A problem with nonrandom sampling is that:
A)larger samples need to be taken to reduce the sampling error inherent in this approach.
B)not every item in the population has the same chance of being selected, as it should.
C)it is usually more expensive than random sampling.
D)it generally provides lower response rates than random sampling.

Question

Quizplus · Accepted Answer

With nonrandom sampling, not every item in the population has the same chance of being selected, which can introduce bias into the sample and limit generalizability to the population as a whole.

A Problem with Nonrandom Sampling Is That