Person: Petesch, P.
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Petesch
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Petesch, P.
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0000-0001-6444-9032 2 results
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- Qualitative, comparative, and collaborative research at large scale: the GENNOVATE field methodology(Journal of Gender, Agriculture and Food Security, 2018) Petesch, P.; Badstue, L.B.; Camfield, L.; Feldman, S.; Prain, G.; Kantor, P.We present a field-tested “medium-n” qualitative comparative methodology, which enhances understanding of the strong and fluid influence of gender norms on processes of local agricultural innovation in the Global South. The GENNOVATE approach (“Enabling Gender Equality in Agricultural and Environmental Innovation”) weaves together three broad methodological challenges—context, comparison, and collaboration—and highlights how addressing the social context of innovation contributes to applied research. We discuss GENNOVATE’s analytic approach, sampling framework, data collection, and analysis procedures, and reflect critically on the research strategies adopted to document and learn from the perspectives and experiences of over 7,000 women and men in 137 villages across 26 low- and middle-income countries.
Publication - Qualitative, comparative, and collaborative research at large scale: an introduction to GENNOVATE(Journal of Gender, Agriculture and Food Security, 2018) Badstue, L.B.; Petesch, P.; Feldman, S.; Prain, G.; Elias, M.; Kantor, P.What is the relationship between gender norms, agency, and agricultural innovation? How might we undertake and what can we learn from a comparative approach to this question? GENNOVATE—a comparative and collaborative research project—addresses these questions using contextually embedded qualitative analyses that also allow for comparison and extrapolation of patterns across multiple locations. This paper provides an overview of the conceptual approach and the methodological strategy that informed GENNOVATE's twin objectives and research design. The conceptual framework underlying this original research initiative is introduced and the challenges and opportunities faced when combining inductive and deductive analytic approaches are discussed. The empirical and methodological issues are explored and the broad relevance of GENNOVATE’s research approach beyond the field of agricultural development is reflected upon.
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