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Title:
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Tying up the loose ends in simple correspondence analysis
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Author:
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Greenacre, Michael J.
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Other authors:
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Universitat Pompeu Fabra. Departament d'Economia i Empresa |
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Abstract:
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Although correspondence analysis is now widely available in statistical software packages and applied in a variety of contexts, notably the social and environmental sciences, there are still some misconceptions about this method as well as unresolved issues which remain controversial to this day. In this paper we hope to settle these matters, namely (i) the way CA measures variance in a two-way table and how to compare variances between tables of different sizes, (ii) the influence, or rather lack of influence, of outliers in the usual CA maps, (iii) the scaling issue and the biplot interpretation of maps,(iv) whether or not to rotate a solution, and (v) statistical significance of results. |
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Publication date:
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2006-03-01 |
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Subject(s):
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Biplot, bootstrapping, canonical correlation, chi-square distance, confidence, ellipse, contingency table, convex hull, correspondence analysis, inertia, randomization test, rotation, singular value |
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Rights:
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Aquest document està subjecte a una llicència d'ús de Creative Commons, amb la qual es permet copiar, distribuir i comunicar públicament l'obra sempre que se'n citin l'autor original, la universitat i el departament i no se'n faci cap ús comercial ni obra derivada, tal com queda estipulat en la llicència d'ús (http://creativecommons.org/licenses/by-nc-nd/2.5/es/) |
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Document type:
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Working Paper |
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