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Collecting High-Quality Data

Collecting High-Quality Data. Part of the M&E Plan. What is Data Quality ?. Actual Results. Reported Results. ?. Data Quality: How well our M&E data “tell the true story.”.

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Collecting High-Quality Data

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  1. Collecting High-Quality Data

  2. Part of the M&E Plan

  3. What is Data Quality? ActualResults Reported Results ? Data Quality: How well our M&E data “tell the true story.” Adapted from: http://www.cpc.unc.edu/measure presentation by Win Brown, USAID/South Africa, School of Health Systems and Public Health, Monitoring and evaluation of HIV/AIDS Programs, Data Quality; March 2, 2011.

  4. Elements of Data Quality Adapted from: http://www.cpc.unc.edu/measure presentation by Win Brown, USAID/South Africa, School of Health Systems and Public Health, Monitoring and evaluation of HIV/AIDS Programs, Data Quality; March 2, 2011.

  5. Validity and Reliability: Hitting the Target NOT Valid NOTReliable Reliable but NOT valid Reliable AND Valid!!! X X X X X X X X X X XXX XXXX XXX XXX XXXX XXX Adapted from: http://www.cpc.unc.edu/measure presentation by Win Brown, USAID/South Africa, School of Health Systems and Public Health, Monitoring and evaluation of HIV/AIDS Programs, Data Quality; March 2, 2011.

  6. Precision Which indicator description will yield the most precise result?

  7. Completeness • Often related to: • ease of collecting and reporting data • data sources • training

  8. Timeliness • Are we meeting internal and external deadlines? • Communicate expectations clearly. • Offer support to collect/analyze where needed (budget?). • Are we analyzing results often enough to be useful for program management? • The sooner we know about a problem, the sooner we can fix it!

  9. Integrity • Often difficult and sensitive topic. • Routine verification from the startcan help avoid bias of any kind. • A partner submits perfect reports every month on time and meets or exceeds targets. • A partner submits reports with a few errors every month, sometimes 1-2 days late; usually meets or comes close to targets. • Which data would you verify and why?

  10. Data Quality Plans

  11. Helpful ResourcesMEASURE Evaluation Project Data Quality http://www.cpc.unc.edu/measure/tools/monitoring-evaluation-systems/data-quality-assurance-tools Data Use http://www.cpc.unc.edu/measure/our-work/data-demand-and-use

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