Web Survey Bibliography
Title Exploiting analytical advances. Minimizing the biases associated with Internet-based surveys of non-random samples
Access date 30.11.2004
Abstract This paper describes exploiting new analytic advances on Internet-based surveys of non-random samples. The empirical evidence presented indicate that Internet-based forecasts in the 2000 U.S. elections were two times more accurate than telephone forecasts in common races, and that propensity score adjustment, a technique designed to minimize biases associated with non-random samples, was a main reason for the difference. As the credibility of any predictive research approach may hinge on its ability to pass this "acid test", the evidence is important, with implications on research methods other than Internet-based surveys. For instance, the technique of propensity score adjustment could also be exploited by research organizations with panels measuring Internet activity, off-line purchase behavior, and TV viewing behavior. Such organizations could depend on propensity score adjustment to link attitudinal, opinion and other information to behavioral information collected through these panels without compromising data quality or substantially increasing the cost of data collection.
Access/Direct link Homepage - conference (abstract)
Bibliographic typeConferences, workshops, tutorials, presentations
Year of publication2001
Web Survey Bibliography - Smith, R. (9)
- Panel Discussion: Digital Fingerprinting: An Online Quality Solution and Its Implications; 2009; Smith, R., Chadwick, S., Davis, H., Berlin, D. L., Zalis, S.
- Panel and data quality: Comparing metrics and assessing claims; 2006; Smith, R., Hofman Brown, H.
- Assessing the Quality of Data from Online Panels: Moving Forward wiht Confidence; 2005; Smith, R.
- To Vote or Not to Vote?: A Comparison of Vote Intention Measures; 2005; Thomas, R. K., Sanders, M. G., Smith, R., Behnke, C. S.
- Not Sure About "Don't Know"?: Effects of Response Choice in Mixed Mode Surveys; 2002; Terhanian, G., Thomas, R. K., Bremer, J., Smith, R.
- Exploiting analytical advances. Minimizing the biases associated with Internet-based surveys of non-...; 2001; Terhanian, G., Thomas, R. K., Bremer, J., Smith, R.
- Reducing Error Associated with Non-Probability Sampling through Propensity Scores: Evidence from Election...; 2001; Terhanian, G., Marcus, S., Bremer, J., Smith, R.
- The Accuracy of Harris Interactive's Pre-Election Polls of 2000; 2001; Terhanian, G., Taylor, H., Bremer, J., Siegel, J.W., Smith, R.
- A Propensity Score Adjustment for Selection Bias in Online Surveys; 2000; Bremer, J., Terhanian, G., Smith, R.