BSU Hypothesis Testing Process Compasion Effect Paper

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Mathematics

Boise State University

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My partner and I have been working on our experiment. It is about Compassion Fade Effect, and in our scenario, we are comparing if a person is more inclined to donate to a large corporation, we are using St. Jude Children's Hospital, compared to a homeless child living on the streets. a) Work through steps 1-4 of the hypothesis testing process for your own experiment 1. According to the compassion fade effect, we hypothesize that compassion and empathy for those in need will decrease as the number of those in need increases. 2. State/describe the independent/predictor variable (1pt) and if it is scale, ordinal or nominal (1pt). The description of the variable needs to include how you are manipulating or measuring it. Please use enough detail for me to ascertain if you have selected the correct measurement type. 3. State the dependent/outcome variable (1pt) and if it is scale, ordinal or nominal (1pt). The description of the variable needs to include how you are manipulating or measuring it. Please use enough detail for me to ascertain if you have selected the correct measurement type. The description of the variable needs to include how you are manipulating or measuring it. Please use enough detail for me to ascertain if you have selected the correct measurement type. 4. Choose and state the correct statistical test (1pt) b) For questions 2 and 3, also indicate which univariate test you should use to come up with descriptive statistics for the variable. Compassion Fade Effect 1. According to the compassion fade effect, we hypothesize that compassion and empathy for those in need will decrease as the number of those in need increases. 2. The independent variable of our hypothesis is the amount of children in need of donations for health reasons. This is considered the independent variable because we hypothesize that the amount of donations received will depend upon the amount of children in need. By manipulating this variable it will therefore influence the outcome of how many donations are received. We plan on manipulating this variable by creating two conditions, an option for donating to one singular child in need of donations, and an option for donating to an entire organization that helps a large amount of children in need. The first option we will use an example of a specific child in need of donations for hospital care, and for the second donation option we will use St. Jude Research Hospital. 3. One thing that may be a confound for this variable specifically could be the trust level each participant may have for the specific donation options. St. Jude Research Hospital is very well known and highly esteemed, and participants may choose this option because they can trust where the money will go. They may not be able to trust exactly where the money is going to go for an individual asking for donations. A good way to address this and prevent it from affecting the outcome of our experiment would be to include sources for each donation option, and create a way for each option to be equally trustworthy. Possibly include information to prove the child in need is a trustworth cause to donate to.
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Running head: Steps 1-4 of the hypothesis testing process

Steps 1-4 of the hypothesis testing process
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1

Running head: Steps 1-4 of the hypothesis testing process

2

1. According to the compassion fade effect, we hypothesize that compassion and empathy decrease
as the number of those in need increases
2. State/describe the independent/predictor variable (1pt) and if it is scale, ordinal or nominal
(1pt). The description of the variable needs to include how you are manipulating or
measuring it. Please ...


Anonymous
I was having a hard time with this subject, and this was a great help.

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