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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