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. Author manuscript; available in PMC: 2015 Apr 1.
Published in final edited form as: J Dev Phys Disabil. 2013 Oct 31;26(2):237–247. doi: 10.1007/s10882-013-9359-8

Table 5. Result for the PCQ behavior problems cluster as the test variables Vis-à-Vis dichotomized analog subscale scores.

State variable AUCa Cut-points Sensitivity 1 - Specificity
BPI-01 SIB (freq.) .69* 0.5 .88 .80
1.5 .68 .40
2.5 .30 .00
BPI-01 Aggression Destruction (freq.) .75** 0.5 .89 .73
1.5 .70 .20
2.5 .29 .07
RBS-R SIB .58 0.5 .91 .79
1.5 .68 .57
2.5 .27 .21

AUC Area under the curve

a

Guidelines for the interpretation of the AUC values: .90–1=excellent; 80–.90=good; 70–.80=fair; .60–.70=poor; .50–.60=fail (Tape 2013, August 21)

*

p<.05;

**

p<.001