Web Survey Bibliography
In the fall of 2011 the Bureau of Labor Statistics fielded a survey to assess the number and nature of green technology jobs in the U.S. This mixed-mode (mail, web, phone, fax) survey collected information on occupation and wages of workers who spent more than half of their time using green technologies or practices (GTP). Approximately 35,000 establishments were selected from the population stratified by geography, industry, and ownership. About 30 percent of sampled establishments either did not respond to the survey or did not provide sufficient information. We seek to improve the current practice to account for nonresponse where estimates are adjusted to employment (from frame) within cells based on sample design factors. This work uses logistic regression to identify the "best" response propensity model, which modestly predicts response propensity. It is difficult to determine whether response is MAR, with additional adjustment unnecessary, or NMAR, where the auxiliary information fails to account for bias in the outcome estimate. We use methodology based on Sverchkov (2008 & 2011) in order to determine that nature of the nonresponse.
JSM Homepage (abstract)
Web survey bibliography - Joint Statistical Meetings 2013 (6)
- Assessing Nonresponse Bias in the Green Technologies and Practices Survey; 2013; Meekins, B., Sverchkov, M., Stang, S.
- Using an Item Response Theory Approach to Measure Survey Mode of Administration Effects: Analysis of...; 2013; Mariano, L. T., Elliott, M. N.
- The Role of Mode Preference Questions in Predicting Mode-Specific Response Propensities; 2013; Lynn, P., Kaminska, O.
- Model-Based Mode of Data Collection Switching from Internet to Mail in the American Community Survey; 2013; Chesnut, J.
- Estimating Mode Effects Without Bias: A Randomized Experiment to Compare Mode Effects Between Face-to...; 2013; Rivers, D., Vavreck, L.
- Mode effect analysis and adjustment in a split-sample mixed-mode Web/CATI survey; 2013; Kolenikov, S., Kennedy, C.