I am working on a project to analyze the frequency of use of public transit by an individual.
However, One of my output variable "Frequency of use " is an ordinal scale with the 4 different categories: often, sometimes, rarely, never. I have treated this variable on a numerical scale with 1- never, 2- rarely, 3- sometimes 4- often.
My categories are ordered but we cannot say that there is truly a one unit difference between often, sometimes, rarely, and never. So I am not sure if I have treated this variable correctly by converting it to a numerical scale.
Please, can you let me know if this is the correct approach to treating the variable?
I am trying to look at the correlation between this ordinal variable and non-normal continuous data. Is spearman correlation test the correct way to test the correlation? Is there any other alternative that can be used
However, One of my output variable "Frequency of use " is an ordinal scale with the 4 different categories: often, sometimes, rarely, never. I have treated this variable on a numerical scale with 1- never, 2- rarely, 3- sometimes 4- often.
My categories are ordered but we cannot say that there is truly a one unit difference between often, sometimes, rarely, and never. So I am not sure if I have treated this variable correctly by converting it to a numerical scale.
Please, can you let me know if this is the correct approach to treating the variable?
I am trying to look at the correlation between this ordinal variable and non-normal continuous data. Is spearman correlation test the correct way to test the correlation? Is there any other alternative that can be used