Progressive Statistics at Sportscience

 

Prof. Will Hopkins of AUT University in Auckland NZ will present this two-day series of lectures and workshop sessions using the research resources at the Sportscience site. "Progressive" refers to his practical and novel approaches to data analysis, including estimation and interpretation of the magnitude of effects and their uncertainty, or "life without p values".

 

To open Sportscience (sportsci.org) at the homepage in a new tab, click here.

The links below will then open within the main frame of this page.

 

General references:

Progressive statistics

Understanding stats via simulations

 

Day 1

 

09:30-10:40      Introduction to Sportscience resources and magnitude-based Inferences

Magnitude-based inferences

Mechanistic vs clinical inferences

 

10:40-11:00      Morning tea

11:00-12:30      Magnitudes for differences, changes and correlations

Linear models and effect magnitudes

Repeated measures & random effects

 

12:30-13:30      Lunch

13:30-14:40      Workshop: spreadsheets for inferences

Confidence limits & clinical chances · article

Combine/compare effects · article

 

14:40-15:00      Afternoon tea

15:00-16:00      Workshop: spreadsheets for group comparisons and controlled trials

Compare two group means · article

Pre-post parallel groups trial · article

Post-only crossover · article

Pre-post crossover · article

Article on choosing the most appropriate controlled trial: Controlled-trials decision tree

 

16:00-17:00      Consulting with individuals

 

Day 2

 

09:30-10:40      Magnitudes for proportions and counts

Linear models and effect magnitudes (continued)

 

10:40-11:00      Morning tea

11:00-12:30      Measurement issues: validity, reliability, sample-size estimation

Validity and reliability

A Socratic dialogue on comparison of measures

Sample-size estimation

 

12:30-13:30      Lunch

13:30-14:40      Workshop: spreadsheets for reliability, validity and sample-size estimation

Reliability · article (in A New View of Statistics)

Validity · article (in A New View of Statistics)

Sample-size estimation · article

 

14:40-15:00      Afternoon tea

15:00-16:00      Workshop: using SPSS

SPSS tips and tricks

 

16:00-17:00      Consulting with individuals