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Comparative Study of Alternatives Analysis of Incomplete Disjunctive Tables

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  • Zárraga Castro, María Amaya
  • Goitisolo Lezama, Beatriz

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.

Suggested Citation

  • Zárraga Castro, María Amaya & Goitisolo Lezama, Beatriz, 2000. "Comparative Study of Alternatives Analysis of Incomplete Disjunctive Tables," BILTOKI 1134-8984, Universidad del País Vasco - Departamento de Economía Aplicada III (Econometría y Estadística).
    • Handle: RePEc:ehu:biltok:5789
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