Since the introduction of mental disorders as networks of causally interacting symptoms, this
novel framework has received considerable attention. The past years have resulted in over …

Purpose The network perspective on psychopathology understands mental disorders as
complex networks of interacting symptoms. Despite its recent debut, with conceptual …

In recent years, network approaches to psychopathology have sparked much debate and
have had a significant impact on how mental disorders are perceived in the field of clinical …

We discuss the Gaussian graphical model (GGM; an undirected network of partial
correlation coefficients) and detail its utility as an exploratory data analysis tool. The GGM …

Inferring reciprocal effects or causality between variables is a central aim of behavioral and
psychological research. To address reciprocal effects, a variety of longitudinal models that …

This is the first paper in a series of two that synthesizes, compares, and extends methods for
causal inference with longitudinal panel data in a structural equation modeling (SEM) …

Recent literature has introduced (a) the network perspective to psychology and (b) collection
of time series data to capture symptom fluctuations and other time varying factors in daily life …

Time series of individual subjects have become a common data type in psychological
research. These data allow one to estimate models of within-subject dynamics, and thereby …

Ambulatory assessment (AA; also known as ecological momentary assessment) has
enjoyed enthusiastic implementation in psychological research. The ability to assess …

Multivariate psychological processes have recently been studied, visualized, and analyzed
as networks. In this network approach, psychological constructs are represented as complex …