Web Survey Bibliography
Title Reducing Error Associated with Non-Probability Sampling through Propensity Scores: Evidence from Election 2000
Access date 20.04.2004
Abstract The primary aim of this paper is to explain how and why it is possible to produce trustworthy information through Internet-based research; specifically, through Internet-based research that relies upon the cooperation of respondents recruited by means other than probability sampling. The approach described here benefits from the conscientious thinking of statisticians who have developed sturdy statistical substitutes for the randomization of random assignment. To support our contention, we compare the accuracy of 54 pre-election statewide forecasts made by Harris Interactive through surveys of non-probability samples of Internet users in the 2000 election with 118 pre-election forecasts made by polling organizations through random-digit-dialing procedures. We also compare the Harris Interactive nationwide forecast with those of ten polling organizations. The evidence presented suggests that the Harris Interactive forecasts were approximately 47% more accurate than the telephone forecasts. A secondary aim is to explain how public opinion researchers might exploit propensity score to improve responses elicited through probability samples.
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.