What are the different sampling techniques used in research?

What are the different sampling techniques used in research?

There are several sampling techniques, including random sampling, stratified sampling, cluster sampling, and systematic sampling. Each has its own advantages and use cases.

Can you explain random sampling in more detail?

Random sampling is a technique where every individual in a population has an equal chance of being selected. This helps to eliminate bias and ensures that the sample is representative of the population.

What is stratified sampling and when should it be used?

Stratified sampling involves dividing the population into subgroups or strata and then randomly sampling from each stratum. It's useful when you want to ensure representation from specific segments of the population.

Are there any disadvantages to these sampling techniques?

Yes, each technique has its drawbacks. For example, random sampling can be impractical for large populations, while stratified sampling requires detailed population information.