I had the pleasure of having a another interesting and informative chat with Brian Okken on his Test & Code podcast. This time we talk about test driven development, an interesting approach to writing software tests. We also delve into scientific workflows and the reproducibility crisis. Have a listen!
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At the end of last year I had the pleasure of talking to Brian Okken about testing scientific code on his podcast Test & Code. In case you missed the episode, it is included below. As you will hear at the end of the episode, Brian invited me back to talk about Test Driven Development, so stay tuned…
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Contributing to journal peer review is a good way to observe and mitigate the research conducted in a scientific field, and contribute to the growth of knowledge. I have peer reviewed for some years, and assessing manuscripts for publication now comes more easily. As a peer reviewer, I think it curious how simple statistical oversights are common at submission. As
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In the previous post we learned that qualitative studies can be reported in ways to ensure research design, measurement, data analysis and data itself are made transparent. Economics researchers Aguinis and Solarino conducted a literature search and developed 12 criteria for research transparency, covering research design, measurement, data analysis and data disclosure. They emphasize that transparency exists on a continuum.
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I am used to confused interactions, likely because I get along better with dogs and kids than I do with adults. But that is not what Nieuwenhuis et al. had in mind when they surveyed 513 articles relating to behavior, cognitive function or brain imaging from leading journals (Nature, Science, Nature Neuroscience, Neuron, Journal of Neurosience). What they were looking
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