Hypothesis

1 Matching Annotations

Dec 2020
pubmed.ncbi.nlm.nih.gov pubmed.ncbi.nlm.nih.gov

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

1
1. Grace1999 12 Dec 2020
  
  in BehSci
  
  Lakens. D. Etz.. A. J. (2020) Too True to be Bad: When Sets of Studies With Significant and Nonsignificant Findings Are Probably True. Pubmed. Retrieved from: https://pubmed.ncbi.nlm.nih.gov/29276574/
  
  is:article lang:en Psychology Behaviour science Research Statistics Significant results non-significant Mixed results Mitigating publication bias
Visit annotations in context

Tags

Significant results

Behaviour science

Mitigating publication bias

Statistics

lang:en

Mixed results

non-significant

Psychology

Research

is:article

Annotators

Grace1999

URL

pubmed.ncbi.nlm.nih.gov/29276574/