Situations for Nonprobability Sampling – UGC NET Question

Nonprobability sampling is often used when it is difficult or impossible to identify every element of the population or when the focus is on information rich cases rather than representativeness. For specialized topics, the researcher may deliberately select experts or key informants with deep knowledge.

Option A:
This option suggests that nonprobability sampling is used when a full frame and easy random selection are available, which is the opposite of recommended practice; in such circumstances, probability sampling is usually preferred.

Option B:
This option is correct because it points to situations with ill-defined populations and the need for expertise. Selecting knowledgeable individuals purposively is then more practical than attempting random sampling.

Option C:
Option C describes a goal of estimating population parameters with known sampling error, which is best served by probability sampling methods, not nonprobability ones.

Option D:
Option D refers to legal requirements for random procedures—again a context where probability sampling, not nonprobability sampling, is appropriate.