Bayesian analysis using region of practical equivalence (ROPE) and Bayes factors offers a more informative approach to evaluating null effects in resistance training research compared to traditional null hypothesis significance testing, enabling clear differentiation between absence of evidence and evidence of absence.

When measuring changes in muscle growth or strength, there's always some natural variation in how people respond. Instead of just asking if the change is big enough to be considered real, this method calculates how likely it is that the true effect falls within a range that doesn't matter — like whether a tiny difference in arm position actually affects muscle growth. This lets scientists say for sure when an effect is truly absent, not just when they didn't have enough data to notice it.