Abstract
Because gender relations are complex and context-specific, nuanced, context-specific data collection and analytical methods are recommended. This chapter presents a suite of quantitative and qualitative methods for collecting and analyzing data on gender relations in agriculture. It begins with a detailed overview of how quantitative and qualitative methodologies can be employed to collect gender and assets data for agricultural research. It reviews the use of mixed-methods approaches in research projects to strengthen research findings and to create a more complete and convincing picture of gender relationships. Three case studies illustrate the ways in which qualitative and quantitative data can be used together in analyzing the gender dimensions of agriculture: adoption of maize varieties in Mexico, adoption of maize varieties in Zimbabwe, and agricultural technology dissemination in Bangladesh. In these three examples, using integrated mixed-methods enabled researchers to understand more about the processes underlying the adoption of agricultural technologies. The chapter concludes with a number of important data needs for gender work in quantitative and qualitative agricultural research.
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