Incorrect data sets may bias statistical results. To avoid this, various processing, edi ting and imputation steps were …

Nonresponse in surveys may result in a distortion of the distribution of interest. In a panel survey the participation … simulated 6 different pattern of nonresponse bias and investigated the fade-away effect across the waves 2006 to 2009. We found …

Multiple imputation is a method specifically designed for variance estimation in the presence of missing data. Rubin …'s combination formula requires that the imputation method is "proper" which essentially means that the imputations are random draws …, the methods used for imputing for nonresponse are typically non-Bayesian, e.g., some kind of stratified hot-deck. Hence …

We evaluate how nonresponse affects conclusions drawn from survey data and consider how researchers can reliably test … and correct for nonresponse bias. To do so, we examine a survey on labor market conditions during the COVID-19 pandemic … sources, allowing us to observe a ground truth for participants and nonparticipants. We find evidence of large nonresponse …

, error from nonresponse is an increasing problem in many surveys today. In this paper we discuss different approaches to deal …

This study examines the phenomenon of nonresponse in the first wave of a refresher sample (subsample H) of the German … moves, and other important microgeographic information. This linked information is then used to analyze nonresponse. In a … response and nonresponse in panel surveys (and in cross-sectional surveys). However, the effect sizes of these effects are …