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Archives: Statistical significance

Guest Post — When Significance Hurts: What the SAMPL Guidelines Can Teach Us

If science is to be both honest and healthy, we must accept that statistically non-significant results are part of reality. The SAMPL guidelines, if adopted widely by scholarly publishers and journal editors, hold a solution for authors who worry their results are not “significant.”

  • By Michal Ordak
  • Oct 2, 2025
  • 1 Comment
  • Time To Read: 5 mins

Sort of Significant: Are Psychology Papers Just Nipping Past the p Value?

A new paper finds unexpected disturbances around p-value ranges approaching 0.05. Is there something going on beyond mere science?

  • By Kent Anderson
  • Aug 21, 2012
  • 4 Comments
  • Time To Read: 3 mins

The Problem with Significance (a Cartoon)

I knew there was something they weren’t telling me!

  • By Kent Anderson
  • Apr 8, 2011
  • 5 Comments
  • Time To Read: < 1 min

Reference List Length and Citations: A Spurious Relationship

Like ice-cream and murder, there is no causal relationship between reference length and citations. Now go tell Nature.

  • By Phil Davis
  • Aug 18, 2010
  • 10 Comments
  • Time To Read: 3 mins

Significant But Wrong: Are Open Data Advocates Asking Too Much From Statistics?

A recent article about statistics started a useful discussion in the blogosphere. And I was left wondering: Are open data dreams built on statistical sand?

  • By Kent Anderson
  • Mar 24, 2010
  • 0 Comments
  • Time To Read: 3 mins

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The mission of the Society for Scholarly Publishing (SSP) is to advance scholarly publishing and communication, and the professional development of its members through education, collaboration, and networking. SSP established The Scholarly Kitchen blog in February 2008 to keep SSP members and interested parties aware of new developments in publishing.

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