Nonprobability Samples in Management Research

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It is evidently clear from the discussion that all individuals have equal chances of being considered for selection in probability sampling. The outcomes of probability sampling are more likely to give a fairly accurate representation or reflection of the entire population. It is imperative that researchers consider the availability, time, cost, and the subject to research about when choosing a sampling technique. Probability sampling has gained vast popularity among scholars in both fields of quantitative and qualitative study. Overall, researchers or project managers would employ non-probability in the survey while holding on to a basic assumption that the entire population has evenly distributed characteristics. In this case, non-probability samples would be relevant in generating accurate results, as well as inferences about the population under study. Even though non-probability samples are ineffective for generalizations of results about the entire population, they are highly beneficial when the researcher faces workforce constraints, inadequate funding, accessibility problems, and limited time. A non-probability sample refers to a sample or sampling technique that is not based on the methods of random selection. On the contrary, probability samples are based on random selection techniques. All individuals or subjects in a probability sample have equal chances of being considered for selection during probability sampling. First, non-probability samples are valuable in circumstances where only the sample units that are conveniently and easily accessed. Secondly, non-probability samples enable the researcher to generate ideas and get constructive feedback. A typical case is when a project manager uses quota samples (females and males) to generate important ideas and obtain pertinent feedback. Thirdly, non-probability sampling is less costly and more convenient. Thesample is widelyapplicable in situationswherethe researcher wants to generateideas through sampling butlacksadequate funding to undertake a morecomprehensivestudy of theentirepopulation.