A researcher samples the population of registered voters in a city by selecting every 100th person on the list of registered voters. Which sampling plan is described?
Systematic sampling is described by selecting every 100th person from the population.
This method involves choosing participants based on a fixed interval from a list or sequence, which ensures an organized and structured approach to sampling. In this case, sampling every 100th voter exemplifies systematic sampling clearly.
Judgment sampling involves selecting participants based on the researcher's discretion or expertise, rather than a pre-defined systematic approach. This method is subjective and does not follow a regular interval, making it unsuitable for the scenario where a specific interval (every 100th person) is employed.
Quota sampling requires the researcher to ensure equal representation of particular characteristics within the sample. This technique does not depend on a fixed selection interval and is based on fulfilling quotas for different subgroups, making it distinct from the systematic method described in the question.
Convenience sampling involves selecting individuals who are easily accessible or readily available, rather than following a structured interval. This method lacks the systematic approach seen in the scenario, as it does not rely on a predefined selection process like choosing every 100th person.
The sampling plan in question is systematic sampling, characterized by selecting participants at regular intervals from a population list. This method promotes consistency and randomness in sampling, distinguishing it from judgment, quota, and convenience sampling, which rely on subjective criteria or accessibility rather than a structured interval system.
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