What is stratified sampling in research?

What is stratified sampling in research?

In stratified sampling, researchers divide subjects into subgroups called strata based on characteristics that they share (e.g., race, gender, educational attainment, etc). Once divided, each subgroup is randomly sampled using another probability sampling method.

How do you use stratified sampling?

To create a stratified random sample, there are seven steps: (a) defining the population; (b) choosing the relevant stratification; (c) listing the population; (d) listing the population according to the chosen stratification; (e) choosing your sample size; (f) calculating a proportionate stratification; and (g) using …

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Why is stratified sampling used in research?

Stratified random sampling is one common method that is used by researchers because it enables them to obtain a sample population that best represents the entire population being studied, making sure that each subgroup of interest is represented. All the same, this method of research is not without its disadvantages.

What are the 4 types of sampling methods?

There are four main types of probability sample.Simple random sampling. In a simple random sample, every member of the population has an equal chance of being selected. Systematic sampling. Stratified sampling. Cluster sampling.

What is the easiest sampling method?

Convenience sampling is perhaps the easiest method of sampling, because participants are selected based on availability and willingness to take part.

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