Design and Analysis of Surveys 1: Best Practice

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Design and Analysis of Surveys 1: Best Practice

This is the registration page for Design and Analysis of Surveys 1

By Sydney Informatics Hub, Core Research Facilities, DVCR, The University of Sydney

Date and time

Wed, 28 Apr 2021 11:30 AM - 1:00 PM AEST

Location

Function Room 277 (and online)

Merewether Building H04 The University of Sydney Camperdown, NSW 2006 Australia

About this event

This workshop is full of practical tips and guidelines on how to design, field and analyse standard surveys. Some of the topics considered will be: how to design a survey, line vs discrete scales, the effect of colour, optimal discrete/LIKERT scales, pros and cons of common analyses (e.g. linear and logistic regression) and optimal ways to export data. The material is software agnostic and can be applied in any software.

Attendance options:

You will get the most out of this session by attending in person. This way allows you to interact with the presenters, ask questions directly, and catch up after the session. Please only choose online if circumstances prevent you from attending campus.

In person: Choose the "In person" ticket option. University rules governing COVID related requirements will apply in the venue.

Online: Choose the "Online Zoom" ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date. 

Sydney Informatics Hub

  • Please use your University of Sydney email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc
  • If you do not have a UniKey, please contact us to confirm your position after registration.
  • Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you!

Organised by

The Sydney Informatics Hub provides support, training, and advice on research data, analyses and computing. Talk to us about your computing infrastructure, data science, digital tools and data governance needs. We can also assist you in choosing the best platforms to facilitate your workflow and collaboration. See https://www.sydney.edu.au/research/facilities/sydney-informatics-hub.html for more information. 

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