Difference between revisions of "Data Quality Assurance Plan"

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*DIME's [http://web.worldbank.org/archive/website01542/WEB/IMAGES/SURVEY.PDF Planning for, Preparing & Monitoring Household Surveys]
 
*DIME's [http://web.worldbank.org/archive/website01542/WEB/IMAGES/SURVEY.PDF Planning for, Preparing & Monitoring Household Surveys]
 
*DIME Analytics’ [https://github.com/worldbank/DIME-Resources/blob/master/stata1-4-quality.pdf Real Time Data Quality Checks]
 
*DIME Analytics’ [https://github.com/worldbank/DIME-Resources/blob/master/stata1-4-quality.pdf Real Time Data Quality Checks]
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*DIME Analytics’ [https://github.com/worldbank/DIME-Resources/blob/master/stata2-4-quality.pdf Data Quality Assurance]
 
[[Category: Field Management ]]
 
[[Category: Field Management ]]

Revision as of 19:48, 14 May 2019

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Many things can go wrong during Primary Data Collection. The purpose of a data quality assurance plan is to think about everything that could go wrong ahead of time, and make a plan to preempt it. The plan should be shared with all impact evaluation stakeholders, including the Impact Evaluation Team and the Survey Firm before data collection starts. It is essential to delineate how data quality will be assessed and what actions will be taken when problems arise.


Guidelines

Your data quality assurance plan should include

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This article is part of the topic Field Management

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