Share and Share Alike

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PAIRED-SAMPLES t TEST: SHARE AND SHARE ALIKE
Share and Share Alike
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You must read each slide, and complete any questions on the slide, in sequence.

Welcome

Share and Share Alike

Authors:

Kelly M. Goedert, Seton Hall University

Susan A. Nolan, Seton Hall University

Kaylise D. Algrim, Seton Hall University

An old adage says that it’s better to give than to receive. But is that really true? A series of studies explored how much people enjoy receiving rewards and how much they enjoy giving them away (Aknin, Broesch, Hamlin, & Van de Vondervoort, 2015). Many studies have looked at the effects of generosity on happiness, but most were conducted in industrialized countries, primarily in North America. In contrast, Lara Aknin and her team of Canadian researchers have explored prosocial behaviors in Uganda, India, and South Africa to see if previous generosity research reflects something universal about human behavior. In one study, conducted in rural villages in the South Pacific island nation of Vanuatu, these researchers studied sharing behavior in children.

The chief and group of children before tribal ceremony, Vanuatu
imamember/iStock Unreleased/Getty Images
Imagine that you had the choice of receiving something or giving something away. Which do you think would make you happier?

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Before we dig into the details of this study, let’s look at this particular sample. The researchers reported that 20 “children from the same small-scale, rural villages on Tanna Island in Vanuatu (14 boys, [M] = approximately 2 years and 1 month, age range 2 years 4 months–4 years 8 months) participated in this experiment. A sample size of 20 children was determined in advance, as consistent with previous research utilizing the same paradigm (Aknin et al., 2012), to provide enough statistical power to detect a medium to large effect” (Aknin et al., 2015, p. 791).

Which of the following statements best describes why the researchers decided to recruit 20 children to take part in this study?
Correct! The researchers knew from previous research that 20 children would provide sufficient statistical power to detect a medium to large effect, if indeed such an effect existed.
Actually, the researchers knew from previous research that 20 children would provide sufficient statistical power to detect a medium to large effect, if indeed such an effect existed.

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In the experiment in Vanuatu, children between the ages of 2 and 5 were introduced to a puppet named Monkey (Aknin et al., 2015). In the first phase, experimenters showed the children that the puppet enjoyed eating candy. The experimenter placed candy in a bowl with a false bottom. When the experimenter mimed the puppet eating by putting the puppet’s face in the bowl (while saying “Yum yum yum!”), the candies would fall through the false bottom. And, voilà: Monkey seemed to eat the candies!

Later, the children experienced two situations. In one situation, they were given candies by the experimenter. In a second situation, they were asked to give one of their own candies to Monkey. Experimenters recorded the children on video and later rated how happy they appeared in each condition on a scale of 1 (extremely unhappy) to 7 (extremely happy).

Based on that description, which of the following describes the research design?
Correct! Because all children are assessed in both conditions, this is a within-group design.
Actually, because all children are assessed in both conditions, this is a within-group design.

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The researchers reported that “children displayed significantly more happiness when … giving … their own candy to Monkey (M = 5.24, SE = .18)—than when they received candies themselves (M = 4.53, SE = .23), t(16) = 3.747, p = .005, d = .83” (p. 792).

What kind of statistical analysis did the researchers use?
Correct! The researchers used a paired-samples t test: There was a nominal independent variable with two levels (receiving, giving), a scale dependent variable (happiness rating), and a within-group design.
Actually, the researchers used a paired-samples t test: There was a nominal independent variable with two levels (receiving, giving), a scale dependent variable (happiness rating), and a within-group design.

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As we just saw, the researchers conducted a paired-samples t test to compare the ratings of children’s happiness when giving their own candies to Monkey versus receiving candies for themselves. Here are the results again: “Children displayed significantly more happiness when … giving … their own candy to Monkey (M = 5.24, SE = .18)—than when they received candies themselves (M = 4.53, SE = .23), t(16) = 3.747, p = .005, d = .83” (p. 792).

How would you interpret these results?
Correct! The mean results for giving candies away were greater than the mean results for receiving candies, and the p value was less than the customary alpha level of .05.
Actually, the mean results for giving candies away were greater than the mean results for receiving, and the p value was less than the customary alpha level of 0.05.

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As we noted previously, the researchers reported that “children displayed significantly more happiness when … giving … their own candy to Monkey (M = 5.24, SE = .18)—than when they received candies themselves (M = 4.53, SE = .23), t(16) = 3.747, p = .005, d = .83” (p. 792).

According to Cohen’s guidelines, how large is the effect size for this study?
Correct! Cohen’s d is 0.83, which is a large effect.
Actually, Cohen’s d is 0.83, which is a large effect.

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As noted previously, the researchers reported that “children displayed significantly more happiness when … giving … their own candy to Monkey (M = 5.24, SE = .18)—than when they received candies themselves (M = 4.53, SE = .23), t(16) = 3.747, p = .005, d = .83” (p. 792).

The results show there is a Cohen’s d of 0.83, a large effect size. What information does this finding add to the result?
Correct! A statistically significant result is not necessarily a large—or potentially meaningful—one. Effect size provides this additional information.
Actually, a statistically significant result is not necessarily a large—or potentially meaningful—one. Effect size provides this additional information.

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Bar graph showing happiness ratings for two conditions, receiving and giving. Please move to the “Description” link for the full explanation.
The bar graph shows happiness ratings for two conditions, receiving and giving. There are two vertical bars rising from the horizontal x-axis, one for receiving and one for giving. The vertical y-axis is labeled “Happiness ratings” and the tick marks range from 3.0 at the bottom to 5.5 at the top, at intervals of 0.5. The happiness rating is about 4.5 in the receiving condition and 5.1 in the giving condition.
This graph depicts the results of the Vanuatu study (Aknin et al., 2015). What is most problematic about this graph?
Correct! When possible, the y-axis should start at 0 and extend to the highest possible score on the dependent variable, 7. The graph in this research report exaggerates this finding by including a range only from 3 to 5.5.
Actually, when possible, the y-axis should start at 0 and extend to the highest possible score on the dependent variable, 7. The graph in this research report exaggerates this finding by including a range only from 3 to 5.5.

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Bar graph showing happiness ratings for two conditions, receiving and giving. Please move to the “Description” link for the full explanation.
The bar graph shows happiness ratings for two conditions and looks nearly the same as the bar graph from the previous screen. There are two vertical bars rising from the horizontal x-axis, one for receiving and one for giving. The vertical y-axis is labeled “Happiness ratings” and the tick marks range from 0 at the bottom to 7 at the top, in intervals of 1; this range on the y-axis is the main difference between the bar graph from the previous screen and this bar graph. The happiness rating is about 4.5 in the receiving condition and 5.1 in the giving condition.
The graph here shows the same data as the graph on the previous screen, although we have adjusted the y-axis to reflect the full range of the data. What can we learn from this graph, in combination with the fact that this was a statistically significant difference?
Correct! The bar for giving is higher than the one for receiving, and we know that this difference is statistically significant. So, children are happier, on average, when giving than when receiving.
Actually, the bar for giving is higher than the one for receiving, and we know that this difference is statistically significant. So, children are happier, on average, when giving than when receiving.

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The results described on the previous screens were found for the sample in Vanuatu, a small island nation in the South Pacific, which has no electricity and where residents engage in subsistence farming. The village is removed from the influence of much Western, industrialized culture. Studies in South Africa, India, and Uganda showed similar results, as well as previous studies in industrialized North American environments. What does this combined evidence suggest?
Correct! While we don’t have absolute evidence about why children enjoy sharing, the results from these cross-cultural studies provide some support for the idea that sharing is an innate part of human behavior. This is a great example of why replicating research is important.
Actually, while we don’t have absolute evidence about why children enjoy sharing, the results from these cross-cultural studies provide some support for the idea that sharing is an innate part of human behavior. This is a great example of why replicating research is important.

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The researchers reported that when interpreting the results, it’s important to pay attention to cultural differences in how children understand puppets. “Although we opted to use a puppet to [have a similar research design to] previous research performed in North America (e.g., Aknin et al., 2012) in which most children are very familiar with inanimate toys and willing to treat puppets as interaction partners (Rakoczy & Tomasello, 2006), puppets do not exist in rural Tanna. Therefore, it is possible that children’s reactions were influenced by this novel experience” (Aknin et al., 2015, p. 793).

Which of the following suggests why this limitation might be an important one when interpreting the results?
Correct! The difference between sharing with a person and sharing with a puppet (Monkey) may affect the study, particularly because the children in the study were not likely to have interacted with puppets previously.
Actually, the difference between sharing with a person and sharing with a puppet (Monkey) may affect the outcomes of the study, particularly because the children in the study were not likely to have interacted with puppets previously.

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The bottom line: When it comes to sharing, it really does seem to be better to give than to receive—whether or not you’re from Vanuatu.

Child of Tanna island in Vanuatu - Massage love.
Veronique DURRUTY/Gamma-Rapho via Getty Images

REFERENCES

Aknin, L. B., Broesch, T., Hamlin, J. K., & Van de Vondervoort, J. W. (2015). Prosocial behavior leads to happiness in a small-scale rural society. Journal of Experimental Psychology: General, 144, 788–795. https://doi.org/10.1037/xge0000082