Too True to be Bad: When Sets of Studies With Significant and Nonsignificant Findings Are Probably True
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Psychology journals rarely publish nonsignificant results. At the same time, it is often very unlikely (or "too good to be true") that a set of studies yields exclusively significant results. Here, we use likelihood ratios to explain when sets of studies that ... ...
