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Table 1 Specificity, sensitivity, positive and negative predictive value in each scenario of the simulation study using the cut-off value of 90%

From: Item pre-knowledge true prevalence in clinical anatomy - application of gated item response theory model

Proportion (True prevalence)

5%

5%

10%

10%

35%

35%

70%

70%

Cheating efficacy

High

Low

High

Low

High

Low

High

Low

 

Mean (SD)

Mean (SD)

Mean (SD)

Mean (SD)

Mean (SD)

Mean (SD)

Mean (SD)

Mean (SD)

Specificity (%)

77.82 (2.74)

78.16 (3.76)

81.65 (3.28)

81.46 (3.41)

94.41 (3.02)

92.33 (2.83)

98.00 (1.80)

97.65 (2.14)

Sensitivity (%)

69.78 (14.52)

60.30 (15.73)

81.35 (7.88)

69.35 (12.16)

83.75 (15.78)

83.35 (7.28)

90.75 (2.48)

68.99 (11.40)

Positive predictive value (%)

14.84 (6.37)

12.71 (3.48)

34.07 (7.92)

29.54 (5.57)

88.42 (10.31)

85.30 (4.50)

99.07 (0.83)

98.66 (1.20)

Negative predictive value (%)

96.90 (8.59)

96.66 (7.02)

97.18 (2.83)

96.00 (1.55)

92.02 (6.77)

89.88 (3.13)

82.30 (4.13)

58.31 (7.65)

Model absolute agreement (%)

77.44 (2.81)

76.97 (3.37)

81.16 (5.56)

80.16 (3.36)

90.54 (4.17)

88.21 (2.71)

92.93 (1.75)

77.59 (7.71)

Apparent Prevalence

24.52 (2.7)

24.07 (3.2)

24.7 (2.9)

23.7 (3.1)

32.8 (7.2)

33.2 (3.5)

64.1 (1.9)

49.0 (8.3)

Cohen’s Kappa (%)

17.22 (6.86)

15.07 (9.56)

38.32 (6.96)

31.64 (8.46)

78.43 (10.68)

73.76 (6.29)

84.21 (3.71)

56.26 (11.41)

Best Cut-off pointa

99.9%

100%

98.6%

98.8%

86.8%

91.4%

79.3%

65.9%

  1. aBest Cut-off point estimate by a classification tree