Difference between revisions of "Primary Data Collection"

Jump to: navigation, search
Line 1: Line 1:
 
<onlyinclude>
 
<onlyinclude>
Primary data collection is the process of gathering data through surveys, interviews or experiments. A typical example of primary data is household surveys. Researchers can personally direct primary data collection to ensure that data meets the standards of [[Monitoring Data Quality | quality]], availability, [[Power Calculations in Stata | statistical power]] and [[Sampling & Power Calculations | sampling]] required for a particular research question. With globally increasing access to survey tools and [[Software Tools | software]], field manuals, and specialized [[Survey Firm | survey firms]], primary data has become the dominant source for empirical inquiry in development economics.
+
'''Primary data collection''' is the process of gathering data through surveys, interviews or experiments. A typical example of primary data is household surveys. Researchers can personally direct primary data collection to ensure that data meets the standards of [[Monitoring Data Quality | quality]], availability, [[Power Calculations in Stata | statistical power]] and [[Sampling & Power Calculations | sampling]] required for a particular research question. With globally increasing access to [[Software Tools |survey tools]], field manuals, and specialized [[Survey Firm | survey firms]], primary data has become the dominant source for empirical inquiry in development economics.
 
</onlyinclude>
 
</onlyinclude>
 
== Read First ==
 
== Read First ==

Revision as of 19:02, 19 March 2020

Primary data collection is the process of gathering data through surveys, interviews or experiments. A typical example of primary data is household surveys. Researchers can personally direct primary data collection to ensure that data meets the standards of quality, availability, statistical power and sampling required for a particular research question. With globally increasing access to survey tools, field manuals, and specialized survey firms, primary data has become the dominant source for empirical inquiry in development economics.

Read First

  • Primary data collection typically requires a great deal of foresight, planning and coordination.
  • DIME's Research Standards provide a comprehensive checklist to ensure that collection and handling of research data are in line with global best-practices.
  • The large majority of primary data comes from personal interviews. Depending on the research, these may take the form of household surveys, business (firm) surveys, or agricultural (farm) surveys.
  • iefieldkit is a Stata package for primary data collection. It currently supports three major components of that workflow: survey design; survey completion; and data cleaning and survey harmonization.

Guidelines

The following are critical steps in preparing for and conducting primary data collection:

Back to Parent

This article is part of the topic Primary Data Collection

Additional Resources

Oxfam provides a detailed case study of how to use electronic data collection (SurveyCTO) combined with Stata code to improve data quality in the field.