Evaluation of the Functional Mobility Assessment Through Rasch Analysis

Published:December 03, 2019DOI:



      To determine the effectiveness of the Functional Mobility Assessment (FMA) when measuring an individual’s satisfaction with functional mobility.


      Secondary analysis of cross-sectional self-report data.


      Assistive technology center within an academic medical center in the Midwestern United States.


      Individuals with a disability that use or plan to use a mobility device (N=871).


      Not applicable.

      Main Outcome Measures



      All FMA items (10/10) contributed to a single unidimensional construct with good to strong fit to a unidimensional confirmatory factor model. Rasch analysis revealed that the rating scale, majority of persons (>90%), and all items fit the Rasch measurement model. The FMA demonstrated adequate reliability (person reliability=0.85) and separated persons into 3 strata: those with high, medium, and low satisfaction with functional mobility.


      The FMA is an appropriate measure for use in research and clinical settings to quantify satisfaction with functional mobility among mobility device users.

      List of abbreviations:

      CFA (confirmatory factor analysis), FMA (Functional Mobility Assessment), PROM (patient-reported outcome measure), RMSEA (root mean square error of approximation), SRMR (standardized root mean square residual)


      To read this article in full you will need to make a payment

      Purchase one-time access:

      Academic & Personal: 24 hour online accessCorporate R&D Professionals: 24 hour online access
      One-time access price info
      • For academic or personal research use, select 'Academic and Personal'
      • For corporate R&D use, select 'Corporate R&D Professionals'


      Subscribe to Archives of Physical Medicine and Rehabilitation
      Already a print subscriber? Claim online access
      Already an online subscriber? Sign in
      Institutional Access: Sign in to ScienceDirect


        • Kumar A.
        • Schmeler M.R.
        • Karmarkar A.M.
        • et al.
        Test-retest reliability of the functional mobility assessment (FMA): a pilot study.
        Disabil Rehabil Assist Technol. 2013; 8: 213-219
        • Mills T.
        • Holm M.B.
        • Trefler E.
        • Schmeler M.
        • Fitzgerald S.
        • Boninger M.
        Development and consumer validation of the Functional Evaluation in a Wheelchair (FEW) instrument.
        Disabil Rehabil. 2002; 24: 38-46
        • Tabachnick B.
        • Fidell L.
        Using multivariate statistics.
        6th ed. Harlow, Pearson2014
        • Hu L.
        • Bentler P.M.
        Fit indices in covariance structure modeling: sensitivity to underparameterized model misspecification.
        Psychol Methods. 1998; 3: 424
        • Linacre J.M.
        Optimizing rating scale category effectiveness.
        J Appl Meas. 2002; 3: 85-106
        • Wright B.
        Reasonable mean-square fit values.
        Rasch Meas Trans. 1994; 8: 370
        • Linacre J.M.
        Reliability and separation of measures.
        (Available at:)
        • Nunnally J.C.
        Psychometric theory.
        McGraw-Hill, New York1967
        • Linacre J.M.
        Table 1 Wright item-person maps of the latent variable.
        (Available at:)
        Date accessed: April 17, 2019