Webinar Session 6
Approaches to modeling the measurement error
structure of self-report physical activity data
Wednesday, July 21, 2010
4:20-5:00 p.m. EDT
Registration Web site will open late June 2010
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Sarah Nusser, Ph.D.
Iowa State University
All self-report instruments will contain a degree of measurement error that cannot be reduced with additional instrument testing and refinement. In this case, it is important to evaluate the structure of this measurement error and determine the magnitude of the effect the error has on measures of association. Methods to correct measures of association for measurement error are becoming more frequently used in epidemiologic studies of diet. Few examples of error analyses are available in the physical activity measurement literature. The approaches to modeling measurement error are described to promote the use of these methods in physical activity research.