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You’ve probably taken a survey or two in your life, maybe even this week. Which means you’ve probably answered a few types of survey questions, including rating scale questions. Earlier I outlined 15 common rating scale questions with the linear numeric scale being one of the most used. Examples of linear numeric scales include the Single Ease Question (SEQ) and the Likelihood to Recommend item (LTR)

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Should you label all points on a scale? Should you include a neutral point? What about labeling neutral points? How does that affect how people respond? These are common questions when using rating scales and they’ve also been asked about the Net Promoter Score: What are the effects of having a neutral label on the 11-point Likelihood to Recommend (LTR) item used to compute the

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Have you taken a survey for a company without an incentive? I mean surveys where you have no clear chance of winning a prize, getting a discount, or receiving any clear compensation for your time? If you did, what motivated you to take it? Were you just curious, maybe killing time? Did you have a more positive or negative attitude toward the product or company

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When done well, surveys are an excellent method for collecting data quickly from a geographically diverse population of users, customers, or prospects. In an earlier article, I described 15 types of the most common rating scale items and when you might use them. While rating scales are an important part of a survey, they aren’t the only part. Another key ingredient to a successful survey

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We conduct a lot of quantitative online research, both surveys and unmoderated UX studies. Much of the data we collect in these studies is from closed-ended questions or task-based questions with behavioral data (time, completion, and clicks). But just about any study we conduct also includes some open-ended response questions. Our research team then needs to read and interpret the free-form responses. In some cases,

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Much of market and UX research studies are taken by paid participants, usually obtained from online panels. Our research has shown that using online panels for UX research for the most part provides reliable and valid results. While these huge sources of participants help fill large sample studies quickly, there’s a major drawback: poor quality respondents.  Reliable and valid responses only come when your data

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The results of the 2016 UXPA salary survey are in. This is the 5th UXPA survey we've crunched the numbers for and it showed similar patterns as 2014. The Results The data was collected from September-December 2016 using a non-probability sample. Initial respondents were recruited through postings on professional networks and websites, such as UXPA and LinkedIn. Additional respondents were recruited using snowball sampling. Please

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A lot of work goes into planning a study, from customer surveys and unmoderated usability studies to market segmentations. Without enough of the right participants agreeing to participate and completing your study, the generalizability of your findings are limited.Here are five approaches you can use to get the right people to participate in your studies.  In many cases you can combine these approaches to achieve

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The effectiveness of surveys starts with the quality of the questions. Question writing is an art and a science. You need to balance your needs and the needs of the organization commissioning the survey with the burden on the respondents. Here's a summary of 12 useful guidelines we use, pulled from books and articles.1.    Keep questions short, but not too short. Succinct writing and good

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How many hours per year do you spend volunteering? How much do you agree that online articles provide valuable information for businesses to succeed? There is an art and science to writing survey questions. A number of books can help you with the process. But even the best written questions can be susceptible to biases that can creep into your results and affect the quality

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