Using Bayes to get the most out of non-significant results
Abstract
No scientific conclusion follows automatically from a statistically non-significant result, yet people routinely use non-significant results to guide conclusions about the status of theories (or the effectiveness of practices). To know whether a non-significant result counts against a theory, or if it just indicates data insensitivity, researchers must use one of: power, intervals (such as confidence or credibility intervals), or else an...
Paper Details
Title
Using Bayes to get the most out of non-significant results
Published Date
Jul 29, 2014
Journal
Volume
5
Pages
781 - 781
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Notes
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