My research revolves primarily around two broad objectives: 1. To examine the perceptual and cognitive skills involved in Major League Baseball (MLB) umpire ball--strike judgments and decisions, and 2. To develop statistical methodologies and computing processes for analyzing and visualizing MLB pitch-level data.
I have a website/blog at http://aaronbaggett.com/. I also maintain several GitHub repositories at https://github.com/aaronbaggett where you can find additional resources such as journal articles, presentations, et al.
I'm originally from Levelland, TX. There's even a not-so-flattering song about my hometown. My wife, Lisa R. Baggett, M.D. is an anesthesiologist in the Baylor Scott & White Hospital system. We have a daughter named Rhett Elisabeth, born in December 2013 and a son named Keller Ellis, born in April 2016. In my free time I enjoy conventional and fly fishing, smoking meat in my custom off-set smoker, listening to My Morning Jacket, and following the Miserable Men of Instagram.
Subjects TaughtPSYC 2314, PSYC 2316, PSYC 3312
Degrees EarnedPh.D., Baylor University (2014) <br> M.Ed. (2006), Hardin-Simmons University, B.B.S (2002), Hardin-Simmons University
- Statistical methods and data visualization
- Perceptual-cognitive skills among expert performers
- Applied multiple regression analysis, multivar