Elena is conducting a series of interviews with homeless women. Since the population of interest may be difficult to reach, she would like to identify the first participant, interview them, and then ask for recommendations on whom to interview next. This is an example of _______________ sampling.
A) stratified
B) simple random
C) snowball
D) cluster

Question

Quizplus · Accepted Answer

Snowball sampling is a non-probability sampling technique that is often used when the population of interest is difficult to reach. In this technique, the researcher starts by identifying one or a few participants who meet the criteria for inclusion in the study, and then asks them to recommend others who might also be eligible. This approach can be effective for reaching hidden or marginalized populations, but it is important to recognize that snowball samples are not representative of the population as a whole, and may be subject to biases based on the personal networks of the initial participants. Choice A (stratified sampling) involves dividing a population into subgroups based on specific characteristics (e.g., age, gender, income) and then randomly selecting participants from each subgroup. Choice B (simple random sampling) involves selecting participants from the population at random, without any stratification or other specific criteria. Choice D (cluster sampling) involves selecting groups or "clusters" of participants from the population, rather than selecting individuals. Cluster sampling can be useful when the population is geographically dispersed or organized into specific groups (e.g., schools, neighborhoods), but it is not appropriate for all research questions or settings.

Elena Is Conducting a Series of Interviews with Homeless Women