Category Archives: reproducible research

Guest post: Stop trusting other researchers

Guest post by L.J Zigerell: Current practice in the social sciences places trust in researchers regarding their data collection, analysis, and reporting of results. That trust is sometimes unwarranted. Instead, we should increase trust in social science by encouraging tools of reproducibility: replication studies, pre-registration, third-party data collection, and open data.
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Guest Post: Leading international studies journal takes replication seriously, by Joseph Young

Transparency and data access – these public goods are crucial principals for science. But why don’t researchers implement them? Political scientist Joseph K. Young discusses incentives for reproducibility, and how he is tracking down old replication data for the leading international studies journal ISQ.
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What is a failed replication?

failed replicationA lot of original authors are concerned about their reputation when their work is replicated, and the replication fails. But when can we actually label a replication as “failed”? And how should we deal with unhappy original authors who feel ‘bullied’? Continue reading

Against publication bias: Politics journal invites pre-registered papers

After fields like Psychology have explored pre-registration of studies, now Political Science follows the trend for more transparency in research. A high ranking journal, Comparative Political Studies, plans a special issue in which all papers have to be pre-registered and are submitted without the results section. I asked Michael Findley, one of the editors behind the initative, about publication bias and transparency in the field. Continue reading

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Guest Post: Publishing a replication? Definitely worth repeating, by Chris Hartgerink

Chris Hartgerink is a research master student at Tilburg University, the Netherlands. I invited him to write a guest post about his experience of publishing a replication project. It turns out that, among many other aspects of doing a replication study, one of the main take away points was that a replicator must be reproducible as well. He explains here why it is important to always have a second assessor on all the analysis code before submitting to a journal.
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Guest Post: Two simple things to make your research more reproducible, by Thomas Wallis

In this guest post, experimental psychologist Thomas Wallis (University of Tübingen) proposes two simple ideas how you can make your work more reproducible.
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Guest Post: Be a better scientist – how to make your scientific output more credible, by Thomas Leeper

Thomas Leeper, a political scientist at Aarhus University, recently wrote about where to store your replication data. In his second post, he explains what kind of data to archive, and why that makes you a better scientist. His post is packed with concrete steps and state-of-the-art software tips.
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