For a summary of findings, look at the main findings page.

Dependent variable: future

Independent variables: Making A Difference. period studied abroad (years), gender, student/non-student, importance of religion, ethnicity, job, human rights and media freedom, family , crime, age, education, economic situation, moral duty, inter-racial harmony, political situation

SIGNIFICANCES (in brackets) AND COEFFICIENTS[in square brackets]:

Explanation- Significance tests how strong a correlation the independent variable has to the dependent variable. Coefficient tests how the dependent variable changes with an increase of one point on the independent variable.

Male [-0.56], Chinese [-0.915], economic situation [0.182], education [0.14] (0.000 sig) HIGHEST!

Political Situation [0.187] (0.001)

Crime [0.117] (0.002)

Inter-racial harmony [0.123] (0.003)

Family [0.100] (0.004)

Making a difference [-0.212] (0.005)

Human Rights and Media Freedom [0.105] (0.03)

Anova significance: 0.000 (best possible!)

R square : 0.631, explains 63% of the variance in the dependent factor.


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