Web Survey Bibliography
Title Variance Estimation for Surveys from Internet Panels
Author Rivers, D.
Year 2015
Access date 16.06.2016
Abstract
While the primary concern for surveys using opt-in Internet panels is possible bias from self-selection, variance estimates are still useful regardless of whether the estimates are unbiased. Consistent asymptotic variance estimates can be obtained under weak conditions. These are compared to empirical estimates of sampling variability, along with estimates of the components of mean square error due to bias and sampling variability. The results are also applicable to other types of non-probability samples, such as low-response telephone polls.
Access/Direct link Joint Statistical Meetings 2015
Year of publication2015
Bibliographic typeConferences, workshops, tutorials, presentations
Web survey bibliography - Joint Statistical Meetings 2015 (7)
- The Matrix Lives On: Improving Grids for Online Surveys; 2015; Thomas, R. K.; Barlas, F. M.; Graham, P.; Subias, T.
- Variance Estimation for Surveys from Internet Panels ; 2015; Rivers, D.
- Sensitivity Analysis of Bias of Estimates from Web Surveys with Nonrandomized Panel Selection; 2015; Beresovsky, V.
- Detecting Fraud in a Survey Sample Recruited Online; 2015; Brown, D.; Dever, J. A.; Augustson, E.; Squiers, L.
- Survey Treatments and Response Modes: Bayesian Survival Analysis with Competing Risks; 2015; Minato, H.
- Purposefully Mobile: Experimentally Assessing Device Effects in an Online Survey ; 2015; Barlas, F. M.; Thomas, R. K.; Graham, P.
- Use of Smartphones as a New Survey Mode: A Feasibility Study ; 2015; Hu, S.; Freedner-Maguire, N.; Dayton, J.; Neff, L.