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Qualitative analysis using Atlas.ti™ windows version

Qualitative analysis using atlas.ti™ windows version

Course Facilitator

Dr Charmaine Williamson is an accredited ATLAS.ti™ trainer (South Africa and North America) and regularly runs ATLAS.ti courses for numerous institutions in higher education. She has presented at ATLAS.ti User Conferences, where she has engaged with other trainers, researchers, the ATLAS.ti management and developers around the uses of the software. She also regularly uses the software for her own research, for her advisory roles in the various universities and for commissioned assignments to be an independent or second coder for researchers, Master and PhD students. Charmaine is also a PhD and Masters supervisor and runs numerous courses in support of researcher development and ‘graduateness’, an area on which she has also published in peer reviewed journals.

Course Description

The purpose of this course is to gain introductory Windows™-based proficiency in the Computer Assisted Qualitative Data Analysis Software ATLAS.ti. ATLAS.ti supports coding that is integral to qualitative analysis of data as well as literature reviews. ATLAS.ti ensures that a systematic, transparent project is followed in terms of good data management as an input into the project and interpreting data and literature, as an outcome of the project. The programme also improves the speed of apprehending and making sense of texts. The course consists of 4 online modules of 2.5 hours

Target Audience

Researchers who wish to support their analysis using a benchmarked software program. M and PhD students and their supervisors

Course Duration

2 days with two session of 2.5 hours per day

Importance of the Course

An introductory working proficiency of using software for coding within qualitative analysis of data and literature. Improved sense-making of text for interpretive purposes

  • Module 1: Introduction to Coding and ATLAS.ti: role within the research project
  • Module 2: ATLAS.ti as a Project Unit and Documents as an input to the research project
  • Module 3: Coding as an input and output of the project
  • Module 4: Memo and Network views to consolidate research outputs with a view to novel contributions as research outcomes

Training Methodology

Demonstration-based and online. All participants must have the licenced version of ATLAS.ti for the course. All participants are expected to have access to their own literature or data that they wish to use as demonstration data

Course Costing


Course Dates

The first iteration of the Course
3-4 May

Repeat Course
10-11 October

Course Registration

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