This week we have been asked to discuss one of the potential research methods that we can choose.
Divided into teams we have topics to discuss under the following headings:
Secondary Research
- What is it ? (Short description of how it works)
- What kinds of questions/problems might it be useful for?
- How could it be used in IT research (try to think of an example)?
- What are the strengths of the approach?
- What are the weaknesses of the approach?
What is Secondary Research?
To define Secondary research we first need to understand what is primary research. Primary research involves the generation of data, it is typically original research and involves the collection of data and its analysis by the researcher who conducts the research and collects the information.
Secondary research is the re-analysis of data collected in a primary research study, either using different statistical methods but often to answer a different question to the original primary research.
There are similarities to Meta-Analysis Research Methods, both use primary sources of data but with different outcomes. A meta-analysis usually evaluates and collates the result of numerous primary research into the same question and produces a type of ‘Summary’ of all the primary research, where secondary research is usually answering a different question to the primary research.
In this case the data collection is not the responsibility of the researcher, the researcher is using existing, previously collected and published data. i.e data from primary research.
Secondary research is often the first step in a primary research study. Has the question already been studied in previous primary research? We want to prevent the re-discovery of what is already known.
The growth of the web and databases has now provided virtually unlimited access to primary sources of data.
Key Differences between Primary Research and Secondary Research
Primary Research | Secondary Research |
Research is conducted first hand to obtain data. Researcher “owns” the data collected. | Research is based on data collected from previous researches. |
Primary research is based on raw data. | Secondary research is based on tried and tested data which is previously analyzed and filtered. |
The data collected fits the needs of a researcher, it is customized. Data is collected based on the absolute needs of organizations or businesses. | Data may or may not be according to the requirement of a researcher. |
Researcher is deeply involved in research to collect data in primary research. | As opposed to primary research, secondary research is fast and easy. It aims at gaining a broader understanding of subject matter. |
Primary research is an expensive process and consumes a lot of time to collect and analyze data. | Secondary research is a quick process as data is already available. Researcher should know where to explore to get most appropriate data. |
www.questionpro.com/blog/secondary-research/
What type of questions/problems might it be useful for?
Anything really, any question that can be asked based on the available data already collected. Any questions/problems that exist for which an answer can be extrapolated from previous existing data.
How can it be used in IT research?
An example of use in IT would be researching how the population accesses the internet. The government’s already collected census data could be analyzed to see percentages of population with fibre/copper/satellite connection to the internet.
Search engines and social media are massive collectors of data, this data is bought and used by other IT companies to target marketing and advertising.
Advantages/Strengths of Secondary Research
- the data is already available for analysis
- less expense
- less time consuming
- the primary data has often been reviewed by peers
Disadvantages/Weakness of Secondary Research
- the data is by definition old, it may not be up to date
- the credibility of the data must be carefully evaluated, is it believable and valid.
- quality of secondary research is dependent on and may be lower than primary research
- the data was analyzed for a purpose not necessarily the same purpose as the secondary research, this could affect the quality