Is there a way to analyse missing values of nominal data. I heard about multiple imputation, but for my understanding, this provides temporary values to the missing value. But all I want is to identify patterns of missing values, and understand if there is really a pattern on the said missing values (that may imply something about the way the questionnaire is presented or the structure of it) or the values are just missing randomly.
Sorry if my question is a bit confusing. This type of analysis is all new to me and would be grateful for all your help!