Although missing data methods have advanced in recent years, methodologists have
devoted less attention to multilevel data structures where observations at level-1 are nested …

The last 20 years has seen an uptick in research on missing data problems, and most
software applications now implement one or more sophisticated missing data handling …

Despite the broad appeal of missing data handling approaches that assume a missing at
random (MAR) mechanism (eg, multiple imputation and maximum likelihood estimation) …

Previous studies have found that burnout is to some extent contagious and have argued it is
a socially induced phenomenon. However, until now, actual social interactions and the long …

Specialized imputation routines for multilevel data are widely available in software
packages, but these methods are generally not equipped to handle a wide range of …

Young People are still referred to as digital natives, although numerous studies have shown
differences in their access to digital devices, Internet usage and attitude towards …

In 2015, over 90 percent of German rivers failed to reach a good ecological status as
demanded by the EU Water Framework Directive (WFD). Deficits in water quality, mainly …

Adults demonstrate aesthetic preferences for natural environments over urban ones. This
preference has influenced theories like Biophilia to explain why nature is beneficial. While …

One major challenge of longitudinal data analysis is to find an appropriate statistical model
that corresponds to the theory of change and the research questions at hand. In the present …

Background Schizophrenia is a leading cause of disability, and a shift from facility-to
community-based care has been proposed to meet the resource challenges of mental …