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Analysis of Categorical Data

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The Concise Encyclopedia of Statistics
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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.

FURTHER READING

Data

Data analysis

Categorical data

Chi-square goodness of fit test

Contingency table

Correspondence analysis

Goodness of fit test

Homogeneity test

Test of independence

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REFERENCES

  1. Agresti, A.: Categorical Data Analysis. Wiley, New York (1990)

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  2. Bartlett, M.S.: Properties of sufficiency and statistical tests. Proc. Roy. Soc. Lond. Ser. A 160, 268–282 (1937)

    Article  MATH  Google Scholar 

  3. Cox, D.R., Snell, E.J.: Analysis of Binary Data, 2nd edn. Chapman & Hall, London (1990)

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  4. Haberman, S.J.: Analysis of Qualitative Data. Vol. I: Introductory Topics. Academic, New York (1978)

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  5. 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 Springer-Verlag

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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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