Skip to main content

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 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

−0.04

0.67

0.64

0.95

1.58

P < .001

Untrained

−0.10

0.40

0.22

0.68

0.88

P < .002

1B (N = 12)

60-image

Trained

0.30

0.76

0.96

0.86

0.88

P < .001

Untrained

−0.03

0.47

0.88

0.48

1.01

P < .007

2 (N = 12)

60-image

Trained

0.18

0.94

0.49

1.01

0.68

P = .16a

Untrained

−0.15

0.80

0.54

0.70

0.66

P < .005

3 (N = 24)

30-image

Trained

−0.11

Not applicable

1.14

P < .001

Untrained

0.08

Not applicable

0.74

P < .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