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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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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For better or worse, our mind plays tricks on us: we are prone to cognitive biases and logical fallacies. These biases don’t impact how do the laundry or prepare supper, although I may convince myself that I always intended to make a galette despite having the cookbook open at the soufflé page. Unfortunately, these same biases and fallacies can wreck
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Recently, I reviewed a number of research proposals in which some applied qualitative or mixed (i.e. quantitative and qualitative) methods to answer health questions. I had my “reviewer hat” on as I assessed the proposals for research quality. After 3-4 proposals, it occurred to me that while assessing quantitative research proposals for research quality and reproducible practices was straightforward, doing
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