Tag Archives: reproducibility

Guest Post: Research Data Review is Gaining Ground, by L. Peer and A. Green

Data Review ReplicationThis we know: Sharing research data with the goal of advancing science is slowly becoming the norm in many disciplines, and a rich ecosystem has sprung up in recent years to support that effort. Yes, technological and cultural challenges remain, but anyone watching this space would agree that much progress has been made. A guest post by Limor Peer and Ann Green.

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Good practice in data collection and storing

Research starts with data collection. Before you can do your analysis, you spend hours, weeks, months merging tables and transforming variables. This time is wasted if you don’t keep detailed logs about this process. Here’s a good practice guide.
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Replication & Reproducibility 2014: The best stories

replication_head_smIn 2014, the debate on replication and reproducibility in the social sciences moved towards pre-registration, new guidelines for replication studies, but also increasing criticism of replicators.
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Most read pieces on reproducibility in 2014

Replication 2014
To recap the reproducibility discussions on this blog in the last 12 months I checked what readers clicked on most. Here are the three top pieces on the Political Science Replication blog in 2014.
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Guest Post: The case for pre-registration in social science, by Jamie Monogan

pre-registration replicationPolitical scientist Jamie Monogan, University of Georgia, discusses preregistration: Why should you announce your data analysis beforehand? Which journals support preregistration? And where can you register your study?
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Checklist for a Gold Standard Replication

Screen Shot 2014-12-14 at 15.37.50Many social scientists agree that replication studies are necessary to provide quality standards in research. But how does a good replication study look like? Here is the checklist I will use in my Replication Workshop.
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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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