Sampling Methods
See sample. Each of these sampling methods has advantages and disadvantages. The main focus is to avoid bias within sampling.
Simple Ramdom Sampling
Simple random sampling involves randomly sampling from a population. Simple enough.
Cluster Ramdom Sampling
Cluster random sampling involves clustering a population by convenience, and running a census on random clusters.
Multistage Sampling
Multistage sampling involves clustering by convenience, picking random clusters, and doing simple random sampling on these clusters.
Stratified Sampling
Stratified sampling involves splitting the population into groups (strata) based on similar characteristics, then running a simple random sample from each stratum, proportional to the population.
Systematic Sampling
Systematic sampling involves surveying every
Voluntary Sampling
Voluntary sampling involves putting out a survey, and allow people to answer if they want
Convenience Sampling
Convenience sampling involves surveying people around you out of convenience