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Paper Accepted @ Collabra: Psychology

Our paper “Journal data sharing policies and statistical reporting inconsistencies in psychology” has been accepted for publication in the open access journal Collabra: Psychology! 14 more words


Science & Energy Zoomcast 9/17/17

As my Thothic Streaming had shown me some months ago, we are now beginning to create our own inter-dimensional portals…

New Earth

LSE Impact Blog on Data Sharing

I had the opportunity to write an LSE Impact Blog about findings from our most recent preprint. I argue that data sharing is vital for scientific progress, and that incentivizing data sharing might be a lot easier than it sounds. 6 more words


New Preprint: Data Sharing & Statistical Inconsistencies

We just published the preprint of our new study “Journal Data Sharing Policies and Statistical Reporting Inconsistencies in Psychology” at https://osf.io/preprints/psyarxiv/sgbta.

In this paper, we ran three independent studies to investigate if data sharing is related to fewer statistical inconsistencies in a paper.  59 more words


Awarded a Campbell Methods Grant

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”. 54 more words


Meta-Science 101 (Single Post)

(Comic taken from xkcd, here)

Part 1: An introduction

Science is in dire straits.

As you may know, a white man in a position of power has recently been criticizing science relentlessly, and it seems like that will continue to be the norm for at least the next four years.   10,815 more words


Meta-Science 101, Part 9: A conclusion

Let’s review.

Science in theory is pretty great, but in practice, science is done by people.  People have flaws, and these flaws infiltrate scientific practice.  Confirmation bias translates into researcher allegiance bias; you’re more likely to obtain a positive result if you believe in the hypothesis you’re testing.   1,109 more words