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Related Experiment Videos

Note: A statistical problem in testing invariance of movement using the phase plane model.

R Burgess-Limerick1, B Abernethy, R J Neal

  • 1Department of Human Movement Studies, The University of Queensland, St. Lucia 4072, Australia.

Journal of Motor Behavior
|December 1, 1991
PubMed
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Clinical biomechanics (Bristol, Avon)·2013

Invariant positions on a phase plane may explain interlimb coordination. However, conventional statistical testing of these hypotheses is problematic, suggesting caution is needed when interpreting phase angle invariance findings.

Area of Science:

  • Biomechanics
  • Neuroscience
  • Robotics

Background:

  • Phase plane models propose invariant positions in joint angle and velocity for interlimb coordination.
  • Conventional statistical methods are frequently used to test hypotheses derived from these models.

Purpose of the Study:

  • To identify limitations in the statistical testing of phase plane model hypotheses.
  • To propose an alternative statistical approach for analyzing interlimb coordination data.

Main Methods:

  • The study critically examines the application of conventional statistics to phase plane model hypotheses.
  • A solution utilizing directional statistics is proposed for more robust hypothesis testing.

Main Results:

  • Conventional statistical tests may yield unreliable conclusions when analyzing phase angle invariance.

Related Experiment Videos

  • Directional statistics offer a more appropriate framework for evaluating phase plane model predictions.

    • Conclusions:

    • Findings based on conventional statistics regarding phase angle invariance should be interpreted with caution.
    • Directional statistics provide a more rigorous method for assessing interlimb coordination models.