Statistical network models describing multivariate dependency structures in psychological
data have gained increasing popularity. Such comparably novel statistical techniques …

Stein et al's paper1 provides an excellent overview of current directions in psychiatric
diagnosis. The paper makes clear that, although there has been considerable work …

Many behavioral researchers are interested in measuring constructs such as mood, affect, or
cognition—all of which cannot be observed directly. Instead, researchers administer items …

Using network analysis, we estimated the structure of relations among manic and
depressive symptoms, respectively, in 486 patients (59% women; age: M= 37, SD= 12.1) …

Statistical network models based on Pairwise Markov Random Fields (PMRFs) are popular
tools for analyzing multivariate psychological data, in large part due to their perceived role in …

Attention and reading are essential skills for successful schooling and in adult life. While
previous studies have documented that attention development supports reading acquisition …

The network theory, as outlined in D. Borsboom's seminal paper in this journal1, postulates
that mental disorders may be viewed as emergent phenomena from complex systems, in …

Background Characteristics of traumatic events may be associated with the level and
specific manifestation of posttraumatic stress symptoms (PTSS). This study examined the …

Alcohol use disorder is argued to be a highly complex disorder influenced by a multitude of
factors on different levels. Common research approaches fail to capture this breadth of …

There are multiple trajectories of post-traumatic stress disorder (PTSD) symptoms following
disasters. Unraveling the patterns of interactions between PTSD symptoms across distinct …