I'm not a statistician but I'm working with some experimental psychology data. I have a distribution of responses on a -4 to 4 scale. Usually, these type of variables is treated as continuous. I have to model this variable based on some predictors (experimental factors). I'm thinking about different ways to model it:
- Linear Mixed-Effect Model (for repeated measure)
- Ordinal Regression (if I consider the variable as an ordered factor)
However, I've heard about the possibility to use a Truncated Normale as target distribution. Could be useful in this case? Is there a way to do it in R?