Table 3.
Hierarchical Regression Analyses
| Dichotomous Outcome | Continuous Outcome | |||||||
|---|---|---|---|---|---|---|---|---|
| Δχ2 | Nagelkerke R2 for each step | Odds Ratio for final model | Standard Error for final model | ΔR2 | Standardized β for each step | Standardized β for final model | VIF for final model | |
| Model 1 | ||||||||
| GCS | 6.80** | .13 | .87 | .13 | .16** | −.40 | −.21 | 1.21 |
| TFC | 6.91** | .26 | 1.02 | .03 | .13** | .40 | .20 | 1.62 |
| PTA | 3.04^ | .31 | 1.03 | .02 | .09** | .36 | .36 | 1.47 |
| Overall Model | χ2 = 16.75*, Nagelkerke R2 = .31 | Adjusted R2= .35 | ||||||
| Model 2 | ||||||||
| GCS | 6.80** | .13 | .87 | .12 | .16** | −.40 | −.22 | 1.14 |
| TFC+PTA | 9.95** | .31 | 1.03 | .01 | .22*** | .50 | .50 | 1.14 |
| Overall Model | χ2 = 16.74***, Nagelkerke R2=.31 | Adjusted R2= .36 | ||||||
p<.10;
p<.05;
p<.01;
p<.001;
VIF=Variance Inflation Factor