Advanced statistical methods/data analysis 

Section 4

Advanced statistical methods/data analysis

Best practice knowledge for the principles associated with advanced statistical or data analysis methods for complex data series.

• Base level – practitioner is familiar with basic theory associated with the appropriate selection of statistical or data analysis options based on the data type and analysis required (exploratory or statistical). Basic understanding of the appropriate selection and processes for using analysis applications (eg. basic statistics including regressions; comparative analysis etc.); including appropriate results interpretation and limitations.
• Intermediary level – practitioner is competent in operation and result interpretation of higher level statistical and data analysis applications to deal with complex data series (eg. Statistical Parametric Mapping) using existing applications.
• Advanced level – practitioner has recognised high-level expertise in utilising advanced statistical or data analysis programs (eg. Principle Component Analysis) to highlight critical components of interest from biomechanical testing.