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

Key information

Start date: 23 April 2021

Attendance dates:

April 2021: 23

Time commitment: 9:30am - 4pm

Venue:

Distance learning

Contact details:

Overview

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

This one day course provides a comprehensive overview of ATLAS.ti and an opportunity for participants to practice tasks using sample 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.

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.

Please note: This is an ATLAS.ti 9 for Windows course. Participants using the Mac version 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 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.

Learning and teaching methods

  • Contextual discussions
  • Step-by-step teaching
  • One-to-one tutorials.

Course leader

Placeholder image for staff profiles

Dr Sarah Bulloch

Teaching Fellow

Reading list

Participants are requested to read the ATLAS.ti review before attending this course

Class size

Maximum of 12 people.

Requirements for online workshops

This course is delivered online using Zoom. In order to attend you will need a computer (Mac or Windows) that has access to the internet, and a microphone (inbuilt or external). We encourage participants to share their image using a webcam to foster dialogue and interaction, but this is not a requirement.

You will need ATLAS.ti 9 installed and working on your computer ahead of the session to get the most out of the workshop. If you do not currently have access to the software, the joining instructions to the course will provide details on how to access a free trial, which has no time limit, but does have limited functionality.

This course assumes participants have a broad understanding of qualitative and/or mixed methods methodologies, but assumes no prior knowledge about ATLAS.ti.

Entry requirements

There are no formal entry requirements for this course.

You should have a broad understanding of qualitative and/or mixed methods methodologies.

Fees and funding

Price per person:

£168

Government and commercial sector applicants

£120

Education and charitable sector applicants

£72

Students

We are currently running discounts on our courses in order to support researchers during this difficult time.

How to apply

Applications for this course are now open.

Apply now

Terms and conditions

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Further details of our terms and conditions will follow.

Disclaimer

This online prospectus has been prepared and published in advance of the commencement of the course. The University of Surrey has used its reasonable efforts to ensure that the information is accurate at the time of publishing, but changes (for example to course content or additional costs) may occur given the interval between publishing and commencement of the course. It is therefore very important to check this website for any updates before you apply for a course with us. Read more.