In this article, I trace struggles regarding EU internal mobility and migrant labour as they emerge in the mobilization of South European migrants in Berlin. The effects of the 2007–2008 financial crisis and European ...

Dynamic panel models are a popular approach to study interrelationships between repeatedly measured variables. Often, dynamic panel models are specified and estimated within a structural equation modeling (SEM) framework. ...

Continuous-time modeling is gaining in popularity as more and more intensive longitudinal data need to be analyzed. Current Bayesian software implementations of continuous-time models suffer from rather high, inadequate ...

Social cohesion plays a key role in processes of peacebuilding and sustainable development. Fostering social cohesion might present a potential to enhance the connection of natural resource management and peacebuilding and ...

Introduction Age-related declines in multiple facets of sexuality in later life are well documented. However, most studies have been cross-sectional with data collected at one point in time, leaving questions about ...

Purpose: Against the background of increasing infrastructure loss in many rural areas, this study aims to contribute conceptually and empirically towards better understanding of rural innovation processes related to provision ...

In the hope for more sustainable agriculture and a stronger connection to their food, an increasing number of consumers participate in alternative food networks (AFNs) characterised by short food supply chains. However, ...

A review of dimensional research about (the perception of) feelings, non-verbal and verbal communication, behavior and personality reveals in each domain three very similar dimensions. They originated from diverse research ...

Explanatory models (EMs) for illness are highly relevant for patients, and they are also important for clinical diagnoses and treatment. EMs serve to capture patients' personal illness narratives and can help reveal how ...

Different methods to obtain individual scores from multiple item latent variable models exist, but their performance under realistic conditions is currently underresearched. We investigate the performance of the regression ...