Key term
AQA A-Level Physical Education 7582
The Cardiovascular System
The Respiratory System
The Neuromuscular System
The Musculo-Skeletal System and Movement Analysis
Energy Systems
Skill, Transfer and Practice
Theories of Learning
Guidance and Feedback
Information Processing and Memory
The Emergence and Globalisation of Sport
Topic overviewPre-industrial society, mob football and real tennisIndustrialisation, urbanisation and rational recreationAssociation football, lawn tennis and Victorian athleticsAmateurs, professionals and women in Victorian sportThe Golden Triangle of sport, media and sponsorshipProfessionalism and elite women's sport since 1950
Equal Opportunities in Sport
Diet and Nutrition
Preparation and Training Methods
Injury Prevention and Rehabilitation
Biomechanical Principles and Levers
Linear and Angular Motion
Projectile Motion and Fluid Mechanics
Personality and Attitudes
Arousal and Anxiety
Aggression
Motivation and Achievement Motivation
Social Facilitation and Group Dynamics
Goal Setting
Attribution Theory
Self-Efficacy and Confidence
Leadership
Stress Management
Concepts of Physical Activity and Sport
Development of Elite Performers
Ethics and Violence in Sport
Drugs in Sport
Sport, the Law and Commercialisation
Technology in Sport
Collecting and analysing sports data
- 3 things to know
- Paper 2
Overview
Sports analytics, quantitative, qualitative, objective and subjective data, video analysis, metabolic carts, GPS and motion tracking, and data integrity.
What you need to know
Answer each one before you reveal it.
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Key term
How can an analyst make subjective match data more trustworthy, and why must a GPS unit sit in the same position every match?
Key term
What is sports analytics?
Questions from this subtopic
Each one with the model answer underneath.
- 1
What is sports analytics?
Model answer
Sports analytics is the collection and analysis of data to improve performance and decision making in sport.
- 2
A hockey analyst records each player's distance covered and number of sprints. What type of data is this?
Model answer
Distance and sprint counts are quantitative and objective data. The data is numerical and measured by equipment rather than judged.
- 3
Why should an analyst combine quantitative match data with qualitative feedback?
Model answer
Numbers show what happened but not why it happened. A player's account of fatigue or tactics gives the numbers context.
- 4
How can an analyst make subjective match data more trustworthy?
Model answer
Several trained analysts can code the same footage using clear definitions for each action. The analysts' results can then be compared for agreement.
- 5
Why should a GPS unit be worn in the same position in every match?
Model answer
A consistent position keeps the measurements reliable from match to match. A moved unit could change the readings and hide real changes in workload.
- 6
Why might GPS data be inaccurate in an indoor arena or a stadium with a closed roof?
Model answer
GPS needs a clear signal from satellites, which roofs and buildings can block. The recorded positions and speeds may then be wrong.
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