Under this type of sampling, the population is divided into different categories (known as strata, hence the name, stratified sampling) and members from these strata are then selected according to the technique of random sampling. Understand sampling methods in research, from simple random sampling to stratified, systematic, and cluster sampling. Learn how these sampling techniques boost data accuracy and representation, ensuring robust, reliable results. Check this article to learn about the different sampling method techniques, types and examples. What are the sampling methods or Sampling Techniques? In Statistics, the sampling method or sampling technique is the process of studying the population by gathering information and analyzing that data. It is the basis of the data where the sample space is enormous. There are several different sampling techniques available, and they can be subdivided into two groups. All these methods of sampling may involve specifically targeting hard or approach to reach groups. Sampling is a process used in statistical analysis in which a group of observations are extracted from a larger population.
