This content originally appeared on NN/g latest articles and announcements and was authored by Raluca Budiu, Kate Moran
Summary: 40 participants is an appropriate number for most quantitative studies, but there are cases where you can recruit fewer users.
The exact number of participants required for quantitative usability testing can vary. Apparently contradictory recommendations (ranging from 20 to 30 to 40 or more) often confuse new quantitative UX researchers. (In fact, we’ve recommended different numbers over the years.)
Where do these recommendations come from and how many participants do you really need? This is an important question. If you test with too few , your results may not be statistically reliable . If you test with too many, you’re essentially throwing your money away. We want to strike the perfect balance — collecting enough data points to be confident in our results, but not so many that we’re wasting precious research funding.
In most cases, we recommend 40 participants for quantitative studies. If you don’t really care about the reasoning behind that number, you can stop reading here. Read on if you do want to know where that number comes from, when to use a different number, and why you may have seen different recommendations.
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This content originally appeared on NN/g latest articles and announcements and was authored by Raluca Budiu, Kate Moran
Raluca Budiu, Kate Moran | Sciencx (2021-07-25T16:00:00+00:00) How Many Participants for Quantitative Usability Studies: A Summary of Sample-Size Recommendations. Retrieved from https://www.scien.cx/2021/07/25/how-many-participants-for-quantitative-usability-studies-a-summary-of-sample-size-recommendations/
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