This document provides users with access to a data quality assessment checklist which can be used by operating units when creating data quality assessments.
The purpose of this document is to provide a foundational understanding of probability sampling to USAID staff to equip them as well-informed commissioners and consumers of surveys, evaluations, and other products (hereafter referred to as studies) that require probability sampling. We hope that it will serve as a resource for commissioners to make informed decisions about surveys and to use monitoring, evaluation, and learning (MEL) resources effectively. The main audience for this document includes monitoring, evaluation, and learning specialists, Contracting Officer’s Representative (CORs), and Agreement Officer’s Representative (AORs).
A review of how systems thinking and political economy lenses fit together.
Techniques for achieving results and tracking progress in the fluid and rapidly changing operating environment of authoritarian-ruled Belarus.
CLA and Developmental Evaluations
The Resiliency in Northern Ghana (RING) program is a five-year, $60 million, Feed the Future program that seeks to reduce household poverty and malnutrition in 17 districts in Northern Ghana. The program delivers a variety of activities through local District Assemblies in the following technical areas: agriculture,...
Six Simple Questions to Help Identify Your Monitoring and/or Evaluation Need
The challenge that CARE sought to address in Malawi was to take forward the rich findings from a previously conducted, qualitative Mid-term Review so that instead of becoming a one-off exercise, the evaluation would rather feed into the development of user-friendly monitoring tools that could help program staff be alert...
Attending to Interrelationships, Perspectives, and Boundaries
Synchronizing Monitoring with the Pace of Change in Complexity