When data is organized in the form of a contingency table where the two categorical independent variables (corresponding to the row and columns) are ordered, then we can calculate a polychoric correlation coefficient. This coefficient is an approximation to what the Pearson’s correlation coefficient would be if we had continuous data. For a 2 × 2 contingency table, the polychoric correlation coefficient is called the tetrachoric correlation coefficient.
- Basic Concepts
- Calculations using Solver
- Estimates of tetrachoric correlation
- Real Statistics support