Preparing for Field Data Collection

Preparing for field data collection involves preparing clear protocols and guidelines for each component of collecting data using field surveys. The main components of field data collection are timelines, IRB approvals, instrument design, coding surveys, and enumerator training. Each of these components must be carried out based on best practices in field data collection. Therefore, the research team must establish clear channels for regular communication among all participants- principal investigators (PIs), field coordinators (FCs), survey firm, government agencies, and enumerators.

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• The research team can either conduct the survey directly, or indirectly through a survey firm.
• Spending more time on the preparation leads to better quality data.
• Plan for field data collection at least 6 months in advance of the survey launch.
• Field data can be collected using Open Data Kit (ODK)-based tools like CAPI and CAFE.
• With the availability of specialized survey firms, and standardized field management practices, it is important for researchers to follow best practices to collect field data.

Survey Timeline

Preparing the timeline for a field survey involves allocating sufficient time for each stage of the survey process - design, pilot, translation, programming, and enumerator training.

The research team should keep the following points in mind when creating a timeline for fieldwork(field data collection):

• Timing of data collection. Make sure that data collection happens during the relevant time of the year. For example, data on seasonal farm yields in a region should be collected after the harvesting season.
• Plan backwards. It often helps to plan backwards from the end date of the survey, and decide the start date based on this. However, include some buffer (extra time) in the timeline for delays that might come up in the data collection process. For example, if a lot of the respondents are not available initially, the interviewers may have to visit them on another day.
• Keep aside more time for panel surveys. Always allow more time for surveys that involve panel data, that is, when the same data is collected several times from the same person or area. This is because tracking participants from earlier survey rounds can take some time. An example of such a case is study that seeks to assess the impact of a micro-finance program on farm yields every 6 months for 3 years in a given area.

IRB Approvals

An institutional review board (IRB) is a an organisation that reviews, approves, disapproves, or recommends changes in surveys that involve human subjects (target population). IRB approvals are important to protect the rights of human subjects.

The research team must seek approval at each of the following stages:

• Initial approval. Seek approval at the beginning of the study, before any research activity involving human participants begins.
• Amendment approval. Seek approval before changing any element of the study including design, protocols, or even informed consent norms.
• Continuing approval. Seek continuing approval every year, even if no element of the survey has changed. This is because risks to participants may evolve through time. Therefore the research team must report on the progress of the study which received the initial or amendment approval.

Protocols

Survey Protocols define how the survey will be implemented, and ensure consistent results across field teams.

Examples include: respondent selection, criteria for dropping and replacing sampling units, guidance on respondent tracking (especially for follow-up surveys), and any other issues related to survey implementation.

All protocols should be drafted, piloted, and then clearly written out and included in the Enumerator Manual.

Develop survey budget

Why is this important, if survey firms will submit their own financial proposals?

• Determine if available funds are sufficient, or fundraising is needed
• Get realistic sense of costs per line item, which can help in contract negotiation

See Survey Budget for details on what should be included.

Composition and Number of Field Teams

The composition and the number of field teams in a survey depend on a lot of variables. Time constraints are typically the major determinant of the number of field teams that are required. Other key determinants include:

• Expected interview duration (and closely related, expected number of interviews per enumerator per day)
• Number of interviews per cluster (to determine number of interviewers per cluster)
• Cluster locations (how far do enumerators need to travel between clusters? is it possible to cover multiple clusters in 1 day?)
• Transportation plans (how much of the day will enumerators spend in transit vs. completing interviews?)

Note that it is recommended to plan for a team to spend more than 1 day in a cluster, to allow for re-visits and follow-ups. 1 day per cluster requires very thorough advance scheduling of interviews, and may require a transport-heavy follow-up period at the end of the survey.

Quality control becomes harder as the size of each field team increases. Recommendation is for each field team to be composed of 4-6 enumerators and 1 supervisor (along with a scrutinizer if PAPI and data entry clerk if CAFE.

Field Team Roles & Responsibilities

The roles of various team members during data collection as are follows:

• Enumerator - Conduct household interviews
• Supervisor - Manage teams of enumerators, introduce survey teams, check all surveys for completeness, keep log of interviews completed, could do back check surveys
• Scrutinizer (PAPI) - read through questionnaire in detail to catch errors or inconsistencies that need to be resolved. After approval, send on to data entry team.
• Back-checker - Administer back-check surveys
• Research Analyst (CAPI) - develop electronic data collection template, export and review data on daily basis, ensure data matches field logbooks.
• Data entry coordinator (PAPI) - develop data entry forms, coordinate data entry team, export and review data on daily basis.
• Data entry clerk (PAPI) - enter data from paper surveys into the electronic template
• Field Manager - plan and oversee field work, manage all field teams, handle logistics and budget, primary liaison with field coordinator and research team.

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Additional Resources

• Brief from Oxfam: Planning Survey Research
• DIME's Planning for, Preparing & Monitoring Household Surveys
• DIME Analytics’ guidelines on preparing for data collection
• Guidelines and tools for Preparing for Data Collection from the World Bank's Results Based Financing Impact Evaluation Toolkit