Table 7. Results of binary logistic regression with simultaneous entry in two blocks (SE in parentheses) Study 2, IB Cross.
| NEAR | ||||||
| Variables | B (SE) | Wald | Exp(B) | Exp(B) lower | Exp(B) upper | |
| Constant* | 0.56 (0.22) | 6.34 | 1.76 | |||
| Working Memory* | 0.72 (0.31) | 5.40 | 2.05 | 1.12 | 3.75 | |
| Attention Breadth | 0.10 (0.29) | 0.13 | 1.11 | 0.63 | 1.95 | |
| R 2 = .07 (Cox & Snell), Model: χ 2 (2) = 6.50, p < .05 | ||||||
| Constant | 1.20 (0.96) | 1.59 | 3.33 | |||
| Working Memory* | 0.72 (0.32) | 4.98 | 2.05 | 1.09 | 3.85 | |
| Attention Breadth | 0.11 (0.29) | 0.15 | 1.12 | 0.63 | 1.97 | |
| Navon | -0.00 (0.02) | 0.03 | 1.00 | 0.96 | 1.03 | |
| CFQ | -0.01 (0.02) | 0.46 | 0.99 | 0.95 | 1.03 | |
| R 2 = .07 (Cox & Snell), Model: χ 2 (4) = 6.99, p = .14 | ||||||
| FAR | ||||||
| Variables | B (SE) | Wald | Exp(B) | Exp(B) lower | Exp(B) upper | |
| Constant* | -0.68 (0.23) | 8.38 | 0.51 | |||
| Working Memory | 0.36 (0.37) | 0.94 | 1.43 | 0.70 | 2.94 | |
| Attention Breadth | 0.19 (0.30) | 0.39 | 1.21 | 0.67 | 2.18 | |
| R 2 = .03 (Cox & Snell), Model: χ 2 (2) = 2.41, p = .30 | ||||||
| Constant | 0.62 (0.96) | 0.41 | 1.85 | |||
| Working Memory | 0.35 (0.38) | 0.87 | 1.42 | 0.68 | 2.98 | |
| Attention breadth | 0.13 (0.31) | 0.17 | 1.14 | 0.62 | 2.08 | |
| Navon | -0.01 (0.02) | 0.50 | 0.99 | 0.95 | 1.02 | |
| CFQ | -0.03 (0.02) | 1.52 | 0.97 | 0.93 | 1.02 | |
| R 2 = .05 (Cox & Snell), Model: χ 2 (4) = 4.77, p = .31 | ||||||
Note. Both regressional analyses (Near, Far) were performed in two separate blocks. The variables of the first block are depicted first and the variables of the whole model, including the second block, are depicted below it. The upper and the lower bounds of the 95% confidence interval of Exp(B) are depicted as well.
*p < .05