Contents
Can you do correlation with nominal variables?
So there is no correlation with ordinal variables or nominal variables because correlation is a measure of association between scale variables. However, the optimal scaling procedure creates a scale for nominal variables (and ordinal), based on the variable levels’ association with a dependent variable.
How will you find the correlation between a categorical variable and a continuous variable?
There are three big-picture methods to understand if a continuous and categorical are significantly correlated — point biserial correlation, logistic regression, and Kruskal Wallis H Test. The point biserial correlation coefficient is a special case of Pearson’s correlation coefficient.
Is there such a thing as a Likert scale?
One single answer on a scale of 5 possible answers is hardly a Likert scale. A Likert scale is the sum of a number of such answers and is then often treated as quasi-metric. With only one answer on a 5-step scale, your answers are not metric, which is why a t-test is not recommended.
When to use polychoric correlation in Likert testing?
If you believe that what is being measured by the Likert scale and the binary questions are a continuous latent variable (e.g., the amount of agreement with the statement, or the extent to which the quality exists) then you might want to consider the use of polychoric correlation.
How to calculate correlation between ordinal and nominal variables?
Ordinal vs. ordinal, you may consider Spearman’s correlation coefficient. ( Analyze > Bivariate) You’d need the check the box “Spearman” in order to get the statsitics. Nominal vs. nominal, probably a chi-square test.
Which is the best Test to compare two categorical variables?
As far as I know, a chi-squared test is best for comparing two categorical variables because it only tells you if the distribution of your likert variable is different for the different groups. It doesn’t tell you which group has a higher score than the other.