When executed properly, systematic random sampling creates a sample of objects or prospective respondents that is very similar in quality to a sample drawn using simple random sampling.

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Systematic random sampling is a type of probability sampling method that involves selecting every kth element from a population list, where k is a fixed interval calculated by dividing the population size by the desired sample size. This method ensures that every element in the population has an equal chance of being selected for the sample. Therefore, when executed properly, systematic random sampling can produce a sample that is representative of the population and similar in quality to a sample drawn using simple random sampling.

When Executed Properly, Systematic Random Sampling Creates a Sample of Objects