What would a linear mixed model look like in an experiment using human judgement? I am trying to build a LME model for the following occasion:
In an experiment 10 persons rated 15 items (all rated the same items). These items can be physically (sensors) characterised by different parameters. These parameters will be my independent variables and the ratings (using a likert scale) my dependent variable.
Input table looks something like this:

Is the following formula then true for best describing the relationship between the objective (sensors) and subjective (human) perception of these items? (Crossed random effects model)
Ratings~parameter1+parameter2+(1|Raters)+(1|objects)
Thank you in advance for taking time to respond to my question!
Greetings.

Yes ! The proposed model:
Ratings~parameter1+parameter2+(1|Raters)+(1|objects)

is appropriate for analysing a design with crossed random effects.
