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Use of Data

Collecting and presenting data

  • 3 things to know
  • Components 1 and 2

Overview

Quantitative and qualitative data, how each is collected in PE, their strengths and weaknesses, and presenting results in tables, bar charts, line graphs and pie charts.

What you need to know

Answer each one before you reveal it.

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Evaluation

What are the strengths and weaknesses of quantitative and qualitative PE data?

Key term

What is quantitative data?

Key term

What is qualitative data?

Questions from this subtopic

Each one with the model answer underneath.

  1. 1

    What is quantitative data?

    Model answer

    Quantitative data is numerical data that can be measured or counted. A sprint time or a heart rate in beats per minute is quantitative.

  2. 2

    What is qualitative data?

    Model answer

    Qualitative data describes qualities, opinions or feelings rather than numbers. A coach's written comments on a player's technique are qualitative.

  3. 3

    How can quantitative data be collected in physical activity and sport?

    Model answer

    Quantitative data can be collected with fitness tests, stopwatches and heart rate monitors. Tally charts of passes or shots also give numerical data.

  4. 4

    How can qualitative data be collected in physical activity and sport?

    Model answer

    Qualitative data can be collected through interviews, observation and open questions on a questionnaire. A performer might describe how hard a training session felt.

  5. 5

    What are the strengths and weaknesses of quantitative data?

    Model answer

    Quantitative data is objective and easy to compare, average and show on graphs. Quantitative data rarely explains why a result happened.

  6. 6

    What are the strengths and weaknesses of qualitative data?

    Model answer

    Qualitative data gives detail and reasons, such as why a performer lost confidence. Qualitative data is subjective and harder to compare or show on graphs.

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