I have 4 groups and the responses are of ordinal data- 7 rating scales.

My objective is to find out whether which group is better and preferred.

I have found out that when we deal with ordinal data, we could analyse it using ordered logistic regression model (polr package in R) and then plot the predictions using least square means- (lsmeans package in R).

My question is:

1. Is the above method provided a correct way to analyse the ordinal data especially if I have an objective to find out which group is better?

2. Can we come to know whether which particular group is better just based on coefficient values of the logistic model??

Please help! If any other type of analysis can be done, please suggest.

Thank you! Wishing you’ll a very happy new year!