Data analysis is a fundamental process in any project. However, data can be lumped into different types, with categorical and ...

This thesis has shown that multiple imputation of latent classes is a flexible solution to simultaneously estimate and correct for misclassification and missing data in combined datasets. Boeschoten, ...

Analysis of Variance for Categorical Data and Generalized Linear Models . A categorical variable is defined as one that can assume only a limited number of values. For example, a person's sex is a ...

So far in this column, we have discussed mainly the statistical analysis of continuous variables. We now turn to categorical data, which appear in experimental designs that enumerate how samples ...

Ordinal categorical data has an inherent ordering. The demo uses equal-interval encoding. For the height variable with three possible values, the encoding is short = 0.25, medium = 0.50, tall = 0.75.

Statistical techniques for agreement studies depend on whether data are continuous (derived from a possible range of values or an underlying continuum) or categorical.

Generally speaking, there are two types of outcomes (i.e. response) in statistical analysis: continuous and categorical responses. Linear Models (LM) are one of the most commonly used statistical ...