Quick Answer
A strong IB Sports, Exercise and Health Science IA investigates a clear physiological, biomechanical, or performance-related question using a method that is safe, repeatable, and capable of producing meaningful data. The best projects combine practical feasibility with thoughtful analysis and evaluation.
What You'll Learn
- Choose a research question that is specific and measurable
- Methodology must control as many participant and environmental variables as possible
- Your data should allow for real analysis, not just basic description
- Evaluation should explain how limitations affect the strength of your conclusions
What Makes a Strong Sports Science IA?
A strong Sports, Exercise and Health Science IA explores a clear question related to performance, physiology, biomechanics, or health. Examiners want to see sound experimental planning, careful control of variables, and analysis that links results back to SEHS concepts rather than just reporting measurements.
Pro Tip
The best SEHS IAs often look quite simple on the surface, but the method is controlled carefully and the evaluation is honest and specific.
SEHS IA Topics That Often Work Well
SEHS IAs usually work best when the variables are measurable and the activity can be repeated consistently.
- Reaction time under different conditions
- Effects of warm-up or recovery protocols on performance measures
- Comparing fatigue or recovery responses between protocols
- Investigating biomechanical variables in technique-based tasks
- Relationships between exercise intensity and physiological responses
Watch Out
Avoid topics that require specialist equipment you cannot access reliably or conditions that are hard to standardise.
Methodology and Variable Control
Human performance investigations are often vulnerable to uncontrolled variables. A strong SEHS IA explains how you standardised conditions, reduced bias, and handled participant differences.
- 1Define your independent and dependent variables clearly
- 2Standardise the protocol across all participants or trials
- 3Control warm-up, rest intervals, timing, and environmental conditions where possible
- 4Acknowledge participant variability and explain how it affects reliability
- 5Use enough trials or participants to support meaningful analysis
Data Processing and Analysis
A high-scoring Sports Science IA needs more than a table of results. You should present patterns, compare conditions or groups carefully, and explain what the findings suggest using relevant SEHS theory.
- Use tables and graphs that make comparisons clear
- Comment on patterns, spread, and anomalies
- Link results to relevant physiological or biomechanical theory
- Consider reliability and whether the method supports the conclusions drawn
Common Sports Science IA Mistakes
These issues frequently weaken SEHS investigations.
- A broad question with too many changing variables
- Poorly standardised testing conditions
- Small or inconsistent datasets that limit analysis
- Describing results without linking them to SEHS theory
- Evaluation that lists flaws without explaining their impact on validity or reliability