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Comparing Select-All-That-Apply with Two Yes/No Item Formats

We conduct a lot of surveys and unmoderated studies at MeasuringU® using our MUIQ® platform. One of the first steps in these studies involves both screening (ensuring you have the right participants) and characterizing (having sufficient information for further analysis on the participants such as prior experience) the participants. While there are over a dozen

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49 UX Metrics, Methods, and Measurement Articles from 2021

Happy New Year from all of us at MeasuringU®! In 2021 we posted 49 articles and welcomed several new clients to our UX testing platform MUIQ®, where we continue to add new features to reduce the friction in developing studies. We hosted our eighth UX Measurement Bootcamp, again as a virtual event. Going virtual still

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Sliders versus Eleven-Point Numeric Scales on Desktop and Mobile Devices

Adding more points to a scale can increase its reliability and sensitivity. But more points also take up additional screen real-estate space. Imagine twenty or a hundred points displayed on desktop or, even worse, on mobile. One recent digital alternative, allowing for nuanced ratings using the same screen real-estate as a traditional scale, is the

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Select-All-That-Apply versus Yes/No Forced Choice Items

Do you have a Netflix subscription? Do you have a Hulu subscription? Which of the following services do you have a subscription to? Netflix Hulu Disney+ Peacock HBO Max Will you get a different percent of Netflix or Hulu selections if you ask the first form of the question compared to the second one? If

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Sliders versus Five-Point Numeric Scales on Desktop and Mobile Devices

When it comes to collecting numeric ratings in online surveys, there is a definite allure to using sliders rather than the more common numeric scales with radio buttons. It just seems like you should get higher-quality measurements with sliders. Sliders give respondents many more response options, and they appear more engaging than multipoint scales. The

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Censuses, Polls, Surveys, and Questionnaires:
How Are They Different?

Surveys are one of the most popular methods in applied research. While many have argued that surveys are overused, it’s hard to believe that surveys have no place in multi-method UX research. When conducting survey-based research, you’ll often encounter the terms census, poll, and questionnaire used in conjunction with—and often interchangeably with—the term survey. But

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Horizontal versus Vertical Rating Scales

The number of scale points, labeling points, and biases toward the left side of a scale … For over a hundred years, researchers have debated the effects of numerous rating scale attributes. At MeasuringU, we’ve contributed to these debates, publishing empirical research to advance evidence-based practice in UX research. For some examples, see our summary

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Accuracy of Three Ways to Estimate SUS with the UX-Lite

In a previous article, we described three ways to estimate SUS scores from UX-Lite™ (and UMUX-Lite) scores, using either both items (perceived measures of Ease and Usefulness) or the Ease item only: Two-item interpolation: Scaling the mean of both items to a 100-point scale (Lite). One-item interpolation: Scaling just the Ease item to a 100-point

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Three Ways to Measure a User’s Prior Experience

Individual differences in behavior and attitude often overshadow the differences in designs. There are many ways to characterize how people differ. But one characteristic that drives both attitudinal and behavioral UX metrics is prior experience. Beyond the more superficial aspects of demographic variables such as age, gender, income, and geography, a person’s experience with an

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How to Estimate SUS Using the UX-Lite

If you build it, they will come. That may work for a field of dreams. But when it comes to software and products, if you want people to stay and use the product, it had better be useful and usable. Or, at least, the users should think that it will be useful and usable. That’s

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Evolution of the UX-Lite

What makes a product successful? How does a new technology get adopted? Whether business software, a mobile app, or a physical product, there are plenty of examples of products that had a lot of promise but failed, and others that many consider a success. Plenty of books expound theories on developing a successful product (e.g.,

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Do People Use All Available Response Options?

Researchers love to argue about the “right” number of points to use in a rating scale response option. Is the right number five, seven, three, ten, or eleven? The opinions often exceed the data for helping drive the decisions. When there are data, they are often hard to generalize, or they don’t really support the

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