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Question: In deciding on pay for two people doing the same kind of work, how important should be how long the person has been with the firm?
Choices: "Essential" "Very important" "Fairly important" "Not important" "Not very important" "Not important at all"
Data: % of "Essential" "Very important" "Fairly important"
Period:
Area:
6 countries/ areas
Highlight:
1 Italy82.9%
2 Canada70.0%
3 France68.4%
4 United States68.0%
5 Germany67.0%
6 Japan 59.3%

Note
Can't choose Germany: unweighted sum of West and East Germany. Israel: unweighted sum of Jews and Arabs. United Kingdom: excluding Northern Ireland.

No data for 4 countries.

Source
ISSP 1997

Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data6
Regression equation
Y = 0.870660 X +6.102
Correlation coefficient (r)0.168
Coefficient of determination (R2)0.028

GDP per capita (current US$)
No. of data6
Regression equation
Y = -38188.939411 X +75080.705
Correlation coefficient (r)-0.245
Coefficient of determination (R2)0.060

Life expectancy at birth - Both sexes (years)
No. of data6
Regression equation
Y = -4.695919 X +84.753
Correlation coefficient (r)-0.150
Coefficient of determination (R2)0.022

Fertility rate, total (births per woman)
No. of data6
Regression equation
Y = -0.871206 X +2.100
Correlation coefficient (r)-0.309
Coefficient of determination (R2)0.095

Suicide - all ages (per 100,000 population)
No. of data6
Regression equation
Y = -38.442651 X +39.295
Correlation coefficient (r)-0.876
Coefficient of determination (R2)0.767