ArticleRasch analysis of the gross motor function measure: validating the assumptions of the rasch model to create an interval-level Measure1☆,
Section snippets
Subject selection
Data from a large prospective study of motor development in children with CP using the GMFM were used. A detailed description of the sampling procedure is presented elsewhere.12 In brief, 18 of the 19 children’s treatment centers in Ontario, Canada, and 1 additional pediatric treatment facility participated in this study. The vast majority of children with CP in Ontario attend 1 of these 19 treatment centers. Sampling was random within centers, and the overall sample is thought to be
Defining a unidimensional set of items
The choice between critical values for the infit statistic was made based on the properties of the items selected with each threshold. A critical value of 2.0 resulted in a group of 52 items, and a critical value of 3.0 resulted in a group of 68 items. The properties of these 2 groups, plus those of the original 88 items, are summarized in table 2. The result of the repeated-measures ANOVA was not statistically significant for the effect of item group, but the mean change score over 12 months
Discussion
The GMFM-88 is a widely used clinical and research instrument developed with principles of classical test theory. The decision to apply Rasch analysis to the GMFM-88 was made to determine whether we could improve the scoring and interpretability of this already established measure without sacrificing its reliability, validity, and responsiveness to change over time. Unlike new measures created with this method, working with an existing health outcome measure posed some additional challenges. We
Conclusion
The application of Rasch analysis is by no means a pure science. Because decisions must be made by using a balance between statistical and clinical reasoning, there is no single correct approach. It is therefore important to make decisions with care, considering a number of possible options before deciding on an appropriate course of action. A review of the procedures after their completion can further ensure the suitability of the decisions. Validation of the assumptions of the Rasch model,
Acknowledgements
We thank the project coordinator, Barbara Galuppi, the assessing therapists, and all the children and families who participated in the Ontario Motor Growth Study.
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Supported in part by the National Institutes of Health (grant no. R01-HD 34947).
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A 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.