Using Ratio Data in Strength and Conditioning: Component Parts Hold the Key.

Area of Science:

• Sports Science
• Biomechanics
• Human Movement

Background:

• Ratio data are widely used in strength and conditioning for research and practice.
• Common metrics derived from strength and jump testing are frequently employed in athlete monitoring.
• Potential issues with ratio data, such as increased measurement error, may be overlooked by practitioners.

Purpose of the Study:

• To highlight the challenges associated with using ratio data in strength and conditioning.
• To provide practical examples illustrating these challenges.
• To offer viable solutions for practitioners regarding the use of ratio data.

Main Methods:

• Review of existing literature on ratio data in strength and conditioning.
• Illustrative examples of challenges in monitoring ratio data.
• Discussion of concurrent monitoring strategies for ratios and component parts.

Main Results:

• Ratio data often exhibit higher measurement error compared to their individual component parts.
• Changes in ratio data can occur through multiple pathways, complicating interpretation.
• Concurrent monitoring of ratios and component parts can enhance decision-making.

Conclusions:

• Practitioners should be aware of the inherent measurement error in ratio data.
• Understanding how ratio data can change is crucial for accurate interpretation.
• Simultaneously analyzing ratios and their component parts provides a more robust approach to athlete monitoring and decision-making.