I am analyzing the results of a survey on R. The questionnaire is a series of questions that participants answer using a Likert scale (https://en.wikipedia.org/wiki/Likert_scale).
I have obtained frequency tables for each question (i.e. what percentage of participants chose "strongly agree", what percentage chose "somewhat agree," etc.) and I am now interested in obtaining confidence intervals for those percentages.
Since I don't want to assume that my data is normally distributed, I was thinking of using bootstrapping to get the confidence intervals. However, I am not entirely sure how using bootstrapping works in this context. I am familiar with how to use bootstrapping when dealing with means, but not really when dealing with frequency tables such as these. Specifically, I am not sure how to go about coding the bootstrapping.
Thank you, Best,