Diane D Allen1. 1. Department of Physical Therapy, Samuel Merritt College, Oakland, California, USA. allendianed@gmail.com
Abstract
BACKGROUND AND PURPOSE: The Movement Continuum Theory (MCT) provides a potential basis for movement assessment and intervention, but "movement" lacks specificity. The purposes of this study were to propose and evaluate a subdivision of movement into multiple dimensions. SUBJECTS: A convenience sample of 318 adults completed a 24-item self-report measure of movement ability. METHODS: A multimethod approach was used to identify, operationalize, and test a multidimensional model of movement. Data analysis included a comparison of the fit of unidimensional and multidimensional models using item response theory methods and inspection of response patterns. RESULTS: A model specifying 6 dimensions--flexibility, strength, accuracy, speed, adaptability, and endurance--fit respondent data significantly better than the unidimensional model, even with high pair-wise correlations between dimensions. Response patterns showed large differences rather than uniform scores across dimensions for over half of the respondents. DISCUSSION AND CONCLUSION: Subdividing movement into the proposed dimensions fits the data and potentially strengthens the usefulness of the MCT as a theoretical foundation for managing movement effectively.
BACKGROUND AND PURPOSE: The Movement Continuum Theory (MCT) provides a potential basis for movement assessment and intervention, but "movement" lacks specificity. The purposes of this study were to propose and evaluate a subdivision of movement into multiple dimensions. SUBJECTS: A convenience sample of 318 adults completed a 24-item self-report measure of movement ability. METHODS: A multimethod approach was used to identify, operationalize, and test a multidimensional model of movement. Data analysis included a comparison of the fit of unidimensional and multidimensional models using item response theory methods and inspection of response patterns. RESULTS: A model specifying 6 dimensions--flexibility, strength, accuracy, speed, adaptability, and endurance--fit respondent data significantly better than the unidimensional model, even with high pair-wise correlations between dimensions. Response patterns showed large differences rather than uniform scores across dimensions for over half of the respondents. DISCUSSION AND CONCLUSION: Subdividing movement into the proposed dimensions fits the data and potentially strengthens the usefulness of the MCT as a theoretical foundation for managing movement effectively.