How to choose the right sampling design?

Choosing the right sampling design is crucial for obtaining an accurate representation of a population. The first step is to define the population being studied and determine the sampling frame. The next step is to choose a sampling method based on the research question and the characteristics of the population. Probability sampling methods such as simple random sampling, stratified sampling, and cluster sampling ensure that each member of the population has an equal chance of being selected. Non-probability sampling methods such as convenience sampling and purposive sampling may be used when the population is difficult to access or when the researcher requires a specific sample. The final step is to determine the sample size, which is based on the level of precision and confidence desired.

This mind map was published on 17 May 2023 and has been viewed 54 times.