I am looking to compare individual likert scale items.
I measured respondent's level of agreement (in a 5 point-scale) for several items (e.g. from 1 to 5 how much is A competent to treat your condition? how much is B? C? and so on..- 11 items in total). I want to analyse if the scores for each statement are significantly different?
I am considering the data as ordinal and as such using non-parametric analysis. So far what I did was a Friedman test (which should indicate if there is agreement between k set of ranking) (p<0.001). So indeed the distribution of the several scores (of the several items) are different. But I also wanted to know which items are statistically significanly different. So I did a Kendall correlation for all items.
- Is this the right approach?
- Can anyone let me know what is the best way to compare likert-scale items?