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Web Survey Bibliography

Title Random versus Systematic Error in a Mixed Mode Online-Telephone Survey
Author Hox, J., Scherpenzeel, A., Boeve, A., Boeve, A., de Leeuw, E. D.
Year 2013
Access date 07.07.2013

To reduce nonresponse and coverage error at affordable costs, mixed-mode surveys are often advocated. The final goal of mixed modes is combining data from different sources, which assumes that data can be validly combined. Online surveys are a relatively recent tool for data collection and as a result mode comparisons with online surveys are still scarce. In this paper we explicitly investigate error structures for a combined online and telephone survey. This popular mixed-mode design is not altogether unproblematic from a measurement error perspective, due to differences in audio and visual channels of communication.

When attitudes or other subjective phenomena are studied, hard validation criteria (e.g., record checks) are not available. We therefore used a direct model-based approach (multitrait-multimethod or MTMM) for the analysis of the error structure in this study. The MTMM model allows for a statistical separation of substantive or trait variance, method variance, and random or error variance. The data were collected using the Dutch LISS-panel, which is a high quality, probability-based Internet panel. Panel members were randomly assigned to one of two modes: a computer assisted telephone interview or a web survey. Mode of data collection is the Method factor and within each mode the same five questions (Traits) were posed. One month later the same respondents were asked the same questions, but now in a uni-mode (web) survey. This design enables us to disentangle systematic and random error in both telephone and web survey and to investigate ...

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Year of publication2013
Bibliographic typeConferences, workshops, tutorials, presentations
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Web survey bibliography - Hox, J. (23)