Force-Velocity Profiling and Training Optimization Course:

Squat Jump Setup

In this video I am demonstrating how to setup the squat jump for Force-Velocity profiling. To maintain the consistent starting position, I am demonstrating one simple trick I learned from Alex Natera, while we were in the Aspire Academy. Ideally, you want to mark the feet position on the ground, which I have done later in the video.

Besides making sure there is a consistent starting position, we need to estimate the push-off distance. I am demonstrating how that can be achieved using the GymAware and the Flex instruments.

I also discuss differences between hex bar jump and squat jump. The only thing I wished I have done differently is using slightly deeper squat position, which would be more in line with the hex bar jump. These topics are further discussed in the Module 4 of this course.

References

1. Jovanović M. 2020a.bmbstats: Magnitude-based statistics for sports scientists. Available at https://mladenjovanovic.github.io/bmbstats-book/
2. Jovanović, Mladen. 2020b. bmbstats: Bootstrap Magnitude-Based Statistics. R-Package. Belgrade, Serbia. https://github.com/mladenjovanovic/bmbstats.
3. Keogh RH, Shaw PA, Gustafson P, Carroll RJ, Deffner V, Dodd KW, Küchenhoff H, Tooze JA, Wallace MP, Kipnis V, Freedman LS. 2020. STRATOS guidance document on measurement error and misclassification of variables in observational epidemiology: Part 1-Basic theory and simple methods of adjustment. Statistics in Medicine. DOI: 10.1002/sim.8532.
4. Lederer W, Küchenhoff H. 2006. A short introduction to the SIMEX and MCSIMEX. R News 6.
5. Shang Y. 2012. Measurement Error Adjustment Using the SIMEX Method: An Application to Student Growth Percentiles: Measurement Error Adjustment Using the SIMEX Method. Journal of Educational Measurement 49:446–465. DOI: 10.1111/j.1745-3984.2012.00186.x.
6. Shaw PA, Gustafson P, Carroll RJ, Deffner V, Dodd KW, Keogh RH, Kipnis V, Tooze JA, Wallace MP, Küchenhoff H, Freedman LS. 2020. STRATOS guidance document on measurement error and misclassification of variables in observational epidemiology: Part 2-More complex methods of adjustment and advanced topics. Statistics in Medicine. DOI: 10.1002/sim.8531.
7. Wallace M. 2020. Analysis in an imperfect world. Significance 17:14–19. DOI: 10.1111/j.1740-9713.2020.01353.x.

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