Network analysis of multivariate data in psychological science
In recent years, network analysis has been applied to identify and analyse patterns of
statistical association in multivariate psychological data. In these approaches, network …
statistical association in multivariate psychological data. In these approaches, network …
Evolving an idionomic approach to processes of change: Towards a unified personalized science of human improvement
The wide variety of “third wave” cognitive behavioral therapy (CBT) methods (eg,
Acceptance and Commitment Therapy or “ACT”, Compassion Focused Therapy, Meta …
Acceptance and Commitment Therapy or “ACT”, Compassion Focused Therapy, Meta …
[HTML][HTML] Psychopathological networks: Theory, methods and practice
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 …
have had a significant impact on how mental disorders are perceived in the field of clinical …
Survey and evaluation of causal discovery methods for time series
We introduce in this survey the major concepts, models, and algorithms proposed so far to
infer causal relations from observational time series, a task usually referred to as causal …
infer causal relations from observational time series, a task usually referred to as causal …
Reporting standards for psychological network analyses in cross-sectional data.
Statistical network models describing multivariate dependency structures in psychological
data have gained increasing popularity. Such comparably novel statistical techniques …
data have gained increasing popularity. Such comparably novel statistical techniques …
Variable-centered, person-centered, and person-specific approaches: Where theory meets the method
The variable-centered approach is favored in management and applied psychology, but the
person-centered approach is quickly growing in popularity. A partial cause for this rise is the …
person-centered approach is quickly growing in popularity. A partial cause for this rise is the …
A primer on two-level dynamic structural equation models for intensive longitudinal data in Mplus.
Technological advances have led to an increase in intensive longitudinal data and the
statistical literature on modeling such data is rapidly expanding, as are software capabilities …
statistical literature on modeling such data is rapidly expanding, as are software capabilities …
Moving forward: Challenges and directions for psychopathological network theory and methodology
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 …
novel framework has received considerable attention. The past years have resulted in over …
The Gaussian graphical model in cross-sectional and time-series data
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 …
correlation coefficients) and detail its utility as an exploratory data analysis tool. The GGM …
[HTML][HTML] A new science of mental disorders: Using personalised, transdiagnostic, dynamical systems to understand, model, diagnose and treat psychopathology
The core ideas of a 10-year research program 'New Science of Mental Disorders' are
outlined. This research program moves away from the disorder-based 'one-model-fits …
outlined. This research program moves away from the disorder-based 'one-model-fits …