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Secondary analysis is the practice of using secondary data in research.As a research method, it saves both time and money and avoids unnecessary duplication of research effort.
Secondary qualitative data is usually found in the form of social artifacts, like newspapers, blogs, diaries, letters, and emails, among other things.
Such data is a rich source of information about individuals in society and can provide a great deal of context and detail to sociological analysis.
She should also consider whether the data must be adapted or adjusted in some way prior to her conducting her own analysis.
Qualitative data is usually created under known circumstances by named individuals for a particular purpose.
Secondary analysis is usually contrasted with primary analysis, which is the analysis of primary data independently collected by a researcher.
Unlike primary data, which is collected by a researcher herself in order to fulfill a particular research objective, secondary data is data that was collected by other researchers who likely had different research objectives. and around the world collect data that they make available for secondary analysis.
In contrast to primary research, secondary research (often also simply called “desk research”) uses only existing secondary data – information collected for other projects or purposes.
Secondary data can be both qualitative and quantitative, including market research reports, trend analyses, customer data, academic research, and so on.
Secondary quantitative data is often available from official government sources and trusted research organizations. While this information was collected for a wide range of purposes including budget development, policy planning, and city planning, among others, it can also be used as a tool for sociological research.
By reviewing and analyzing numerical data, sociologists can often uncover unnoticed patterns of human behavior and large-scale trends within society.