For my study, I'm investigating whether student's scores in a task (expressed as a percentage between 0-100%) influence their responses to a survey. The survey has 19 questions, and they're Likert scale answers, from:
- 5 - very effective
- 4 - moderately effective
- 3 - neither effective nor ineffective
- 2 - moderately ineffective
- 1 - very ineffective
My supervisor suggested clustering the 19 questions into 4 or 5 groups of related questions, and then applying a Kruskal-Wallis test for all of the groups (i.e. 4 or 5 Kruskal-Wallis tests.) She also suggested doing an analysis with two independent variables: the question number, and the scores for each participant. The dependent variable is then the participant's responses for each question. I'm not versed in stats at all, but she reckoned that this analysis would show whether there was a relationship between both of the independent variables and the dependent variables, and between the two independent variables.
But from what I've been reading, the KW test can only use one independent variable. Is there a way to retool this test for my purposes, or is there a different test more suitable to use? Thank you.