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.