This intensive three-day workshop is designed to equip researchers, academics, postgraduate students, and research practitioners with the knowledge and practical skills required to conduct rigorous qualitative data analysis using ATLAS.ti. Participants will be introduced to the principles of qualitative research and guided through the complete analytical process, from project creation and data management to coding, thematic analysis, visualization, and reporting.
The workshop emphasizes a hands-on learning approach, enabling participants to work with real qualitative datasets, including interview transcripts, focus group discussions, documents, images, audio, and video files. Through practical exercises, participants will learn how to organize and manage research data, develop coding frameworks, apply various coding techniques, identify themes and patterns, and use ATLAS.ti's analytical tools to generate meaningful insights.
Participants will also explore advanced features such as code co-occurrence analysis, network visualizations, query tools, AI-assisted analysis, and report generation. By the end of the workshop, participants will be able to independently conduct qualitative data analysis, produce defensible research findings, and effectively present results in dissertations, theses, research reports, and journal publications.
- Teacher: Shila Mphahlele
