What are the effects of sampling bias in research?
Sampling bias occurs when the sample selected for a study does not accurately represent the population. This can lead to skewed results.
Can you give me an example of sampling bias?
Sure! If a survey about health habits only includes responses from gym members, it may not reflect the habits of the general population.
How can researchers avoid sampling bias?
Researchers can use random sampling methods, ensure diverse participant selection, and stratify samples to represent different groups.
What are the consequences of ignoring sampling bias?
Ignoring sampling bias can lead to incorrect conclusions, poor decision-making, and a lack of generalizability in research findings.
Is sampling bias common in studies?
Yes, sampling bias is quite common, especially in studies with limited resources or those that rely on convenience sampling.
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