I am running an ordinal logistic regression model in R (with an ordinal dependent variable). For my model I am also only including one primary independent variable (which is also ordinal). However, when I run my model, three coefficients and correspondingly three intercepts appear. This is strange as when I see this exact code executed online for different datasets only one coefficient and intercept appear per variable. My thought process is that this problem may inadvertently coincide with the 4 levels coded on my dependent variable. Can someone perhaps tell me whether I am doing something wrong or how I can interpret the output of my code?
I have copy-pasted my input and output here: Input:
Cenviosy (0-3) DV)
Model_1 <- polr(DV ~ IV, data=DissData_2)
Output: Call: polr(formula = DV ~ IV, data = DissData_2)
Coefficients: IV1 IV2 IV3 -0.16796685 0.04071596 0.45894483
Intercepts: 0|1 1|2 2|3 -0.6393510 -0.3063191 1.0996081
Residual Deviance: 663.2484 AIC: 675.2484