28/02/2014By Mladen Jovanovic on 28/02/2014
Overview of the process - As I have alluded to in the beginning of this article, training objectives will demand certain training parameters within which we can employ various progressions and variations, termed set and reps schemes.
13/02/2014By Mladen Jovanovic on 13/02/2014
In the last blog post I created a simple simulation of statistical power (probability to identify effects when they are really there) calulation depending on the sample size and effect size (Cohen’s D using Will Hopkins effect levels).
12/02/2014By Mladen Jovanovic on 12/02/2014
I was going through magnitude-based inferences materials by Will Hopkins and I am playing with R simulations. I wanted to see how many times I am able to detect statistically significant effects (p<0.05) depending on magnitude of effects (expressed as Cohen's D, and using Will Hopkins levels) and sample sizes.
04/02/2014By Mladen Jovanovic on 04/02/2014
It was a great pleasure to interview professor Mike McGuigan from AUT (New Zealand). I have been reading his work for years and was lucky enough to correspond with him on a regular basis lately. Mike is always happy to chat and share his viewpoints and insights, which he also did with this interview.