What are the different sampling methods used in research?

What are the different sampling methods used in research?

There are several sampling methods, including random sampling, stratified sampling, cluster sampling, and systematic sampling. Each has its own advantages and applications.

Can you explain random sampling in more detail?

Sure! Random sampling involves selecting a group of subjects from a larger population in such a way that every individual has an equal chance of being chosen. This helps to eliminate bias.

What about stratified sampling?

Stratified sampling divides the population into subgroups or strata that share similar characteristics. Then, random samples are taken from each stratum, ensuring representation across key segments.

When should I use cluster sampling?

Cluster sampling is useful when the population is large and spread out. It involves dividing the population into clusters, then randomly selecting entire clusters for study, which can save time and resources.