Tag Archives: reproducibility

The Conversation: Seven deadly sins of statistical misintepretation, and how to avoid them

The Conversation recently published a nice piece by Louis and Chapman on common statistical misinterpretations and how they can be avoided. Here is summary of the main points: Problem Reason Solution 1. Assuming small differences are meaningful Most small differences are due to chance, not meaningful differences Ask for the margin of error (ie. half of the 95% CI): if

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Sharing computer code and programs in neuroscience

Many areas of neuroscience require computational techniques to process or analyse data. Some journals including the Nature family of journals and BioMed Central are encouraging investigators to share computer code and programs to improve scientific reproducibility, but these practices are not always adopted. For complex projects with multiple collaborators, it may be unclear what or how much can be shared.

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Scientific computing is important but mastering the skills takes time

Scientifically Sound was born out of the need to provide an online resource to conduct science that is reproducible and valid. This resource is in recognition of the fact that learning the digital skills to manage and analyse data reliably takes time and can be daunting. These concerns were echoed in the recent Nature article Scientific computing: Code alert. It

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Simple rules for making research software more robust

As a new programmer, it still takes me a while to master a language and implement good coding practices. Novice and experienced programmers recognise the difficulties in learning to write code that is generalisable enough to be used in future projects, and by other users. To address these difficulties, Morgan Taschuk and Greg Wilson offer some simple tips to make

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What are published effect sizes and study power in recent cognitive neuroscience and psychology?

Given the ongoing debate on the lack of reproducibility in many scientific fields, Szucs and Ioannidis (2017) analysed published records in cognitive neuroscience and experimental psychology journals to determine publication practices in these fields. The investigators used a text-mining approach to extract 26,841 records of degrees of freedom and t-values from 3,801 papers published between Jan 2011 to Aug 2015

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