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:

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 pass this unit, students are expected to submit two graded assessment tasks. In addition, students must achieve a cumulative grade of at least 50% across all assessments. In order to reward students for engagement and performance, a final graded result will be awarded. The assessment strategy used allows for the progressive development of knowledge and skills relevant to data analysis, interpretation and communication which are necessary for the student to be able to demonstrate achievement of learning outcomes. To become effective at interpreting and communicating data analysis results, students must first develop comprehensive knowledge, skills and understanding of the statistical approaches used to analyse and interpret de-identified data collected within a High Performance Sport environment. A range of assessment strategies are used where data analysis tasks are purposefully designed to assess student learning of unit content and its application. The first assessment task requires students to use statistical approaches to analyse performance test data and interpret the results, being critical skills underpinning performance assessment and intervention. The final task a “Coach Report” has been designed to assess the student's underpinning knowledge and skills in analysing and interpreting data appropriately as well as the more complex requirement of communicating the outcomes clearly and effectively to in a method required within the High Performance Sport environment.

• 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%)

For textbook details check your university's handbook, website or learning management system (LMS).