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Data Services Class Descriptions

Information, materials, and schedules for all currently offered Data Services classes.
This tutorial explores some of the more advanced survey design features such as survey logic, embedded data, and looping that allow researchers to take full advantage of features on the Qualtrics platform. Hands-on class taught with practical examples in a lab with computers.
Software: Qualtrics
Duration: 90 min

Room description:

Some tutorials are held remotely and require NYU sign on to access, while others are held in person, without a remote component. Please note the correct modality and location of the tutorial when registering
Prerequisites: Active NYU NetID and password
Skills Taught / Learning Outcomes:
  • Featuring advanced principles of survey design (Branch Logic and Embedded Data)
  • Working with Contact List to Create Piped Text
  • Developing a targeted survey distribution plan
  • Filtering, Tagging and Analyzing Individual Responses
  • Building Reports and Visualizing Survey Results
  • Data Management for sharing and storing your survey data
Class Materials:
Related Classes:

Data Visualization with Tableau

Data Cleaning Using OpenRefine

Introduction to Research Data Management

Introduction to R

Introduction to SPSS

What Qualitative Data Analysis Software to Use?
Additional Training Materials:

NYU Qualtrics resources

NYU, Tech Savvy 105:  On-Line Survey Software with Qualtrics

Qualtrics Webinars

Resources for next steps
Feedback: bit.ly/feedbackds

 

Upcoming sessions for this tutorial

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