I have two issues I do not seem to be able to solve, as I do not even know if it is possible in Qualtrics to do this.
I am conducting a Delphi study, which involves conducting up to three survey rounds. The aim is to reach a consensus between all participants on the statements that we present to them.
1)
Is it possible to show a participant their previous scoring for the question along with the median of the group? I am using a side-to-side table with multiple statements rated on one side on a 4-point Likert scale and the other side on a dichotomous scale (Yes/No).
An example would be: a participant gave a 3 rating and a 'yes' for the statement X. Now, for the next survey round, I would repeat the same statement to be rated, however, I would like to display to that particular participant's score from the previous round as well as the group median from the previous round. Can this be done with Qualtrics, if not, can I at least show the group median from the previous survey round, and how do I do that?
I saw somewhere that I could make all the answers ‘embedded data’, however I have not made the answers embedded data before the first round. I think this would mean I would have to make each answer for each participant embedded data manually, but I have 40 participants and more than 150 statements. This would be incredibly time-comsuming. And I still do not understand how this would work exactly.
2)
In the second round, I want to show the participants all the statements that have already reached a consensus and they do not have to score again. Then I also want to show statements that already have a consensus on the Likert scale but not the dichotomous scale, and they should only be able to score the dichotomous scale again. Then I want to show all the statements that there was no consensus on for the Likert scale or the dichotomous scale and they should rate both again. All while showing their previous answers and the median answers, as mentioned in point 1.
You can see an example of a question from the first round survey below.