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Research Article  |   April 1993
The Assessment of IADL Motor Skills: An Application of Many-Faceted Rasch Analysis
Author Affiliations
  • Anne G. Fisher, ScD, OTR L, FAOTA, is Professor, Occupational Therapy Department, 200 Occupational Therapy Building, College of Applied Human Sciences, Colorado State University, Fort Collins, Colorado 80523. At the time of the American Occupational Therapy Association/American Occupational Therapy Foundation Symposium on Measurement and Assessment, she was Director, Center of Research and Measurement, Department of Occupational Therapy, College of Associated Health Professions, University of Illinois at Chicago
Article Information
Assessment Development and Testing / Rehabilitation, Participation, and Disability / Practice
Research Article   |   April 1993
The Assessment of IADL Motor Skills: An Application of Many-Faceted Rasch Analysis
American Journal of Occupational Therapy, April 1993, Vol. 47, 319-329. doi:10.5014/ajot.47.4.319
American Journal of Occupational Therapy, April 1993, Vol. 47, 319-329. doi:10.5014/ajot.47.4.319
Abstract

Traditional methods of developing tests have been driven by item content specification and have relied on the use of summed ordinal scores in an attempt to create a quantitative index of ability. There are fundamental problems with this approach to test development. The first problem is that the summing of qualitative ordinal counts to create a total score does not result in a number that is a valid means of making quantitative comparisons of performances. The second problem is that reliance on content experts does not ensure that the test items indeed test the construct in question. As a result, the development of functional assessments based on Rasch measurement models is becoming a preferred method among rehabilitation professionals for constructing tests. Rasch measurement models offer an alternative approach to instrument development that results in unidimensional linear measures based on additive numbers. Rasch analyses also generate goodness-of-fit statistics that can be used to perform confirmatory construct validity analyses of the constructed scales based on (a) formulating expectations about what should happen when a group of persons take a test, and then (b) confirming that the test items fit that model.

This paper describes how the many-faceted Rasch model was used to develop the motor scale of the Assessment of Motor and Process Skills (AMPS) (Fisher, 1992). The process of beginning test development with a theory of expectations related to a constructed scale and then confirming that the scale conforms to these expectations also is demonstrated.