Table 4.
Demographic differences in the Comic Style Markers.
| Correlations |
F-values of ANCOVA (age and gender as covariates) |
|||||
|---|---|---|---|---|---|---|
| Comic styles | Gender | Age | Education1 | Nation2 | Family3 | Housing4 |
| Fun | -0.08∗∗ | -0.07∗ | 0.49 | 1.71 | 1.50 | 4.02∗∗ |
| Humor | -0.03 | 0.19∗∗∗ | 2.01 | 1.38 | 1.30 | 3.88∗∗ |
| Nonsense | -0.09∗∗ | 0.10∗∗ | 1.20 | 4.61∗ | 2.67∗ | 1.81 |
| Wit | -0.13∗∗∗ | 0.08∗∗ | 3.10∗ | 1.88 | 1.16 | 1.98 |
| Irony | -0.14∗∗∗ | -0.23∗∗∗ | 2.54∗ | 0.54 | 1.71 | 0.64 |
| Satire | -0.20∗∗∗ | -0.05 | 0.59 | 0.32 | 1.26 | 1.88 |
| Sarcasm | -0.17∗∗∗ | -0.13∗∗∗ | 1.43 | 0.33 | 0.44 | 1.30 |
| Cynicism | -0.27∗∗∗ | -0.12∗∗∗ | 1.27 | 0.67 | 2.59 | 2.26∗ |
N = 1’013. ANCOVA, analysis of covariance. Gender was coded as 1 = male, 2 = female. Spearman’s rank correlations were used for education and for age. ∗p < 0.05; ∗∗p < 0.01; ∗∗∗p < 0.001. 1Five education categories: <10 years (n = 15), apprenticeship (n = 93), university entrance diploma (n = 520), university degree (n = 354), and doctoral degree (n = 25). 2Three nation categories: Germany (n = 579), Switzerland (n = 168), and Austria (n = 207). 3Four family categories: single (n = 486), in a relationship (n = 310), married or registered relationship (n = 156), and divorced or widowed (n = 46). 4Six housing categories: living alone (n = 274), living with partner (n = 225), living with partner and children (n = 100), living with children (n = 18), living in a shared apartment (n = 251), and living with parents/relatives (n = 135).