Using item response modeling methods to test theory related to human performance.

Area of Science:

• Human performance studies
• Psychometrics
• Movement science

Background:

• Measuring latent constructs like perception and motivation is crucial for human performance theories but challenging.
• Item response modeling (IRM) provides a method to directly model these latent constructs, aiding theoretical development and testing.

Purpose of the Study:

• To apply IRM methods for the initial testing of the Movement Continuum Theory.
• To operationalize a key construct from the theory using a generated instrument.
• To assess the relationship between the theorized construct and empirical data.

Main Methods:

• Developed a 24-item self-report questionnaire, the Movement Ability Measure.
• Collected data from over 300 participants with diverse movement abilities (aged 18-101).
• Utilized Item Response Modeling (IRM) and Wright Maps for data analysis.

Main Results:

• Wright Maps demonstrated a strong link between the Movement Continuum Theory's construct and the collected empirical data.
• Analysis using IRM methods provided partial, or mixed, support for the core principles of the theory.
• The Movement Ability Measure successfully operationalized the targeted construct.

Conclusions:

• IRM is a valuable tool for testing theories of human performance and measuring latent constructs.
• The Movement Continuum Theory shows promise but requires further refinement based on empirical evidence.
• Future research should continue to validate and expand upon the Movement Continuum Theory using psychometric approaches.