How can I reduce sample bias in my research?
To reduce sample bias, you can use random sampling, stratified sampling, or ensure diverse participant selection.
What is random sampling and how does it help?
Random sampling involves selecting participants randomly from the population, which helps ensure that every individual has an equal chance of being chosen, reducing bias.
Can you explain stratified sampling?
Stratified sampling divides the population into subgroups and samples from each subgroup, ensuring representation across key characteristics.
What are some common sources of sample bias?
Common sources include non-response bias, selection bias, and volunteer bias, which can skew your results.
How do I identify if my sample is biased?
You can compare your sample characteristics to the overall population and look for discrepancies in key demographics.
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