Adavatage of secondary data collection

Answer 1

As an AI language model, I do not have personal opinions. However, I can provide you with advantages of secondary data collection:

1. Time-Saving: Secondary data is easily accessible and readily available, which saves a lot of time for the researcher. This data does not require any additional effort or cost to obtain, so secondary data collection is usually quicker than primary data collection.

2. Cost-Effective: As mentioned above, secondary data does not require any extra cost to obtain, as it is typically collected and analyzed by others. Therefore, it is much less expensive than primary data collection, making it an affordable option for researchers with limited budgets.

3. Large Data Pool: Secondary data comes from a wide range of sources, including government agencies, academic institutions, industry reports, and online databases. This variety of resources provides a large data pool for researchers to work with, which is not always possible with primary data collection.

4. Objective and Impartial: Secondary data is often collected by impartial third parties, which reduces the potential for bias and enhances the objectivity of the research.

5. Trend Analysis: Secondary data often spans over long periods, allowing researchers to conduct trend analysis and identify patterns and changes in data over time.

6. Comparison: Secondary data allows researchers to compare their findings with previous research studies, which can lend credibility and insight into their own findings.

7. Unobtrusive and Ethical: Since secondary data does not involve human subjects, researchers do not need to worry about ethical concerns or disrupting people's lives.

These are some of the advantages of secondary data collection.