Webinar

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Session 1 - A framework for physical activity as a complex and multidimensional behavior
Session 2 - A typology for linking self-report methods to study design and data modeling strategies
Session 3 - A checklist for evaluating the validity and suitability of existing physical activity and sedentary behavior self-report instruments
Session 4 - Language translation and cultural adaptation of self-report instruments for cross-cultural comparisons
Session 5 - Approaches to physical activity and sedentary behavior self-report instrument development
Session 6 - Approaches to modeling the measurement error structure of self-report physical activity data

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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Speakers

Sarah Nusser, Ph.D.
Iowa State University

Background

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.

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