I've carried out a questionnaire, where participants had to rate on a likert scale 1-5 a list of response strategies with respect to their ability addressing a certain issue. In total there are five such major issues and they were asked to rank the strategies under each separately. What is the best analysis technique to analyse and summarize the above data.
it seems that you have 5 subscales. You then need to get the total score for each subscale separately. This is the first step. 2nd step, depends on you research question/hypothesis; so you can run the correlation, comparison, or prediction tests.
I agree with Muayyad Ahmad that you have 5 sub scales. the next question is whether or not they are strongly correlated with each other. If so, they could form a single scale.
Because there have been so many questions here about the scaling of Likert-scored items, I have compiled a set of resources on this topic:
https://www.researchgate.net/post/How_can_one_help_people_create_simple_scales_from_Likert-scored_items?_tpcectx=qa_overview_asked&_trid=ALDQFcdEyYmbBscNoRYnkVIu_
A lot depends on what your objective for the is and the level of analysis you wish to attain. The type of hypothesis will determine the test you may wish to apply. A simple descriptive statistical tools could be of help in calculating the individual score for each variable which would be later ranked.
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