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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