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Can you generalise?
Dr Melissa Humphries explains how researchers should design their studies to make sure the results are relevant to broader populations.
In this video, Dr Melissa Humphries introduces the concept of generalisability in research, which refers to the extent to which study results can be applied to a larger population than the specific sample studied.
You will learn why it’s important to recognise the limitations of generalisation when you interpret study results. You’ll also have the opportunity to review some real-world examples of what can go wrong when generalisability isn’t carefully considered.
When you have finished reviewing the video, answer the multiple-choice questions below to check your understanding of generalisability in research.
This article is from the online course:
Critical Evaluation in Data Science: Data, the World, and You
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Critical Evaluation in Data Science: Data, the World, and You
