Web Survey Bibliography

Title On Bias Adjustments for Web Surveys
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.
Year of publication2014
Bibliographic typeConferences, workshops, tutorials, presentations
Print

Web survey bibliography - Canada (166)

Page:
Page: