Journal article
Rasch analysis of the gross motor function measure: validating the assumptions of the rasch model to create an interval-level Measure1 1A commercial party with a direct financial interest in the results of the research supporting this article has conferred or will confer a financial benefit upon the authors or one or more of the authors. The authors will receive royalties from the sale of a book published by Mac Keith Press that describes the development of the GMFM-66.
Abstract
OBJECTIVES: To describe the Rasch analysis of the Gross Motor Function Measure (GMFM-88) and to demonstrate how the assumptions of unidimensionality, sample-free measurement, and test-free measurement were validated to create an interval level measure.
DESIGN: Cross-sectional and longitudinal (12-mo) data from a prospective study of motor development in children with cerebral palsy (CP) were used for the analysis.
Authors
Avery LM; Russell DJ; Raina PS; Walter SD; Rosenbaum PL
Journal
Archives of Physical Medicine and Rehabilitation, Vol. 84, No. 5, pp. 697–705
Publisher
Elsevier
Publication Date
May 2003
DOI
10.1016/s0003-9993(02)04896-7
ISSN
0003-9993