Guest Post — Never Waste a Good Crisis: A Conversation with Klaas Sijtsma, Former Rector Magnificus of Tilburg University
An interview with Klaas Sijtsma discussing the importance of statistical analysis in research integrity.
The Year in Review: 2022 in The Scholarly Kitchen
Before we launch into 2023, a look back at 2022 in The Scholarly Kitchen.
On Moose and Medians (Or Why We Are Stuck With The Impact Factor)
If Thomson Reuters can calculate Impact Factors and Eigenfactors, why can’t they deliver a simple median score?
Virtual Reality Research — Some Early Problems with Data Reanalysis and Risks of Open Data
The idea of “reanalysis” needs to be rethought, if recent examples are any indication of what this trend could do to science.
More Data, More Problems — Lessons from the Limitations of Google Flu Trends
“Big data” continues to draw attention, but will it ever amount to more than a hypothesis-generating engine and supplementary findings?
Data Sharing and Science — Contemplating the Value of Empiricism, the Problem of Bias, and the Threats to Privacy
Data sharing and publication is a topic we need to consider carefully, and weigh the risks, costs, and benefits, as well as the complexities.
Are Scientists Reading Less? Apparently, Scientists Didn't Read This Paper
When novel, newsworthy results are discovered to be wrong, is that still news?
Dancing Statistics
A new film series offers a chance to dance your way through statistical analysis.
Scholarly Kitchen Podcast: Bibliometrics in an Age of Abundance
Chef Phil Davis discusses the current state of the art in analysis of citation, usage, and other information sources, and some of the opportunities and challenges for bibliometrics in a data-rich era.
Glass Houses and Straw Men — An Attempt to Assess the Quality of Statistical Analyses Fails Its Own Test
Do higher impact journals do a better job with their statistics? A study with a sexy title proves to be poorly designed and poorly reported.
The (Post) Dating Game — Assembling the Evidence
Testing the hypothesis that editors are manipulating publication dates to increase their journal’s Impact Factor.
Statistics and Storytelling — Why We Need Them Both in Science
Two thought-provoking articles published last week in JAMA make compelling and complementary arguments to the rhetorical power of both numbers and words in conveying the message of science.
Graphical Displays, Statistics, and Thinking Straight — "Picturing the Uncertain World"
Simplifying the complex isn’t a simple task. A new book by a practiced hand and statistician proves entertaining and enlightening.
Rectifying Asymmetries — Experts Are Battered From All Sides, But Are We Any Smarter?
Is the Web making experts more susceptible to challenge? Is this a good thing for society as a whole? Or is it creating a confusion demagogues can exploit?
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?