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Adjusting for Measurement Error and Nonresponse in Physical Activity Surveys: A Simulation Study Cover

Adjusting for Measurement Error and Nonresponse in Physical Activity Surveys: A Simulation Study

By: Nicholas Beyler and  Amy Beyler  
Open Access
|Jun 2017

Abstract

Adult Americans are encouraged to engage in at least 150 minutes of moderate to vigorous physical activity (MVPA) each week. National surveys that collect physical activity data to assess whether or not adults adhere to this guideline use self-report questionnaires that are prone to measurement error and nonresponse. Studies have examined the individual effects of each of these error sources on estimators of physical activity, but little is known about the consequences of not adjusting for both error sources. We conducted a simulation study to determine how estimators of adherence to the guideline for adults to engage in 150 minutes of MVPA each week respond to different magnitudes of measurement and nonresponse errors in self-reported physical activity survey data. Estimators that adjust for both measurement and nonresponse errors provide the least amount of bias regardless of the magnitudes of measurement error and nonresponse. In some scenarios, the naïve estimator, which does not adjust for either error source, results in less bias than estimators that adjust for only one error source. To avoid biased physical activity estimates using data collected from self-report questionnaires, researchers should adjust for both measurement error and nonresponse.

Language: English
Page range: 533 - 550
Submitted on: Jan 1, 2016
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Accepted on: Apr 1, 2017
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Published on: Jun 12, 2017
Published by: Sciendo
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2017 Nicholas Beyler, Amy Beyler, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.