At the heart of your research is the data or information that you need to answer your research questions and achieve your research goals. You may require direct interaction with people, tangible experiences, or indirect information found in a museum. Each type of data collected has unique procedures in which we can provide expert advice.
Sampling
What is it? Sampling is the process of selecting people from a population or data from larger sources of data for a research project. The type of research design and the research questions can inform the sample size and who should participate in a study. Sampling goes hand-in-hand with recruitment. Sampling decisions should be made first, then recruitment can be implemented.
Sampling techniques are divided into clusters of probability and non-probability. Probability sampling is popularly used in mixed methods and in quantitative research projects; however, there are some projects that apply this approach in generic qualitative research designs. It is considered random selection or ensuring that people in a population or a type of data have an equal chance of being chosen. Non-probability sampling is where participants are selected because they meet specific criteria, and is popular in qualitative research because the research goals are usually to gain an in-depth understanding of culture, small group, or a single case. There are various types of non-probability sampling, including convenience, purposive, and snowball sampling.
When you map out all the logistics involved in your project, you may recognize that your sampling method may need further examination. In another instance, you may need to make changes to sampling when you begin collecting data. Our consultants can assist you in selecting the most suitable sampling method(s) for your qualitative project.
How can we help you?
- Help you consider different types of sampling options for your project
- Clearly articulate the rationale for the type of sampling used
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