Hello, everyone. I am working on analyzing data from a pre and post test questionnaire. There are 4 Likert scales made up of 8-10 Likert items each, and each Likert item has 5 options ranging from "Very unlikely" to "Very likely" or something similar. Each item will be given a numeric value of 1 to 5. I have read that I should find a composite score (sum or average) for each scale. I want to then compare the pre and post tests, perhaps using a t-test or Wilcoxon signed rank test.
I have many questions, but to start:
I appreciate any help and direction you can provide.