Data Collection

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What is data collection?

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Data collection is the systematic process of gathering, measuring, and analyzing information from various sources to obtain insights and support decision-making.

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What is primary data?

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Primary data is original data collected directly from the source for a specific research purpose, such as through surveys, interviews, or experiments.

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What is secondary data?

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Secondary data is information that has already been collected and published by others, such as books, articles, and reports.

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What is a biased question?

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A biased question is one that leads respondents towards a particular answer, often by using loaded language or assumptions.

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What is a fair question?

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A fair question is neutral and allows respondents to answer freely without leading them to a specific response.

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What are examples of primary data collection methods?

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Examples include questionnaires, interviews, focus groups, and observations.

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What are examples of secondary data sources?

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Examples include statistical reports, government publications, academic journals, and online databases.

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Why is it important to identify bias in survey questions?

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Identifying bias is crucial to ensure that the data collected is valid, reliable, and accurately reflects the opinions or behaviors of the respondents.

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How can you ensure that a survey question is fair?

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To ensure fairness, use neutral language, avoid assumptions, and provide balanced answer options.

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What is the difference between qualitative and quantitative data?

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Qualitative data is descriptive and conceptual, while quantitative data is numerical and can be measured.