Table 2.
Summary of correlation analyses between all measured variables (study 1, N = 161; study 2, N = 240).
|
| |||||
|---|---|---|---|---|---|
| STUDY 1 | 1 | 2 | 3 | 4 | |
|
| |||||
| 1. | Age | – | |||
|
| |||||
| 2. | Gender | .19* | – | ||
|
| |||||
| 3. | Pol. Ideology | –.09 | .05 | – | |
|
| |||||
| 4. | Compliance | –.16* | –.09 | –.05 | – |
|
| |||||
| STUDY 2 | |||||
|
| |||||
| 1. | Age | – | |||
|
| |||||
| 2. | Gender | .15 | – | ||
|
| |||||
| 3. | Pol. Ideology | –.01 | –.10 | – | |
|
| |||||
| 4. | Compliance | .03 | .05 | .13 | – |
|
| |||||
Note. Numbers represent Pearson correlation coefficients. *p < .05.