Perceptual learning in the identification of lung cancer in chest radiographs

Cognitive Research: Principles and Implications

Table 3 Mean d’ for the small tumor cutout used in the testing sessions

Experiment and training schedule	Testing image	Pre-test	Post-test 1	Post-test 2	Post-test 3	Final test	Pre-test vs. final test
1A (N = 12) 30-image	Trained	−0.21	0.34	0.07	0.38	0.27	P = .11
1A (N = 12) 30-image	Untrained	0.00	0.40	0.36	0.15	0.07	P = .83
1B (N = 12) 60-image	Trained	0.10	0.53	0.47	0.66	0.44	P = .13
1B (N = 12) 60-image	Untrained	0.36	0.34	0.33	0.52	0.65	P = .38
2 (N = 12) 60-image	Trained	0.37	0.39	−0.02	0.43	−0.06	P = .04
2 (N = 12) 60-image	Untrained	0.10	0.14	0.53	0.17	0.45	P = .17
3 (N = 24) 30-image	Trained	−0.04	Not applicable			0.48	P < .001
3 (N = 24) 30-image	Untrained	−0.05	Not applicable			0.08	P = .30

P values show results from t tests that compared pre-test with the final post-test