Category Archives: Sampling

What is snowball sampling?

SnowmanThere are many many different ways to develop your sampling strategy. In the past I have spoken about some of these in detail, for example I mention and discuss from a holistic perspective  what is sampling, and why as a concept it is extremely important. In my time as an academic I have come across many proposals, articles, workshop papers and seminars which feel incomplete due to a inappropriate sampling strategy.

In a previous related blog post, I discuss a specific but popular approach of sampling know as purposive sampling, a methodological approach which develops sampling based on specific defined criteria. Judging by the numbers of views these two posts have accumulated it is clear that there is a demand for this type of discussion in a clear and concise manner. It is to this end that today I discuss another very popular method of sampling, known as snowball sampling.

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What is Purposive sampling?

Purposive sampling
Finding my sample

Finding the right people at the right time is crucial in collecting data that is usable, viable and valuable. In this post I want to discuss the importance of developing a clear sampling strategy, and why understanding and articulating the decisions you make at this early stage are essential for any research papers, book chapters, articles and dissertations you may wish to write in the future. This paper is a brief continuation of my previous article on what is sampling?

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What is sampling?

Sampling approaches
Finding your sample

This blog post attempts to answer one of the fundamental questions of any research project, and one that confuses many a researcher, what is sampling? Why is it important for this research study? First let us be clear the first step within the realm of any social enquiry includes making decisions, which allows for the design and selection of a research sample that matches the focus of this study.

If you are more interested in finding out how many people you should interview, then click here, otherwise continue reading.

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