Atlas.ti
This course provides an introduction to the management and analysis of qualitative data using Atlas.ti. It is divided between pre-recorded lectures, in which you’ll learn the relevant strategies and techniques, and hands-on live practical sessions in Zoom, in which you will learn how to analyse qualitative data using the software.
The sessions will introduce participants to the following:
- consideration of the advantages and limitations of using qualitative analysis software
- setting-up a research project in Atlas.ti
- use of Atlas.ti's menus and tool bars
- importing and organising data
- starting data analysis using Atlas.ti’s coding tools
- exploring data using query and visualization tools
Please note: Atlas.ti for Mac will not be covered.
- University Students from Tier 1 Departments
- Further details regarding eligibility criteria are available here
Number of sessions: 6
# | Date | Time | Venue | Trainer |
---|---|---|---|---|
1 | Thu 3 Feb 2022 09:00 - 10:30 | 09:00 - 10:30 | SSRMP pre-recorded lecture(s) on Moodle | Dr Matthew Sparkes |
2 | Thu 3 Feb 2022 10:30 - 12:00 | 10:30 - 12:00 | SSRMP Zoom | Dr Matthew Sparkes |
3 | Thu 10 Feb 2022 09:00 - 10:30 | 09:00 - 10:30 | SSRMP pre-recorded lecture(s) on Moodle | Dr Matthew Sparkes |
4 | Thu 10 Feb 2022 10:30 - 12:00 | 10:30 - 12:00 | SSRMP Zoom | Dr Matthew Sparkes |
5 | Thu 17 Feb 2022 09:00 - 10:30 | 09:00 - 10:30 | SSRMP pre-recorded lecture(s) on Moodle | Dr Matthew Sparkes |
6 | Thu 24 Feb 2022 10:30 - 12:00 | 10:30 - 12:00 | SSRMP Zoom | Dr Matthew Sparkes |
The module is split into three two-hour sessions, each consisting of a lecture and a Zoom meeting:
Session 1: Introduction to Atlas.ti and computer assisted qualitative analysis
Session 2: Mapping and interpreting qualitative data using Atlas.ti
Session 3: Advanced features of Atlas.ti and common pitfalls of using it
Each session will consist of a one-hour pre-recorded lecture, and a live one-hour lab session in Zoom, which will be guided by ‘hands-on’ practicals and worksheet instructions.
This course does not contain a formal assessment but has learning outcomes that are linked to the wider outcomes of the broader programme:
- describe how Atlas.ti can support qualitative data analysis in a research project and recognise the most common pitfalls
- construct strategies for analysing data using Atlas.ti
- perform importation and organisation of data in Atlas.ti
- perform data analysis using Atlas.ti’s coding, memo and visualisations tools
All necessary information on the module's Moodle page which will go live on Friday 16th October.
Click the "Booking" panel on the left-hand sidebar (on a phone, this will be via a link called Booking/Availability near the top of the page).
Moodle is the 'Virtual Learning Environment' (VLE) that the SSRMP uses to deliver online courses.
SSRMP lecturers use Moodle to make teaching resources available before, during, and/or after classes, and to make announcements and answer questions.
For this reason, it is vital that all SSRMP students enrol onto and explore their course Moodle pages once booking their SSRMP modules via the UTBS, and that they do so before their module begins. Moodle pages for modules should go live around a week before the module commences, but some may be made visible to students, earlier.
For more information, and links to specific Moodle module pages, please visit our website
Booking / availability