Data Analysis and Interpretation for High Performance

• • Data generation and collection
  • Measures of reliability and validity
  • Working with data
  • Magnitude-based statistics
  • Practical interpretation of data analysis

In order to enrol in this subject, you must be accepted into one of the following degrees:

Core

• ACU-HPS-GCE-2020

Elective

• ACU-SPL-GCE-2020

Special requirements

No special requirements

The ability to make sound decisions in high performance sport is critical to maximizing performance outcomes. In order to do this, practitioners need specific knowledge and skills in data analysis techniques, in addition to the ability to present data in a meaningful way to a variety of audiences. This subject is based on contemporary data analysis techniques focusing on determining practically meaningful differences in athletic performance. A range of approaches will be explored to allow for analysis of both individual and group data. The aim of this subject is to provide students with the knowledge, understanding and skills to analyse and interpret data of relevance to sports science and athletic performance and effectively present the results.

In order to best enable students to achieve unit learning outcomes and develop graduate attributes, standards-based assessment is utilised, consistent with University assessment requirements. A range of assessment strategies are used including: a data analysis task to assess student learning of unit content and its application; and a “Coach Report” to assess the ability to interpret data appropriately and communicate the outcomes clearly and effectively.

• Magnitudes based statistical analysis and interpretation (40%)
• Data interpretation and coach report (60%)