Nonresponse Bias Analysis of Body Mass Index Data in the Eating and Health Module
The 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.
|Date of creation:||Aug 2012|
|Contact details of provider:|| Postal: 1400 Independence Ave.,SW, Mail Stop 1800, Washington, DC 20250-1800|
Web page: http://www.ers.usda.gov/
More information through EDIRC
References listed on IDEAS
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.:
- Burkhauser, Richard V. & Cawley, John, 2008.
"Beyond BMI: The value of more accurate measures of fatness and obesity in social science research,"
Journal of Health Economics,
Elsevier, vol. 27(2), pages 519-529, March.
- John Cawley & Richard V. Burkhauser, 2006. "Beyond BMI: The Value of More Accurate Measures of Fatness and Obesity in Social Science Research," NBER Working Papers 12291, National Bureau of Economic Research, Inc.
- Harley Frazis & Jay Stewart, 2012. "How to Think about Time-Use Data: What Inferences Can We Make about Long- and Short-Run Time Use from Time Diaries?," Annals of Economics and Statistics, GENES, issue 105-106, pages 231-245.
- Harley Frazis & Jay Stewart, 2010. "How to Think About Time-Use Data: What Inferences Can We Make About Long- and Short-Run Time Use from Time Diaries?," Working Papers 442, U.S. Bureau of Labor Statistics.
- Frazis, Harley & Stewart, Jay, 2010. "How to Think About Time-Use Data: What Inferences Can We Make About Long- and Short-Run Time Use from Time Diaries?," IZA Discussion Papers 5306, Institute for the Study of Labor (IZA).
- Hamrick, Karen S. & Hopkins, David & McClelland, Ket, 2008. "How Much Time Do Americans Spend Eating?," Amber Waves, United States Department of Agriculture, Economic Research Service, June.
- Danubio, Maria Enrica & Miranda, Gaetano & Vinciguerra, Maria Giulia & Vecchi, Elvira & Rufo, Fabrizio, 2008. "Comparison of self-reported and measured height and weight: Implications for obesity research among young adults," Economics & Human Biology, Elsevier, vol. 6(1), pages 181-190, March.
- Rebecca R. Andridge & Roderick J. A. Little, 2010. "A Review of Hot Deck Imputation for Survey Non-response," International Statistical Review, International Statistical Institute, vol. 78(1), pages 40-64, 04.
- Kyureghian, Gayaneh & Capps, Oral, Jr. & Nayga, Rodolfo M., Jr., 2011. "General Remedies to Local Problems: An Applied Researcher’s Manual to Multiple Imputation," 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania 108266, Agricultural and Applied Economics Association. Full references (including those not matched with items on IDEAS)
When requesting a correction, please mention this item's handle: RePEc:ags:uerstb:131556. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (AgEcon Search)
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.