Reliability

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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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Reliability is a measure of the consistency of a metric or a method. Every metric or method we use, including things like methods for uncovering usability problems in an interface and expert judgment, must be assessed for reliability. In fact, before you can establish validity, you need to establish reliability. Here are the four most common ways of measuring reliability for any empirical method or

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