Final answer:
The term 'random purposeful sampling strategy' is not officially recognized. It may suggest a mixed approach combining random sampling (aimed at representativeness) and purposeful sampling (following specific criteria).
Step-by-step explanation:
The term 'random purposeful sampling strategy' does not have a recognized definition in statistical methodology. However, within the broader context of sampling strategies, random and purposeful could refer to combining elements of both random sampling and purposeful (or purposive) selection when designing a study. Normally, random sampling methods, which include techniques such as simple random sampling, stratified sampling, cluster sampling, and systematic sampling, are used to ensure that every individual within the target population has an equal chance of being included in the sample, therefore making the sample representative of the entire population. On the other hand, purposeful sampling refers to non-random methods where researchers select participants that meet certain criteria, based on the goals of their study. These non-random samples can sometimes be biased, as seen in convenience sampling, where the most readily available subjects are chosen, rather than a representative group.