Jan de Leeuw and the French School of Data Analysis

Abstract

The Dutch and the French schools of data analysis differ in their approaches to the question: How does one understand and summarize the information contained in a data set? The commonalities and discrepancies between the schools are explored here with a focus on methods dedicated to the analysis of categorical data, which are known either as homogeneity analysis (HOMALS) or multiple correspondence analysis (MCA).

Keywords

• HOMALS
• multiple correspondence analysis
• missing values
• analyse des donn\'ees
• French and Dutch schools