Table 3.

The results of the optimized hierarchical mixed-effects multiple linear regression analysis (n = 15,042).

Predictor	F	P
Intercept	136.285	< 0.0005
Rater’s age	0.126	0.722
Rater’s experience	0.926	0.337
Rater’s sex	9.577	0.002
Rater’s specialty	0.455	0.635
Photomodel’s facial index	103.608	< 0.00000005
Photomodel’s midline deviation	132.975	< 0.00000005
Photomodel’s midline roll	39.720	< 0.00000005
Rater’s sex × Rater’s specialty	3.062	0.048
Rater’s sex × Model’s midline deviation	3.458	0.001
Rater’s specialty × Model’s midline deviation	4.925	< 0.00000005
Rater’s sex × Model’s midline roll	3.281	0.003
Rater’s specialty × Model’s midline roll	2.002	0.021

Significant values are in bold.