Using Regression Analysis to Measure Sustainability: A Practical Tool for Evidence-Based Learning
Methods for measuring and monitoring systemic change in the agriculture sector have drawn increased attention in recent years. Good practice dictates that continual data analysis be integrated into management systems to enable evidence-based, adaptive learning. Yet in this data-driven age, practical methods for quantifying local actor investment and performance remain surprisingly underutilized by agricultural development project implementers. This learning brief examines the application of regression analysis to test the relationship between market system variables as a gauge of momentum towards sustained change. We present an example to assess the role of key inputs toward early adopter smallholder performance in Tanzania, and discuss possibilities for integrating results into adaptive project management decision making processes.