Table 4.

Mean differences of (combined) sensitivity, specificity between optimal cut-offs of latent factor models and sum score along with bootstrapped 95% confidence interval in parentheses

	ΔAUC	Difference in sensitivity	Difference in specificity	Difference in combined sensitivity and specificity
Unidimensional model – Sum Score	0.006 (0.000–0.013)	0.0356 (−0.0116; 0.0886)	−0.0174 (−0.0328; −0.0029)	0.0182 (−0.0303; 0.0717)
Two-dimensional model – Sum Score	0.007 (0.000–0.015)	0.0503 (0.0000; 0.1048)	−0.0257 (−0.0506; −0.0059)	0.0246 (−0.0301; 0.0836)
Bi-factor model – Sum Score	0.007 (0.000–0.015)	0.0486 (−0.0041; 0.1041)	−0.0185 (−0.0414; 0.0009)	0.0300 (−0.0253; 0.0919)