Table 2.
Summary of the linear regression showing relation between individual scores on the three tasks and sociodemographic characteristics.
| DF effect | Suppress (RT) | Suppress | RIF effect | |
|---|---|---|---|---|
| Constant | 0.24 (0.03) | −241.82 (30.77) | 0.04 (0.02) | 0.01 (0.02) |
| p = 0.00*** | p = 0.00*** | p = 0.14 | p = 0.60 | |
| Age | −0.02 (0.01) | −9.92 (14.89) | 0.003 (0.01) | 0.01 (0.01) |
| p = 0.05* | p = 0.51 | p = 0.66 | p = 0.11 | |
| Education | −0.01 (0.01) | 1.22 (9.25) | −0.02 (0.01) | −0.002 (0.01) |
| p = 0.30 | p = 0.90 | p = 0.03* | p = 0.74 | |
| Age:Sex (F) | −50.16 (19.04) | |||
| p = 0.01** | ||||
| Sex (F) | −0.01 (0.03) | −75.72 (38.43) | 0.05 (0.03) | 0.06 (0.03) |
| p = 0.75 | p = 0.06 | p = 0.09 | p = 0.04* | |
| Observations | 172 | 172 | 172 | 172 |
| R 2 | 0.03 | 0.16 | 0.05 | 0.04 |
| Adjusted R2 | 0.01 | 0.14 | 0.03 | 0.02 |
| Residual std. error | 0.22 (df = 168) | 237.22 (df = 167) | 0.19 (df = 168) | 0.19 (df = 168) |
| F Statistic | 1.79 (df = 3; 168) | 7.98*** (df = 4; 167) | 2.74* (df = 3; 168) | 2.16 (df = 3; 168) |
| Note: | ||||
F, Female.
*p < 0.05; **p < 0.01; ***p < 0.001.