Events

Event Title	Qualtrics API (online)
Location	Davis Library Room 219 and Online via Zoom
Sponsor	H.W. Odum Institute
Date/Time	11/10/2023 10:00 AM - 4:00 PM
Event Price
Cutoff Date	11/06/2023 Must register before this date

For more information, contact the event administrator: Jill Stevens jill_stevens@unc.edu

Event Presenters

Name	Title
John D. Martin III		Research Data Systems Archivist at the Odum Institute for Research in Social Science at the University of North Carolina at Chapel Hill

Description: This is a full-day, intensive, online interactive course focused on using the Qualtrics Application Programming Interface (API) to interact with survey instruments and data housed on the platform. The session will be broken into to two segments over the course of the day: 1) we will cover the basics of what an API is, how they work, and what they are used for, all set in terms of the Qualtrics platform; and 2) will cover practical examples for programming with the Qualtrics API using R, Python, and JavaScript (Node). Participants will have the opportunity to work hands-on with writing simple code that they will be able to build on. The goal of the course is to give participants the basic tools needed to begin to automate parts of their research workflows that interact with Qualtrics, thereby decreasing workload and increasing data security.

Learning Objectives:

Understand Application Programming Interfaces (APIs), routes, and endpoints as part of a data collection and analysis workflow.
Become familiar with some of the methods available through the Qualtrics API that are analogous to functions that can be performed using the web interface.
Understand how to read API documentation and make requests against endpoints.
Understand how to incorporate API calls into your data organization, cleaning, and analysis (or other) code.
Be regarded as a wizard by your Qualtrics-using colleagues.

Take-away: Working through an API allows your code to interact directly with a system or platform to perform import, export, and other functions without having to manually download or upload information through the web-based user interface. This allows for more secure data transfer, decreased possibility for human error in data cleaning and analysis, and better overall replicability through your data workflow.

NB: For one hour before the advertised start time, we will hold an open session for you to join us and get assistance with setting up your system, installing the software you need, etc. Details and software requirements will be sent by the instructor to registered participants one week before the course date.