Tweet
Question: Suppose you were riding in a car driven by a close friend. You know he is going too fast. He hits a pedestrian. He asks you to tell the police that he was obeying the speed limit. What would you do in this situation?
Choices: "Definitely tell the policy that your friend was going faster than the speed limit" "Probably tell the policy that your friend was going faster than the speed limit" "Probably tell the policy that your friend was not going faster than the speed limit" "Definitely tell the policy that your friend was not going faster than the speed limit"
Data: % of "Probably tell the policy that your friend was not going faster than the speed limit" "Definitely tell the policy that your friend was not going faster than the speed limit"
Period:
Area:
9 countries/ areas
Highlight:
1 France 32.2%
2 Japan31.7%
3 Italy30.6%
4 Germany24.5%
6 Canada19.0%
7 United Kingdom14.2%
9 United States12.3%

Note
Can't choose/ No answer are excluded. Germany: unweighted sum of West and East Germany. Israel: unweighted sum of Jews and Arabs. United Kingdom: excluding Northern Ireland.

Source
ISSP 1998

Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data7
Regression equation
Y = -2.420988 X +7.153
Correlation coefficient (r)-0.702
Coefficient of determination (R2)0.493

GDP per capita (current US$)
No. of data7
Regression equation
Y = -142925.443121 X +84321.622
Correlation coefficient (r)-0.780
Coefficient of determination (R2)0.608

Life expectancy at birth - Both sexes (years)
No. of data7
Regression equation
Y = 18.046047 X +77.273
Correlation coefficient (r)0.723
Coefficient of determination (R2)0.523

Fertility rate, total (births per woman)
No. of data7
Regression equation
Y = -0.731736 X +1.646
Correlation coefficient (r)-0.291
Coefficient of determination (R2)0.085

Suicide, age-standardized (per 100 000 population)
No. of data7
Regression equation
Y = -11.650098 X +12.198
Correlation coefficient (r)-0.291
Coefficient of determination (R2)0.085