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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:
26 countries/ areas
Highlight:
1 Latvia51.7%
2 Slovakia36.2%
3 Czech Republic34.6%
4 Israel 34.5%
5 Poland32.4%
6 France32.2%
7 Japan31.7%
8 Italy30.6%
9 Portugal28.2%
10 Slovenia26.7%
11 Germany24.5%
12 Austria22.7%
13 Chile20.0%
13 Sweden20.0%
15 Denmark19.1%
16 Canada19.0%
17 Switzerland18.5%
18 Ireland18.3%
19 Norway18.0%
20 Spain16.6%
21 Netherlands15.1%
22 United Kingdom14.2%
23 Hungary13.8%
24 Australia12.4%
25 United States12.3%
26 New Zealand7.2%

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.

No data for 12 countries.

Source
ISSP 1998

Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data26
Regression equation
Y = -1.738864 X +7.146
Correlation coefficient (r)-0.388
Coefficient of determination (R2)0.151

GDP per capita (current US$)
No. of data26
Regression equation
Y = -116692.448692 X +76989.169
Correlation coefficient (r)-0.478
Coefficient of determination (R2)0.228

Life expectancy at birth - Both sexes (years)
No. of data26
Regression equation
Y = -10.015460 X +83.321
Correlation coefficient (r)-0.389
Coefficient of determination (R2)0.151

Fertility rate, total (births per woman)
No. of data26
Regression equation
Y = 0.368582 X +1.455
Correlation coefficient (r)0.116
Coefficient of determination (R2)0.013

Suicide, age-standardized (per 100 000 population)
No. of data26
Regression equation
Y = 2.637838 X +9.060
Correlation coefficient (r)0.093
Coefficient of determination (R2)0.009