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Multiple correspondence analysis of a subset of response categories



In the analysis of multivariate categorical data, typically the analysis of questionnaire data, it is often advantageous, for substantive and technical reasons, to analyse a subset of response categories. In multiple correspondence analysis, where each category is coded as a column of an indicator matrix or row and column of Burt matrix, it is not correct to simply analyse the corresponding submatrix of data, since the whole geometric structure is different for the submatrix . A simple modification of the correspondence analysis algorithm allows the overall geometric structure of the complete data set to be retained while calculating the solution for the selected subset of points. This strategy is useful for analysing patterns of response amongst any subset of categories and relating these patterns to demographic factors, especially for studying patterns of particular responses such as missing and neutral responses. The methodology is illustrated using data from the International Social Survey Program on Family and Changing Gender Roles in 1994.

Suggested Citation

  • Michael Greenacre & Rafael Pardo, 2005. "Multiple correspondence analysis of a subset of response categories," Economics Working Papers 881, Department of Economics and Business, Universitat Pompeu Fabra.
  • Handle: RePEc:upf:upfgen:881

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    References listed on IDEAS

    1. Michael Greenacre, 2004. "Weighted metric multidimensional scaling," Economics Working Papers 777, Department of Economics and Business, Universitat Pompeu Fabra.
    2. Michael Greenacre, 2008. "Correspondence analysis of raw data," Economics Working Papers 1112, Department of Economics and Business, Universitat Pompeu Fabra, revised Jul 2009.
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    Cited by:

    1. Michael Greenacre, 2005. "From correspondence analysis to multiple and joint correspondence analysis," Economics Working Papers 883, Department of Economics and Business, Universitat Pompeu Fabra.
    2. Ruben Konig, 2010. "Changing social categories in a changing society: studying trends with correspondence analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 44(3), pages 409-425, April.

    More about this item


    Categorical data; correspondence analysis; questionnaire survey;

    JEL classification:

    • C19 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Other
    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software

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