This is a three-day advance training in qualitative data analysis and reporting. The training is suited for those who are already working on projects with qualitative dimensions and have basic to intermediate level skills in the use of software for qualitative analysis. Participants must have previous experience in analysing qualitative data including coding and managing a coding scheme; seeking patterns across themes and cases;  representing findings in graphic displays and recording the analytic process in memos.

This course provides participants with advanced understanding and applied skills in conducting qualitative content analysis (QCA), thematic analysis (TA), cross-case analysis (CCA) and grounded theory (GT). The course addresses the gap both in the literature and in scholarship training on how to conduct the four above methods from the stage of data coding to presenting findings in a CAQDAS environment. Upon completion of the course, participants will be able to describe the aim and specificities of each method; implement each method’s coding and analytic procedures in NVivo or QDA Miner, and assess the quality of reporting of published studies that used the four methods. Being an advanced course, participants should be cognizant of the philosophy underlying critical realist epistemology and some of its associated methods to analyse qualitative data.

Participants will learn the critical skills required to publish written reports of qualitative research.
Arowolo Ayoola (PhD)
Lead Partner
DATA-LEAD AFRICA
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