module 19: network analysis

module 19: network analysis

  • module 19: network analysis
    19/09/2019 - 20/09/2019
    9:30 am - 5:00 pm
    Thu 19/09: 9.30 am - 5.00 pm | S8 room 0.041
    Fri 20/09: 9.30 am - 5.00 pm | S8 room 0.041

Course details

week 2


The 2-day network workshop starts with a conceptual introduction on why items in psychological data tend to co-occur, and what this implies about the constructs we work with. This is followed by an introduction to social and psychological network models; an overview of the network literature in psychopathology (the field where network psychometric models have been used most over the last years); and a summary of important topics (centrality, comorbidity, early warning signals). The first group of statistical models we learn are network models in cross-sectional data. We will use the free statistical environment R to learn the basics about (1) network estimation, (2) network inference, and (3) network accuracy. We will finish this section with some advanced topics and methods, such as network comparisons, modeling of different types of variables, and considerations about causality. The statistical focus of day 2 is on dynamic time-series models: how do variables impact on each other over time? After an introduction into the general modeling framework, we learn to estimate network models for n=1 and n>1 time-series data, followed by a discussion of some common problems and advanced techniques. We round up the workshop with a practical session where workshop participants learn to apply the knowledge to several datasets.

Course structure

Lectures and a practical session.


Basic knowledge of R software


Prof. Eiko Fried graduated in Clinical Psychology at the Free University of Berlin, in close collaboration with the University of Michigan. After 4 years of postdoc in the quantitative psychology groups at KU Leuven and University of Amsterdam, he now works as Assistant Professor in Clinical Psychology in Leiden University. Eiko’s main interest lies in studying individual symptoms of mental disorders and their network configurations, and he has published conceptual and empirical papers on mental disorders as complex dynamical systems (depression, bereavement, substance abuse, PTSD, generalized anxiety disorder). He has also written a number of tutorial papers that aim to help clinical researchers overcome statistical hurdles, and has published on the psychometrics, measurement, and ontology of mental disorders.

Julian Burger graduated with the research master in psychological methods and clinical psychology at the University of Amsterdam and now works as a PhD student at the University Medical Centre Groningen in close collaboration with the University of Amsterdam. The PhD project focusses on personalised network models in clinical psychology, and how these models can be made accessible for psychotherapy. His main interests lie in complex system approaches to psychopathology, and in bridging the gap between those models and their implementation in clinical practice. Besides that, Julian teaches statistics and social psychology in an interdisciplinary study track at the University of Amsterdam (Politics, Psychology, Law and Economics).


Venue Phone: +32 9 264 48 84

Venue Website:

Krijgslaan 281, Gent, 9000, Belgium