Getting started with Qualtrics: Tips and tricks on collecting experimental and survey-data with Qualtrics

Qualtrics is an online platform that researchers can use to collect data online and build surveys and experiments. This practical workshop aims to get you started with Qualtrics.

First, the basic features of Qualtrics are discussed, such as types of questions. Secondly, we will discuss special cases (e.g. survey flow, building conditions, plug in other media). Thirdly, the speaker will give tips and tricks from her own experience on how to get most out of Qualtrics. In the last part, the participants will build a survey and an experiment to get used to working with Qualtrics.

This workshop is taught by Nanouk Verhulst (VUB).

Learning outcomes

After attending this workshop, you will be able to...

• create your own surveys and experiments in Qualtrics

Competences

An important part of preparing for any further professional step is becoming (more) aware of the competences you have developed and/or want to develop. In the current workshop, the following competences from the UHasselt competency overview are actively dealt with:

• academic research competences:
  • research methods
• task-orientedness:
  • project planning
    
    

For whom?

• PhD students and postdocs
• 20 places available

When and where?

• campus Hasselt, Old Prison, green room (B1.1)
• November 29, 2024 - 13:00-17:00

Details?

• Important:
  • please bring your own laptop to this workshop.
  • create an Qualtrics-account before the start of the workshop (without a login, one can't participate in the exercises).
• Participants can send specific questions related to Qualtrics one week before the workshop to Nanouk.verhulst@vub.be. These topics will be discussed during the workshop.

Registration?

• Registrations are closed.
• As places are limited, registering does not automatically imply that you will be able to participate. You will be notified by email after the registration deadline has passed.
• Please cancel your registration at least one week in advance in case you cannot make it (cf. cancellation & no-show policy).
  
  

Acknowledged as?

• DS ST: courses/workshops aimed at developing general research skills
• DS BSH: category 'research management & communication skills' - course/workshop aimed at developing research (management) skills
• DS HLS: half of a transferable skills course