In a nutshell, secondary data is any information that was collected by someone other than the person, company, or party analyzing or using the data. This contrasts with primary data, which is data that is collected by the person conducting the investigation or research.
The collection of secondary data helps to save time as there is a lot of quantitative data that might fall into a dense variety of categories and can therefore be used by many different companies in various industries. Because of these collection methods the information, which would be the same or consistent among all of these parties, can be more efficiently used to analyze and reach conclusions.
Some of the most common sources of quantitative secondary data are:
Censuses
Housing records
Social security records
Electoral statistics
Some common sources of qualitative secondary data are:
Semi-structured and structured interviews
Focus groups transcripts
Field notes
Observation records
Personal research-related documentation
Obviously, in terms of quantitative secondary data, a census will circulate through a community in order to answer several questions regarding population, industrial, and social preferences or progression. Therefore, the same data could apply to law-making, public zoning, and other community-related decisions.
In terms of qualitative secondary data, a focus group can help to determine how the average person in a community feels about a particular product or idea. This helps industries make better decisions about what types of things consumers want and are willing to pay for. Similarly, field notes that a scientist might take observing animals, for example, could benefit both an animal behavioral psychologist as well as a veterinarian or biologist.
The collection of secondary data helps to save time as there is a lot of quantitative data that might fall into a dense variety of categories and can therefore be used by many different companies in various industries. Because of these collection methods the information, which would be the same or consistent among all of these parties, can be more efficiently used to analyze and reach conclusions.
Some of the most common sources of quantitative secondary data are:
Censuses
Housing records
Social security records
Electoral statistics
Some common sources of qualitative secondary data are:
Semi-structured and structured interviews
Focus groups transcripts
Field notes
Observation records
Personal research-related documentation
Obviously, in terms of quantitative secondary data, a census will circulate through a community in order to answer several questions regarding population, industrial, and social preferences or progression. Therefore, the same data could apply to law-making, public zoning, and other community-related decisions.
In terms of qualitative secondary data, a focus group can help to determine how the average person in a community feels about a particular product or idea. This helps industries make better decisions about what types of things consumers want and are willing to pay for. Similarly, field notes that a scientist might take observing animals, for example, could benefit both an animal behavioral psychologist as well as a veterinarian or biologist.