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).
CLA and Developmental Evaluations
Six Simple Questions to Help Identify Your Monitoring and/or Evaluation Need
Monitoring and evaluation (M&E) is critical to all USAID programs for accountability reporting, measuring impact, and informing ongoing strategic management decisions. The principal lesson learned from the Office of Transition Initiatives’ (OTI) 15 years of experience operating in complex, dynamic, and...
As part of the Learning About Learning (L-squared) initiative, this one-pager describes lessons learned on the importance and role of feedback loops from the KDMD experience including a definition, value proposition, implementation process and recommendations, and a mini-case study.
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.
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.
This assessment guide outlines and identifies assessment objectives, participants, organization/facilitation, and result interpretation of health information systems.