGAnet package to validate psychometric scales.
• Python and R Integration: Seamlessly integrates Python and R using rpy2.
• Secure API Key Management: API keys are managed securely using environment variables.

Prerequisites

• Operating System: Windows 10 or later
• Software:
  • Anaconda or Miniconda
  • Visual Studio Code
  • Rtools 4.4 (for Windows users)
• API Keys:
  • OpenAI API Key
  • Groq API Key

Installation

1. Clone the Repository

git clone https://github.com/yourusername/PsychometricsC9.git cd PsychometricsC9

conda env create -f environment.yml conda activate psychometrics_env

pip install -r requirements.txt

R

Install devtools if not already installed

if (!requireNamespace("devtools", quietly = TRUE)) { install.packages("devtools") }

Install EGAnet from GitHub

devtools::install_github("hfgolino/EGA")

Install any other required packages

install.packages("EGAnet")

conda activate psychometrics_env python scripts/main.py

What the Script Does:

Generates Test Items: Uses Groq and OpenAI APIs to create psychometric test items. Saves Items to CSV: Stores the generated items in data/rigid_perfectionism_items.csv. Obtains Embeddings: Fetches embeddings for each item using OpenAI's API. Performs EGA: Conducts Exploratory Graph Analysis using R's EGAnet package and prints the results.

License

This project is licensed under the MIT License.