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PHYS THER
Vol. 86, No. 11, November 2006, pp. 1496-1498
DOI: 10.2522/ptj.20060002.ic
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Research Reports

Invited Commentary

Dorcas Beaton

Scientist and Director
Mobility Program Clinical Research Unit
St Michael’s Hospital
Assistant Professor
Department of Occupational Sciences, Graduate Departments of Rehabilitation Sciences and Health Policy Management and Evaluation, University of Toronto, Toronto, Ontario, Canada


Because this article has no abstract, we have provided an extract of the full text and any section headings.

The article by Stratford et al provides an excellent model for analyzing the performance of outcome measures. In the true context of construct validity, they evaluated whether the scales are measuring what they are intended to measure and they brought modern analytic techniques into the analysis to do so. They analyzed 4 performance-based measures of lower-extremity pain and function with the goal of seeing whether performance-based measures are better able to separate out the concepts of pain and function than previous experience with patient self-report measures. The work by Stratford et al is an excellent example of the need to push our measurement work and test all of the assumptions under which we believe we are measuring a certain construct.

There are 2 main points regarding the art of statistical modeling and conceptual frameworks that I would like to raise in this commentary, which the readers might consider as they . . . [Full Text of this Article]


   The Art of Statistical Modeling
 

   Conceptual Frameworks
 

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