To continue the previous How to visualize test change scores for coaches post, here is another way to visualize individual change scores without falling for group averages. This way we can easily see individual ranks in both pre- and post- test, along with change score (which is also color coded). Quite easy to identify the outliers.
Orange rectangles represent group averages.
Player Monitoring – Team Dashboard I have been working lately on summarizing the data we collected and creating one dashboard in Excel (I am going to start using R, because I think I will be able to do more powerful data analysis and visualization and it is free). I use this sheet to store, analyze and visualize the data…
ince the wellness questionnaire is basically a nominal scale, the method of calculating difference might be simple subtraction (Difference = Current Score – Rolling Average). Other calculations that are based on ratio scales might involve percent change…
Coaches are not interested in making inferences to a population, statistical significance, nor mean values (P<0.01). What they are interested are individual athletes, their reactions to training and what are practically significant and meaningful changes.
Playing With Statistics After a general rant in part 1 and part 2 I am about to start actually doing some stats. Ok, the first 30-15IFT test we did was in January and here are the scores.
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