Comparative Study of Alternatives Analysis of Incomplete Disjunctive Tables

[EN] Multiple Correspondence Analysis (MCA) studies the relationship between several categorical variables defined with respect to a certain population. However, one of the main sources of information are those surveys in which it is usual to find a certain number of absent data and conditioned questions that do not need to be answered by the whole population. In these cases, the data codification in a complete disjunctive table requires the inclusion of non-answer categories that can alter the results.