Digital Method of the Month: Statistical Methods - Linear Modelling

Please note this event has been postponed from Tuesday 21 January 2025 to Tuesday 28 January 2025.

Digital Method of the Month image

 

Hybrid 

Have you seen a presentation on digital research methods and wondered if they are applicable to your work? Are you interested in learning new digital skills but unsure where to start?

This is the right place for you!

The digital method of the month meeting is a safe space to freely discuss the practicalities of learning and implementing a new digital skill in your research.

Each month we select a method, and we have an honest and practical discussion on what it takes to learn and master it. How much time will it take to get the basics? What are the software options available? What are the most common pitfalls? Where can you find more info on the subject? Etc...

The method of this month is Statistics, and more specifically linear modelling in statistics. Linear modelling can help you understand and predict the behaviour of complex systems or analyse a phenomenon/trend.

Join us to discuss the main techniques and technologies available, and their limitations and potentials.

This is a beginner-level event, and no previous knowledge of the method is required.

 

This conversation will be led by Rhys Davies and Aislinn Keogh.

If you’re new to this training event format, or to CDCS training events in general, read more on what to expect from CDCS training. Here you will also find details of our cancellation and no-show policy, which applies to this event.

This event is hybrid and you can book a space to join either online or in person.

 

Learning Outcomes:

  • To engage in discussions about the use of linear models in research.
  • To have access to a source of information and online materials on the use of linear models.

 

If you're interested in other training on statistics, have a look at the following: 

 

Return to the Training Homepage to see other available events.

Room 1.40, Edinburgh Futures Institute

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