What are the different types of sampling bias?
Sampling bias occurs when certain members of a population are systematically more likely to be selected for a sample. The main types include:
Can you explain selection bias in more detail?
Certainly! Selection bias occurs when the individuals included in a sample are not representative of the larger population. This can happen due to various reasons, such as:
What are some examples of studies affected by sampling bias?
One classic example is the 1936 Literary Digest poll, which incorrectly predicted the outcome of the presidential election. They surveyed their subscribers, who were predominantly wealthy, leading to a biased sample that did not reflect the general population. Another example is health studies that only include participants from specific demographics, which can skew results and limit generalizability.
How can researchers avoid sampling bias?
Researchers can avoid sampling bias by:
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