Jason is conducting research on a population with extreme income and education discrepancies. He hopes to achieve a random, but generalizable sample so that he is able to make inferences about the entire SES spectrum. Which of the following is the best option?
A) Utilize a random sampling strategy because this will ensure that he captures the full range.
B) Utilize a stratified random sampling strategy because this will ensure that he captures the full range.
C) Utilize a non-probability sampling strategy to try to randomly obtain the participants of interest.
D) Utilize a convenience sampling strategy because inferences made along the SES spectrum do not require the full range of SES values.

Question

Quizplus · Accepted Answer

Utilizing a stratified random sampling strategy will ensure that Jason captures participants from all levels of the SES spectrum, including extreme income and education levels. This method involves dividing the population into strata based on their SES characteristics and then randomly selecting participants from each stratum. This approach would provide a more representative sample and increase the generalizability of Jason's findings. Utilizing a random or convenience sampling strategy may not provide enough diversity in the sample, and a non-probability sampling strategy would not be random, therefore reducing the generalizability of the findings.

Jason Is Conducting Research on a Population with Extreme Income