By Mladen Jovanovic on 08/01/2014
This is the discussion that emerged on my Facebook wall after my post on Stephen Seiler presentation for INSEP regarding the MENAGEMENT OF THE DISTRIBUTION OF TRAINING INTENSITY: THE POLARIZED MODEL and my suggestion for similar observation and experiment to Mike Tuchscherer involving powerlifters instead of endurance runners.
By Mladen Jovanovic on 31/12/2013
Playbook: Understanding MODERATION Through Simulation Introduction I recently spoke with my college professor regarding the understanding of statistics, and I remarked that I learn the statistical concept the best (and with full comprehension) through simulation. He remarked that I might be in the minority of students (p<0.01 – see what I did here?). Not sure if this is true...
By Mladen Jovanovic on 26/12/2013
To continue the previous How to visualize test change scores for coaches blogpost, 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.
By Mladen Jovanovic on 26/11/2013
I decided to interview Dan again and I hope this to be practice in the future as well (every 2-3 years J). I am more than thankful to Dan for his time and good will to answer all of my questions extensively, honestly, personally and insightfully like he always does.
By Mladen Jovanovic on 19/11/2013
In the following R and knitr experiment/blog post I will be documenting my play with correlation and inferences. I am just reading Discovering Statistics Using R by Andy Field and I am trying to code some staff from the book, plus experiment and see how inferential statistics work.
By Mladen Jovanovic on 12/11/2013
I am awaiting review and opinions/critiques from statistics wizard Will Hopkins for my How to visualize test change scores for coaches, but even on his first look he pointed to one small error I did in simulating typical error for vertical jump. It is not huge error, but it is an error in representing typical error in measurement.
By Mladen Jovanovic on 09/11/2013
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.
By Mladen Jovanovic on 26/10/2013
Over the years there were couple of tries to monitor fatigue real-time in team sports, such as soccer. The most simple one was to use heart rate (HR) data and see if the players were getting tired by checking if the HR was getting higher and higher. Long story short – this doesn’t work and I have no clue…
By Mladen Jovanovic on 17/09/2013
I have updated Percent-based to velocity-based converter to include conversion from velocity-based to percent-based approach using load-velocity profile and %1RM-max reps profile. This is important since it allows coaches to get easier ‘grip’ on velocity-based approach and how it could be used and converted.Here is the screen shot
By Mladen Jovanovic on 03/09/2013
“Nothing Is More Practical Than A Good Theory” – In the following video I am explaining how to use Excel converter to convert percent-based programs to velocity-based programs based on lifters load-velocity profile for a given movement.