Multiple Correspondence Analysis as a Tool for Quantification or Classification of Career Data

Abstract

Career data of an individual are defined by counts that describe the amount of time an individual has spent in each of a number of mutually exclusive states. It is argued that correspondence analysis is particularly suited to such data, and this is illustrated by an example from educational careers. Furthermore it is shown that correspondence analysis can be used for a quantification of individual careers into one or more scores, or a classification, that can then be used in further analyses.