Lessons learned on using secondary data to evaluate an orphan and vulnerable children program in Uganda /

The United States Agency for International Development/Uganda asked our project, MEASURE Evaluation to evaluate the performance of the Sustainable, Comprehensive Responses for Vulnerable Children and Their Families (SCORE) program, by examining select outcome indicators (food failure, school enrollm...

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Bibliographic Details
Main Authors: Cannon, Molly (Author), Allen, Zola (Author)
Format: eBook
Language:English
Published: London : SAGE Publications Ltd., 2020.
Series:SAGE Research Methods Cases : Medicine and Health.
Subjects:
Online Access:Connect to the full text of this electronic book

MARC

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520 8 |a The United States Agency for International Development/Uganda asked our project, MEASURE Evaluation to evaluate the performance of the Sustainable, Comprehensive Responses for Vulnerable Children and Their Families (SCORE) program, by examining select outcome indicators (food failure, school enrollment, child abuse/neglect, and child labor) and the effects of interventions on those outcome indicators. They specifically requested that we use data collected by the program for this evaluation.Routine monitoring and evaluation (M&E) data can be used for multiple purposes: to ensure that programs are achieving their objectives; track implementation of program activities and make mid-course corrections; and report to government and donors. Recently, emphasis on using programmatic M&E data to assess program outcomes has increased. Programs for orphans and vulnerable children worldwide face difficulties in the optimal use of data for these purposes, largely because their M&E systems are not designed to collect outcome-level indicators, and because the indicators selected may not be the right fit. Other difficulties relate to challenges with data quality that may occur for different reasons, including the lack of timely data capture and reporting, errors in data recording and data entry, differing understanding of indicator definitions that affect validity and reliability, and incomplete reporting. In addition, community-based programs around the world experience data quality challenges, because the people who collect the data are also the ones who provide the services.This case study describes the authors' experience in designing and implementing the evaluation and provides lessons learned about use of program data for evaluation. 
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