Mixing modes and mode effects
|Convenor||Mrs Caroline Bayart (University Lyon 1 )|
|Coordinator 1||Mr Patrick Bonnel (University Lyon 2 - ENTPE)|
Response rates with all traditional modes are declining. It becomes difficult to carry out efficient households travel surveys because non respondents probably have different behavior from those who agree to be interviewed. To reduce this bias of non-response, we initiated a project of a web survey in parallel of the household travel survey conducted by phone in Lyon in 2012-2014. After a description of the web respondents, we characterize its travel pattern and estimate a selection bias. These results will be compared to the previous travel survey realized by web and face-to-face in Lyon in 2006.
Web surveys have become increasingly popular due to lower costs. Some surveys counter the problem of coverage error by adding an alternative mode to respondents. Whereas this increases response rates and improves coverage, the respondents’ reasoning to choose a specific mode is largely unknown. We examine this mode choice (online vs. mail) in the GESIS Panel face-to-face recruitment interview: Web literacy and affinity for technology decrease the propensity for the offline mode, controlling for age, education, and other factors. This shows that the differences between online and offline participants cannot be accounted for by simple post-stratification weighting
We report results of an experiment in a panel survey (the UK Household Panel Survey Innovation Panel) that compared the accuracy of past event recall, validated by responses at previous interview, comparing respondents who were switched to web mode with those that continued to be interviewed F2F. We also assess how asking for pre-commitment to careful answering might mitigate any potential loss of data quality resulting from switching to web. More generally, our results allow us to understand a little better how mode-switching interacts with cognitive processes underlying survey response to produce data of varying quality
Using data of two mixed-mode telephone surveys (n1=1.000/1.100; n2=1.500/1.500) we use the level-of-effort paradata to determine cross-group differences in approval rates for an indicator of subjective wellbeing. Using different approaches we determine the impact of the selection bias resulting from the number of attempts to reach a respondent and compare those for the different modes. Deriving from previous research on mixed-mode-studies we can make assumptions about the differences and similarities between landline-, dual- and mobile-only users. We will conclude with some remarks on the possible
Using a repeated measures design, the same respondents were asked questions about their sexual behaviours in a CAPI/CASI survey (the British National Survey of Sexual Attitudes & Lifestyles) and in a web survey. Although 90% of responses did not change across mode, about one-third of the variables showed significantly higher reporting of sensitive behaviours on the web. While the web appears a promising option for surveys of sensitive behaviours, mixing modes may increase measurement errors, and mode effects are likely likely to vary by question type and content, as well as with the particular mix of modes used.