The talk will summarize more of a decade of Web research on dropout in Web-based studies, including Web surveys and Web experiments. Techniques of dropout management that once were generated from experience or were derived theoretically have since been studied empirically. Such techniques include the seriousness check, the warm-up technique, the high hurdle technique, the use of dropout to detect motivational confounding, and how the dropout can be modelled. The talk will explain these techniques, their empirical basis, and their relative importance in dropout management.

A second portion of the talk will be devoted to using dropout as a dependent variable. Results from a series of experiments on factors influencing dropout will be presented.

Finally, some recommendations are developped for authors, reviewers and editors of articles reporting results from Web-based studies. It is good practice to always report dropout rates for all conditions in Internet-based research.