ordinalcorr 0.5.0

correlation coefficients for ordinal-scaled 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 (discretized)	binary (discretized)	Tetrachoric correlation	tetrachoric
ordinal (discretized)	ordinal (discretized)	Polychoric correlation	polychoric
continuous	ordinal (discretized)	Polyserial correlation	polyserial
continuous	binary (discretized)	Biserial correlation	biserial
continuous	binary	Point-Biserial correlation	point_biserial

Example

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

from ordinalcorr import polychoric

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

rho = polychoric(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.