This review focuses on recent methodological and technological developments in survey
data collection. Surveys are facing unprecedented challenges from both societal and …

The paper reviews the growing literature on responsive and adaptive designs for surveys.
These designs encompass various methods for managing data collection, including front …

Predictive modeling methods from the field of machine learning have become a popular tool
across various disciplines for exploring and analyzing diverse data. These methods often do …

Adaptive survey designs (ASDs) provide a framework for data-driven tailoring of data
collection procedures to different sample members, often for cost and bias reduction. People …

In most surveys all sample units receive the same treatment and the same design features
apply to all selected people and households. In this paper, it is explained how survey …

The increasing efforts and costs required to achieve survey response have led to a stronger
focus on survey data collection monitoring by means of paradata and to the rise of adaptive …

Recent decades have seen a gradual shift away from surveys in which all procedures are
completely standardised towards a variety of approaches (tailored, responsive, adaptive) in …

This report provides guidance and documentation for users of the combined base-year to
third follow-up data of the Education Longitudinal Study of 2002 (ELS: 2002). ELS: 2002 is …

We used a tailored survey design to obtain a more representative response. Paradata from
previous consumer sentiments surveys and register information were used to stratify the …

Surveys face difficult choices in managing cost-error trade-offs. Stopping rules for surveys
have been proposed as a method for managing these trade-offs. A stopping rule will limit …