Correspondence analysis

The correspondence analysis, also simple correspondence analysis, abbreviated CA ( correspondence analysis) is a multivariate statistical technique, by which the relations of the variables in a contingency table are represented graphically. The column and row profiles of a matrix ters are represented by points in a space whose coordinate axes are formed by the respective features. It is also known as principal component analysis of categorical data.

In the canonical correspondence analysis (CCA ) is an extension of the CA by Ter Braak. In this case, the derived ordination axes linear combinations of environmental variables, that is generated through a multiple linear regression model.

Areas of application

Correspondence analysis has been made in the empirical social research significantly by Pierre Bourdieu's study " Distinction " popular. Also in the market research, the correspondence analysis is widespread. In archeology, it can serve to the order of tables that capture the Fund combination of types in closed finds. After such an order - also called seriation - show the types and find complexes often on a time sequence.