Web Survey Bibliography
Because survey modes usually involve different sampling designs, estimates of mode effects are often confounded with differences in sample composition. We conducted an experiment where 1,000 subjects were randomized between two interview modes: a self-administered Web survey and the identical survey conducted by an interviewer. The randomization allows unbiased estimation of mode effects. Using a latent class model, we show that interviewers tend to elicit less extreme responses on attitudinal scales and lower correlations among items than in the self-administered mode. These differences cannot be attributed to sample composition and explain some anomalous results found in earlier studies.
JSM Homepage (abstract)
Web survey bibliography - Rivers, D. (11)
- Variance Estimation for Surveys from Internet Panels ; 2015; Rivers, D.
- Polling Error in the 2015 UK General Election: An Analysis of YouGov’s Pre and Post-Election Polls...; 2015; Wells, A.; Rivers, D.
- Estimating Mode Effects Without Bias: A Randomized Experiment to Compare Mode Effects Between Face-to...; 2013; Rivers, D., Vavreck, L.
- Using Web Survey Panels to Estimate Population Characteristics: A Comparison of Alternative Approaches...; 2013; Rivers, D.
- The Persistence of Attentiveness in Web Surveys: A Panel Study; 2012; Berinsky, A., Luks, S., Rivers, D.
- AAPOR Report on Online Panels; 2010; P., Blumberg, S. J., Brick, J. M., Rivers, D. et. al.Baker, R. P.
- Improving the Efficiency of Web Survey Experiments; 2008; Luks, S., Rivers, D.
- The “Professional Respondent” Problem in Web Surveys; 2008; Rivers, D.
- Sampling for web surveys; 2007; Rivers, D.
- Understanding people. Sample matching; 2006; Rivers, D.
- Sample matching. Representative sampling from Internet panels; 2006; Rivers, D.