Data Analysis and Interpretation for High Performance

• • - Hypothesis Testing including p values and their limitations
  • - Understanding and calculating measure of Reliability and Validity
  • - Methods for determining practically important differences between groups
  • - Methods for determining practically important differences individuals
  • - Advanced Statistical Approaches in High Performance Sport
  • - Reporting and presenting outcomes to coaches and ahtletes

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

Core

• ACU-HPS-GCE-2021
• ACU-HPS-GCE-2022

Elective

• ACU-SPL-GCE-2021
• ACU-SPL-GCE-2022

Additional requirements

No additional 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.

• Data analysis and interpretation task - Enables students to demonstrate their understanding of statistical approaches by analysing performance test data and interpreting the results. (40%)
• Data analysis interpretation and coach report - Enables students to apply skills developed in the unit for the analysis of data and communication of the outcomes. (60%)

Current study term: 25 Jul 21 to 31 Oct 21

Next study term: 27 Feb 22 to 27 May 22