UEA/IDS Mixed Methods Workshop (July, 2013)
Exploring public perceptions of the 'necessities of life' in the UK, Eldin Fahmy from the University of Bristol stressed the need to move away from using mixed methods for triangulation alone, i.e. combining methods to enhance validity of inferences from data. This combination of methods assumes that data can be 'integrated' and tends to glaze over the contrasting strengths and weaknesses of both data types (which have different epistemologies). Instead, he said complementarity should drive the use different research methods, i.e combining approaches to add breadth and depth of analysis.
Edna Bautista and Maria Torres from the Universidad de los Andes presented an interesting study on measuring multidimensional poverty in Colombia. They used the multidimensional poverty index (MPI) followed by in-depth case studies to understand drivers of poverty at the household level. By using mixed methods, the study identified new dimensions of poverty and the qualitative data helped give insights into intra-household dynamics (e.g. teenage pregnancy was found to be a coping mechanism to get away from domestic violence. This was completely missed in the MPI). Personally, I was encouraged to see that the findings of the study were presented to the mayor of their municipality who appreciated the MPI because it was something familiar to him (Colombia uses it on a national level) and welcomed the qualitative case studies which presented detailed storylines to explore the hidden dimensions of poverty.
The second day was focussed on impact evaluation and poverty dynamics. Keetie Roelen from IDS discuss using mixed methods to evaluate social protection programmes. Taking case studies from Ethiopia and Burundi, she detailed moving away from using quantitative techniques and experimental methods alone to evaluate project impacts towards using participatory and qualitative methods to understand project dynamics and impacts. She highlighted how programme processes, social dynamics and feedback loops (from project evaluation back to project design) are essential to make evaluation frameworks more robust.
Anthropologist Janet Seeley from UEA, presented a poignant narrative of how the dynamics of poverty play out through a person's life. Looking at elderly AIDS positive patients in Uganda, she used longitudinal case histories to present storylines and I think her skilful storytelling brought to life the rich depth that qualitative research methods are capable of.
For me, the most interesting talk was by Lucrezia Tincani, who presented a study on rural household resilience from Burkina Faso. She explored household food security using the systems-based resilience theory, and highlighted how quantitative methods helped her see how much resilience varied between households and over time, while qualitative techniques helped her explore why these variations were occurring.
The workshop ended with a stimulating discussion on the continuing challenges of operating in the grey area between quantitative and qualitative research methods. No clear answers, but lots of food for thought!