Why are sampling methods important in research?
Sampling methods are crucial because they determine how well the sample represents the population, affecting the validity of results.
Can you explain different types of sampling methods?
Sure! Common types include random sampling, stratified sampling, and cluster sampling, each serving different research needs.
How does sample size affect research outcomes?
Larger sample sizes generally lead to more reliable results, reducing the margin of error and increasing confidence in findings.
What are the consequences of poor sampling methods?
Poor sampling can lead to biased results, misinterpretation of data, and ultimately flawed conclusions in research.
Can you give an example of a study that used effective sampling?
Certainly! A national health survey often uses stratified sampling to ensure diverse representation across different demographics.
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