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文章基本信息

  • 标题:Confidence circles for correspondence analysis using orthogonal polynomials
  • 本地全文:下载
  • 作者:Eric J. Beh
  • 期刊名称:Advances in Decision Sciences
  • 印刷版ISSN:2090-3359
  • 电子版ISSN:2090-3367
  • 出版年度:2001
  • 卷号:5
  • 期号:1
  • 页码:35-45
  • DOI:10.1155/S1173912601000037
  • 出版社:Hindawi Publishing Corporation
  • 摘要:

    An alternative approach to classical correspondence analysis was developed in [3] and involves decomposing the matrix of Pearson contingencies of a contingency table using orthogonal polynomials rather than via singular value decomposition. It is especially useful in analysing contingency tables which are of an ordinal nature. This short paper demonstrates that the confidence circles of Lebart, Morineau and Warwick (1984) for the classical approach can be applied to ordinal correspondence analysis. The advantage of the circles in analysing a contingency table is that the researcher can graphically identify the row and column categories that contribute or not to the hypothesis of independence.

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