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. Author manuscript; available in PMC: 2020 Jun 1.
Published in final edited form as: Behav Res Methods. 2019 Jun;51(3):1102–1116. doi: 10.3758/s13428-018-01195-w

Table 1.

ROC analyses of CFMQ score screening for prosopagnosia

ROC Analyses - Screening for Prosopagnosia
Optimization type Cutoff score Sensitivity 95% CI Specificity 95% CI PPV 95% CI
Youden’s J 62 89.19% 75.29% – 95.71% 68.06% 65.64% – 70.39% 6.52% 4.68% – 9.02%
Standard 34 18.92% 9.48% – 34.21% 99.80% 99.41% – 99.93% 70% 39.68% – 89.22%
Maximum PPV 34 18.92% 9.48% – 34.21% 99.80% 99.41% – 99.93% 70% 39.68% – 89.22%

Note. PPV = Positive Predictive Value

Youden’s J returns the operating point where sensitivity rate + specificity rate -1 is maximized. Thus, with this optimization, the cost of a loss in sensitivity rate is equal to the cost of a loss in specificity rate.

The standard optimization is similar to Youden’s J, except that costs are adjusted to reflect that those without prosopagnosia greatly outnumber those who with prosopagnosia. The cost of loss of specificity, therefore, greatly outweighs the cost of loss of sensitivity. In practice, this second criterion attempts a balance between sensitivity and positive predictive value, and so returns the main CFMQ cutoff of interest.