Posts with the "survey" tag

outcomerate: Transparent Communication of Quality in Social Surveys

October 2, 2018

By:   Rafael Pilliard Hellwig

Background Surveys are ubiquitous in the social sciences, and the best of them are meticulously planned out. Statisticians often decide on a sample size based on a theoretical design, and then proceed to inflate this number to account for “sample losses”. This ensures that the desired sample size is achieved, even in the presence of non-response. Factors that reduce the pool of interviews include participant refusals, inability to contact respondents, deaths, and frame inaccuracies.

The 2018 author and reviewer survey

April 17, 2018

By:   Karthik Ram  |   Noam Ross  |   Scott Chamberlain  |   MaĆ«lle Salmon

rOpenSci’s package review system (aka onboarding) is one of our key activities to improve quality and sustainability of scientific R packages. The editorial team are constantly working towards improving the experience for both authors and reviewers. After our first year, we surveyed authors and reviewers who participated in our onboarding process to help us better understand what’s working well and where there is room for improvement. At the end of last year, we did so again, re-designing our survey so as to better track participant opinions year-to-year.

Help us prioritize what to build in 2016

January 7, 2016

By:   Karthik Ram

We’ve got a big year ahead of us as we work towards expanding our team and organizing various events and activities. We remain committed to supporting and expanding the landscape of open source tools that are available to researchers. While much of our focus has been around making it easier to access various data repositories, we are keen on improving other parts of the research pipeline, including data munging, documentation and sharing.

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