Difference between revisions of "Field Management"

Jump to: navigation, search
 
Line 1: Line 1:
Field management is the process of planning, monitoring and overseeing  [[Primary Data Collection  | primary data collection]] activities. 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 the process of planning, monitoring and overseeing  [[Primary Data Collection  | primary data collection]] activities. Correct and careful management of fieldwork activities and field staff is essential to completing '''data collection''' on time, on [[Survey Budget|budget]], without missing observations, and at high quality. Without direct and usually intensive supervision of these critical aspects, unknown errors can enter the [[Master Dataset|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.


== Read First ==
== Read First ==
* Field management is a key piece of any evaluation; it ensures timely, consistent and accurate data collection.
* Field management is a key piece of any evaluation; it ensures timely, consistent and accurate [[Primary Data Collection|data collection]].
* Insufficient supervision of field management aspects can result into systematic errors in the dataset and biased estimators.
* Insufficient supervision of field management aspects can result into systematic errors in the [[Master Dataset|dataset]] and biased estimators.
 


== Aspects of Field Management ==
== Aspects of Field Management ==
Field management activities can be divided into three broad areas:
Field management activities can be divided into three broad areas:
* Fieldwork organization - Planning all details of fieldwork, defining how the survey will be implemented, and piloting questionnaires and field protocols.  
# '''Fieldwork organization''': planning all details of fieldwork, defining how the [[Survey Pilot|survey]] will be implemented, and [[Questionnaire Design|piloting questionnaires]], and field protocols.  
* Field staff management - Selection, training and supervision of field staff, including enumerators, contractors and [[Survey Firm | survey firms]].
# '''Field staff management''': selection, training, and supervision of field staff, including [[Enumerator Training|enumerators]], contractors and [[Survey Firm|survey firms]].
* Data Quality Assurance - Designing protocols and quality control methods to monitor ongoing data collection and ensure data consistency and quality.
# [[Data Quality Assurance Plan|Data Quality Assurance]]: designing protocols and quality control methods to [[Monitoring Data Quality|monitor]] ongoing [[Primary Data Collection|data collection]] and ensure data consistency and quality.
   
   
== Guidelines ==
== Guidelines ==
The following steps are essential to ensure good field management:  
The following steps are essential to ensure good field management:  
* Developing clear, detailed [[Survey Protocols]]
# Developing clear, detailed [[Survey Protocols]]
* Conducting a comprehensive [[Survey Pilot]]
# Conducting a comprehensive [[Survey Pilot]], selecting field staff, and [[Enumerator Training | training enumerators]]
* Selecting field staff and [[Enumerator Training | training enumerators]]
# Creating a [[Data Quality Assurance Plan]]
* Creating a [[Data Quality Assurance Plan]]
# Conducting [[Back Checks]]
* Conducting [[Back Checks]]
# [[Monitoring Data Quality]] while [[Primary Data Collection|data collection]] is ongoing
* [[Monitoring Data Quality]] while data collection is ongoing


== Additional Resources ==
== Additional Resources ==
*DIME's [http://web.worldbank.org/archive/website01542/WEB/IMAGES/SURVEY.PDF Planning for, Preparing & Monitoring Household Surveys]
*DIME Analytics (World Bank), [http://web.worldbank.org/archive/website01542/WEB/IMAGES/SURVEY.PDF Planning for, Preparing, and  Monitoring Household Surveys]
* [[Preparing for Data Collection]]
* [[Preparing for Data Collection]]
* [[Preparing for the survey checklist]]
* [[Preparing for the survey checklist]]

Latest revision as of 17:01, 8 August 2023

Field management is the process of planning, monitoring and overseeing primary data collection activities. 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.

Read First

  • 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.

Aspects of Field Management

Field management activities can be divided into three broad areas:

  1. Fieldwork organization: planning all details of fieldwork, defining how the survey will be implemented, and piloting questionnaires, and field protocols.
  2. Field staff management: selection, training, and supervision of field staff, including enumerators, contractors and survey firms.
  3. Data Quality Assurance: designing protocols and quality control methods to monitor ongoing data collection and ensure data consistency and quality.

Guidelines

The following steps are essential to ensure good field management:

  1. Developing clear, detailed Survey Protocols
  2. Conducting a comprehensive Survey Pilot, selecting field staff, and training enumerators
  3. Creating a Data Quality Assurance Plan
  4. Conducting Back Checks
  5. Monitoring Data Quality while data collection is ongoing

Additional Resources