What type of correlation should you use to compute the correlation between two ordinal level variables?

What type of correlation should you use to compute the correlation between two ordinal level variables?

The correlation coefficient between two ordinal variables can be calculated by Spearman correlation.

Which correlation would you use to analyze the relationship between one ordinal variable and one nominal variable?

lambda
For example, if you are analyzing a nominal and ordinal variable, use lambda. If you are examining an ordinal and scale pair, use gamma.

What letter is used to refer to a correlation?

Two letters are used to represent the Pearson correlation: Greek letter rho (ρ) for a population and the letter “r” for a sample.

How to measure the correlation between nominal and ordinal data?

First, there are ways of measuring the correlation between nominal and ordinal data. If your nominal data is binomial (can be coded as 0 and 1), you can treat it as interval, because it has the properties (it has discrete categories, is ordered 0<1 or 1<0 and has distance (0-1 is the same as 1-0).

How to calculate correlation between nominal categorical variables?

The only difference will be that you will change the O i j (Observed count of data points with the i th category of the first variable and j th category of the second variable) in the contingency table and corresponding E i j will change accordingly.

Which is the most natural measure of correlation between a nominal and DV variable?

This explains the comment that “The most natural measure of association / correlation between a nominal (taken as IV) and a scale (taken as DV) variables is eta”. If you are more interested in the proportion of variance explained, then you can stick with eta squared (or its regression equivalent R 2 ).

Is there a correlation between order and distance?

There is order but no distance in an ordinal ranking. You can put them on a scale with respect to some other, dependent, variable. So there is no correlation with ordinal variables or nominal variables because correlation is a measure of association between scale variables.