Examples Of Ethical Concerns In Experimental Design

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Ethical Concerns

Experimental design is a field whereby ethical concerns are almost always a top priority. Although most individuals see ethical norms as common sense, they often vary from culture to culture and there can be discrepancies in the interpretation even by members within a certain cultural group. Furthermore, it is vital to determine any potential ethical concerns contained within an experiment and address those concerns in order to reduce their potential impact on the results. The first potential ethical concern that may be encountered during our experiment is an experimenter either intentionally or accidentally falsifying, fabricating or misrepresenting the data that is collected from the test subjects. This is a common problem
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We are trying to get our research participants into a certain mindset prior to asking questions and in doing so we may cause psychological stress or harm to the participants. We can avoid this ethical issue with informed consent. When participants agree to do the experiment, we will give them a brief rundown of what to expect and what the research is about and then ask for their consent. In asking for their consent after giving them a brief overview it reduces the ethical concern that we may be putting the participants into a situation that they are uncomfortable with. The participants would also be notified they are completely able to drop out at any point in time without any negative consequences. This continues to limit any negative psychological stress or harm that may be caused by the …show more content…
Every participant will have a value between 4 and 30. The total value a participant achieves is hypothesized to be the numerical value representing their emotion. Increasing total value to the maximum 30 means it represents being the most lavish. We want to compare the results from the different groups that we put together. The test we chose to use was the one-way ANOVA test. The one-way ANOVA test was chosen because it is used to measure the mean difference between the groups. For the one-way ANOVA test we have a null hypothesis that all groups would have an equal mean. After doing the one-way ANOVA test we expect that we reject the null hypothesis and that the group that received money under happy circumstances is the group that has the mean that is the most lavish and the group that received the money under negative circumstances is the most frugal or conservative

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