Categorical_data_analysis
This is a list of statistical procedures which can be used for the analysis of categorical data, also known as data on the nominal scale and as categorical variables.
- Bowker's test of symmetry
- Categorical distribution, general model
- Chi-squared test
- Cochran–Armitage test for trend
- Cochran–Mantel–Haenszel statistics
- Correspondence analysis
- Cronbach's alpha
- Diagnostic odds ratio
- G-test
- Generalized estimating equations
- Generalized linear models
- Krichevsky–Trofimov estimator
- Kuder–Richardson Formula 20
- Linear discriminant analysis
- Multinomial distribution
- Multinomial logit
- Multinomial probit
- Multiple correspondence analysis
- Odds ratio
- Poisson regression
- Powered partial least squares discriminant analysis
- Qualitative variation
- Randomization test for goodness of fit
- Relative risk
- Stratified analysis
- Tetrachoric correlation
- Uncertainty coefficient
- Wald test
- Aickin's α
- Andres and Marzo's delta
- Bangdiwala's B
- Bennett, Alpert, and Goldstein’s S
- Brennan and Prediger’s κ
- Coefficient of colligation - Yule's Y
- Coefficient of consistency
- Coefficient of raw agreement
- Conger's Kappa
- Contingency coefficient – Pearson's C
- Cramér's V
- Dice's coefficient
- Fleiss' kappa
- Goodman and Kruskal's lambda
- Guilford’s G
- Gwet's AC1
- Hanssen–Kuipers discriminant
- Heidke skill score
- Jaccard index
- Janson and Vegelius' C
- Kappa statistics
- Klecka's tau
- Krippendorff's Alpha
- Kuipers performance index
- Matthews correlation coefficient
- Phi coefficient
- Press' Q
- Renkonen similarity index
- Prevalence adjusted bias adjusted kappa
- Sakoda's adjusted Pearson's C
- Scott's Pi
- Sørensen similarity index
- Stouffer's Z
- True skill statistic
- Tschuprow's T
- Tversky index
- Von Eye's kappa