Table 3 Results of simple mixed regression models focusing on differences between the main conditions: linear for mean reaction times and logistic for errors.
From: Patterns of multiple brain network activation in dot perspective task
Reaction time | Errors | |||||
---|---|---|---|---|---|---|
Coeff | 95% CI | p | OR | 95% CI | p | |
Arrow vs avatar | − 24.69 | [− 34.51, − 14.87] | < 0.001 | 0.95 | [0.73,1.25] | 0.728 |
Self vs other | 0.89 | [− 8.94,10.72] | 0.859 | 1.28 | [0.97,1.68] | 0.082 |
Consistent self vs inconsistent self (arrow + avatar) | − 59.39 | [− 72.87, − 45.92] | < 0.001 | 0.33 | [0.21,0.49] | < 0.001 |
Consistent self vs inconsistent self (arrow) | − 52.80 | [− 72.03, − 33.58] | < 0.001 | 0.29 | [0.16,0.53] | < 0.001 |
Consistent self vs inconsistent self (avatar) | − 65.99 | [− 84.90, − 47.07] | < 0.001 | 0.36 | [0.20,0.66] | 0.001 |
Consistent other vs inconsistent other (arrow + avatar) | − 94.52 | [− 108.39, − 80.65] | < 0.001 | 0.37 | [0.24,0.58] | < 0.001 |
Consistent other vs inconsistent other (arrow) | − 99.59 | [− 120.49, − 78.70] | < 0.001 | 0.39 | [0.21,0.73] | 0.003 |
Consistent other vs inconsistent other (avatar) | − 89.45 | [− 107.53, − 71.37] | < 0.001 | 0.34 | [0.18,0.66] | 0.001 |