8 Matching Annotations
  1. Sep 2021
  2. twitter.com twitter.com
    ReconfigBehSci on Twitter
    1
    1. jasminehollingworth 03 Sep 2021

      ReconfigBehSci on Twitter: ‘there is a literature on arguments from ignorance (viewed from a Bayesian perspective) that can help here, I think https://t.co/tg1Jlrlldg’ / Twitter. (n.d.). Retrieved 3 September 2021, from https://twitter.com/SciBeh/status/1432409133957869572

      lang:en is:tweet evidence science arguement ignorance Bayseian no evidence literal null political quality logic relevance consistency
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    twitter.com/SciBeh/status/1432409133957869572
  3. Oct 2020
  4. metascience.com metascience.com
    Fiona Fidler: Misinterpretations of evidence, and worse misinterpretations of evidence (Video)
    1
    1. amyhcurtis 29 Oct 2020

      Fiona Fidler: Misinterpretations of evidence, and worse misinterpretations of evidence (Video). (n.d.). Metascience.com. Retrieved 29 October 2020, from https://metascience.com/events/metascience-2019-symposium/fiona-fidler-misinterpretations-of-evidence/

      lang:en AUS significance misinterpret misinformation information evidence research quality bayesian statistic confidence consequence empirical
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    metascience.com/events/metascience-2019-symposium/fiona-fidler-misinterpretations-of-evidence/
  5. Sep 2020
  6. www.newscientist.com www.newscientist.com
    How to sniff out the good coronavirus studies from the bad
    1
    1. ErikStuchly 04 Sep 2020

      Scientist, N. (n.d.). How to sniff out the good coronavirus studies from the bad. New Scientist. Retrieved July 1, 2020, from https://www.newscientist.com/article/2242835-how-to-sniff-out-the-good-coronavirus-studies-from-the-bad/

      is:news lang:en COVID-19 bad science scientific evidence verification evidence quality author research publication guide
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    newscientist.com/article/2242835-how-to-sniff-out-the-good-coronavirus-studies-from-the-bad/
  7. ojs.uwindsor.ca ojs.uwindsor.ca
    A Normative Theory of Argument Strength
    1
    1. ErikStuchly 02 Sep 2020

      Hahn, U., & Oaksford, M. (2006). A Normative Theory of Argument Strength. Informal Logic, 26(1), 1–24. https://doi.org/10.22329/il.v26i1.428

      is:article lang:en normative theory argument quality argument strength importance evidence fallacy Bayesian characteristics critical evaluation argument
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    ojs.uwindsor.ca/index.php/informal_logic/article/view/428
  8. Jul 2020
  9. osf.io osf.io
    Untitled document
    1
    1. ErikStuchly 24 Jul 2020

      Krumpal, I. (2020). Soziologie in Zeiten der Pandemie [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/yqdsu

      is:preprint lang:de COVID-19 sociology analysis collective action social issue politics media public health response empirical evidence quality appraisal
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    osf.io/preprints/socarxiv/yqdsu/
  10. psyarxiv.com psyarxiv.com
    A Checklist to Assess the Quality of Survey Studies in Psychology
    1
    1. katietaylor_99 15 Jul 2020

      Protogerou, Cleo, and Martin S. Hagger. ‘A Checklist to Assess the Quality of Survey Studies in Psychology’, 14 July 2020. https://doi.org/10.31234/osf.io/uqak8.

      is:preprint lang:en quality evidence checklist survey psychology decision making review criteria evaluation experts inter-rater reliability preliminary correlations transparency
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    psyarxiv.com/uqak8/
  11. psyarxiv.com psyarxiv.com
    The quality of research on mental health effects of the COVID-19 pandemic: A note of caution after a systematic review
    1
    1. Marlene_Wulf 14 Jul 2020

      Nieto, I., Navas, J. F., & Vazquez, C. (2020). The quality of research on mental health effects of the COVID-19 pandemic: A note of caution after a systematic review. https://doi.org/10.31234/osf.io/ndgkj

      is:preprint lang:en COVID-19 mental health research quality systematic review consequence database evidence-based response
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    psyarxiv.com/ndgkj/
  12. www.youtube.com www.youtube.com
    Communicating statistics, risk and uncertainty in the age of Covid - Prof. David Spiegelhalter
    1
    1. ErikStuchly 13 Jul 2020

      Communicating statistics, risk and uncertainty in the age of Covid—Prof. David Spiegelhalter. (2020, June 30). https://www.youtube.com/watch?v=Dq7W1l7RptQ&feature=youtu.be

      lang:en webinar COVID-19 communication misinformation uncertainty emotional response scientific evidence quality appraisal statistics transparency trustworthiness video is:youtube
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    youtube.com/watch