ABSTRACT
Key physical performance indicators derived from performance assessments within Strength and conditioning (S&C) are commonly measured using continuous-scale data, such as vertical jump height, and sprint speed. This chapter considers some key concepts and terms, before illustrating with example data sets some appropriate statistical methods to assess concurrent validity and test-retest reliability. It includes control for measurement error, making measurements more repeatable and increasing athletes’ ability to inform the coaching process. A common practice within S&C is to calculate the product-moment correlation coefficient. Alternatively, a widely used method within the medical literature is the 95% limits of agreement (LOA). The key principle of LOA is to examine both systematic bias and random error. Calculating the within-subject standard deviation (SDws) provides an index of measurement error which allows us to make a simple, meaningful and practical interpretation regarding the observed change.
