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Quantitative and Qualitative Data

Quantitative and qualitative data; the distinction between qualitative and quantitative data collection techniques

  • 5 things to know
  • Paper 2

Overview

What separates numerical data from rich descriptive data, which techniques collect each, and the strengths and limitations that follow.

What you need to know

Answer each one before you reveal it.

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Key term

What is quantitative data?

Key term

What is qualitative data?

Key term

Which techniques collect numerical data?

Key term

Which techniques gather rich descriptive data?

Evaluation

Give a strength and a limitation of quantitative measurement.

Questions from this subtopic

Each one with the model answer underneath.

  1. 1

    What is quantitative data?

    Model answer

    Numerical information that can be measured and expressed in numbers, allowing for statistical analysis.

  2. 2

    What is qualitative data?

    Model answer

    Non-numerical information that describes qualities, characteristics, meanings, or experiences, typically expressed in words, images, or observations.

  3. 3

    How do structured questionnaires with closed questions collect quantitative data?

    Model answer

    They provide fixed response options (e.g., rating scales, yes/no) that produce numerical data which can be counted and statistically analysed.

  4. 4

    How do experiments serve as a quantitative data collection technique?

    Model answer

    Experiments measure variables numerically (e.g., reaction times, test scores), producing data that can be statistically analysed to identify cause-and-effect relationships.

  5. 5

    What is systematic observation with numerical recording as a quantitative technique?

    Model answer

    A method where observers count or measure specific behaviours using predetermined categories, producing numerical data such as frequency counts or duration measurements.

  6. 6

    How do unstructured or semi-structured interviews collect qualitative data?

    Model answer

    They allow participants to respond freely in their own words, with flexible questioning that explores meanings and experiences in depth, producing rich descriptive data.

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AThe mean is the arithmetic average of a data set.
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