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Chapter 4: Methodology & Sampling
We adopted the Q-squared research methodology (Lawson, Muwonge and Hulme, 2007)
which systematically integrates ‘quantitative’ and ‘qualitative’ research methods into one
methodology. We believe that well constructed Q-squared studies triangulate data and
can produce deeper understandings of economic and social change or policy impacts by
combining the strengths of each approach. Q-squared approaches offer substantial
benefits in terms of data quality, depth of understanding and policy analysis.
1
Hence, this
research combine information gathered through quantitative methods (surveys) and
qualitative methods (in-depth interviews). Survey data provided us with a bird’s eye
view of the conditions of the ground. Qualitative interviews enable us to write short case
studies and delve deeper into their lives of our informants.
4.1
Questionnaire Design
For this project, we approached three large SHGs having wide presence across Tamil
Nadu and one SHG in Karnataka. The SHGs gave us access to their clients’ database
from which we got an understanding of the demographic and socio-economic profiles of
the SHG members. This further helped us make a choice of clients and districts to give
us variability in terms of occupation and location of clients. These locations were chosen
to gain access to both rural and income in SHG members. . During sample selection,
heterogeneity of livelihood was also taken into consideration.
1
For an excellent reading on this topic: see Bamberger (2000)
