Nonresponse Bias Analysis of Body Mass Index Data in the Eating and Health Module
AbstractThe ERS Eating and Health Module, a supplement to the American Time Use Survey (ATUS), included questions on height and weight so that respondents’ Body Mass Index (BMI—a measure of body fat based on height and weight) could be calculated and analyzed with ATUS time-use data in obesity research. Some respondents did not report height and/or weight, and BMIs could not be calculated for them. Analyses focusing on correlations between BMIs and time use could be biased if respondents who did not report height and/or weight differ significantly in other observable characteristics from the rest of the survey respondents. However, findings reveal that any nonresponse bias associated with the height and weight data appears to be small and would not affect future analyses of BMIs and time-use pattern correlations.
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Bibliographic InfoPaper provided by United States Department of Agriculture, Economic Research Service in its series Technical Bulletins with number 131556.
Date of creation: Aug 2012
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time use; American Time Use Survey; Eating and Health Module; nonresponse bias; item nonresponse; Body Mass Index; BMI; dissimilarity index; paradata; Health Economics and Policy; Labor and Human Capital; Research Methods/ Statistical Methods;
This paper has been announced in the following NEP Reports:
- NEP-ALL-2012-09-03 (All new papers)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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