# What model to use for multiple observations per participant with likert ratings

We ran a study in which participants were presented with four items (let's call them service requests) and to each of these requests, two user profiles of people who could satisfy those requests were matched. Our participants had to rate each of those matched profiles on four Likert scales, each concerned with different aspects of the matched profiles.

We want to know if factors such as word length of the request, profile bio word length and number of past services listed in the profile are related to how participants rate those profiles. We have multiple observations per participant and the observations themselves are paired in terms of post.

I am assuming we need some kind of mixed effects regression analysis but I'm not sure how to structure the data and/or what model to apply. I'm using R for analysis and, as well as recommendations, a good example to copy as well as pointers to clear tutorials would be helpful.