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Schuster, Roseanne C.; Brewis, Alexandra; Ochandarena, Peggy; Abdelmonem, Angie; Hoso, Sereen; Faqeeh, Khaled
SSM - population health, 12/2019, Volume: 9Journal Article
Understanding cultural norms is essential to achieving results in development interventions and preventing interventions from causing unintended negative consequences. However, capturing norms within everyday contexts in ways that can be monitored and evaluated can be expensive and time consuming and is not always feasible. We tested a novel method, the cultural consensus analysis (CCA), in the context of monitoring and evaluating a United States Agency for International Development (USAID) justice project in the West Bank, Palestine. We conducted 392 survey interviews with men and women, using 60 true or false questions in the knowledge domains of women's empowerment and gender-based violence (GBV), and tested three gender propositions using CCA. We found no singular cultural understanding of women's empowerment and GBV across West Bank Palestinians (proposition 1). Distinctive cultural models for women and other subgroups (e.g., those living in villages, women who identified as discriminated against within Palestinian society) exist, although there were no shared cultural models among men of any subgroup (proposition 2). Program assumptions regarding structural barriers to women's empowerment conformed to the women's cultural models (proposition 3). To our knowledge, this is the first application of CCA as an approach for describing gender norms in international development programming. CCA was able to distinguish subtle cultural patterns, including between population subgroups, and to identify how those are associated with specific risks, such as GBV. We conclude that CCA is a potentially useful approach for development practice, to ground-truth program assumptions and, potentially, to track program impacts. •Cultural consensus analysis (CCA) is a useful tool to measure norms of women's empowerment in Palestine.•CCA can be applied to test gender assumptions built into development programs.•CCA identified deep-set norms but may be less effective at capturing norms in transition.
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