In these posts, I’ve used various types of advanced statistical techniques to analyze NFL data, all of which fall under the purview of structural equation modeling (SEM).
The first installment in a measurement validity evaluation of ANY/A. Continue Rounding
How much of a team’s SRS in a given season is due to characteristics of the head coaching regime? Continue Rounding
Missing data is a fever for NFL age curves, and the only cure is more LGM. Continue Rounding
Why latent growth modeling is ideal for studying NFL player development over time. Continue Rounding
How much of variation in Pythagorean Win Percentage since 1970 is due to head coach differences, and what does this imply for methodology? Continue Rounding
Why multilevel modeling handles NFL variance better than OLS regression. Continue Rounding
Why multilevel modeling is better than OLS regression in an NFL context. Continue Rounding
