Table 4.

Multilevel Regression Predictions of Weekly Fatigue

Random Effects: Prediction of Weekly Fatigue
	Covariance Parameter Estimates	Subject	Estimate	Std. Error	Z	P
Variance of intercepts	UN (1,1)	ID	0.50	0.08	6.48	< .01
Autoregressive component	AR (1)	ID	0.26	0.04	7.11	< .01
Level 1 residual	Residual		0.53	0.03	19.46	< .01

Fixed Effects
Predictor Variables		β	Std. Error	DF	T	p
Level 1
Δ in Interpersonal Stress (ΔIS)		0.09	0.11	1046	0.78	.44
Δ in Positive Events (ΔPE)		−0.007	0.004	1046	−1.87	.06
Level 2
Neuroticism		0.18	0.10	119	1.81	.07
Diagnosis		0.61	0.16	119	3.89	< .01
Average PE		−0.01	0.006	119	−2.14	.03
Average IS		0.26	0.21	119	1.23	.22
Level 1 × Level 2
ΔIS × Diagnosis		0.33	0.13	1046	2.49	.01
ΔPE × Diagnosis		−0.003	0.005	1046	−0.64	.53