Table 4.

Multiple Regressions Predicting Natural Log Transformed Weekly Negative Affect

Random Effects
Covariance Parameter Estimates	Subject	Estimate	Std. Error	Z	p
Intercept	ID	0.043	0.007	5.97	<.01
AR (1)	ID	0.221	0.037	5.95	<.01
Residual	•	0.056	0.002	19.72	<.01

Fixed Effects
Predictor Variables	β	Std. Error	df	t	p
Level 1
Worst Pain*	0.003	0.001	1020	5.53	<.01
Positive Affect*	−0.157	0.019	1020	−8.23	<.01
Level 2
Pain Acceptance†	−0.022	0.025	104	−0.86	.39
Within-person Average Worst Pain	0.002	0.001	104	1.27	.21
Catastrophizing†	0.071	0.025	104	2.89	<.01
Age†	−0.000	0.003	104	−0.05	.96
Level 1 × Level 2
Pain Acceptance* × Worst Pain*	−0.002	0.001	1020	−2.58	.01

Note. ID = subject identifier; AR = autoregressive

^*Person centered variable

^†Sample centered variable