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The Myth of Null-Hypothesis Significance Testing
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Background Null hypothesis significance testing (NHST) causes researchers to draw erroneous conclusions from their data. NHST is still ubiquitously used as a default procedure to make inferences about population effects. Despite it’s popularity, NHST has received much criticism in the past decades. The core of this criticism is that NHST is a form of indirect inference; a conclusion about a popula…
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