Data Collection and Analysis Quiz

Data Collection and Analysis Quiz

Created by
@TidyRationality

Questions and Answers

What are the two classifications of research data based on the source of collection?

The two classifications of research data based on the source of collection are primary data and secondary data.

Provide examples of secondary data sources mentioned in the text.

Examples of secondary data sources mentioned in the text include government or semi-government publications, earlier research and published technical research papers, historical and personal records, mass media and newspapers, and the internet.

What are the benefits and drawbacks of secondary data?

The benefits of secondary data include being cost-effective and time-saving, while the drawbacks may include lack of specificity and relevance to the current research, as well as potential reliability and validity issues.

Why is the acquisition of primary data considered expensive?

<p>The acquisition of primary data is considered expensive due to the costs associated with developing instruments for research, conducting interviews, and using measuring instruments.</p> Signup and view all the answers

What are the benefits and drawbacks of primary data?

<p>The benefits of primary data include specificity and suitability for the goal and objective of research, while the drawbacks include being costly, proprietary, and time-consuming to collect.</p> Signup and view all the answers

Explain the classification of research data based on the source of collection.

<p>Research data can be classified as primary data, which is collected directly from sources such as measuring instruments, interviews, and questionnaires, and secondary data, which is collected from existing sources like government publications, earlier research papers, historical records, mass media, and the internet.</p> Signup and view all the answers

What are the benefits and drawbacks of primary data?

<p>The benefits of primary data include specificity to the research goal and objective, as well as being proprietary in nature. However, the drawbacks include being costly to acquire and time-consuming to collect.</p> Signup and view all the answers

What are the benefits and drawbacks of secondary data?

<p>The benefits of secondary data include being cost-effective and time-saving. On the other hand, the drawbacks may include potential lack of specificity and relevance to the current research objective.</p> Signup and view all the answers

List some examples of secondary data sources mentioned in the text.

<p>Government or semi-government publications, earlier research and published technical research papers, historical and personal records, mass media and newspapers, and the internet.</p> Signup and view all the answers

Why are the benefits and drawbacks of primary and secondary data considered to be the benefits and drawbacks of research data?

<p>The benefits and drawbacks of primary and secondary data are considered to be the benefits and drawbacks of research data because research data consist of both primary and secondary data. Therefore, their respective advantages and disadvantages contribute to the overall benefits and drawbacks of research data.</p> Signup and view all the answers

Study Notes

Classification of Research Data

  • Research data is classified into two categories based on the source of collection: primary data and secondary data.

Primary Data

  • Collected by the researcher themselves through experiments, surveys, or observations.
  • Benefits:
  • Tailored to meet specific research needs
  • Higher level of control over data collection
  • More accurate and reliable data
  • Drawbacks:
  • Expensive to collect due to the need for resources, time, and personnel
  • Time-consuming

Secondary Data

  • Collected from existing sources such as publications, databases, and websites.
  • Examples of secondary data sources:
  • Government reports
  • Academic journals
  • Online databases
  • Social media platforms
  • Benefits:
  • Cost-effective
  • Time-saving
  • Already collected and readily available
  • Drawbacks:
  • May not be tailored to specific research needs
  • Data quality may vary
  • May be outdated

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