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The Ultimate Guide to Consecutive Sampling
Get a step-by-step guide for choosing the correct representative sample for survey research.
Non- probability sampling is a method of sample selection where people are inducted into the sample on a non-random basis i.e. based on the judgement of the researcher. This means that not every person has an equal chance of being a part of the sample . This in some way sets a bar for selection and thus, reduces the number of people in the sample which can lead to sampling bias. This bias is associated with the sample’s lack of representation of the target population .
Also known as total enumerative sampling ,consecutive sampling is the process of conducting research including all the people who meet the inclusion criteria and are conveniently available , as part of the sample . The researchers conduct research one after the other until they reach a conclusive result , thus , the prefix consecutive . Here, the sample is selected based on their easy availability, research is conducted , results are obtained and analyzed and then the researcher moves on to the next sample or subject.
A pre -requisite to conducting this research is outlining the requirements of people to be put in the population and then selecting the sample based on convenience . Once this requirement is thoroughly defined , each of the prospective respondent is evaluated to check if they meet the listed requirement and how easily accessible they are for the study . Once they meet the checklist , they are included in the sample population to carry out the research. It is very crucial that the researcher makes sure that the requirement list covers all the aspects that the researching organization wants the respondents to meet as it reflects upon the quality of the study and the analysis conducted thereafter.
It’s clear that in the second case , the brand was able to arrive upon decisive results as a result of learning from their first analysis . This makes consecutive sampling useful for researchers as the process goes on until the results contribute valuable information that can be used for decision making .
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