What happens when a distribution isnt normal?
Maybe i fucked up big time, maybe not. Ill see by the end of this day. And im sorry if this is not the appropriate place to ask.
But basically, for my disertaion i applied an instrument to measure food insecurity. And my data is not normally distributed. Basically, a higher number of people who were interested in the problem (meaning, the ones who do suffer from food insecurity) answered it.
And now i have no idea how to proceed forward.
Idk if i should try to apply some tests for data that is not normally distributed (although the professors never teached it in class) or just state that this is the distribution on the instrument and... move on.
I have another instrument (about food diversity) operationalised and validated on the spot with cronbach alpha that has a normal distribution.
But still, it stresses me out a lot and i cant really get more answers to the questionaire because... well, students cannot be bothered apparently and i aint willing to _pay_ out of my pocket to get some more answers. Although, if i get desperate enough, i might just do that.