The Variability and Reliability of Standardized UX Scales

In an earlier article, we examined a large dataset of rating scale data. After analyzing over 100,000 individual responses from 4,048 multipoint items across 25 studies, we reported the typical standard deviations for five-, seven-, and eleven-point items. We found that the average standard deviation tended to be around 25% of the maximum range of

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How Variable Are UX Rating Scales? Data from 100,000 Responses

When working with UX metrics (e.g., rating scale data) you need to consider both the average and the variability of the responses. People have different experiences with interfaces, and sometimes they interpret items in rating scales differently. This variability is typically measured with the standard deviation. The standard deviation is a key ingredient in computing

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Evaluation of Three SEQ Variants

The Single Ease Question (SEQ®) is a single seven-point item that measures the perceived ease of task completion. It is commonly used in usability testing. Since its introduction in 2009 [PDF], some researchers have made variations in its design. Figure 1 shows the version that we currently use. In 2022, we decided to test some

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Does Changing the Number of Response Options Affect Rating Behavior?

Changing the number of response options in the survey might confuse participants. Over the years, we’ve heard variations on this concern articulated a number of different ways by clients and fellow researchers. Surveys and unmoderated UX studies commonly contain a mix of five-, seven-, and eleven-point scales. That leads some to express concern. Why are

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Difficult–Easy or Easy–Difficult—
Does It Matter?

The seven-point Single Ease Question (SEQ®) has become a standard in assessing post-task perceptions of ease. We developed the SEQ over a decade ago after our research showed it performed comparably to or better than other single-item measures. It is an extension of an earlier five-point version that Tedesco and Tullis (2006 [PDF]) found performed best

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Completion Times and Preference for Sliders vs. Numeric Scales

In earlier articles, we investigated the effects of manipulating item formats on rating behaviors—specifically, we compared sliders to traditional five-point and eleven-point radio button numeric scales. For those analyses, we collected data from 212 respondents (U.S. panel agency, late January 2021) who used radio buttons and sliders to rate online shopping websites (e.g., Amazon) and

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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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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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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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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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