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 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...
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.
This document discusses the Asian Development Banks Enhancing Knowledge Management under Strategy 2020: Plan of Action for 2009–2011.
This document outlines the SDC 's approach to evaluating knowlege management and institutional learning.
Partnership Defined Quality Monitoring and Evaluation Toolkit provides a set of tools including supervisory checklists, mapping tools and an exit interview to support the implementation of PDQ.