Enrolments for 2022 have closed.
Data Analysis and Interpretation for High Performance
Postgraduate | ACU-EXSC513 | 2022
Course information for 2022 intake
View information for 2023 course intake- Study method
- 100% online
- Assessments
- 100% online
- Entry requirements
- Part of a degree
- Duration
- 13 weeks
FEE-HELP available
Data Analysis and Interpretation for High Performance
About this subject
On successful completion of this unit, students should be able to:
- Understand the importance of using appropriate statistical techniques for making effective decisions in high performance sport (GA5, GA8)
- Utilise contemporary statistical approaches to analyse individual and group data (GA5, GA8)
- Interpret and report the outcome of statistical analyses in a way that effectively communicates complex information to a variety of audiences (GA8, GA10)
- - 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
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%)
For textbook details check your university's handbook, website or learning management system (LMS).
Established in 1991 after amalgamating four eastern Australian Catholic tertiary institutes, Australian Catholic University now has seven campuses, from Brisbane to Melbourne and welcomes students of all beliefs. Specialising in arts, business, education, health sciences, law, theology and philosophy, ACU encourages its students to think critically and ethically and bring change to their communities and offer this online through Open Universities Australia.
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Entry requirements
To enrol in this subject, you must be admitted into a degree.
Additional requirements
No additional requirements
Study load
- 0.125 EFTSL
- This is in the range of 10 to 12 hours of study each week.
Equivalent full time study load (EFTSL) is one way to calculate your study load. One (1.0) EFTSL is equivalent to a full-time study load for one year.
Find out more information on Commonwealth Loans to understand what this means to your eligibility for financial support.