Deterministic Model

 

 

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.