Table 2.

Cusp catastrophe modeling of reported days of smoking during the 30-day period prior to the survey, including the survey day

Model variables	Asymmetry	Bifurcation	Days smoked
Estimated parameter
Intercept	α 0 = −1.4314**	β 0 = 2.9907**	w 0 = −3.4534**
Threat appraisal	α 1 = 0.2168**	β 1 = −0.0010	w 1 = 1.4228**
Coping appraisal	α 2 = −0.0010	β 2 = 0.1517
Model fit	Cusp	Logistic	Linear
AIC	736	1318	1332
BIC	770	1348	1349
R 2	0.81	0.07	0.04
Estimated parameter
Intercept	α 0 = 0.3515	β 0 = 2.7717**	w 0 = −3.4748**
Threat appraisal	α 1 = 0.1987**	β 1 = −0.0288	w 1 = 1.4217**
Coping appraisal	α 2 = −0.0466	β 2 = 0.1760*
Gender (if female)	a 3 = 1.3050**
Grade	a 4 = 0.0120
Model fit	Cusp	Logistic	Linear
AIC	622	1208	1233
BIC	665	1246	1258
R 2	0.82	0.25	0.21

Note:

*p < 0.05

**p < 0.001