How does the researcher choose his sample type? In other words, does he use cluster, intentional, stratified, or random sampling?
The ideal sample size essentially depends on whether or not the researcher knows the size of the universe or population.
If the size of the universe is known, random sampling, also known as probability sampling must be adopted. Random sampling has many methods such as simple random sampling, systematic random sampling, stratified random sampling, and cluster sampling.
However, if the researcher is not aware of the size of the universe, non-probability sampling such as convenience sampling, snowball sampling, and judgemental sampling can be adopted.
Ammar Kuti Nasser the choice depends on the study goals, available resources and fairness.
For example, if you have a large sum of data- for which you don't know the origin, you may go with cluster.
Incase of, something similar type of data you can do stratified or random.
And where nothing is in your favor, you go intentional.
Tried to give you a simplified answer, please gather more info before you start working on it. Hope it helps. Thank you.
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