Poster 1.5 (PDF)




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Do gender and education influence
the size of donation?
Y3842538 University of York
BACKGROUND
Previous research has identified that there are
differences in both the likelihood of donating to
charity and the size of the donation between men
and women, with women being more likely to
donate and also being more likely to give a larger
donation (Mesch, Brown, Moore, & Hayat, 2011).
It has also been found that the education level of a
donator affects the size of their donation and that the
higher education level a person has, the more
money they may give to charity (Bekkers & Wiepking,
2011).
We wanted to identify whether differences in giving
between gender and education level shown in the
above studies was replicated when people gives
money to a charity.

METHODS & DESIGN
• Subjects:
In this research, a total number of 620 participants were
recruited. And except missing data, there were total 518
participants accounted into analyses.
Based on their educational level, they were divided into:
Group 1 – less than high school;
Group 2 – high school;
Group 3 – some college;
Group 4 – Bachelor’s degree or higher.
Based on participants’ gender, they were divided into
group 1 – male
group 2 – female.

RESULTS
The following up is a graph showing about the results.

• Procedure:

CONCLUSION
Those analyses suggest that:
• the education level slightly affects the amount of
donation and this affection shows positive correlation.
• The gender factor makes no difference in the amount of
donation which is contrary to previous research. Actually,
the results show that the males’ donation is sight higher
than females’, especially in the group of higher education.

HYPOTHESIS
Researchers hypothesize that the donation amount will be
positively correlated with education level, with greater
donation amounts received from females compared to
males.

REFERENCE

The following is the hypothetical results showed by graph:

RESULTS
According to the regression statistics, the results show that
the donation amount and education level have positively
slight but significant correlation: r = .10; F (1, 516) = 5.45,
p = .020. The result of independent t-Test demonstrates
that different gender does not significantly influence the
amount of donation (t = .28, p = .778).

• Bekkers, R., & Wiepking, P. (2011). Who gives? A
literature review of predictors of charitable giving part one:
religion, education, age and socialisation. Voluntary
Sector Review, 2(3), 337-365.
• Mesch, D. J., Brown, M. S., Moore, Z. I., & Hayat, A. D.
(2011). Gender differences in charitable giving.
International Journal of Nonprofit and Voluntary Sector
Marketing, 16(4), 342-355.

ACKNOWLEDGEMENTS
This research is a group work. Thanks for the hard work of
my teammates.






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