Secondary analysis refers to
the use of existing research data to find answer to a question that was different from the original work
(2). Secondary data can be large scale surveys or data collected as part of personal research. … Data sharing, compiling and storage have become much faster and easier.
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 secondary data analysis method in research?
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 is a secondary analysis?
Secondary analysis involves
the use of existing data, collected for the purposes of a prior study
, in order to pursue a research interest which is distinct from that of the original work; this may be a new research question or an alternative perspective on the original question (Hinds, Vogel and Clarke-Steffen 1997, …
What is the meaning 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.
What is an example of 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 is an example of secondary research?
Common examples of secondary research include
textbooks, encyclopedias, news articles, review articles, and meta analyses
. When conducting secondary research, authors may draw data from published academic papers, government documents, statistical databases, and historical records.
What are examples of secondary data?
Secondary data means data collected by someone else earlier.
Surveys, observations, experiments, questionnaire, personal interview
, etc. Government publications, websites, books, journal articles, internal records etc.
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.
How do you Analyse a secondary source?
- Who is the author? …
- Was the book/ journal published by a scholarly publisher?
- What is the purpose of the text or motive for writing it?
- Does the writer have an obvious bias?
- Does the book/ article have an extensive bibliography?
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 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.
Is secondary data analysis qualitative?
Secondary analysis of qualitative data is
the use of existing data to find answers to research questions that differ from the questions asked
in the original research (Hinds et al., 1997). … Making existing primary datasets available for secondary analysis can facilitate training for novice researchers.
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.
What are the five advantages of secondary data?
- Ease of access. The secondary data sources are very easy to access. …
- Low cost or free. …
- Time-saving. …
- Allow you to generate new insights from previous analysis. …
- Longitudinal analysis. …
- Anyone can collect the data. …
- A huge amount of secondary data with a wide variety of sources.
What is the importance of secondary data?
Using secondary data might not seem as exciting as collecting original survey data or scraping the internet to understand online behaviors, but it should form the core of any research. Secondary data
lets you build on existing research
, which leads to better results, and saves time and money.
