Quantitative Research Quiz 42 (10 MCQs)

This set of multiple-choice questions evaluates understanding of quantitative research methods, including data collection, statistical analysis, and numerical data. It covers deductive reasoning, empirical testing, and the distinction between qualitative and quantitative research. Concepts such as numerical data, countable values, and time tracking are also assessed.

Quiz Instructions

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1. Often starts with a theory or conceptual model and researchers make predictions about phenomena in the real world based upon the theory (deductive reasoning) and the predictions are tested
2. Which type of data is structured and based on numbers and scales?
3. All of the following uses quantitative research except .....
4. Keeping track of the time different students spend in the bathroom every day during B3
5. For her science project, a student collects data on deer spotted in a field each day. For the first five days of her study, she counted 23, 16, 18, 27, and 19 deer. What type of observation do these data represent?
6. Which type of market research does surveys and questionnaires gather?
7. What kind of data involve numbers in the form of an amount or measurement?(ex 12 students working in the library)
8. There are 75 trees in the forest.
9. Which type of information is most likely to be collected by quantitative research methods?
10. "There are 5 llamas." is an example of a(n)

Frequently Asked Questions

What is quantitative research?

Quantitative research involves collecting and analyzing numerical data to understand patterns, relationships, and trends. It often uses statistical analysis to draw conclusions.

How does quantitative research differ from qualitative research?

Quantitative research focuses on numerical data and statistical analysis, while qualitative research emphasizes understanding concepts, thoughts, or experiences through methods like interviews and observations.

What types of data are used in quantitative research?

Quantitative research uses countable data, numerical measurements, and numerical observations. Examples include numerical scales, time tracking, and numerical counts like a deer count.

What is the role of deductive reasoning in quantitative research?

Deductive reasoning in quantitative research involves starting with a general theory or hypothesis and testing it through specific, structured data collection and empirical testing.

How is statistical analysis used in quantitative research?

Statistical analysis in quantitative research helps to interpret numerical data, identify patterns, and test hypotheses. It provides a systematic way to understand and draw conclusions from the data collected.