What is the added value of combining multiple variables instead of treating them separate?

Hey guys,

I'm preparing my dataset for some research. I'm doing research on the effect of some barriers (language, education level etc.) on vaccination readiness. And I don't know if I want to combine the variables (same scales and the cronbach alfa is fine) of put them seperated in my model. My question is:

What is the added value when I combine the variables to one variable?


TS Contributor
Which variables are you referring to? And why do you ask that question, has someone recommended
a combination?

With kind regards