New method reveals hidden patterns in categorical data for better decision-making.
The article discusses how log-linear models can be used to analyze relationships between different categories in a table. The researchers focus on using these models specifically for ordinal variables, which are categories with a specific order. They introduce different types of log-linear models for ordinal variables and discuss their advantages and disadvantages. The researchers also conduct an empirical analysis using a statistical software called R to apply these models in practice.