Comparative Study of Alternatives Analysis of Incomplete Disjunctive Tables

María Amaya Zárraga Castro and Beatriz Goitisolo Lezama

No 1134-8984, BILTOKI from Universidad del País Vasco - Departamento de Economía Aplicada III (Econometría y Estadística)

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.

Keywords: multiple correspondence analysis; incomplete disjunctive table; independence between categorical variables; eigenvalues; percentages of inertia; análisis de correspondencias múltiples; tabla disyuntiva incompleta; independencia entre variables cualitativas; valores propios; tasas de inercia (search for similar items in EconPapers)
Date: 2000-05
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Persistent link: https://EconPapers.repec.org/RePEc:ehu:biltok:5789

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Dpto. de Econometría y Estadística, Facultad de CC. Económicas y Empresariales, Universidad del País Vasco, Avda. Lehendakari Aguirre 83, 48015 Bilbao, Spain

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