Table 1.
Smokers (n = 24) | Nonsmokers (n = 24) | Two-way ANOVA (FDR corrected p values) | ||||||
---|---|---|---|---|---|---|---|---|
Smelling | Vaping | Smelling | Vaping | Assessment type | Smoking status | Interaction | ||
Liking | −1.4 ± 1.0 | 0.8 ± 0.9 | 1.2 ± 0.9 | −0.1 ± 0.9 | .39 | .17 | .17 | |
Intensity | 9.6 ± 0.8 | 3.5 ± 0.8 | 12.1 ± 0.8 | 11.4 ± 0.8 | .56 | .17 | .01* | |
Familiarity | 7.0 ± 1.0 | 2.5 ± 1.1 | 4.8 ± 1.0 | 2.1 ± 1.1 | .17 | .23 | .43 | |
Irritation | −22.1 ± 0.9 | −26.2 ± 0.8 | −23.5 ± 0.8 | −25.5 ± 0.8 | .17 | .27 | .27 |
FDR = false discovery rate. The ANOVA model included assessment type (smelling vs. vaping) and smoking status (smokers vs. nonsmokers). Data were collected on a 0- to 100-mm Visual Analog Scale (anchored “not at all” to “extremely”) and centered around zero by subtracting a constant value of 50.
*Significant (p ≤ .05) after FDR correction.