TO THE QUESTION OF USING HIERARCHICAL LINEAR MODELING IN THE SCIENTIFIC INTERPRETATION OF PHYSICAL EXERCISES RESEARCH
Analyzing data in the exercise sciences can be challenging when trying to account for physical changes brought about by maturation (e.g., growth in height, weight, heart/lung capacity, muscle-to-fat ratio). In this paper, we present an argument for using hierarchical linear modeling as an approach to analyzing physical performance data. Using an applied example from Butterfield, Lehnhard, Lee, and Coladarci, we will show why hierarchical linear modeling is an appropriate analysis technique.