Difference between revisions of "Field Management"

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== Read First ==
 
== 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.
 
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.
 
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== Guidelines ==
 
== Guidelines ==

Revision as of 11:41, 5 April 2018

Read First

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.


Guidelines

Essential steps for good field management include:

Additional Resources