Doctoral studies

Statistics in Physical Education and Sport

Statistical methods for research in physical education and sport: from describing data and the fundamentals of statistical inference to correlation and regression, the t test, analysis of variance, measurement reliability and nonparametric tests. The course follows the textbook by Weir and Vincent (2021).

Lessons

material from 2025coming soon
  1. Lesson 0
    Introductory class — how the course works
    Schedule, lecturers, textbook, what a week looks like, what to do before the first class
  2. Lesson 1
    Measurement, organizing and displaying data, percentiles, central tendency and variability
    Weir & Vincent (2021), chapters 1–5
    Material from 2025, in preparation
  3. Lesson 2
    The normal curve and fundamentals of statistical inference
    Weir & Vincent (2021), chapters 6–7
  4. Lesson 3
    Correlation and regression — bivariate, multiple and partial
    Weir & Vincent (2021), chapters 8–9
    Material from 2025, in preparation
  5. Lesson 4
    The t test: comparing means from two sets of data
    Weir & Vincent (2021), chapter 10
  6. Lesson 5
    Simple analysis of variance and analysis of variance with repeated measures
    Weir & Vincent (2021), chapters 11–12
  7. Lesson 6
    Quantifying reliability
    Weir & Vincent (2021), chapter 13
  8. Lesson 7
    Factorial analysis of variance
    Weir & Vincent (2021), chapter 14
  9. Lesson 8
    Analysis of covariance
    Weir & Vincent (2021), chapter 15
  10. Lesson 9
    Analysis of nonparametric data and clinical measures of association
    Weir & Vincent (2021), chapters 16–17
  11. Lesson 10
    Advanced statistical procedures
    Weir & Vincent (2021), chapter 18
  12. Lesson 11
    Early exam (final test)