Table 4.

Regression model parameter estimates

Parameters	Mean	SD	93% CI	ESS	Ȓ
Interpersonal problems model
Agency	0.19	0.07	0.07; 0.31	3768	1
Communion	0.02	0.06	− 0.08; 0.12	5126	1
Elevation	0.08	0.07	− 0.04; 0.21	6509	1
Adolescent age	− 0.03	0.03	− 0.09; 0.04	7081	1
Variance of errors	0.27	0.06	0.18; 0.39	1016	1
Variance of random effects	0.21	0.07	0.05; 0.34	1214	1
Degrees of freedom in t-likelihood	21.88	14.15	4.84; 53.70	13,611	1
Parental depressive symptoms model
Intercept	− 0.03	0.12	− 0.24; 0.18	840	1
Depressive symptoms	− 0.16	0.07	− 0.30; − 0.04	4719	1
Depressive symptoms × mother	0.16	0.09	0; 0.33	5495	1
Mother	0.02	0.08	− 0.12; 0.17	9331	1
Adolescent age	− 0.03	0.03	− 0.10; 0.03	8449	1
Variance of errors	0.30	0.06	0.20; 0.41	1639	1
Variance of random effects	0.16	0.08	0.02; 0.30	1610	1
Degrees of freedom in t-likelihood	20.8	13.85	4.57; 51.59	14,430	1

Mean = Posterior mean; SD = Posterior standard deviation; 93% CI = 3.5th and 96.5th percentiles of the posterior distribution; ESS = Effective Sample Size, refers to the effective number of samples from the posterior distribution; R̂ = Gelman-Rubin Statistic, indicates convergence of HMC chains at 1