We explain WHAT nomographs are, HOW they make sub amximal testing easier and WHY athletes and coaches use them in fitness testing and training.
Learn today, as The PE Tutor explains the use of nomographs, sub-max and maximum fitness testing from the BTEC Sport Unit 1 Exam and GCSE PE Fitness Training Unit.
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This lesson is from The PE Tutor's BTEC Sport Unit 1 Video Series.
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LESSON SUMMARY
Reasons for Fitness Testing, Sub-maximal and Maximal Testing, Normative Data Tables and Nomographs
Why We Fitness Test
1. To identify a performer’s strengths and weaknesses.
2. Testing can aid goal setting.
3. Test scores can be used to assess the effectiveness of current training methods.
4. Coaches can use scores to compare performers against one another.
5. Progress in test scores can provide motivation to continue training.
Sub-maximal and maximal testing
Sub-Maximal Testing
• When 2 or more performers complete the same activity at same intensity.
• Their response to the activity can be measured and used to estimate their potential physiological capabilities are likely to be.
• Sub max testing does not require 100% intensity.
• This prevents any psychological barriers from hindering an accurate result, and reduces the risk of injury.
Maximal Testing
• This is when a performer completes an activity to personal exhaustion.
• This could be through intensity, duration or level of fatigue.
• Data is raw and indicative of their 100% capabilities.
• It removes the need to estimate, however requires the performer to be motivated and in peak physical condition.
Normative Data Tables
• These are produced when vast quantities of historical data are analysed and split into percentiles.
• The ages and genders of performers who achieved a certain result are recorded averaged out and used to create thresholds that a performer can compare themselves against.
• A performer can then take their test score, compare it against athletes of the same age and gender and determine if they are above, at or below average.
Nomographs
• The purpose of a nomograph is to show the relationship between two quantities and values to predict a third, non-measured result.
• They work using 3 parallel lines. An assessor plots results on the first 2 parallel lines. They then connect these with a straight line and extend it across the graph until it intersects with the third parallel line.
• Nomographs are produced by analysing vast quantities of data under lab-based conditions. All 3 data points are accurately measured, before averaging out all the trials to create a nomograph that shows what the most frequent 3rd line result was when a certain combination of the initial 2 conditions were recorded.
• For example, in skinfold testing, experts have predicted what a person’s likely body fat percentage is by combining the sum total of 3 folds, their age and gender.
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