The National Institute of Education invites suitable applications for the position of Research Assistant/ Associate on an 18-month contract at the Physical Education & Sports Science Academic Group.
Project Title: Expanding the Reliability and Validity of Human Performance Prediction Model for Talent Identification in Mixed Age Athletes
Project Introduction: In athletic running performances, various models have been developed to predict running performances ranging from 100m to marathon distances. However, these models were generally based on unverified assumptions, which may reduce accuracy. Few models are able to predict for a wide range of distances. Hence, the running energy reserve index (RERI) model was developed by Gupta and Balasekaran (2012) to predict all out 200m and 5000m track and treadmill running performances ranging from .19 seconds~ to 1339 seconds~. The model has been mathematically proven and validated to be able to accurately determine anaerobic energy reserve and differentiate between sprint trained and endurance-trained athletes. Therefore, RERI model is a useful tool to predict human running performance, talent identify proficient and talented young athletes in Singapore.
The RERI model can be used in our local school settings to predict running performance for our young local talented athletes from different age groups. Specific advice can be provided to the coaches, physical educators, parents, sports institutes, sports associations and clubs on the type of training suitable for these athletes to groom them into professional athletes in the future. Most sports require endurance running or sprints (e.g. soccer, hockey, netball etc.), therefore it is not only running specific. Running transcends into most sports, therefore, data from the RERI model can also be useful for talent identification in other sports. To conclude, expanding the RERI model can help raise the standard of sports performance in Singapore.