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 a huge error, but it is an error in representing a typical error in measurement.
Smallest Worthwhile Change: Individual vs Group If you haven’t been living under a rock over past few years, you must be familiar with Will Hopkins work on magnitude-based inferences (MBI). One of the basis behind MBI is defining smallest practically meaningful change, or smallest worthwhile change (SWC). Together with Typical Error (TE) of a test, SWC is very needed…
Confidence intervals gives us the range of a given statistic when generalizing from a sample to a population. The simplest example could be mean of a sample (e.g. average height) – what we are interested in are the generalizations (or inferences) from this sample to a population (e.g. average height in population). Due the sampling error we are not…
Latest obsession of the researches is individual variation in training responses. The motivation behind this approach (known and emphasized in theory of training as individualization principle) is the creation of personalized medicine or personalized training.
Few days ago, I spoke with Cameron Josse, who is Director of Sports Performance at DeFranco’s Gym, regarding simple (or should I say, Minimum Viable Program – MVPr) endurance test for football athletes. I have directed Cameron to the article Testing Endurance for Team Sport Athletes and my Shuttle Run Beep Test. Since we are on the same page…
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