Purposive sampling information rich – UGC NET Question

Purposive sampling involves the deliberate selection of participants or cases that are especially knowledgeable or experienced regarding the phenomenon of interest. It is widely used in qualitative research where depth and insight are more important than representativeness. The researcher uses judgment to choose cases that can provide rich and relevant information. Thus, selecting information-rich cases matches the definition of purposive sampling.

Option A:
Simple random sampling gives each member of the population an equal probability of selection, with no emphasis on special knowledge or richness of information. It is aimed at representativeness rather than particular insight.

Option B:
Systematic sampling selects every kth element from an ordered list following a random start and does not focus on individuals’ information richness. Its purpose is efficient probability sampling, not purposive selection.

Option C:
Cluster sampling chooses intact groups such as schools or villages as primary units, often for logistical reasons. It can be random but does not inherently involve selecting units because they are especially informative about the phenomenon.

Option D:
Purposive sampling allows the researcher to focus on extreme cases, typical cases or key informants who can illuminate central issues deeply, matching the emphasis on information-rich cases in the stem and making this option correct.