Table 2. Parameters of linear regression models for desire to quit smoking, aversion to smoking, and quit efficacy with warning and efficacy as predictors.
Dependent Variable | |||||||||
Predictor | Desire to Quit Smoking (Dq) | Aversion to Smoking (−Ds) | Quit Efficacy (Eq) | ||||||
B | SE | Prob | B | SE | Prob | B | SE | Prob | |
Gender | .009 | .034 | .795 | .085 | .026 | .001 | −.078 | .026 | .002 |
Age Group | .147 | .035 | <.001 | .105 | .027 | <.001 | −.213 | .027 | <.001 |
Warning (α) | .026 | .019 | .174 | .069 | .015 | <.001 | −.002 | .016 | .915 |
Efficacy (Eq) | −.180 | .018 | <.001 | .025 | .014 | .076 | |||
Efficacy2 (Eq 2) | −.024 | .016 | .139 | −.002 | .012 | .887 | |||
Smoke Frequency (β) | −.118 | .037 | .002 | −.439 | .029 | <.001 | −.617 | .027 | <.001 |
Note: Males were coded as 0 and females as 1; Age was coded as 0 for 18–24 and 1 for 25+; Smoke frequency was coded 1 for daily smokers and 0 for less often. B is the unstandardized coefficient, SE is the standard error, and Prob is the probability of null hypothesis.