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Table 2 Mean d’ for intact images 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−0.040.670.640.951.58P < .001
Untrained−0.100.400.220.680.88P < .002
1B (N = 12)
60-image
Trained0.300.760.960.860.88P < .001
Untrained−0.030.470.880.481.01P < .007
2 (N = 12)
60-image
Trained0.180.940.491.010.68P = .16a
Untrained−0.150.800.540.700.66P < .005
3 (N = 24)
30-image
Trained−0.11Not applicable1.14P < .001
Untrained0.08Not applicable0.74P < .001
  1. P values show results from t tests comparing pre-test with the final post-test
  2. aIn experiment 2, although the pre-test did not differ significantly from the final post-test, it was significantly worse than the average of all four post-tests, p < .05