Workshops/Analyzing Qualtrics Survey Data

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Session Information

  • Intended Audience - Designed for staff interested in learning more about analyzing data and and reporting results from Qualtrics surveys using built-in features and functions as well and other tools, such as Excel and SPSS.
  • Time - 50 minutes
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Before the Session

This session is hands-on, so please bring your laptop if possible. If you cannot bring a laptop, one will be provided for you. Participants should be familiar with all of the material covered in the Conducting Survey Research Using Qualtrics.

General Description

Although Qualtrics is primarily designed to support online survey distribution and does not have full-featured statistical analysis capabilities, it does include some powerful features for summarizing, visualizing, and reporting survey results. These built-in features may be all you need to get the job done or you can easily export survey data into other tools (e.g., SPSS) for further analysis. Online reports, both public and private, can be generated while surveys are live to monitor incoming data. Custom tables and reports can be constructed to meet specific reporting needs. This intermediate-level workshop covers all aspects of Qualtrics reporting and demonstrates how survey data can be exported to other, full-fledged statistical analysis tools. A review of descriptive statistics and good practices in data visualization are included.

Learning Outcomes

Following this session, you will be able to...

  • Determine the number of completed survey responses
  • Access individual completed surveys
  • Access and interpret the Initial Report
  • Create new reports
  • Limit a report to a subset of the sample using filters (e.g., responses, date of completion)
  • Make any report available publicly online
  • Add graphs and tables to reports and edit display formats
  • Change report display format
  • Conduct and interpret cross tabulation, including nonparametric test results
  • Define common indicators of central tendency and variability
  • List five features of an effective data graph
  • Export survey data into SPSS, SAS, JMP, and Excel
  • Decide whether you need consultation from the Statistics Consulting Center

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