07 December 2020 2 6K Report

Hi, I'm currently analysing a survey for a university course design, and some guidance would be very much appreciated.

The students who are enrolled in a course were given a link to participate in an online survey (which consists of a series of questionnaires using a Likert scale) over the course of two semesters. The survey mainly asks about how each of the components in the course (quizzes, tutorials, etc.) helped towards their assessments (final exam, assignments, etc.). Students were to click one of the following options; 5 point scale from 'Strongly Agree' to 'Strongly Disagree' depending on their perception with each of the course components.

And I ran Friedman's test on SPSS to find out if there is any significant difference in the mean rank of each of the components towards the assessments. For example, I was comparing if students found one of the course components more helpful than the others when preparing for their final exam for each of the semesters (which would be a within-subject test).

Would this be the right approach to tackle this kind of problem? Thank you very much in advance.

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