Publons announced the winner of the Sentinel Award for outstanding advocacy, innovation or contribution to scholarly peer review, and I am proud to announce that statcheck was crowned runner-up!
I am honored that the judges considered statcheck a useful contribution to the peer review system. In the end, one of the things I hope to achieve is that all Psychology journals will consider it standard practice to quickly “statcheck” a paper for statistical inconsistencies to avoid publishing them.
This week the Guardian’s Science Weekly podcast focuses on statistical malpractice and fraud in science. We talk about the role of statcheck in detecting statistical inconsistencies, and discuss the causes and implications of seemingly innocent rounding errors.
This podcast also offers fascinating insights from consultant anaesthetist John Carlisle about the detection of data fabrication, and president of the Royal Statistical Society David Spiegelhalter about the dangers of statistical malpractice.
Proud to announce that I’ve been shortlisted for the Publon Sentinel Award for my work on statcheck. The Sentinel Award is an award for outstanding advocacy, innovation or contribution to scholarly peer review.
At this point, statcheck is used in the peer review process of two major psychology journals (Psychological Science and the Journal for Experimental Social Psychology) and an increasing number of journals are recommending using statcheck on your own manuscript before submitting it.
For more information about the award and the other great candidates, see this page.
In this paper, we ran three independent studies to investigate if data sharing is related to fewer statistical inconsistencies in a paper. Overall, we found no relationship between data sharing and reporting inconsistencies. However, we did find that journal policies on data sharing are extremely effective in promoting data sharing (see the Figure below).
We argue that open data is essential in improving the quality of psychological science, and we discuss ways to detect and reduce reporting inconsistencies in the literature.
I am honored to announce that Joshua R. Polanin and I were awarded a $20,000 methods grant from the Campbell Collaboration for the project “Verifying the Accuracy of Statistical Significance Testing in Campbell Collaboration Systematic Reviews Through the Use of the R Package statcheck”.
The grant is part of the Campbell Collaboration’s program to supporting innovative methods development in order to improve the quality of systematic reviews. It is great that we (and statcheck!) can be a part of this effort.
For more information about the grant and the three other recipients, see their website here.
I’m very happy to present statcheck’s very own logo! With over 6000 downloads & over 6000 visits to the web app, and a running pilot in Pyschological Science, I thought statcheck deserved one. Also, this might settle the upper case/lower case confusion once and for all: it’s not Statcheck, StatCheck, statCheck, or even STATCHECK, but:
The long-read in the Guardian today by Stephen Buranyi featured our work at the Meta-Research Center. Specifically, it focuses on the work of Chris Hartgerink and Marcel van Assen on detecting fabricated data, and how the development and use of statcheck played a role in their research.
I’m honored and proud to announce that Sacha Epskamp and I won the 2016 Leamer-Rosenthal Prize for Open Social Science! This award is an initiative of the Berkeley Initiative for Transparency in the Social Sciences (BITSS), and comes with a prize of
We are invited to attend the 2016 BITSS annual meeting to receive our prize, along with
seven other researchers and educators.