5.1.1

Quantitative Data

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Quantitative Data

There are 2 types of data - qualitative and quantitative data. Quantitative data is a measurement that is recorded as a number (quantified). You can measure it in seconds, metres, centimetres, levels or kilograms.

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No opinion

  • This is a matter of fact; no opinions are expressed.
  • These scores can be compared against national averages.
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Findings are quantified

  • Findings are quantified (placed into numerical form). An example would be the time taken in minutes/seconds or the number of points scored in basketball.
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Examples of quantitative data

  • Fitness test scores (seconds taken or kilograms lifted).
  • Heart rate recordings from physical activity.

Advantages and Disadvantages of Quantitative Data

Quantitative data deals with numbers.

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Advantage

  • An advantage of this type of data is that we can produce statistics to measure performance.
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Disadvantage

  • A disadvantage of this type of data is that it does not provide reasons for the results.

Collecting Quantitative Data

Quantitative data can be collected in a number of ways.

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Questionnaires

  • These are a series of questions asked to a certain number of participants.
  • The number of participants giving a certain answer to a certain question can be expressed as a number.
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Surveys

  • This records the number of people who give the same answer to a question.
  • We can then work out the most common or least common answer by the number of people who gave it.
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Heart rate monitors

  • These record heart rate data as a number (beats per minute).
  • This can be recorded and put onto a graph to show progress over time.
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Stopwatches

  • These can record the time taken to complete a test, such as the Illinois agility test (common fitness test).

Jump to other topics

1Applied Anatomy & Physiology

2Movement Analysis

3Physical Training

4The Principles of Training

5Using Data

6Sports Psychology

7Socio-cultural Influences

8Health & Fitness

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