Python Packages for Exploratory Factor Analysis

ABSTRACT

Exploratory Factor Analysis (EFA) is a widely used statistical technique for reducing data dimensionality and representing latent constructs via observed variables. Different software offer toolsets for performing this analysis. While Python’s statistical computing ecosystem is less developed than that of R, it is growing in popularity as a platform for data analysis and now offers several packages that perform EFA. This article reviews EFA modules in the statsmodels, FactorAnalyzer, and scikit-learn Python packages. These packages are discussed with regard to official documentation, features, and performance on an applied example.

KEYWORDS:

• Exploratory factor analysis (EFA)
• Python
• statsmodels
• FactorAnalyzer
• scikit-learn

Disclosure statement

We have no conflicts of interest to report.

Notes

¹ The Python and R code that support the findings of this study are openly available on the Open Science Framework website (DOI: 10.17605/OSF.IO/XPMUZ).