Table 4. Hierarchical Regression Analyses of AV Performance and Age.
| Step 1: Unimodal Variance | Step 2: Age-related Variance | |||
|---|---|---|---|---|
| Condition | R2 | F(df) | ΔR2 | Δ F(df)_ |
| AV, Blur 0 | .607 | F(2,106)=82.0* | .000 | F(1,105)=0.1 |
| AV, Blur 1 | .585 | F(2,106)=74.6* | .001 | F(1,105)=0.2 |
| AV, Blur 2 | .562 | F(2,106)=67.9* | .000 | F(1,105)=0.0 |
| AV, Blur 3 | .454 | F(2,106)=44.1* | .000 | F(1,105)=1.2 |
| AV, Blur 4 | .340 | F(2,106)=27.3* | .002 | F(1,105)=0.3 |
Note: Unimodal variance includes performance in the corresponding V-only blur condition and in the A-only condition.
p<.001