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Q-Squared - Combining Qualitative and Quantitative Approaches in Poverty Analysis (Hardcover)
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Q-Squared - Combining Qualitative and Quantitative Approaches in Poverty Analysis (Hardcover)
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This book examines the underlying assumptions and implications of
how we conceptualise and investigate poverty. The empirical entry
point for such inquiry is a series of research initiatives that
have used mixed method, combined qualitative and quantitative, or
Q-Squared ( Q(2)) approaches, to poverty analysis. The Q(2)
literature highlights the vast range of analytical tools within the
social sciences that may be used to understand and explain social
phenomena, along with interesting research results. This literature
serves as a lens to probe issues about knowledge claims made in
poverty debates concerning who are the poor (identification
analysis) and why they are poor (causal analysis). Implicitly or
explicitly, questions are raised about the reasons for emphasising
different dimensions of poverty and favouring different units of
knowledge, the basis for distinguishing valid and invalid claims,
the meaning of causation, and the nature of causal inference, and
so forth. Q(2) provides an entry point to address foundational
issues about assumptions underlying approaches to poverty, and
applied issues about the strengths and limitations of different
research methods and the ways they may be fruitfully combined.
Together, the strands of this inquiry make a case for
methodological pluralism on the grounds that knowledge is partial,
empirical adjudication imperfect, social phenomena complex, and
mixed methods add value for understanding and explanation.
Ultimately, the goals of understanding and explanation are best
served if research questions dictate the choice of methodological
approach rather than the other way around.
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