In order to prevent misleading conclusions based on spurious observed effects--especially seductively large ones--Robinson and Levin (1997) suggested a two-step approach to the reporting and ...
It’s too often misused and misunderstood. by Amy Gallo When you run an experiment or analyze data, you want to know if your findings are “significant.” But business relevance (i.e., practical ...
Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...
A century ago, two oddly domestic puzzles helped set the rules for what modern science treats as "real": a Guinness brewer charged with quality control and a British lady insisting she can taste ...
Citations: McShane, Blake, Andrew Gelman. 2022. Selecting on Statistical Significance and Practical Importance Is Wrong. Journal of Information Technology. (3)312-315.
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