Table 3.

Multilevel Autoregression Analysis Predicting Negative Affect at Time t, random effects

Random-effects Parameters	Estimate	SE	95% CI
Person:
NAt-1 slope σ1	0.08	0.01	0.06, 0.11
Elapsed date slope σ2	0.03	0.00	0.02, 0.04
Intercept σ3	0.36	0.02	0.33, 0.40
r(σ1, σ2)	−0.15	0.20	−0.50, 0.25
r(σ1, σ3)	0.49	0.11	0.23, 0.68
r(σ2, σ3)	−0.24	0.12	−0.46, 0.01
Burst:
NAt-1 slope σ4	0.17	0.01	0.16, 0.19
Intercept σ5	0.09	0.01	0.08, 0.10
r(σ4, σ5)	0.57	0.06	0.44, 0.67
Day:
Intercept σ6	0.07	0.01	0.06, 0.09
Residual: AR(1)
rho	−0.15	0.01	−0.17, −0.13
sd(e)	0.53	0.00	0.53, 0.54