Web Survey Bibliography
Title On Bias Adjustments for Web Surveys
Author Fan, L.; Lou, W.; Landsman, V.
Year 2015
Access date 22.12.2015
Full text pdf (469 KB)
Abstract Web surveys exclude the entire non-internet population and often have low response rates. Therefore, statistical inference based on Web survey samples will require availability of additional information about the non-covered population, careful choice of survey methods to account for potential biases, and caution with interpretation and generalization of the results to a target population. In this paper, we focus on non-coverage bias, and explore the use of weighted estimators and hot-deck imputation estimators for bias adjustment under the ideal scenario where covariate information was obtained for a simple random sample of individuals from the non-covered population. We illustrate empirically the performance of the proposed estimators under this scenario. Possible extensions of these approaches to more realistic scenarios are discussed.
Access/Direct link Homepage - conference (Abstract) / (Full text)
Year of publication2014
Bibliographic typeConferences, workshops, tutorials, presentations
Web survey bibliography - 2014 International Methodology Symposium (5)
- On Bias Adjustments for Web Surveys; 2015; Fan, L.; Lou, W.; Landsman, V.
- Are they willing to use the web? First results of a possible switch from PAPI to CAPI/CAWI in an establishment...; 2015; Ellguth, P.; Kohaut, S.
- Web panel surveys – a challenge for official statistics; 2015; Svensson, J.
- Estimation with Non-probability Surveys and the Question of External Validity; 2015; Dever, J. A.; Valliant, R. L.
- Measurement Properties of Web Surveys; 2015; Tourangeau, R.