Sampling helps a lot in research. It is one of the most important factors which determines the accuracy of your research/survey result. If anything goes wrong with your sample then it will be directly reflected in the final result. There are lot of techniques which help us to gather sample depending upon the need and situation. This blog post tries to explain some of those techniques. To start with, let’s have a look on some basic terminology: Population Sample Sampling Population is the collection of the elements which has some or the other characteristic in common. Number of elements in the population is the size of the population. Sample is the subset of the population. The process of selecting a sample is known as sampling. Number of elements in the sample is the sample size. A visual representation of the sampling process There are lot of sampling techniques which are grouped into two categories as: Probability Sampling Non- Probability Sampling