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Y1475874 Poster .pdf

Original filename: Y1475874 Poster.pdf
Title: Microsoft PowerPoint - Poster
Author: Alice M

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Does marriage make you tight?


Key Findings:

Research Questions:
Does marital status affect if and how much money males and females donate?

Results found men donate more money than women to a charity supporting the
hurricane Katrina relief, this rejects the gender hypothesis that women would donate


Married people were shown to donate significantly more than single individuals to the
charity, supporting the hypothesis that marital status will influence the decision to donate.

Previous studies found gender ideologies influence how males and females respond to
charities in individualistic countries (Nelson et al., 2006). Research also found single
women in the United States were significantly more likely to donate (Rooney et al.,
2005) and donate more money than single men (Mesch et al., 2006).

But, the hypothesis that marital status will not affect the amount of money donated when
income is controlled for was rejected because, when income was constant, there was still
a significant difference in donation amount between those who were married and single,
where married people donate more.

Another study by Mesch et al. (2006) found married people (males and females) were
more likely to donate; however, they did not give more money than single men after
controlling for income and other factors.

Overall, the results imply that married men donate the most money, suggesting that
actually, marriage does not make you tight.

Are women likely to donate more money than men?

Strengths and Weaknesses:
Current Study:

+ Large sample size

This between-subjects design looks at whether males or females are more likely to
donate to charity and whether married or single people donate more.

+ It was made sure that participants could hear the video played to them
- Only small effect sizes were found



1. Women will donate more money to the charity supporting hurricane Katrina.
2. Marital status will influence the decision to donate but, it will not affect the
amount participants give when income is controlled for.


Controlled variable
• Income

Dependent variable

• Gender
• Male or female
• Marital Status
• Married or single

• Amount of money
donated to the
Hurricane Katrina
charity (out of $100)

Figure 1. A line graph showing the effect of marital status and gender on the amount
of money donated in dollars. Error bars represent standard error.

A significant effect of marital status on the amount
of lottery winnings donated, F(1, 412) = 11.40, p =
.001, = .027.

A significant effect of marital status on the amount
of money actually donated in 2005, F(1, 470) =
7.42, p = .007, ² = .016.
The effect of marital status on the hypothetical
lottery donations and actual amount donated in
2005 using one-way ANOVA:

A significant difference in hypothetical giving
between married (M= 60.66) and single (M =
47.59) individuals, F(1, 411) = 11.57, p = .001.

Married (M = 385.95) and single (M = 172.56)
people differed in their levels of donations made in
2005, F(1, 469) = 7.41, p = .007.

 620 participants (413 included in the analysis; 224 male and 189 female)
 Aged 18-92 years old (M = 47.5 years, SD = 16.7 years)

Step 2

Step 3

Step 4

The effect of gender on the hypothetical lottery
donations and actual amount donated in 2005 using
one-way ANOVA:

shown a
video about a
food pantry
charity in

Asked if they
would donate
to the charity
after seeing
this video

 Expands our knowledge of gender differences in generosity.

An ANCOVA was conducted on the effects of
marital status when income was held constant:


Step 1

 Provides an insight into the best people charities should target for financial support.

Told that 1 in
10 randomly
receive $100

Asked how
much money
they would
donate if they
received the

No difference was found in the hypothetical
donations made from lottery winners between
males (M = 57.52) and females (M = 56.59), F(1,
517) = 0.08, p = .778.
A significant difference in donations made in 2005
was found between males (M = 370.78) and
females (M = 232.86), F(1, 595) = 4.38, p = .037.

Mesch, D. J., Rooney, P. M., Steinberg, K. S. & Denton, B. (2006). The effects of race, gender,
and marital status on giving and volunteering in Indiana. Non-profit and Voluntary Sector
Quarterly, 35(4), 565–587.
Nelson, M. R., Brunel, F. F., Supphellen, M. & Manchanda, R. V. (2006). Effects of Culture,
Gender, and Moral Obligations on Responses to Charity Advertising Across Masculine and
Feminine Cultures. Journal of Consumer Psychology: The Official Journal of the Society
for Consumer Psychology, 16(1), 45–56.
Rooney, P. M., Mesch, D. J., Chin, W. & Steinberg, K. S. (2005). The effects of race, gender, and
survey methodologies on giving in the US. Economics Letters, 86(2), 173–180.

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