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Table 4 Analysis of covariance (ANCOVA) results for perceptions of cigarettes and behavioral intentions to smoke

From: An experimental study of the effects of electronic cigarette warnings on young adult nonsmokers’ perceptions and behavioral intentions

 

Perceived harms of cigarettes

Perceived addictiveness of cigarettes

Perceived harms of cigarettes relative to e-cigarettes

Perceived addictiveness of cigarettes relative to e-cigarettes

Intentions to use cigarettes

 

F

P

η2

F

P

η2

F

P

η2

F

P

η2

F

P

η2

Main effects

               

 Ad/Warning condition

.82

.441

.004

.26

.774

.001

5.69

.004

.027

2.89

.057

.014

.85

.428

.003

 E-cigarette brand

.35

.702

.002

1.32

.267

.006

1.30

.274

.006

.47

.623

.002

.80

.449

.003

 Cigarette brand

.78

.461

.004

.04

.965

.002

.34

.713

.002

.56

.572

.003

3.40

.034

.014

Interaction effect

               

 Ad/Warning condition x

.35

.843

.003

.66

.624

.006

1.03

.392

.010

.43

.789

.004

2.21

.067

.018

 E-cigarette brand

 Ad/Warning condition x

.89

.469

.009

.72

.580

.007

2.36

.053

.022

1.50

.202

.014

.42

.795

.003

 Cigarette brand

 E-cigarette brand x

.81

.518

.008

.49

.744

.005

.75

.562

.007

.85

.491

.008

.95

.437

.008

 Cigarette brand

Covariates

               

 Ever used an E-cigarette

.04

.845

.001

.24

.622

<.001

15.90

<.001

.037

5.47

.020

.013

13.45

<.001

.027

 E-cigarette Advertising exposure

.05

.829

.001

1.54

.215

.004

.66

.416

.002

.83

.364

.002

1.65

.199

.003

 Cigarette smoking

.31

.576

<.001

.45

.502

.001

.04

.832

<.001

.23

.635

<.001

10.24

.002

.021