Table 3.

Regression models

Y	Model	b	SE	t	p	CI (lower)	CI (upper)
1	PSS → AIS (a)	.245	.095	2.589	.010	.059	.430
	AIS → FTND (b)	.053	.011	4.861	<.001	.032	.074
	PSS→ FTND (c′)	.020	.020	0.965	.335	−.020	.058
	PSS→ FTND (c)	.032	.020	1.588	.113	−.008	.071
	PSS → AIS → FTND (a*b)	.013	.006			.004	.027
2	AIS → BCS (b)	.526	.043	12.183	<.001	.441	.610
	PSS→ BCS (c′)	.109	.078	1.391	.165	−.045	.262
	PSS→ BCS (c)	.237	.092	2.583	.010	.057	.418
	PSS→ AIS → BCS (a*b)	.129	.050			.032	.227
3	AIS → SPEQ (b)	.020	.003	7.293	<.001	.015	.025
	PSS → SPEQ (c′)	.004	.005	0.852	.395	−.006	.014
	PSS→ SPEQ (c)	.009	.005	1.733	.084	−.001	.019
	PSS → AIS → SPEQ (a*b)	.005	.002			.001	.009

Note. a = Effect of X on M; b = Effect of M on Y_i; c = Total effect of X on Y_i; c′ = Direct effect of X on Y_i controlling for M; Path a is equal across all models; therefore, it presented only in the model with Y₁ to avoid redundancies. N = 365 for analyses of models Y₁-Y₄. The standard error and 95% CI for a*b are obtained by bootstrap with 10,000 re-samples. PSS (Perceived Stress Scale) is the predictor, AIS (Avoidance and Inflexibility Scale) is the explanatory variable, and FTND (nicotine dependence; Y₁), BCS (Barriers to Cessation Scale; Y₂), and SPEQ (Severity of Problems Experienced while Quitting; Y₃) are the outcome variables. CI (lower) = lower bound of a 95% confidence interval; CI (upper) = upper bound; → = affects.