International Development and Programs (Development Work) - International Development and Programs (Development Work)

To be useful in managing for results and credible for reporting, indicators should be measured consistently and accurately. Specifically, USAID’s Automated Directives System 203.3.5.1, “Data Quality Standards,” sets forth five data quality standards, including “validity” and “reliability.”

To meet the “validity” standard, data should clearly and adequately represent the intended result, with consideration given to how well the data measure the intended result.

To meet the “reliability” standard, data should reflect stable and consistent data collection processes and analysis methods over time.

General Recommendations

• Clarify indicators used to measure the impact of the Program.
• Ensure that assessment results are accurately attributed from the statistical samples to the rest of the population and that accurate projections are reflected in upcoming progress reports.

 Source: AUDIT REPORT NO. 5-367-11-003-P DECEMBER 14, 2010

The recommendations are derived from audit reports of the Office of the Inspector General. The source refers to the audit report, which is available on this site as part of the Audit Database Project: an educational tool for compliance with USAID regulations.  Please see the disclaimer of this site before using recommendations.