under what conditions would you recommend the following probability sample non–probability sample
What following?
I don't know that's the whole question?
You're missing some punctuation.
http://en.wikipedia.org/wiki/Sampling_(statistics)#Probability_and_nonprobability_sampling
When making recommendations between probability samples and non-probability samples, it is important to consider the research objectives, resources, limitations, and the level of precision required for the study. Here are some guiding conditions for each type:
Probability Sample:
1. Representative results: If the goal is to obtain a sample that accurately reflects the target population, a probability sample is recommended. This ensures that each member of the population has an equal chance of being selected, minimizing bias.
2. Statistical inference: If the study aims to make generalizations about the larger population based on the sample findings, a probability sample is appropriate. Probability sampling allows for the use of statistical techniques to estimate population parameters and measure the level of confidence in the results.
3. Resource availability: Probability sampling can be more resource-intensive than non-probability sampling. If time, cost, and resources are sufficient to employ proper sampling methods, probability sampling is advisable.
Non-probability Sample:
1. Exploratory research: If the study is exploratory and aims to generate ideas, gain insights, or explore new phenomena, non-probability sampling may be suitable. Non-probability samples allow for convenience and purposive sampling techniques, which help in-depth understanding of specific subgroups or rare phenomena.
2. Limited resources: If the research team is constrained by time, budget, or logistical considerations, non-probability sampling methods can provide quick and cost-effective solutions.
3. Specific characteristics: Non-probability sampling can be useful when researchers want to focus on particular subgroups or specific characteristics within the population. In such cases, researchers can use techniques like snowball sampling, quota sampling, or purposive sampling.
It is important to note that both probability and non-probability sampling methods have their strengths and weaknesses. Researchers should carefully evaluate these conditions and choose the sampling technique that aligns best with their research objectives and constraints.