The background: After I've conducted a survey about preferences of users in ridesharing, I now want to construct an order of importance of these preferences (this is to answer one of my research questions). For instance price might be more important than comfort of the vehicle might be more important than the played music. I collected the data based on a five-point likert-scale.
My procedure so far:
- Of course clearing the data
- Generate an order via a simple approach: very important gets $4$, important gets $3$ and so on. Then I build a sum over all answers and I sort the preferences based on their sums.
The second step provides me with an order, which is not statistically verified. Therefore,
- I perform a one-sided Wilcoxon signed-rank test for each pair of preferences.
The resulting p-values are in the following matrix:
The visualization can be read as follows: preference a is statistically proven to be not less important than preference d to j for all common significance levels. (The order of preferences comes from the second step.)
The problem is, I've collected $42$ preferences and the corresponding visualization has the following problems:
- $42$ is quite a lot and the visualization gets confusing.
- Moreover, to understand what is shown in the graphic a lot of brain work is needed, especially for an unexperienced user.
Do you have an idea how to visualize the result better?