Syracuse University Libraries’ Research Data Services will offer a series of workshops on using the Qualtrics online survey software during the fall 2017 semester. Taught by research data services librarian Paul Bern, these workshops will be delivered both in-person and via the web. Due to space constraints, only Syracuse University students, faculty, and staff may attend in-person; anyone is welcome to participate via the web. You may attend any one or all workshops. The workshops are free and all participants must register.
All sessions will be held in 550 Bird Library from 3:30 p.m. to 4:30 p.m. Click on the title below to register for each class.
- Introduction to Qualtrics – September 26, 2017 – Explores the basics of Qualtrics survey design, highlighting some of the more common tasks and options. Learn how to document and back up a survey.
- Basic Question Design – October 3, 2017 – Examines the different types of questions available in Qualtrics. Learn how and why to change the default values, labels, and variable names, as well as how to do some basic question validation.
- Intermediate Question Design – October 17, 2017 – Learn how to use skip and display logic to direct what respondents see, as well as randomizing questions and possible responses.
- Advanced Question Design – October 24, 2017 – Learn to use “carry forward” to display selected responses in follow-up questions, use “piping” to display data in questions and response text, and creating data calculated from two or more questions.
- Survey Flow – October 31, 2017 – Explore the many uses of Survey Flow – randomizing respondents, creating embedded data, customizing the end of your survey, and more.
- Distributing Your Survey – November 7, 2017 – Discuss the various methods of getting your survey to your respondents, creating and using contact lists, and, if time permits, asking for contact information in an anonymous survey.
- Reporting and Exporting Your Results– November 14, 2017 – Learn how to do some basic reporting in Qualtrics.
For more information, please contact Research Data Services at email@example.com