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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:
18 countries/ areas
Highlight:
1 Spain89.2%
2 Poland85.8%
3 Israel83.3%
4 Italy82.9%
5 Norway81.1%
6 Slovenia79.4%
7 Portugal78.1%
8 Hungary76.0%
9 Canada70.0%
10 Netherlands68.7%
11 France68.4%
12 United States68.0%
13 Germany67.0%
14 New Zealand66.8%
15 Switzerland66.0%
16 Czech Republic64.9%
17 Japan 59.3%
18 Denmark54.0%

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 20 countries.

Source
ISSP 1997

Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data18
Regression equation
Y = -1.755885 X +8.070
Correlation coefficient (r)-0.334
Coefficient of determination (R2)0.112

GDP per capita (current US$)
No. of data18
Regression equation
Y = -71318.544203 X +99850.190
Correlation coefficient (r)-0.274
Coefficient of determination (R2)0.075

Life expectancy at birth - Both sexes (years)
No. of data18
Regression equation
Y = -2.780087 X +82.949
Correlation coefficient (r)-0.091
Coefficient of determination (R2)0.008

Fertility rate, total (births per woman)
No. of data18
Regression equation
Y = -0.057231 X +1.656
Correlation coefficient (r)-0.014
Coefficient of determination (R2)0.000

Suicide, age-standardized (per 100 000 population)
No. of data18
Regression equation
Y = -10.716857 X +17.151
Correlation coefficient (r)-0.370
Coefficient of determination (R2)0.137