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Web Survey Bibliography

Title Mode Effects in American Trends Panel: Bayesian Analysis of a Cross-classified Item-person Mixed Model
Year 2016
Access date 04.06.2016
American Trends Panel is a probability panel with RDD recruitment developed by Pew Research Center and Abt SRBI. Over the life of the panel, surveys have been conducted primarily via web mode, with mail mode for those who do not have access to the Internet or do not provide an email address. We analyze the results of the July 2014 wave (Wave 5) that included a comprehensive, large-scale mode-of-interview experiment that randomly assigned web respondents to telephone and web modes, with approximately 1,500 respondents in each mode. To quantify the contributions to the mode effects of the different question characteristics in the 75-question instrument, we build a cross-classified model with effects of person and question characteristics to identify the properties of survey questions that make them susceptible to mode effects, as well as the demographic groups that tend to exhibit mode effects. The model was estimated by Markov chain Monte Carlo computational Bayesian methods using a combination of R and JAGS packages. We discuss how the magnitude of the mode effect is associated with the properties of the survey questions, such as question format, topic, the potential of social desirability; and with personal characteristics, such as education, race, and the level of political engagement.
Year of publication2016
Bibliographic typeConferences, workshops, tutorials, presentations