Difference between revisions of "Field Management"
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== Read First ==
== Read First ==
Revision as of 09:33, 11 February 2020
Field management is the process of planning, monitoring and overseeing primary data collection. Correct and careful management of fieldwork activities and field staff is essential to completing data collection on time, on budget, without missing observations, and at high quality. Without direct (and usually intensive) supervision of these critical aspects, 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 interventions.
- 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:
- Developing clear, detailed Survey Protocols
- Creating a Data Quality Assurance Plan
- Conducting Back Checks
- Monitoring Data Quality while data collection is ongoing
- DIME's Planning for, Preparing & Monitoring Household Surveys
- Enumerator Training
- Preparing for Data Collection
- Preparing for the survey checklist
- Random Audio Audits
- Checklist: Preparing for a Survey Pilot
- Field Coordinator
- Piloting Survey Protocols
- Structuring a Survey Pilot
- Survey Budget
- Survey Firm
- Survey Firm Procurement
- Survey Firm TOR
- Survey Pilot
- Survey Pilot Participants
- Survey Protocols
- Timeline of Survey Pilot
- Training Guidelines: Content and Structure