Types of Sampling Methods
Cluster sampling involves identification of cluster of participants representing the population and their inclusion in the sample group. This is a popular method in conducting marketing researches. The main aim of cluster sampling can be specified as cost reduction and increasing the levels of efficiency of sampling.
Multi-stage sampling is a complex form of cluster sampling which contains two or more stages in sample selection. In simple terms, in multi-stage... Multi-stage sampling is a complex form of cluster sampling which contains two or more stages in sample selection.
Simple random sampling (also referred to as random sampling) is the purest and the most straightforward probability sampling strategy. It is also the most popular method for choosing a sample among population for a wide range of purposes.
Stratified sampling is a probability sampling technique wherein the researcher divides the entire population into different subgroups or strata, then randomly selects the final subjects proportionally from the different strata.
Systematic sampling is a type of probability sampling method in which sample members from a larger population are selected according to a random starting point and a fixed, periodic interval. This interval, called the sampling interval, is calculated by dividing the population size by the desired sample size.