EN
The paper focuses on latent class models and it's application for quantitative data. Latent class modeling is one of a multivariate analysis techniques of the contingency table and can be viewed as a special case of model-based clustering, for multivariate discrete data. It is assumed that each observation comes from one of a number of subpopulations, with its own probability distribution. We used latent class analysis for grouping and detecting inhomogeneities of Polish opinions on role of women in polish society. We analyzed data collected as part of the Polish General Social Survey (GSS) using poLCA package of R.