Categorical Data 101 There are two main types of data: categorical and numerical. Numerical data, as the name implies, refers to numbers. Categorical data is everything else. As its name suggests, ...

A categorical variable is defined as one that can assume only a limited number of values. For example, a person's sex is a categorical variable that can assume one of two values. Variables with levels ...

Understanding the levels of measurement is crucial for quantitative data analysis because it informs the appropriate statistical techniques that can be applied to the data. This is categorical data ...

However, latent variable models in the social sciences often use categorical data. The current paper therefore extends the EPC-interest to latent variable models for categorical data and demonstrates ...

Errors in the collection of categorical data lead to misclassification of observed counts. Several authors have proposed a double sampling scheme. This article develops a method for analysis of double ...

Course Topics 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 ...