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  1. Dec 2020
  2. 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
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    1. Grace1999 12 Dec 2020

      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
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    pubmed.ncbi.nlm.nih.gov/29276574/
  3. Apr 2020
  4. psyarxiv.com psyarxiv.com
    Improving the Utility of Non-Significant Results for Educational Research
    1
    1. edampf 30 Apr 2020

      Edelsbrunner, P. A., & Thurn, C. (2020, April 22). Improving the Utility of Non-Significant Results for Educational Research. https://doi.org/10.31234/osf.io/j93a2

      is:preprint lang:en competence model equivalence testing framework misinterpretation non-significant results research data analysis education policy theory practice reliability
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    psyarxiv.com/j93a2/