A researcher discovers that 40% of the households in City X are single person households and that 60% are husband-wife households. The researcher sends interviewers into the field and tells them to conduct 80 interviews and that 40% of their interviews should be with households that are headed by a single person, and 60% should be with husband-wife households. Since this is all the researcher tells the interviewers, this research usesSelect one:a. quota sampling. b. cluster sampling. c. stratified sampling. d. simple random sampling. e. accidental sampling.

Quota sampling

Explanation:

Quota Sampling is a non-probability sampling method in which the population is divided in mutually exclusive subgroups and the items from each of the subgroups are selected based on a proportion.

In this example the households were divided into two subgroups: single-person households and husband-wife households (it is clear that this subgroups are mutually exclusive). Then, since 40% of all households are single-person and 60% are husband-wife, the researcher ask interviewers to collect information based on this proportion, therefore, 40% of the interviews will be done with single-person households and 60% with husband-wife households. Thus, these interviews are done based on a proportion.

We can see that the example meets all the requirements for quota sampling and thus, it's an example of this type of sampling.