In: Economics
Four type of non-probality sampling in business research are -
Judgmental or Purposive sampling:
In the judgmental sampling method, researchers select the
samples based purely on the researcher’s knowledge and credibility.
In other words, researchers choose only those people who they deem
fit to participate in the research study.
Judgmental or purposive sampling is not a scientific method of
sampling, and the downside to this sampling technique is that the
preconceived notions of a researcher can influence the results.
Thus, this research technique involves a high amount of
ambiguity.
Snowball Sampling
In snowball sampling, you begin by identifying someone who meets the criteria for inclusion in your study. You then ask them to recommend others who they may know who also meet the criteria. Although this method would hardly lead to representative samples, there are times when it may be the best method available. Snowball sampling is especially useful when you are trying to reach populations that are inaccessible or hard to find.
Quota Sampling
In quota sampling, you select people nonrandomly according to some fixed quota. There are two types of quota sampling: proportional and non proportional. In proportional quota sampling you want to represent the major characteristics of the population by sampling a proportional amount of each.
Consecutive sampling:
This non-probability sampling method is very similar to convenience sampling, with a slight variation. Here, the researcher picks a single person or a group of a sample, conducts research over a period, analyzes the results, and then moves on to another subject or group if needed. Consecutive sampling technique gives the researcher a chance to work with many topics and fine-tune his/her research by collecting results that have vital insights.