Question at position 30 As a political psychologist, Dr. Carr is investigating voting behaviors in rural areas. They create a list of all registered voters and select every 15th person on the list to participate in the study. This method is an example of:Simple random samplingSystematic samplingCluster samplingStratified sampling

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BlackTom AI · Accepted Answer

The scenario describes selecting every 15th person from a list of all registered voters after possibly starting at a random point, which is a hallmark of systematic sampling.
Option 1: Simple random sampling would involve giving each individual an equal chance to be selected, typically using random numbers or a random selection process without any fixed interval; the described method uses a fixed interval (every 15th), so it is not pure simple random sampling.
Option 2: Systematic sampling involves choosing a starting point at random and then selecting every k-th member of the population list; here, the researchers pick every 15th person, fitting this pattern precisely.
Option 3: Cluster sampling would require dividing the population into clusters (e.g., by geographic area) and then sampling entire clusters or a sample within clusters, which is not what is described in the scenario.
Option 4: Stratified sampling would involve dividing the population into strata (e.g., by age, region) and sampling from each stratum, ensuring representation across subgroups; the scenario does not mention dividing the list into strata or ensuring proportional representation.

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