What is selection bias and how does it affect research?
An example of an AI chatbot conversation about understanding selection bias in research.
What is selection bias and how does it affect research?
Selection bias occurs when the sample chosen for a study is not representative of the population intended to be analyzed. This can lead to skewed results and invalid conclusions.
Can you give me an example of selection bias in a study?
Sure! For instance, if a health study only includes participants from a gym, it may not accurately reflect the health of the general population, leading to biased results.
How can researchers avoid selection bias?
Researchers can avoid selection bias by using random sampling methods, ensuring diverse participant recruitment, and being transparent about their selection criteria.
What are the consequences of ignoring selection bias?
Ignoring selection bias can result in misleading findings, poor decision-making, and a lack of generalizability in research outcomes.
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