Plenary Masterclass: Mixed methods in process and impact evaluation
byANH Academy
Academy Week Learning Lab
| Agriculture, Economics, Nutrition, Public Health, Social Sciences, Other
Date and Time
From: 20 June 2016, 09:30
To: 20 June 2016, 10:30
EAT Eastern African Time GMT+3:00
Country: Ethiopia
Open Full Event ANH2016


Full Title

Integrating Mixed Methods in Process and Impact Evaluation

Session Overview

How can “mixed methods” improve the quality and utility of evaluations of complex, integrated programs ? How do we use MM throughout program design, monitoring, learning and evaluation Methodological and capacity considerations for rigorous mixed methods

View the slides


What qualifies as mixed methods? “any methodological combination [is] mixed methods research (MM) when it satisfies:

  1. at least one qualitative method (QUAL) and one quantitative method (QUAN) are combined;
  2. each method is used rigorously; and
  3. the data collections, and/or data analyses, and/or results are integrated”
  • Integration allows for a greater array of questions to be addressed to inform understanding process of impact, sustainability and scale up
  • Triangulation of complementary methods verifies and increases utility of different data sources and findings
  • Compensates for weaknesses of evaluation strategy due to resource / capacity constraints
  • Mixed methods require us to stretch ourselves beyond our comfort zones – but the payoffs in terms of program learning and impacts are worth it


Plenary masterclass


Amy Webb Girard, Emory University


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