Rasch analysis of the Gross Motor Function Measure: validating the assumptions of the Rasch model to create an interval-level measure

Arch Phys Med Rehabil. 2003 May;84(5):697-705. doi: 10.1016/s0003-9993(02)04896-7.

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.

Setting: Motor assessments were completed at 18 children's ambulatory rehabilitation centers in Ontario, Canada, by pediatric physical therapists trained in the use of the GMFM-88.

Participants: The first 537 of 682 children enrolled into a longitudinal study of motor development in children with CP. Children had a mean age of 6.43+/-2.75 years (range, 11mo-12y) with varying types and severity of CP.

Interventions: Not applicable.

Main outcome measure: The GMFM-88.

Results: The Rasch analysis, in conjunction with clinical decisions, identified 66 items from the GMFM-88 that formed a unidimensional measure (GMFM-66). Assumptions of sample-free and test-free measurement were confirmed, and a user-friendly scoring program was developed.

Conclusions: The GMFM-66 is an interval-level measure of gross motor function for children with CP; it should improve the scoring, interpretation, and overall clinical and research utility over the original GMFM.

Publication types

  • Research Support, U.S. Gov't, P.H.S.
  • Validation Study

MeSH terms

  • Algorithms
  • Analysis of Variance
  • Cerebral Palsy / classification
  • Cerebral Palsy / diagnosis*
  • Cerebral Palsy / physiopathology*
  • Child
  • Child Development*
  • Child, Preschool
  • Cross-Sectional Studies
  • Data Interpretation, Statistical*
  • Decision Trees
  • Female
  • Humans
  • Infant
  • Likelihood Functions*
  • Longitudinal Studies
  • Male
  • Motor Skills*
  • Ontario
  • Psychometrics
  • Severity of Illness Index*