Review of Sampling Techniques for Education

Abstract

This paper offers a thorough explanation of the procedure for aspiring authors to learn more about data-gathering techniques and the application of sampling strategies in completing papers for publication in a range of academic fields. The sections describe the data-gathering methods used & sampling techniques to clarify those differences. Both probability sampling and non-probability sampling are employed in statistics. The advantage of probability sampling ensures the sample will be represented in the population. Simple random, systematic, stratified, and cluster sampling are some of the different types of probability sampling techniques. Non-probability sampling chooses the sample based on individual judgment. Non-probability sampling technique is considered the best because it includes all subjects’ representation of the entire population. Convenience sampling, sequential sampling, quota sampling, judgmental sampling, and snowball sampling are just a few examples of non-probability sampling. The differences between non-probability sampling techniques and probability sampling approaches are examined.