Data Collection Quiz 61 (10 MCQs)

This set of multiple-choice questions evaluates understanding of data collection methods, survey design, and questionnaire construction. It covers concepts such as population coverage, census methodology, data accessibility, and storage challenges. The questions also assess knowledge of data classification, categorical data, and unstructured data identification, along with systematic counting and historical research techniques.

Quiz Instructions

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1. This part consist of questionnaires, surveys, interviews, checklists or simple tests.
2. It is a collection of information that can be classified into groups.
3. The process of gathering information/data from EACH member of the population.
4. Which of the following is an example of unstructured data?
5. The process of quantifying data is referred to as .....
6. This data collection strategy makes use of books, journals, magazine, art works, songs, pictures and others to obtain common themes or construct for analysis.
7. Data for an AI project can be collected through .....
8. What kind of observation is this: 30 mL of water
9. Which challenge of big data storage is characterized by the need to make data accessible from anywhere at anytime?
10. Klay wanted to check the events during the Spanish colonial period. She went to museums and searched for books and articles. What is the data collection method used?

Frequently Asked Questions

What is the difference between qualitative and quantitative data collection?

Qualitative data collection involves gathering non-numerical data that describes qualities or characteristics, while quantitative data collection involves numerical measurement and systematic counting.

How does data classification help in data collection?

Data classification helps organize data into meaningful groups, such as categorical or numerical, which simplifies analysis and interpretation.

What are some common data collection instruments used in research?

Common data collection instruments include surveys, sensors, and document reviews, each suited to different types of data and research needs.

How does big data storage impact data accessibility?

Big data storage solutions enable anytime, anywhere access to large volumes of data, making it easier to retrieve and analyze information as needed.

What is the role of thematic analysis in qualitative data collection?

Thematic analysis is a method used to identify patterns or themes within qualitative data, aiding in the interpretation and understanding of textual information.