Snowball sampling is more likely to lead to a representative sample than stratified random sampling.

Question

Quizplus · Accepted Answer

Stratified random sampling involves dividing the population into homogeneous subgroups and randomly selecting samples from each subgroup, ensuring that the sample represents the entire population. Snowball sampling, on the other hand, involves recruiting participants through referrals from other participants. While snowball sampling can be useful in hard-to-reach populations, it can lead to bias as it relies on the initial selection of participants and may not capture a representative sample. Therefore, stratified random sampling is more likely to lead to a representative sample.

Snowball Sampling Is More Likely to Lead to a Representative