Deterministic Model
Deterministic
models of sports activities, also known as hierarchical models as they descend
a hierarchical pyramid. The first
principle of hierarchical modelling is to identify the ‘performance criterion’,
the outcome measure of the sporting activity. This is often, in track and field
athletics for example, to go faster, higher or further. Splitting a movement
into phases helps to identify the next levels of the pyramid. (Bartlett, 2007)
This
style of model breaks down the elements required to perform a skill such as leg
muscle strength, thus meaning specific areas can be developed The primary advantage of using deterministic models is to help to avoid
selecting performance variables arbitrarily and to provide a provide a
theoretical basis (mechanical relationships) for statistical modeling (Chow
& Knudson, 2010)
Although
deterministic models are putatively based on the well-established principles of
mechanics, it could be argued that they may have contributed, at least in part,
to this lack of advancement and that sports biomechanists must explore
alternative theoretical frameworks that may offer greater explanatory power. (Glazier & Robins, 2011).
This is an example of a high jump deterministic model.
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