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== Read First ==
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Primary data is directly generated by the researcher. Household surveys are the prototypical example of primary data collection. Unlike [[Secondary Data Sources]], primary data collection can be personally directed by the researcher to ensure it meets the standards of quality, availability, statistical power, and sampling required for a particular research inquiry. With globally increasing access to survey tools such as software, field manuals, and specialized firms, data collected and owned by the researcher has become the dominant method of empirical inquiry in development economics.
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== Read First ==
== Types of primary data  ==
* include here key points you want to make sure all readers understand
The most common types of primary data are personal interviews. Depending on the research, these may take the form of household surveys, business (firm) surveys, or agricultural (farm) surveys.


== Modes of primary data collection ==
Surveys can be conducted on paper ([[Pen-and-Paper Personal Interviews (PAPI)]]) or electronically ([[Computer-Assisted Personal Interviews (CAPI)]]), or a combination of the two ([[Computer-Assisted Field Entry (CAFE)]]).


== Guidelines ==
== Preparing for primary data collection ==
* organize information on the topic into subsections. for each subsection, include a brief description / overview, with links to articles that provide details
===Subsection 1===
===Subsection 2===
===Subsection 3===


== Back to Parent ==
This article is part of the topic [[*topic name, as listed on main page*]]




== Additional Resources ==
== Additional Resources ==
* list here other articles related to this topic, with a brief description and link
[[Category: *category name* ]]


== Introduction==


Primary data collection is the practice of direct generation of research data by the investigator. Household surveys are the prototypical example of primary data collection. Contrasted with [[Secondary Data Sources]], primary data collection can be personally directed by the researcher to ensure it meets the standards of quality, availability, and representativeness required for a particular research inquiry. With globally increasing access to survey tools such as software, field manuals, and specialized firms, data collected and owned by the researcher has become the dominant method of empirical inquiry in development economics.
[[Category: Primary Data Collection ]]

Revision as of 14:57, 9 February 2018

Read First

Primary data is directly generated by the researcher. Household surveys are the prototypical example of primary data collection. Unlike Secondary Data Sources, primary data collection can be personally directed by the researcher to ensure it meets the standards of quality, availability, statistical power, and sampling required for a particular research inquiry. With globally increasing access to survey tools such as software, field manuals, and specialized firms, data collected and owned by the researcher has become the dominant method of empirical inquiry in development economics.


Types of primary data

The most common types of primary data are personal interviews. Depending on the research, these may take the form of household surveys, business (firm) surveys, or agricultural (farm) surveys.

Modes of primary data collection

Surveys can be conducted on paper (Pen-and-Paper Personal Interviews (PAPI)) or electronically (Computer-Assisted Personal Interviews (CAPI)), or a combination of the two (Computer-Assisted Field Entry (CAFE)).

Preparing for primary data collection

Additional Resources

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