Topic 7: Research design: Secondary data Flashcards
What is secondary data?
Data that has been previously collected for some purpose other than the one at hand
What are the advantages of secondary data?
- Availability (Often readily and easily available instantaneously)
- Faster and cheaper to obtain
- Can eliminate activities associated with primary data collection such as data sampling and processing
- Some data is impossible/impractical for a private firm to obtain using primary methods
What are the disadvantages of secondary data collection and which questions should be asked about a secondary data set?
- Data was not designed to specifically meet the researcher’s needs
- Questions to be asked: Is the subject matter consistent with our problem definition?
- Does the data apply to our population of interest?
- Does the data have the correct time period associated with it?
- Is the data measured in the correct/appropriate unit of measurement
- Does the data cover the subject of interest in adequate detail?
Why does secondary data sometimes not adequately satisfy research needs?
- There is variation in definition of terms
- different measurement units used
- inadequate information to verify data validity
- data is too old/outdated
What are the 3 types of secondary data analysis?
- Fact-finding (seeking information about a product or identifying a market trend)
- Model building (specifying relationships between 2 or more variables)
- Data-based marketing (maintainting customer databases with their details)
What are the external sources of secondary data?
- Libraries act as distribution channels of secondary data
- The internet allows for easy digital distribution and access to lots of secondary data
- Vendors will gather lots of data and organise it together in one place as a product to sell
Who are the producers of external secondary data?
- Publishers of books and periodicals
- Government sources
- Media sources
- Trade associations (provide data for specific industries)
- commercial sources (private firms specializing in publishing useful data)
Describe the process of evaluating secondary data.
First consider whether secondary data is actually applicable by answering the following questions:
* Does the data assist in answering problem statement questions?
* Is the data of an appropriate time frame/period and also not outdated?
* Is the population of interest relevant to your study? (secondary data could have correct time frame and variables but have been done on a different population of people)
* Are the terms and variables in the data set appropriate or reworkable for your study?
* Is the unit of measurement appropriate or reworkable for your study?
* Can you access the original source of the data to check for validity?
* Is the benefit of accessing the data worth the potential cost (if any) of accessing it?
Once applicability has been established, the accuracy of the data must be considered:
* Consider the possibility of bias in the data, depending on its source. (Check original source of data if possible)
* Can accuracy of data collection method be verified?
* Is it worth the risk of using this data? If Yes, then use it.