For a summary of findings, look at the main findings page.
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.
As you can see, job, moral duty and making a difference are all statistically significant at the 0.1 (10%) threshold.
Job – [-0.04], (0.067) one point increase in job importance creates -0.04 points in desire to come home. Significance of 0.067.
Moral Duty – [0.036], (0.059)
Making a difference – [-0.115] (most drastic effect because making a difference is ranked on a scale of 1-5, so the real effect is doubled to -0.230), (0.033)
Low r-squared value: these three factors only account for 13% of the variation in the dependent factor. In other words, many other factors not included in this regression make up the other 87% of the decision.
ANOVA significance at 0.003 level (very strong significance).