Table 2.

Parameter estimates of process model.

		Estimate	S.E.	Lower BCI	Upper BCI	κ2
Outcome Variable	Predictor Variable
GAD Sx
	Observation	0.36**	0.02	0.33	0.39
	Reappraisal	−0.38**	0.02	−0.41	−0.35
	Suppression	0.14**	0.02	0.10	0.18
OCD Sx
	Observation	0.96**	0.04	0.88	1.04
	Reappraisal	−0.62**	0.04	−0.69	−0.55
	Suppression	0.38**	0.05	0.28	0.47
MDD Sx
	Observation	0.42**	0.02	0.38	0.46
	Reappraisal	−0.47**	0.02	−0.51	−0.44
	Suppression	0.26**	0.03	0.21	0.31
SAD Sx
	Observation	0.34**	0.03	0.28	0.41
	Reappraisal	−0.52**	0.03	−0.57	−0.46
	Suppression	0.32**	0.04	0.25	0.40
Reappraisal
	Observation	0.11**	0.02	0.06	0.15
Suppression
	Observation	0.08**	0.02	0.05	0.11
Indirect Effect via Reappraisal
	O→R→GAD	−0.04**	0.01	−0.06	−0.02	0.05
	O→R→OCD	−0.06**	0.01	−0.09	−0.04	0.03
	O→R→MDD	−0.05**	0.01	−0.07	−0.03	0.04
	O→R→SAD	−0.05**	0.01	−0.08	−0.03	0.03
Indirect Effect via Suppression
	O→S→GAD	0.01**	0.00	0.01	0.02	0.01
	O→S→OCD	0.03**	0.01	0.02	0.05	0.01
	O→S→MDD	0.02**	0.00	0.01	0.03	0.01
	O→S→SAD	0.03**	0.01	0.02	0.04	0.005

Note: S.E. = Standard Error; BCI = Bootstrapped Confidence Intervals; O = Observation; R = Reappraisal; S = Suppression; Sx = symptoms; κ²= kappa squared;

^*p < 0.05;

^**p<0.01.