Difference between revisions of "Field Management"

Revision as of 09:32, 11 February 2020

Field management is a key piece of any evaluation; it ensures timely, consistent and accurate data collection.
Insufficient supervision of field management aspects can result into systematic errors in the dataset and biased estimators.

Essential steps for good field management include:

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 == Read First ==
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-Careful management of field staff, contractors, and survey firms is essential to completing data collection on time, on budget, without missing observations, and at high quality. Without direct (and usually intensive) oversight of this critical process, unknown errors can enter the dataset. If these errors are made systematically by the data collection team, they can induce biases of unknown size and direction into the estimates of program effects for even the best-executed intervention.
+* Field management is a key piece of any evaluation; it ensures timely, consistent and accurate data collection.
+* Insufficient supervision of field management aspects can result into systematic errors in the dataset and biased estimators.
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