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… (More)
DOI: 10.3389/fpsyg.2014.00781

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