The role of a strength and conditioning coach (SCC) has evolved over the last 10 years to accommodate the large influx of data now available. As such, today's SCC must extend their skill set to include data analysis, understanding the validity and utility of p values, effect sizes, confidence intervals, and terms such as the smallest worthwhile change, and minimal difference. The aim of part one of this 2-part review is to define and discuss the utility of null hypothesis significance testing, p values, and error rates. In part 2, we introduce effect sizes, measures of variability, and confidence intervals, culminating in recommendations as to which may be the most viable options within the context of performance-based sport, and thus potential methods to report group-based changes.
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