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Syracuse University Libraries

Research Data Services: Qualtrics

Online Research Tools

Researchers may find the following tools useful in their work. Emphasis is given to free (or at least having free components) and online tools or services.

Electronic Lab Notebooks:

  • Electronic Lab Notebooks - Guide for prospective users; Information for researchers who are interested in adopting an Electronic Lab Notebook system for documenting research and managing data.
  • ELN at Harvard Medical School - The Electronic Lab Notebook Matrix has been created to aid researchers in the process of identifying a usable Electronic Lab Notebook solutions to meet their specific research needs. Through this resource, researchers can compare and contrast the numerous solutions available today, and also explore individual options in-depth.
  • RSpace - An ELN for researchers to organize, manage and collaborate on their projects.
  • Hivebench - Biology-focused experiment, lab and project management.
  • Docollab - Project management system, collaboration.
  • Benchling - Life Sciences focused experiment, lab and project management.

Data Analysis/Visualization:

  • TableauPublic - Free version of their desktop and online data visualization platform. All data uploaded to TableauPublic is available to everyone on the Internet. The paid versions allow restricted access.
  • StatCrunch - Simple online data analysis and survey package.
  • Open HeatMap - Use spreadsheets from excel or Google to create maps and publish on the web.
  • Dataviz - Data visualization for time, geographic and comparative data.
  • OpenRefine - Data cleaning and exploration tool.

Directories of Research Tools:

Qualtrics

The Qualtrics online survey platform is available to all Syracuse University students, faculty and staff.  The platform may be accessed at https://syracuseuniversity.qualtrics.com . Be sure to use this link so you will be able to use all the features available. If you need help using Qualtrics, please contact Research Data Services at datasvcs@syr.edu.

The video tutorials below will help you learn the basics of the most commonly used features of Qualtrics. Please be sure to also watch our Data Training tutorials as well.

 

 

Qualtrics "How-To's"

Generating Consecutive Counts in Qualtrics - These instructions are for generating consecutive numbers or counts of respondents in Qualtrics. One example for needing to do this is if you distribute your survey via an anonymous link and must generate userids “on the fly” so your respondents can use that ID in another application.

Conducting Repeated Measures Surveys in Qualtrics - These instructions will show you how to create repeated measures surveys in Qualtrics.

"Nested Loops" in Qualtrics - These instructions will demonstrate how to mimic nested loops using the Loop and Merge function

 

Qualtrics Tutorials

Planning Your Qualtrics Survey

This is the first module of the Qualtrics Tips and Tricks series. In this module we discuss how to plan your survey in Qualtrics.

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Documenting and Backing Up Your Qualtrics Survey

This module shows you how and why you can document and back up your Qualtrics survey.

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Variables and Values

This video shows you how to name your variables and edit the individual values to make processing and analysis easier.

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Anonymity In Qualtrics: Introduction

This is the first of three videos on anonymity in Qualtrics. This video discusses the various levels of anonymity in
Qualtrics and what you need to be aware of before you start building your survey.

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Anonymity In Qualtrics: How-to

This video shows you how to set various options for protecting your respondents' privacy as well as what the resulting data will look like.

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Anonymity In Qualtrics: Voluntary Contact Information

This video shows you how to set various options for protecting your respondents' privacy as well as what the resulting data will look like.

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Randomizing Respondents

In this module we describe how to randomly assign respondents to multiple experimental conditions.

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Randomizing Treatments

In this module we discuss randomizing treatments shown to respondents. This module assumes that you have watched the Randomizing Respondents tutorial.

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