What distinguishes stratified sampling from oversampling?
a. Stratified sampling is when a researcher intentionally over-recruits members of underrepresented groups whereas oversampling is a non-probability sample.
b. Stratified sampling does not aim for a generalizable sample while oversampling does.
c. Oversampling does not aim for a generalizable sample while stratified sampling does.
d. Stratified sampling divides the population into homogeneous groups along some dimension whereas oversampling is when a researcher intentionally over-recruit underrepresented groups.
Answer: d. Stratified sampling divides the population into homogeneous groups along some dimension whereas oversampling is when a researcher intentionally over-recruit underrepresented groups.
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a. True b. False
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What will be an ideal response?
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