When selecting a probability sample and randomizing participant selection, what is this sampling procedure called?

The correct term for the process of selecting a probability sample and randomizing participant selection is specifically associated with systematic sampling, which involves selecting participants in a methodical way after a random starting point. This approach ensures that every individual has an equal chance of being chosen and is often used in research to enhance the representativeness of the sample.

In systematic sampling, researchers might create a list of the population and then choose participants at regular intervals. This method is distinct from nonproportional and proportional stratified sampling, which focus on dividing the population into subgroups, or strata, to ensure representation based on specific characteristics, such as age or gender. However, systematic sampling is characterized by its structured selection process rather than stratification based on characteristics.

Matrix sampling does not relate to the procedure of randomizing participant selection directly but involves collecting data from a subset of items to get a broader understanding of a larger population.

Understanding the nuances of these sampling methods is critical for research design, particularly in ensuring that findings are valid and can be generalized to the larger population.