Table 3.

Mixed model trend analysis of stimulus response and pain report measures.

Model	Deviance^b	P (change)^c	P (approximate)^d	β ₁	β ₂
SEP
Full^a	75228.28	-	-	-	-
Linear	75269.13	< 0.001	<0.001	−1.40***	-
Quadratic^e	75229.26	< 0.001	0.322	−3.89***	0.860***
PDR
Full^a	13139.28	-	-	-	-
Linear	13139.74	< 0.001	0.795	−0.018***	-
Quadratic	13139.36	0.538	0.777	−0.027***	0.0029
Worst Pain
Full^a	1856.39	-	-	-	-
Linear	1903.21	< 0.001	<0.001	−.35***	-
Quadratic	1857.38	< 0.001	0.320	−1.04***	0.23***

Task difficulty/complexity modeled as a categorical factor (equivalent to a cubic trend).

−2 times the log likelihood of maximum likelihood solution.

P-value for the null hypothesis that the fit of the higher-order model is not better than (i.e., that the deviance is equal to) that of the lower-order model.

P-value for the null hypothesis that the fit of the reduced model is as good as (i.e., that the deviance is equal to) that of the full model. Higher values are better.

Best fitting models are indicated in bold typeface.

^***

Value of the coefficient is significant at p<0.001.