Discrete vs Continuous Biomechanical Data Analysis | Dr Todd Pataky

Lecture 22 of the Sports Biomechanics Lecture Series #SportsBiomLS Todd Pataky presents a comparison and discussion of discrete (e.g. maximum or minimum forces or angles) and continuous (e.g. statistical parametric mapping [SPM]) data analysis techniques in biomechanics. For a demonstration of 'SPM in 6 minutes' with no prior coding/matlab experience: https://www.youtube.com/watch?v=nKyNpoU6-_I SPM ANOVA and other tests: https://www.youtube.com/watch?v=Dp-KK2w50UE To add labels to the SPM plots: https://www.youtube.com/watch?v=FrPmrQ0YotA To manually edit SPM plots: https://youtu.be/QXHtoff-MIs 10 common stats mistakes in 5 minutes video: https://www.youtube.com/watch?v=hlVl1dJE4GE Subscribe: https://www.youtube.com/c/StuartMcErlainNaylor1?sub_confirmation=1 00:00 Sports Biomechanics Lecture Series 02:44 Discrete vs Continuous Biomechanical Data Analysis Overview 05:58 Discrete Analysis Overview 13:48 Continuous Analysis Overview 16:45 What are the Main Types of Continuous Biomechanical Analysis? 17:59 What is Functional Data Analysis (FDA)? 20:27 Statistical Parametric Mapping (SPM) 32:33 Why is Continuous Biomechanical Analysis valid? 47:05 Problems with Discrete Biomechanical Analysis 54:50 Why does the Biomechanics Literature use Discrete Analysis? 59:47 SPM Biomechanics Software 01:00:39 Problems with Continuous Biomechanical Analysis 01:00:58 Registration of Biomechanical Data 01:05:27 Is Discrete Analysis Invalid? 01:09:14 The Biggest Problem (Exploratory Perspective) 01:14:50 Summary of Discrete vs Continuous Biomechanical Data Analysis 01:19:29 Q&A (Power Analysis, Power1D) 01:25:08 Q&A (Parametric Assumptions and Non-Parametric Testing) 01:27:49 Q&A (Controlling for Multiple Comparisons, Bonferroni Correction) 01:30:22 Q&A (Getting Started With SPM) Some key SPM links: spm1d main site: https://spm1d.org Public forum for spm1d; general statistics questions welcome! https://github.com/0todd0000/spm1d/issues Overview of continuous analysis: https://spm1d.org/doc/Theory/tests1d.html Overview of Random Field Theory: https://spm1d.org/rft1d/Theory.html Power analysis for continuous data (Python only): https://spm1d.org/power1d/ Web: https://www.stuartmcnaylor.com/sportsbiomls/ Audio: https://www.stuartmcnaylor.com/podbean/ Twitter: https://twitter.com/biomechstu Monthly research newsletter: https://www.stuartmcnaylor.com/newsletter/