Hi all,
I am using panel data from British Election Survey to perform a fixed effect OLS regression looking at how party contact affects a persons political preferences (e.g. probability of voting for certain political party).
The main independent variable is a dummy variable for party contact but the rest of the independent variables are likert scales for the different questionnaire answers. However lots of these scales are not the same, some are 0 to 10, other 1 to 5 and some 1 to 7 etc. Would it be correct to leave them as they are as the unit increases is what will be picked up by the regression? or should I normalise or standardise the variables?
many thanks
Caitlin