Day 2 of the
#RealistResearchBlendedCourse opened with a short recap from two volunteer participants, who shared their most important takeaways from Day 1 of the in-person session.
This was followed by a session led by Dr. Prashanth N.S., who walked us through the steps of conducting a realist evaluation from theory development to empirical testing and finally theory refinement and synthesis. He emphasised the importance
of developing a priori theories, which can be constructed using multiple sources such as literature reviews, programme documents, stakeholder interviews, hunches informed by field interactions, and empirical data.
Dr. Brynne Gilmore led a detailed session on data analysis and synthesis in realist evaluation and unpacked its methodological aspects. She introduced the teacher–learner approach, theory-driven interviewing, and the importance of asking questions in the right way. She also discussed in depth the concept of retroductive analysis to identify hidden causal factors, which draws on a combination of induction, deduction, and insights from intuitive reasoning (abduction).
After the session, participants worked in groups on a few casestudy examples to analyze data, refine the program theory, and apply their learnings. They then shared their insights with all participants.Professor Bruno Marchal demonstrated, through a variety of real-world examples, how realist methods can be applied across multiple levels of health systems.
Finally, Professor Arnab Mukherji discussed a case study to illustrate how patterns emerging from data can shape
development of initial program theory for realist research.
@Chaudharyadit23 @AvishekHazra23,
@commed_doc @MonicaShriv @punitrd @HiralkarSakshi @brynne_gilmore
#IPHBengaluru #TTNSoAS #RealistResearch2025 #IPHEvents #blendedlearning