In  a robust watermarking proposed by Sion for categorical data
This type of data could also be analyzed using standard statistical tests for categorical data
The reason is that our empirical analysis is based on categorical data
rather than on actual changes in the numerical values of those variables.
Various scoring techniques for ranked ordered categorical data
have been investigated both empirically and theoretically by Brockett (1981), Brockett and Levine (1977), and Golden and Brockett (1987).
The Catmod procedure allows the identification of both main effects and interactions in a multivariable research design using categorical data
Statgraphics Plus for Windows performs a range of statistical routines - including ANOVA, regression analysis, categorical data
analysis, and multivariate statistics.
Basic and Advanced Bayesian Structural Equation Modeling introduces basic and advanced SEMs for analyzing various kinds of complex data, such as ordered and unordered categorical data
, multilevel data, mixture data, longitudinal data, highly non-normal data, as well as some of their combinations.
These algorithms are not suitable to cluster the categorical data
, instead used to cluster numeric data.
Other features include new graphs such as heat map and 2D kernel density plots, 3D batch plotting, user-defined ordering of categorical data
for graphing and analysis, a distribution fit tool, repeated measures ANOVA with unbalanced data, and integration with the Python scripting language.
Incomplete categorical data
design; non-randomized response techniques for sensitive questions in surveys.
were expressed as number (percentage).
This last task is accomplished by a simple Edit/Inset command followed by specifying the levels of the categorical data
were compared using Fisher's exact test and ordinal data using the Mann-Whitney U test.
of Ballarat) gently introduce the basic concepts of measurement, probability, data management, descriptive statistics and graphics, research design, the art of critiquing the statistics presented by others, inferential statistics, the t-test, the correlation coefficient, categorical data
, nonparametric statistics, the general linear model, extensions of analysis of variance, multiple linear regression and other types of regression, and applications in business, quality improvement, medicine, epidemiology, education and psychology.
The MATE may also be used in conjunction with additional instrumentation that generates either quantitative or categorical data
to investigate relationships/associations among potentially important variables in evolutionary biology education.