1. Rasch analysis of the gross motor function measure: validating the assumptions of the rasch model to create an interval-level Measure1 
Lisa M Avery, BEng, Dianne J Russell, MSc, Parminder S Raina, PhD, Stephen D Walter, PhD, Peter L Rosenbaum, MD, FRCP(C) 
Archives of Physical Medicine and Rehabilitation 
Volume 84, Issue 5, Pages (May 2003)
DOI: /S (02)

2. Fig 1
The decision process used to select the most appropriate Rasch model for the GMFM. Note that all models are discussed elsewhere.10
Archives of Physical Medicine and Rehabilitation  , DOI: ( /S (02) )

3. Fig 2 Illustration of the algorithm used to score the GMFM-66.
Archives of Physical Medicine and Rehabilitation  , DOI: ( /S (02) )

4. Fig 3
Illustration of the agreement between true and estimated ability over 100 simulations for varying numbers of items tested.
Archives of Physical Medicine and Rehabilitation  , DOI: ( /S (02) )

5. Fig 4 Example of an item map by difficulty order for the GMFM-66.
Archives of Physical Medicine and Rehabilitation  , DOI: ( /S (02) )