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Table 2 Cusp catastrophe modeling of reported days of smoking during the 30-day period prior to the survey, including the survey day

From: Protection motivation theory and cigarette smoking among vocational high school students in China: a cusp catastrophe modeling analysis

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
  1. Note:
  2. *p < 0.05
  3. **p < 0.001