Comparative Study of Alternatives Analysis of Incomplete Disjunctive Tables

Abstract

[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.multiple correspondence analysis, valores propios, incomplete disjunctive table, independence between categorical variables, eigenvalues, percentages of inertia, análisis de correspondencias múltiples, tabla disyuntiva incompleta, independencia entre variables cualitativas, tasas de inercia