Web-push strategies for probability-based mixed-mode panel surveys

Probability-based mixed-mode panels combine web surveys with other data collection modes to collect high-quality data in a cost-efficient manner. Although such panel studies offer an offline mode to individuals who are unable or unwilling to complete web surveys, surveyors are typically interested in having as many panelists as possible participate via the least expensive web mode. By pushing panel members to use the web mode rather than a more expensive mode alternative, mixed-mode panels potentially improve the balance of survey errors and survey costs. The goal of this dissertation is to explore and further develop web-push strategies for probability-based mixed-mode panels. In three separate studies, I investigate how the inclusion strategy of internet users in the mail mode affects data quality in the recruitment of a mixed-mode panel, test strategies to push panel members from the mail mode to the web, and explore why some panel members are willing to switch to the web mode while others are not