Convert participation variable to a factor
data$Participation <- factor(data$Participation, ordered = TRUE)
Convert predictor variables to factors
data$Respondents_involvement_in_carnivore_conservation_decisionmaking <- factor(data$Respondents_involvement_in_carnivore_conservation_decisionmaking)
data$Participation_carnivore_conservation_activities <- factor(data$Participation_carnivore_conservation_activities)
model <- clm(Participation ~ Respondents_involvement_in_carnivore_conservation_decisionmaking +
-
Participation_carnivore_conservation_activities, -
data = data)
Error in contrasts<-(*tmp*, value = contr.funs[1 + isOF[nn]]) :
contrasts can be applied only to factors with 2 or more levels