This package allows you to use the Qualtrics API to directly connect to your survey data. 😮‍💨 Having to go through this process manually every time that you want to download Qualtrics data can be cumbersome and time consuming.Įnter, the qualtRics package from Julia Silge and Jasper Ginn 3. If you’ve worked with Qualtrics data before, you know you have to log into Qualtrics, navigate to the data section, wait for all of the data to be “re-indexed” for viewing, choose whether to export as numeric or character values, choose what type of file to export, download the data file, find the downloaded data file, change the name of the file to something comprehensible, and delete those first two obnoxious rows of metadata.  Part 1 of this series will show you how to use qualtRics to import your data, and we’ll cover excluding your data with excluder in Part 2. Combining the qualtRics and excluder packages can help you deal with the tedious part of survey data and quickly get to the fun part of data analysis! I developed the excluder package to help with removing data entries based on broad metadata such as response duration, respondent location, screen resolution, etc. This way I don’t accidentally save personally identifiable information in a place that is not authorized for sensitive data.Īfter importing data, there is often a lot of clean up that needs to happen, especially for online survey respondents. It also lets me create data pipelines for sensitive data by reading files directly into R without saving them locally until they’ve been deidentified. Fortunately, two R packages ( qualtRics 1 and excluder 2) can make importing data and excluding low-quality data easier.ĭiscovering the qualtRics package has saved me a lot of time importing data. However, while Qualtrics makes survey design straightforward, once the data are collected, there is a lot of work to do. I use it frequently to conduct research studies with participants or just to poll students and collaborators. The online survey system Qualtrics can be a great way to collect data from research participants, customers, and stakeholders.

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