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Too True to be Bad: When Sets of Studies With Significant and Nonsignificant Findings Are Probably True
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 contain a mix of significant and nonsign...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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SAGE Publications
2017
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5734376/ https://www.ncbi.nlm.nih.gov/pubmed/29276574 http://dx.doi.org/10.1177/1948550617693058 |