Topic 7: Research design: Secondary data Flashcards
(8 cards)
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- data is too old/outdated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* Is the data of an appropriate time frame/period and also not outdated?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.