Network analysis of multivariate data in psychological science

D Borsboom, MK Deserno, M Rhemtulla… - Nature Reviews …, 2021 - nature.com
In recent years, network analysis has been applied to identify and analyse patterns of
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

SC Hayes, J Ciarrochi, SG Hofmann, F Chin… - … Research and Therapy, 2022 - Elsevier
The wide variety of “third wave” cognitive behavioral therapy (CBT) methods (eg,
Acceptance and Commitment Therapy or “ACT”, Compassion Focused Therapy, Meta …

[HTML][HTML] Psychopathological networks: Theory, methods and practice

LF Bringmann, C Albers, C Bockting… - … Research and Therapy, 2022 - Elsevier
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 …

Survey and evaluation of causal discovery methods for time series

CK Assaad, E Devijver, E Gaussier - Journal of Artificial Intelligence …, 2022 - jair.org
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 …

Reporting standards for psychological network analyses in cross-sectional data.

J Burger, AM Isvoranu, G Lunansky… - Psychological …, 2023 - psycnet.apa.org
Statistical network models describing multivariate dependency structures in psychological
data have gained increasing popularity. Such comparably novel statistical techniques …

Variable-centered, person-centered, and person-specific approaches: Where theory meets the method

MC Howard, ME Hoffman - Organizational Research …, 2018 - journals.sagepub.com
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 …

A primer on two-level dynamic structural equation models for intensive longitudinal data in Mplus.

D McNeish, EL Hamaker - Psychological methods, 2020 - psycnet.apa.org
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 …

Moving forward: Challenges and directions for psychopathological network theory and methodology

EI Fried, AOJ Cramer - Perspectives on Psychological …, 2017 - journals.sagepub.com
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 …

The Gaussian graphical model in cross-sectional and time-series data

S Epskamp, LJ Waldorp, R Mõttus… - Multivariate behavioral …, 2018 - Taylor & Francis
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 …

[HTML][HTML] A new science of mental disorders: Using personalised, transdiagnostic, dynamical systems to understand, model, diagnose and treat psychopathology

A Roefs, EI Fried, M Kindt, C Martijn, B Elzinga… - … Research and Therapy, 2022 - Elsevier
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 …