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Dear All, my dependent variable is altruistic punishment amounts for offenders, for example, the participant could choose from 0 to 50, with an interval of 5. Thus, the participant has 11 choices in this scenario. Also, I would like to apply the utility desicion theory in my model, which means calculating and comparing utility for different choice and making thier desicion in this end.

For the purpose of this experiment, I am going to use an ordered logistic distribution as the likelihood distribution. However, it is diffcult for me to understand the eta and c(cutpoints) in the rstan function reference. If I want to use it, how do I translate the utility of the different options into the parameter values needed for the ordered logstic distribution?

Thank you!