Quantitative Methods in Human Potential and Performance Research
About This Course
This course introduces study design and methodologies, as well as relevant mathematical and statistical skills for investigating human potential and performance. General principles of applying frequentist, Bayesian, machine learning and artificial intelligence analysis methods will be discussed and illustrated with case studies utilizing a range of designs and methodologies addressing questions in areas such as sporting performance, academic performance, mental wellness, and mental health.
What You'll Learn
1. Design appropriate experimental studies for addressing questions of interest in human potential and performance.
2. Apply standard statistical tests (eg. t-test, chi-squared test, Analysis of Variance (ANOVA), regression, non-parametric tests) where appropriate and available.
3. Apply computational statistical methods for arbitrary data distributions (eg. jackknife, bootstrap) as appropriate where standard statistical tests are not available.
4. Read and critique published research literature in human potential and performance
Entry Requirements
"• Hold a relevant Bachelor’s degree (preferably a four-year programme with Honours) in any field (preferably with subjects related to either psychology, physiology, or neuroscience).
• At least one year working experience if holding a three-year Bachelor’s degree (without Honours)
• Provide evidence of a minimum International English Language Testing System (IELTS) score of 6.0 or a TOEFL score of 85 (Internet-based) to establish proficiency in English if this is not their first language.
• All IELTS / TOEFL tests must have been taken not earlier than 3 years before the proposed date of admission."