Table 1. Hierarchical multiple regression analyses predicting the accuracy for face stimuli with 70% visual noise.
B | S.E. | b | t | p | ||
---|---|---|---|---|---|---|
Step 1 | ||||||
Intercept | 0.296 | 0.187 | 1.579 | 0.121 | ||
Age | 0.005 | 0.002 | 0.281 | 2.218 | 0.031 | |
Gender | 0.068 | 0.063 | 0.14 | 1.081 | 0.285 | |
Education | -0.058 | 0.023 | -0.331 | -2.562 | 0.014 | |
Step 2 | ||||||
Intercept | 0.111 | 0.19 | 0.584 | 0.562 | ||
Age | 0.004 | 0.002 | 0.225 | 1.847 | 0.071 | |
Gender | 0.021 | 0.062 | 0.044 | 0.342 | 0.734 | |
Education | -0.04 | 0.022 | -0.227 | -1.774 | 0.082 | |
RPBS | 0.002 | 0.001 | 0.353 | 0.264 | 0.011 |
Note: ΔR2 = .23 for Step 1; ΔR2 = .33 for Step 2.