Data Collection Quiz 19 (10 MCQs)

This set of multiple-choice questions evaluates understanding of data collection methods, including census, surveys, and tsunami detection systems. It covers skills such as logical reasoning, qualitative data collection, and the use of aerial photography and water pressure sensors. The questions assess the ability to identify appropriate research methods, analyze data, and understand the limitations of various data collection techniques.

Quiz Instructions

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1. Advantages of this type of data collection include relatively low cost, the elimination of interviewers and field supervisors, and centralized control. But it suffers from at least two significant limitations:slow and low response rates.
2. A ..... can be a person, document, or method of research used to discover the truth of a story.
3. Interviewing all members of a given population is called
4. What data does a tsunami buoy collect?
5. You could use this technique to evaluate the preferences of a group of people when planning to improve your product (example: new image, new flavor, new brand)
6. A researcher asks users to describe their experience using a new app. What type of question is this?
7. Which type of data can be easily organised in a database or spreadsheet format?
8. Organized rows and columns used to record Raw data.
9. The following are data-gathering procedure among audience, except
10. Scientists can use aerial photos to collect data to determine the biodiversity index of an area.

Frequently Asked Questions

What is data collection?

Data collection is the process of gathering and measuring information on variables of interest, often for the purpose of answering research questions or testing hypotheses.

What are some common methods of data collection?

Common methods of data collection include surveys, interviews, observations, and experiments. Each method has its own advantages and is suited to different types of research questions.

How does data organization help in research?

Data organization helps in research by making it easier to analyze and interpret the collected data. It involves arranging data in a structured format, such as spreadsheets or databases, to facilitate efficient processing and analysis.

What is the difference between qualitative and quantitative data?

Qualitative data describes qualities or characteristics and is often non-numeric, such as text or images. Quantitative data, on the other hand, consists of numerical values that can be measured and analyzed statistically.

Why is response rate important in surveys?

Response rate is important in surveys because it affects the reliability and validity of the results. A higher response rate generally means more representative data, reducing the risk of bias and improving the accuracy of the findings.