In a community survey, all households in a village are listed serially. Every 10th household is selected starting from a random number between 1 and 10. This sampling method is called:

• A Stratified random sampling
• B Cluster sampling
• C Systematic random sampling ✓
• D Multi-stage sampling

Explanation

Systematic random sampling selects every kth unit from a numbered sampling frame, where k = population size/sample size, and the first unit is randomly chosen from 1 to k. Here k = 10, so every 10th household is selected. Its advantage is simplicity; its limitation is periodicity bias if a hidden pattern in the list coincides with the sampling interval. Stratified sampling divides the population into strata before sampling. Cluster sampling selects whole groups (clusters). Multi-stage sampling combines methods across levels of organisation.

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

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