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 - Joint Statistical Meetings 2013 (6)
- Assessing Nonresponse Bias in the Green Technologies and Practices Survey; 2013; Meekins, B., Sverchkov, M., Stang, S.
- Using an Item Response Theory Approach to Measure Survey Mode of Administration Effects: Analysis of...; 2013; Mariano, L. T., Elliott, M. N.
- The Role of Mode Preference Questions in Predicting Mode-Specific Response Propensities; 2013; Lynn, P., Kaminska, O.
- Model-Based Mode of Data Collection Switching from Internet to Mail in the American Community Survey; 2013; Chesnut, J.
- Estimating Mode Effects Without Bias: A Randomized Experiment to Compare Mode Effects Between Face-to...; 2013; Rivers, D., Vavreck, L.
- Mode effect analysis and adjustment in a split-sample mixed-mode Web/CATI survey; 2013; Kolenikov, S., Kennedy, C.