As a researcher, it is essential that you establish a Sampling Frame for your unit of analysis. Oxford Languages defines a sampling frame as a list of the items or people forming a population from which a sample is taken.
To do this, you need first to define your unit of analysis. Who will be your research respondents?
The inclusion and exclusion criteria set can also help you define your unit of analysis. Probability sampling techniques would be the appropriate option with a quantitative research design.
Whether you are doing stratified, cluster, random or systematic, ensure that your respondents come from your sampling frame.
Now, how do you construct a sampling frame?
- First, you should get information about the population after establishing your unit of analysis. Details about the count of people and things from the target population should be identified.
- Second, get the number of samples from your defined population. I usually do this using Slovin’s Formular or the Raosoft Computer.
- Third, construct a sampling frame using a tabular presentation. In this table, you should put in one column your Population Count, and then beside it is the Sample Size.
Suppose you are able to present a sampling frame. In that case, your panel will be convinced that you conducted a preliminary survey of your target population, which can strengthen the feasibility of the conduct of your study.
*For qualitative research design, a sampling frame can help. Still, the challenge is in the establishment of your inclusion criteria because, in most cases, non-probability sampling is utilized, and it should be purposeful.
I hope this article helps.
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