Collection of Data - Flash Cards
This chapter explains the importance of collecting data, the types of data sources, and methods of data collection.
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What is data?
Data refers to facts, figures, and information collected for analysis. In economics, it is used to understand and explain various phenomena.
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Why do we collect data?
Data collection aims to provide evidence for analyzing and solving problems, informing decisions in economics.
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What is primary data?
Primary data is firsthand information collected directly by a researcher through surveys, interviews, or experiments.
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What is secondary data?
Secondary data is data collected and processed by another agency, such as reports, books, or websites.
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What is a census survey?
A census survey includes every element of the population, providing comprehensive demographic data.
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What is a sample survey?
A sample survey collects data from a representative subset of the population to draw conclusions about the whole.
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What is random sampling?
Random sampling selects individuals randomly, ensuring every member of the population has an equal chance of being chosen.
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What is non-random sampling?
Non-random sampling uses subjective judgment to select samples, where not all individuals have an equal chance of selection.
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What are the types of surveys?
Surveys can be personal interviews, mailing questionnaires, or telephone interviews, each having distinct advantages and disadvantages.
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What are the benefits of personal interviews?
They allow for direct interaction, clarifying doubts, and collecting detailed information, though they can be expensive and time-consuming.
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What are the advantages of mail surveys?
Mail surveys are inexpensive, can reach remote populations, and reduce interviewer bias, but may have low response rates.
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What are the pros of telephone interviews?
They are quicker and cheaper than personal interviews, enabling real-time assistance but suffer from limited access.
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What is a pilot survey?
A pilot survey tests the questionnaire with a small group to identify issues before full-scale data collection.
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What is used to gather data?
Common instruments include questionnaires, which may be structured (closed-ended) or unstructured (open-ended).
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What common mistakes can occur?
Mistakes include unclear questions, double negatives, leading questions, and ambiguous wording that can bias responses.
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What is sampling error?
Sampling error is the difference between the sample estimate and the actual population parameter.
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What is non-sampling error?
Non-sampling errors arise from systematic issues in data collection or processing, such as response biases or inaccuracies.
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What is the role of census data?
Census data provides comprehensive demographic information necessary for planning and policymaking in economics.
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What does NSS stand for?
NSS stands for National Sample Survey, which conducts nationwide surveys on socio-economic issues to gather reliable data.
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