Validity

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Users' attitudes about an experience affect their future behavior. People who think a website is less usable or less attractive will probably visit less, purchase less, and recommend the website less. Understanding users’ attitudes now (easier to measure) can help predict users’ behavior in the future (harder to measure). At least that’s the idea behind using standardized questionnaires such as the SUPR-Q. But there’s actually not

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Our attitudes both reflect and affect our actions. What we think affects what we do and what we do affects what we think. It’s not a perfect relationship of course. What people say or think doesn’t always directly correspond to actions in easily predictable ways. Understanding and measuring user attitudes early and often can provide a good indication of likely future behaviors. Attitudes can be

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How satisfied are you with your life? How happy are you with your job or your marriage? Are you extroverted or introverted? It’s hard to capture the fickle nature of attitudes and constructs in any measure. It can be particularly hard to do that with just one question or item. Consequently, psychology, education, marketing, and user experience have a long history of recommending multiple items

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It’s the only number a company needs to grow. Or at least that’s what was proclaimed in the title of the now famous HBR article that helped popularize the Net Promoter Score (NPS). Lately it's been taking on more criticism. The NPS is compelling to executives because of its simplicity and for what it purports to do: be the one number a company should track

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You don't need to be a data scientist, database admin, or statistical maven to conduct quantitative research. You must, however, have a good grounding in some fundamental concepts to make the most of the efforts. While there are a number of skills, techniques, and concepts you'll want to be familiar with, I think it's essential to master these five: reliability, validity, statistical significance, experimental validity,

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You often hear that research results are not "valid" or "reliable." Like many scientific terms that have made it into our vernacular, these terms are often used interchangeably. In fact, validity and reliability have different meanings with different implications for researchers. Validity refers to how well the results of a study measure what they are intended to measure. Contrast that with reliability, which means consistent

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