The analysis of categorical data involves the following methods:
- (a):
-
A study of the goodness-of-fit test;
- (b):
-
The study of a contingency table and its subsequent analysis, which consists of discovering and studying relationships between the attributes (if they exist);
- (c):
-
An homogeneity test of some populations, related to the distribution of a binary qualitative categorical variable;
- (d):
-
An examination of the independence hypothesis.
HISTORY
The term “contingency”, used in the relation to cross tables of categorical data was probably first used by Pearson, Karl (1904). The chi-square test, was proposed by Barlett, M.S. in 1937.
MATHEMATICAL ASPECTS
See goodness-of-fit and contingency table.
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REFERENCES
Agresti, A.: Categorical Data Analysis. Wiley, New York (1990)
Bartlett, M.S.: Properties of sufficiency and statistical tests. Proc. Roy. Soc. Lond. Ser. A 160, 268–282 (1937)
Cox, D.R., Snell, E.J.: Analysis of Binary Data, 2nd edn. Chapman & Hall, London (1990)
Haberman, S.J.: Analysis of Qualitative Data. Vol. I: Introductory Topics. Academic, New York (1978)
Pearson, K.: On the theory of contingency and its relation to association and normal correlation. Drapers' Company Research Memoirs, Biometric Ser. I., pp. 1–35 (1904)
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(2008). Analysis of Categorical Data. In: The Concise Encyclopedia of Statistics. Springer, New York, NY. https://doi.org/10.1007/978-0-387-32833-1_6
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