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Experimental Designs

Essay Instructions:
Experimental Designs Experimental Designs The Unit 9 Assignment involves identifying different sources of error/bias, how they can affect study results and the conclusions that can be drawn, and ways to work around them. Assignment Directions Using the Unit 9 Assignment Template, please respond to the following: Identify the source of error/bias in each scenario and the best way to work around it, and then respond to the associated question for each scenario. A common error that people make is interpreting causation from correlation. For example, when X and Y are correlated, people might assume that X causes Y, when there are actually three possibilities. Identify the three different ways that a correlation between X and Y could be interpreted. Define a confounding variable. What are the three different ways that a correlation between time spent outdoors and happiness could be interpreted? What is a possible confounding variable affecting the relationship between time spent outdoors and happiness? A researcher finds a correlation between smoking cigarettes and stress. What are three different ways that this could be interpreted? What is a possible confounding variable affecting the relationship between cigarettes and stress?
Essay Sample Content Preview:
Unit 9 Assignment Name: For the items below, use the drop down boxes to identify the source of error/bias and the best way to work around it. Be sure to also respond to the associated question for each scenario. Subject Reactivity is when participants show different behavior because they know they are being observed. The best way to work around this is to habituate participants and/or conceal the observer. In 1-2 sentences, why would this be a problem for the study data? When partakers alter their behavior because they know they are being seen, the data collected may not correctly mirror their natural conduct. This can lead in prejudiced data that does not provide a true picture of the behavior being studied. As a result, the conclusions drawn from the study may be invalid or misleading.When partakers alter their behavior because they know they are being seen, the data collected may not correctly mirror their natural conduct. This can lead in prejudiced data that does not provide a true picture of the behavior being studied. As a result, the conclusions drawn from the study may be invalid or misleading. Social Desirability Bias is when participants respond with what they think the researcher wants to hear, or what they think makes them look good, but not with the truth. The best way to work around this is to allow anonymous responses. In 1-2 sentences, why would this be a problem for the study data? If partakers reply with socially desirable answers instead of truthful ones, the data will not accurately mirror their exact feelings or deeds (Svensberg et al., 2021). This results in biased outcomes, rendering it hard to draw valid deductions from the study, as the responses would not represent the real opinions or behaviors of the participants.If partakers reply with socially desirable answers instead of truthful ones, the data will not accurately mirror their exact feelings or deeds (Svensberg et al., 2021). This results in biased outcomes, rendering it hard to draw valid deductions from the study, as the responses would not represent the real opinions or behaviors of the participants. Non-Response Bias is when a considerable number of people do not choose to take a survey and the people who take the survey differ in important ways from people who do not. Attrition is when, during the course of a study, participants drop out or withdraw from the study. The best way to work around each of these potential sources of error/bias is to provide incentives and make the study as easy/convenient to complete as possible. A researcher decides to recruit more participants to replace those who did not respond and/or those who dropped out from the study. In 1-2 sentences, why would this be a problem for the study data and not be advised? Swapping partakers in the middle of the study can lead to inconsistency that did not exist in the original group, as the different partakers might exhibit distinct traits compared to the original (Fuhrmeister, 2021). The study's results may not be as trustworthy or valid if this happens, since it could lead to more bias and affect the data consistency.Swapping partakers in the middle of the study can lead to inconsistency that did not exist in the original group, as the different partakers might exhibit distinct traits compared to the original (Fuhrmeister, 2021). The study's results may not be as trustworthy or valid if...
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