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Matching Intervention and Control Groups

Essay Instructions:

Why can’t you compare apples to oranges? Why would it be important to match your intervention and control groups on certain characteristics in a research study to help with interpretation of the results? Give your post a hashtag in the body (e.g., #applestoranges).

Which outside resource (image, video, article) shows the danger of mismatched research methodology and data interpretation? Share the link within your post. What effect might this dissonance have on the impact of the research and its subject?

What about this week’s content is relevant to your own professional or academic career?

Essay Sample Content Preview:

7864 Week 5 Discussion
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#ResearchMethodology
The comparison of oranges and apples is a metaphor illustrating the incompatibility of two distinct variables. When conducting research, it is vital to align intervention and control groups on various features to enhance the validity and meaningfulness of results. Considering that comparing oranges to apples would result in unreliable results, mismatched methodology and interpretation can lead to severe consequences. The matching of intervention and control groups is fundamental in reducing confounding variables and enhances the attribution of any observed variances in the groups to the intervention itself. The variances in baseline features can lead to biased findings and hinder the intervention's real impacts if there is no proper matching (Sethuraman et al., 2020).
The article "Interpreting diagnostic tests for SARS-COV-2" clearly illustrates the dangers of mismatched research methodology...
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