Manual coding of text data from open-ended questions into different categories is time
consuming and expensive. Automated coding uses statistical/machine learning to train on a …

Web surveys are becoming increasingly popular but tend to have more breakoffs compared
to the interviewer-administered surveys. Survey breakoffs occur when respondents quit the …

Panel surveys provide particularly rich data for implementing adaptive or responsive survey
designs. Paradata and survey data as well as interviewer observations from all previous …

Longitudinal studies are subject to nonresponse when individuals fail to provide data for
entire waves or particular questions of the survey. We compare approaches to nonresponse …

Panel surveys are an important tool for social science researchers, but nonresponse in any
panel wave can significantly reduce data quality. Panel managers then attempt to identify …

Background Surveys have been used worldwide to provide information on the COVID-19
pandemic impact so as to prepare and deliver an effective Public Health response …

Survey scientists increasingly face the problem of high-dimensionality in their research as
digitization makes it much easier to construct high-dimensional (or “big”) data sets through …

Selection bias is an ongoing concern in large-scale panel surveys where the cumulative
effects of unit nonresponse increase at each subsequent wave of data collection. A second …

Responsive survey design (RSD) has gained increasing attention over the last decade.
Although survey researchers have proposed some RSDs that rely on model predictions to …

Web survey respondents quit survey partway through more frequently than in other survey
modes. This pre-mature quitting event is called survey breakoff. It causes missing data …