Analyzing the correlation between two different dependent variables, both of which are measured on an ordinal scale, requires specific statistical techniques. Ordinal variables are categorical variables with a natural order or ranking but do not have a fixed interval between categories, making traditional correlation measures like Pearson's correlation inappropriate. Instead, you can use non-parametric tests and measures to assess the relationship between these variables. Here are steps to analyze the correlation between two ordinal dependent variables:

Remember that ordinal data may not fully capture the underlying relationships between variables, and the strength of associations may be limited compared to interval or ratio data. Nevertheless, Spearman's rank-order correlation is a valuable tool for exploring and quantifying the relationship between two ordinal dependent variables.