Validity

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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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