Absolute error

Area of Science:

• Motor Control
• Biomechanics
• Human Performance

Background:

• Composite error scores are frequently used to evaluate motor performance.
• Previous research has questioned the interpretability and validity of these composite scores.
• The A(2) statistic has been identified as a potentially flawed measure in this context.

Purpose of the Study:

• To support and expand the position that composite error scores are not interpretable indicators of motor performance.
• To critically evaluate Henry's E(2) statistic in comparison to the A(2) statistic.
• To address specific criticisms raised by Henry regarding the Schutz and Roy paper.

Main Methods:

• Statistical analysis of motor performance data.
• Comparative evaluation of different error scoring methods, specifically A(2) and E(2) statistics.
• Theoretical critique and response to existing literature and criticisms.

Main Results:

• The study supports the argument that composite error scores lack interpretability for motor performance assessment.
• Henry's E(2) statistic was found to possess similar deficiencies to the A(2) statistic.
• The E(2) statistic is therefore considered equally invalid as an indicator of motor performance.

Conclusions:

• Composite error scores, including Henry's E(2) statistic, are not valid or interpretable measures of motor performance.
• The findings challenge the utility of these statistical approaches in motor control research.
• Further research is needed to develop more robust methods for quantifying motor performance.