How can I reduce sampling bias in my research?
To reduce sampling bias, you can use random sampling techniques, ensure diverse participant selection, and stratify your sample.
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 included.
Can you explain stratified sampling?
Stratified sampling divides the population into subgroups and samples from each subgroup, ensuring representation across key characteristics.
Are there any tools or software that can help with this?
Yes, tools like R, Python libraries, and survey platforms often have features to assist with random and stratified sampling.
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