The Perception & Action Podcast 516 – Do Averaged, Group Data Accurately Capture & Represent Individual Movements Solutions?
Nov 12, 2024
The discussion critiques the traditional reliance on averaged group data in understanding individual movement behaviors. It highlights how this method can mask important individual differences, particularly in sports analysis. The conversation dives into how personalizing insights can enhance coaching and performance. Real-world examples from sports like golf and jump landings illustrate the pitfalls of averaging, emphasizing the need to focus on unique movement patterns for effective skill development.
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Individual Variation in Movement
- Traditional research methods, using averages, lose individual movement variations.
- Ecological dynamics emphasizes individual differences in movement solutions.
Golf Biomechanics Example
- A golf study showed pros averaged 66 degrees shoulder external rotation, suggesting more rotation means better performance.
- However, high variability (SD=11) means some pros might have similar rotation to mid-handicappers, so the average represents nobody.
Landing Study Results
- In a landing study, individual models differed significantly from the group average.
- The group model, showing a linear increase in force, represented no individual's actual strategy.