My colleague wants to perform binomial logistic regression with data that include:
binomial (T/F) response variable
35 different Likert-scale (1-5) predictor variables to choose between.
N = 300
They are trying to do the analyses in R.
At first I considered suggesting
glm as follows:
glm(Y ~ X1 + X2 ..., data = dataset.name, family = binomial)
However, I don't think it's appropriate to treat the likert-scale predictors as continuous or as categorical data using
factor(). These predictors are truly ordinal data.
Although a number of R packages exist that can fit one or more types of ordinal regression models, the most comprehensive among these seems to be the
However, I'm not sure how to incorporate a binomial response in a
Perhaps this isn't possible? Perhaps another package would be better?
What would be the appropriate way to perform a binomial logistic regression in R incorporating ordinal-scale predictor variables?