Monthly Series(Empirical Research)

Sampling in empirical research is about choosing a smaller group from a larger population to better understand the whole without studying every individual. It’s like picking a few cake slices to judge its flavour instead of eating the entire thing. Researchers use different methods to make this process fair and meaningful. For example, probability sampling gives everyone a chance to be selected, ensuring a balanced representation, while non-probability sampling focuses more on convenience or specific needs. Deciding the right sample size depends on factors like population size and how accurate the results need to be. Of course, challenges like bias or people not responding can sometimes make things tricky, but with thoughtful planning, researchers can get reliable insights that truly reflect the bigger picture.