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1.31 In an experiment to assess the effect of wearing compression socks during a marathon, 20 runners in the 2013 Hartford Marathon were randomly assigned to two groups ("Compression and Clots in Athletes Who Travel," Lower Extremities Review, lermagazine.com/ler-archives/january -2016, retrieved July 2, 2017). Runners in one group wore a pair of compression socks during the marathon, while runners in the second group wore regular athletic socks. At the end of the marathon, blood samples were taken to measure variables related to preventing blood clots and speeding up recovery from exercise. a. Describe why it was important for the researchers to assign participants to one of the two groups rather than letting the participants choose which group they wanted to be in. b. The authors of the paper state that there is some evidence that suggests that wearing compression socks may result in a psychological advantage that might translate into performance gains. Suppose that instead of a response variable that was determined by a blood test, the response variable had been the time it took the runner to complete the marathon. Do you think it would be a good idea to have the runners be blind to the type of socks that they were given? Explain why or why not.

Short Answer

Expert verified
In summary, random assignment is essential in experimental designs to eliminate potential confounding variables and ensure a fair comparison between the groups. Keeping runners blind to the type of socks they are wearing, especially if the response variable is the marathon completion time, eliminates any potential psychological advantages or biases and provides a more accurate understanding of the true effect of the socks on performance.

Step by step solution

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a. Importance of random assignment

Assigning participants to the groups randomly is important in experimental designs to create two groups that are as similar as possible, eliminating potential confounding variables and allowing for a fair comparison between the groups. This ensures that any differences observed between the groups can be attributed to the treatment being tested (in this case, wearing compression socks) and not to other factors. When participants self-select or when they are not randomly assigned, there is a higher chance of selection bias, where the two groups might be inherently different, which could affect the validity of the conclusions drawn from the experiment.
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b. Runners being blind to the type of socks

If the response variable was the time it took the runner to complete the marathon, it would be a good idea to keep the runners blind to the type of socks they are wearing because it would eliminate any potential psychological advantage that might influence their performance. If the runners knew which type of socks they are wearing, their performance may be affected by their beliefs about the benefits of compression socks, which can ultimately lead to bias in the results. By making the runners blind to the type of socks, the experiment would provide a more accurate understanding of the true effect of the socks on the marathon completion time.

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Random Assignment
When conducting research in the field of statistics, the use of random assignment is a critical step in experimental design. This process involves randomly allocating participants into different groups to ensure that each participant has an equal chance of being placed in any given condition. By doing so, researchers minimize the risk of confounding variables, which are external influences that could skew the study’s results. In the study regarding compression socks during a marathon, random assignment prevents the possibility of participants with a prior preference for compression socks, perhaps due to past experiences, from all ending up in one group. This randomization helps simulate a natural distribution of various participant characteristics across both the compression sock and regular athletic sock groups. Therefore, it allows for a fair and unbiased comparison, assuming the only difference between the groups is the treatment—compression socks in this case.
Control Groups
A control group in an experiment serves as a baseline to compare against the experimental or treatment group. It is essential to have a control group to understand the effect of the variable being tested. In our experiment concerning marathon runners, the control group is the one wearing regular athletic socks. These runners provide a comparison for evaluating the impact of wearing compression socks. Without this group, there would be no way to determine if compression socks truly have an effect, or if any observed changes were due to other external factors like weather, training level, or individual health conditions.
Blinding in Experiments
In a well-designed experiment, blinding is used to eliminate bias. The concept involves keeping participants, and sometimes the researchers, unaware of which group they are in with respect to receiving the treatment or control condition. If we consider the proposed scenario where the marathon time was the response variable, blinding the runners to their sock type is beneficial. This approach removes any psychological effect, such as a placebo or performance anxiety, that knowledge of their group assignment might induce. For the experiment with compression socks, not knowing which type of sock they are wearing helps ensure that any observed differences in performance are likely due to the physical benefits of the socks, rather than runners' psychological state.
Confounding Variables
In experimental research, confounding variables can greatly interfere with the interpretation of results. These are variables that the researcher failed to control or eliminate, which can lead to a false association between the treatment and the observed effect. Suppose a prominent runner known for record-setting times swears by compression socks, influencing other participants who may believe in their efficacy. This scenario shows a potential confounder: the runners' beliefs about compression socks. By randomly assigning runners to either compression or regular socks and ensuring they are blind to their sock type, the study reduces the impact of this confounding variable, thereby providing clearer insight into the true effects of compression socks on performance and recovery.

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Most popular questions from this chapter

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