Multiple correspondence analysis as a tool in sociological research

Multiple correspondence analysis is a form of factorial multivariate data which helps us summarize large quantity information with assistance modern statistical programs. In this way, sociological correlations - are then visually represented on two-dimensional graph established between certain number active and supplementary variables, i.e. the positions, dispositions position-takings (French: prises de position) by analyzed agents. It research tool initially introduced statistician Jean- Paul Benz?cri in humanities social sciences 1960s. Since early 1970s, thanks to Pierre Burdieu, methodological procedure has become an indispensable instrument empirical studies sociologists who were familiar structuralist approach sociology. This paper consists two main sections. The first one sets out basic theoretical assumptions properties multiple analysis. aim second section give brief recital particular its features results order get interested public aquaitned it?s practicle potentials tool.