Analysis of categorical data
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These are statistical procedures which can be used for the analysis of categorical data:
- regression
- analysis of variance
- linear modeling
- log-linear modeling
- logistic regression
- repeated measures analysis
- simple correspondence analysis
- multiple correspondence analysis
- contingency table
- latent class model
- Burt table
- binary table
- frequency table
- chi-square statistics
- odds ratios
- correlation statistics
- Fisher's exact test
- stratified analysis
- Cochran-Mantel-Haenszel statistics
- common relative risk
- binomial proportions
- measures of agreement
- McNemar's test
- kappa (statistics)
- generalized linear models
- Wald test
- generalized estimating equation
See also: Categorical variable
| This page uses content from the English-language version of Wikipedia. The original article was at Analysis of categorical data. The list of authors can be seen in the page history. As with Psychology Wiki, the text of Wikipedia is available under the GNU Free Documentation License. |
