Published Article

ABSTRACT

The study sought to assess the different methods of sampling techniques. Sampling is a critical aspect of research and data analysis, and the choice of sampling method can significantly influence the validity and generalizability of study findings. Sampling is useful in these instances because it provides a wide range of non-probability sampling techniques for the researcher to draw on. The study analysed the different sampling techniques, i.e., quota sampling, judgmental or purposeful sampling, snowball sampling, and convenient sampling. The study analysed their strengths and weaknesses. The paper concluded that sampling helps a lot in surveys and research, where we have to take a sample from a large population. Different techniques of sampling are available to give different types of desired results. It is used to form conclusions about populations based on samples, and it allows us to identify the features of a population.