I'm conducting a research project for my thesis, and I'm hopelessly lost.

My aim is to see whether gaming enjoyment (liking) decreases during a gaming session, and then to see whether that decrease is affected by scores on a gaming disorder test (GDT). Each participant will have approximately four scores for liking, each collected an hour apart during the gaming session. They will also each have one score for the GDT.

From what I have read, multilevel linear modelling (MLM) seems to be the way to go, but I'm really struggling to understand it. Most examples of MLM involve taking the mean of the momentary data for each participant - in this case, that would be the mean of the liking scores. But I'm not interested in their average liking during the session, but rather the rate of change in liking over the course of the session, and then seeing if this differs between participants based on their GDT scores.

Any help here would be hugely appreciated!

Thanks,

Mike