To estimate immunisation coverage in a large state, a researcher first randomly selects 10 districts, then from each selected district randomly selects 5 blocks, then from each block randomly selects 3 villages, and finally surveys all eligible children in the chosen villages. This design is called:

• A Multistage random sampling ✓
• B Stratified random sampling
• C Systematic random sampling
• D Simple random sampling

Explanation

Multistage sampling involves successive random sampling at multiple hierarchical levels, here district, then block, then village, with complete enumeration at the final stage. Stratified sampling requires dividing the entire population into strata and sampling from every stratum, which did not happen because most districts were never sampled. Systematic sampling uses a fixed interval from a list, and simple random sampling selects units directly from one frame without intermediate stages.

Reference: Park's Textbook of Preventive and Social Medicine, 27th ed.

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