Too True to be Bad: When Sets of Studies With Significant and Nonsignificant Findings Are Probably True.

scientific article published on 5 May 2017

Too True to be Bad: When Sets of Studies With Significant and Nonsignificant Findings Are Probably True. is …
instance of (P31):
scholarly articleQ13442814

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P356DOI10.1177/1948550617693058
P932PMC publication ID5734376
P698PubMed publication ID29276574

P50authorDaniel LakensQ57810589
P2093author name stringAlexander J Etz
P2860cites workWhy most published research findings are falseQ21092395
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The frequency of excess success for articles in Psychological ScienceQ43419573
P-curve: A key to the file-drawerQ51186445
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The propagation of self-control: Self-control in one domain simultaneously improves self-control in other domainsQ53169119
Belief in the law of small numbersQ55887932
P433issue8
P304page(s)875-881
P577publication date2017-05-05
P1433published inSocial Psychological and Personality ScienceQ15716265
P1476titleToo True to be Bad: When Sets of Studies With Significant and Nonsignificant Findings Are Probably True
P478volume8

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cites work (P2860)
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