The Scholarly Kitchen

What’s Hot and Cooking In Scholarly Publishing

  • About
  • Archives
  • Collections
    Scholarly Publishing 101 -- The Basics
    Collections
    • Scholarly Publishing 101 -- The Basics
    • Academia
    • Business Models
    • Discovery and Access
    • Diversity, Equity, Inclusion, and Accessibility
    • Economics
    • Libraries
    • Marketing
    • Mental Health Awareness
    • Metrics and Analytics
    • Open Access
    • Organizational Management
    • Peer Review
    • Strategic Planning
    • Technology and Disruption
  • Translations
    topographic world map
    Translations
    • All Translations
    • Chinese
    • German
    • Japanese
    • Korean
    • Spanish
  • Chefs
  • Podcast
  • Follow

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

Official Blog of:

Society for Scholarly Publishing (SSP)

The Chefs

  • Rick Anderson
  • Todd A Carpenter
  • Angela Cochran
  • Lettie Y. Conrad
  • David Crotty
  • Joseph Esposito
  • Ashutosh Ghildiyal
  • Roohi Ghosh
  • Robert Harington
  • Haseeb Irfanullah
  • Lisa Janicke Hinchliffe
  • Phill Jones
  • Roy Kaufman
  • Scholarly Kitchen
  • Stephanie Lovegrove Hansen
  • Alice Meadows
  • Alison Mudditt
  • Jill O'Neill
  • Charlie Rapple
  • Dianndra Roberts
  • Maryam Sayab
  • Roger C. Schonfeld
  • Avi Staiman
  • Randy Townsend
  • Tim Vines
  • Hong Zhou

Interested in writing for The Scholarly Kitchen? Learn more.

Most Recent

  • Ask the Community: Takeaways from SSP 2026
  • Guest Post — Fixing the Leaky Metadata Pipeline: A Conversation with the Creator of Research Nexus Score
  • Building Scholar-Ready AI: A Conversation with Todd Toler

SSP News

Society for Scholarly Publishing Recognizes Six Members for Outstanding Contributions

Jun 10, 2026
Follow the Scholarly Kitchen Blog Follow Us
Society for Scholarly Publishing (SSP)

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.

The Scholarly Kitchen is a moderated and independent blog. Opinions on The Scholarly Kitchen are those of the authors. They are not necessarily those held by the Society for Scholarly Publishing nor by their respective employers.

  • About
  • Archives
  • Chefs
  • Podcast
  • Follow
  • Advertising
  • Privacy Policy
  • Terms of Use
  • Website Credits
ISSN 2690-8085