Table 1 Planned paired samples t-tests (AUC) and simple main effects analysis (d′, overall accuracy) comparing mean performance pre-training to post-training for both training conditions
From: Masked face identification is improved by diagnostic feature training
Measure | Training | Pre-training | Post-training | df | t | 95% CI | p | d | BF10 |
|---|---|---|---|---|---|---|---|---|---|
AUC | Diagnostic | .774 (.094) | .808 (.083) | 45 | 3.28 | 0.01, 0.06 | .002* | 0.48 | 15.76 |
Control | .764 (.088) | .772 (.099) | 43 | 0.70 | − 0.01, 0.03 | .487 | 0.11 | 0.21 | |
d′ | Diagnostic | 1.32 (0.56) | 1.56 (0.59) | 45 | 3.16 | 0.09, 0.39 | .003* | 0.47 | 11.52 |
Control | 1.39 (0.51) | 1.35 (0.53) | 43 | − 0.68 | − 0.18, 0.09 | .501 | 0.10 | 0.20 | |
Overall Accuracy | Diagnostic | 72.23 (8.21) | 75.80 (7.97) | 45 | 3.39 | 1.45, 5.70 | .001* | 0.50 | 20.67 |
Control | 72.70 (8.04) | 72.11 (8.74) | 43 | − 0.63 | − 2.49, 1.30 | .530 | 0.10 | 0.20 |