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

From: Perceptual learning in the identification of lung cancer in chest radiographs

Experiment and training scheduleTesting imagePre-testPost-test 1Post-test 2Post-test 3Final testPre-test vs. final test
1A (N = 12)
30-image
Trained−0.210.340.070.380.27P = .11
Untrained0.000.400.360.150.07P = .83
1B (N = 12)
60-image
Trained0.100.530.470.660.44P = .13
Untrained0.360.340.330.520.65P = .38
2 (N = 12)
60-image
Trained0.370.39−0.020.43−0.06P = .04
Untrained0.100.140.530.170.45P = .17
3 (N = 24)
30-image
Trained−0.04 Not applicable0.48P < .001
Untrained−0.05 Not applicable0.08P = .30
  1. P values show results from t tests that compared pre-test with the final post-test