Secondary data analysis refers to the analysis of existing data collected by others . Secondary analysis affords researchers the opportunity to investigate research questions using large-scale data sets that are often inclusive of under-represented groups, while saving time and resources.
What is secondary data analysis research method?
Secondary data analysis involves a researcher using the information that someone else has gathered for his or her own purposes . Researchers leverage secondary data analysis in an attempt to answer a new research question, or to examine an alternative perspective on the original question of a previous study.
What do you mean by secondary analysis?
Secondary analysis is the re-analysis of either qualitative or quantitative data already collected in a previous study , by a different researcher normally wishing to address a new research question. ... Data-sets: suitability and re-defining measurements for new concepts.
What type of research is secondary data analysis?
Secondary analysis is a research method that involves analyzing data collected by someone else . A great deal of secondary data resources and data sets are available for sociological research, many of which are public and easily accessible. There are both pros and cons to using secondary data.
What is an example of a secondary analysis?
Secondary data is information that is obtained by someone other than the primary researcher. ... Examples include government census reports, other governmental databases, and administrative data . Researchers are often drawn to the time and cost saving benefits of using secondary data.
What are the different types of secondary analysis?
Types of secondary data
The two most common types of secondary research are, as with all types of data, quantitative and qualitative . Secondary research can, therefore, be conducted by using either quantitative or qualitative data sets.
What is the purpose of secondary data analysis?
Secondary data analysis refers to the analysis of existing data collected by others. Secondary analysis affords researchers the opportunity to investigate research questions using large-scale data sets that are often inclusive of under-represented groups , while saving time and resources.
How do you write a secondary data analysis?
Secondary data analysis and review involves collecting and analyzing a vast array of information. To help you stay focused, your first step should be to develop a statement of purpose – a detailed definition of the purpose of your research – and a research design.
Is secondary data qualitative or quantitative?
Secondary data can include both quantitative and qualitative sources . The official statistics are an example of secondary data which is quantitative. An example of secondary data which is qualitative would be somebody’s diary.
What are the types of secondary data?
There are two common types of secondary data: Internal data and External data . Internal data is the information that has been stored or organized by the organization itself. External data is the data organized or collected by someone else.
What are the pros and cons of secondary research?
Pros: As it is largely based on already existing data derived from previous research, secondary research can be conducted more quickly and at a lesser cost . Cons: A major disadvantage of secondary research is that the researcher may have difficulty obtaining information specific to his or her needs.
Why is secondary data better than primary?
Secondary research is worthwhile because it is generally more cost-effective than primary research and it provides a foundation for any project. Evaluating the current landscape of available information before moving on to primary research methods can save time and money that may be better spent elsewhere.
Why do we use secondary data in research?
The advantages of using secondary data are: The fact that much information exists in documented form – whether deliberately processed or not – means that such information cannot be ignored by the researcher, and generally saves time and effort collecting data which would otherwise have to be collected directly.
What are the advantages of secondary analysis?
The biggest advantage of using secondary data is that it can be more economical . Someone else has already collected the data, so the researcher does not have to devote money, time, energy and resources to this phase of research.
What are 2 examples of secondary data?
- information collected through censuses or government departments like housing, social security, electoral statistics, tax records.
- internet searches or libraries.
- GPS, remote sensing.
- km progress reports.
Which of the following is an example of secondary data analysis research?
Your company collects and analyzes data from the U.S. census is the correct answer. Explanation: Your company collects and analyzes data from the U.S. census is an example of secondary data.
