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).
Six Simple Questions to Help Identify Your Monitoring and/or Evaluation Need
A learning agenda includes a (1) set of questions addressing the critical knowledge gaps impeding informed design and implementation decisions and (2) plans for learning activities to help answer those questions. A basic process for a learning agenda includes three key steps:Understanding the context Developing and...
This USAID Program Cycle Technical Note describes the 5Rs Framework and demonstrates how it can be applied to strengthen local systems and promote sustainability.
By the end of this course, participants should be:Able to work with others to construct a Performance Monitoring PlanAble to work with others to manage, measure, and report on program performanceEnergized about monitoring your projects and objectives as a means to helping you achieve your resultsHandouts from this...
This handout comes from the Performance Monitoring Course. All sessions from this training can be found on the Performance Monitoring Training page.
Written for non-profits, implementing partners can use this to support their monitoring, while USAID can use it for learning about their programs through monitoring CDCS/ CLA.
The MEASURE DHS STATcompiler allows users to make custom tables based on hundreds of demographic and health indicators across more than 70 countries.
This presentation demonstrates a soup to nuts KM approach, from assessment stages and tools to performance indicators.