ordinalcorr 0.3.0

A Python package for correlation analysis between ordinal variables

ordinalcorr: correlation coefficients for ordinal variables

ordinalcorr is a Python package designed to compute correlation coefficients tailored for ordinal-scale data (e.g., Likert items). It supports polychoric correlation coefficients and other coefficients for ordinal data.

📦 Installation

pip install ordinalcorr

✨ Features

This package provides several correlation coefficients for many types of variables

Variable X	Variable Y	Method	Function
binary	binary	Tetrachoric correlation	tetrachoric_corr
ordinal	ordinal	Polychoric correlation	polychoric_corr
continuous	ordinal	Polyserial correlation	polyserial_corr
continuous	binary (discretized from continuous)	Biserial correlation	biserial_corr
continuous	binary	Point-Biserial correlation	point_biserial_corr

Example

Here is an example for computing correlation coefficient between two ordinal variables

from ordinalcorr import polychoric_corr

x = [1, 1, 2, 2, 3, 3]
y = [0, 0, 0, 1, 1, 1]

rho = polychoric_corr(x, y)
print(f"Polychoric correlation: {rho:.3f}")

📒 Document

Full document is here

⚖️ License

This project is licensed under the MIT License. See the LICENSE file for details.