Collected Data for Fitness Testing (AQA GCSE Physical Education (PE))

Revision Note

Ruth Brindle

Written by: Ruth Brindle

Reviewed by: Lára Marie McIvor

How Data is Collected for Fitness Testing

Measurement and recording of fitness test scores

  • Fitness test scores are typically measured and recorded using specific units or measurements that correspond to the nature of the test and the fitness component being assessed

  • Common measurement units include:

    • Time (e.g. seconds): Used in tests like the 30-metre sprint, Illinois agility test, and multi-stage fitness test (bleep test) to measure speed, agility and endurance

    • Distance (e.g. metres, centimetres): Used in tests like the vertical jump test, sit and reach test, and handgrip dynamometer test to measure vertical jump height, flexibility, and grip strength

    • Repetitions or counts (e.g. number of sit-ups, number of shuttle runs): Used in tests like the sit-up bleep test to measure muscle endurance and the number of completed repetitions within a specific time frame

    • Levels or stages (e.g. level achieved in bleep test): Used in tests like the multi-stage fitness test to indicate aerobic fitness and endurance based on progressively increasing difficulty levels

Qualitative and quantitative data:

  • Qualitative Data:

    • In fitness testing, qualitative data refers to descriptive observations or characteristics that are not easily quantifiable

    • This can include subjective assessments of movement quality, posture, or technique during exercises

      • For example, qualitative feedback on running form or balance during the stork stand test

  • Quantitative Data:

    • Quantitative data, on the other hand, involves numerical measurements or counts obtained during fitness testing

      • This includes objective data such as time taken to complete a task, distance covered, number of repetitions or level achieved in a test

Comparing Quantitative Data to National Averages:

  • Fitness test results collected as quantitative data, such as time, distance, repetitions, or levels, can be compared to established national averages

  • This comparison allows individuals and professionals to:

    • Assess performance: Evaluate an individual's performance relative to their peers or national standards

    • Identify strengths and weaknesses: Identify areas of strength and areas needing improvement based on benchmark data

    • Set goals: Establish realistic goals for improvement based on where an individual's performance falls in relation to national averages

  • Comparing fitness test scores to national averages provides valuable context and helps guide training programs

    • Participants can use the data collected in their fitness tests and evaluations to develop performance enhancement strategies and to set future goals

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Ruth Brindle

Author: Ruth Brindle

Expertise: Biology

Ruth graduated from Sheffield University with a degree in Biology and went on to teach Science in London whilst also completing an MA in innovation in Education. With 10 years of teaching experience across the 3 key science disciplines, Ruth decided to set up a tutoring business to support students in her local area. Ruth has worked with several exam boards and loves to use her experience to produce educational materials which make the mark schemes accessible to all students.

Lára Marie McIvor

Author: Lára Marie McIvor

Expertise: Biology Lead

Lára graduated from Oxford University in Biological Sciences and has now been a science tutor working in the UK for several years. Lára has a particular interest in the area of infectious disease and epidemiology, and enjoys creating original educational materials that develop confidence and facilitate learning.