Table A.1.
Model fit indices for Models predicting
| Model | AIC | BIC | R21 |
|---|---|---|---|
|
| |||
| Ordinal Logistic Regression2 | 14,533.64 | 14,706.48 | 0.48 |
| OLS Regression | 15,363.24 | 15,522.26 | 0.20 |
| Poisson Regression | 19,922.66 | 20,074.76 | 0.22 |
| Negative Binomial Regression | 19,924.73 | 20,083.76 | 0.22 |
1
R2 calculated as Nagelkerke’s R2 for Ordinal Logistic, Poisson, and Negative Binomial models, unadjusted R2 for OLS regression.
2
Ordinal Logistic regression treats outcome variable as ordered factor, other models treat it as numeric.