A researcher has a list of all the students in a school district. The researcher obtains a sample by selecting every 20th student on the list. Which sampling plan is described?

Judgment sampling involves selecting individuals based on the researcher’s discretion or expertise rather than a random or systematic method. This approach relies on subjective judgment to determine which individuals are included, leading to potential bias. In this scenario, there is a clear method of selection (every 20th student) rather than personal judgment influencing the sample.

Simple random sampling requires that every individual in the population has an equal chance of being selected, typically achieved through random methods such as lottery or random number generation. The method described does not ensure that every student has an equal chance, as only specific individuals (every 20th) are selected, thus disqualifying it as a simple random sample.

Quota sampling is a non-probability sampling technique where the researcher ensures equal representation across various subgroups of the population. It involves setting quotas for different categories but does not involve a systematic selection process. The sampling plan in the scenario does not limit selection to specific categories or quotas, focusing instead on a fixed interval.