Introduction to ATLAS.ti for qualitative and mixed-methods analysis

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Date(s) - 12/16/2020
9:30 am - 4:30 pm



ATLAS.ti is a powerful software for the qualitative and mixed-methods analysis of text, audio, video, survey and social media data.

Led by Dr Sarah Bulloch at the University of Surrey, this two day course provides a comprehensive overview of ATLAS.ti and an opportunity for participants to practise tasks using their own data. The focus is on gaining confidence in setting up a project efficiently, managing and organising data, exploring and conceptualising data and interrogating and visualising data.

Click here to find out more and book a place.

The course combines discussion, demonstration and hands-on work, including:

  • Contextual discussions – developmental, methodological and analytical principles
  • Software overview –interface, architecture, tools
  • Analytic planning – ensuring analytic strategies drive the appropriate use of software tools
  • Guided instruction – step-by-step teaching in the operation of ATLAS.ti and the use of tools for analytic tasks
  • Individual support – time for participants to discuss their projects with the tutor.

During the first day sample data are used in order to become familiar with tools, and the whole group follows common tasks together and practice exercises individually. Work is structured to provide step-by-step support.

During the second day participants set up their own ATLAS.ti project and work with their own research materials. The first part of the day focuses on translating the tasks covered in day one into practice. Individuals and teams work independently, with support from the tutor. The remainder of the day focuses on experimenting with more sophisticated uses of tools. Possibilities and implications are discussed, demonstrated and practised

Participants are encouraged to bring their own research materials to work with (this could include transcribed primary data, literature files, reports pertinent to the project, etc.), although sample materials can also be provided.

Please note: This is an ATLAS.ti 9 course and we will be demonstrating using the Windows version. Participants using the Mac version and ATLAS.ti 8 are welcome to attend but the main part of the course will cover the functions available for the Windows version 9. For information about products and versions see the ATLAS.ti website.

Learning outcomes

  • Understand the structure of ATLAS.ti and how it can be used throughout a research project
  • Navigate around the software and operate it to undertake analysis
  • Understand the importance of analytic planning in harnessing ATLAS.ti tools powerfully
  • Set up an ATLAS.ti project to reflect initial research design and change structures as a research project progresses
  • Identify ATLAS.ti tools that can be used to fulfil specific analytic tasks
  • Know where to access relevant resources to support continued ATLAS.ti use.

Course content

  • Principles of using ATLAS.ti
  • Data preparation, import and organisation
  • Data exploration and familiarisation
  • Coding strategies – including appropriate uses of auto-coding
  • Use of writing and visualisation tools to reflect on data and processes
  • Querying and outputting.

Click here to find out more and book a place.

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