How do ethics affect your chosen level of significance?

I am not sure if I understand what the instructor is wanting can some look at my answer and see if I am close and if I am missing something

Answer:
The level of significance to my understanding is Whenever research is done there is always a chance, a particular outcome will occur that would bring up an false statement that is untrue this happen quite a bit with human research. Through chance the outcomes that is observed makes the researcher unsure of result. This reasonable doubt can be brought about a person moral or ethics.In the finding. My moral value is to find the truth so I would say that I wanted to be 100% sure I have the correct understanding of the result and not a false rating.

Am I understanding this question correct or can some please explain what the instructor might be wanting

In terms of statistics, you can never be 100% sure. I prefer using the .01 level vs. the .05 level, to be a little more certain of my conclusions. Replication can reduce the error even more.

Another thing you might want to consider is practical significance. Even though group differences might be statistically significant, the differences would not help you make many decisions. For example, one study found a significant difference in height between various levels of business management. However, if I remember correctly, the differences between various levels was about 1/4 inch! This doesn't allow serious decision making in terms of hiring for management positions.

I hope this helps. Thanks for asking.

Based on your answer, it seems like you do have a general understanding of the concept of level of significance and how it may be influenced by ethics. However, there are a few areas where you can further refine your explanation.

First, the level of significance refers to the threshold at which a researcher deems a result to be statistically significant. It is a way to determine if the observed results are likely to have occurred by chance or if they are actually meaningful.

Ethics can affect the level of significance in different ways. One aspect to consider is the choice of significance level itself. Researchers need to decide how confident they want to be in their findings. Choosing a lower significance level, such as 0.01, means that the researcher requires stronger evidence to reject the null hypothesis. On the other hand, choosing a higher significance level, such as 0.10, means that the researcher is willing to accept weaker evidence. Ethics may come into play when deciding how cautious or conservative the researcher wants to be in confirming their findings. Some may argue that a lower significance level is better to avoid making false claims or misleading conclusions.

Another way ethics can impact the level of significance is through the reporting and interpretation of results. Researchers have a responsibility to accurately communicate their findings, ensuring that they are not misrepresenting or exaggerating the significance of their results. If a researcher has a personal bias or a vested interest in the outcome, this might influence their interpretation of the significance level. Ethical considerations would push researchers to report results objectively, acknowledging the limitations and uncertainties associated with their findings.

To summarize, when considering the impact of ethics on the level of significance, it is important to think about the choice of significance level and the reporting and interpretation of results. The ethics of a researcher may influence their inclination to be more conservative in their conclusions and to accurately communicate the significance of their findings.