7 new papers on network replicability

You folks are working too hard, and I don’t find the time to keep posting news about all papers that come out on a weekly basis. But since replication, replicability, and generalizability have become such important topics in our field (arguably the topic of the year 2017), I wanted to …

Does network connectivity predict future depression? Non-replication paper published

Lizanne Schweren, a Postdoc at the University Medical Center Groningen, and colleagues published a paper in JAMA Psychiatry this morning showing that the connectivity of depression symptoms is, in contrast to what a prior paper found, not a predictor of treatment response. This is the first non-replication in the psychopathology …

Network models do not replicate … not.

When I see limitations in published network papers that I find sufficiently relevant to address, I discuss the papers here, and try to provide ways forward. For instance, Madhoo & Levine (2016) drew inferences from visually inspecting their networks, which inspired me to write a tutorial blog post on the …

Two new papers on predictability of symptom networks

This guest post was written by Jonas Haslbeck (jonas.haslbeck@gmail.com) who is a PhD student in the Psychosystems lab at the University of Amsterdam. Symptom networks have become popular in clinical psychology because they promise to provide insights into the topology and dynamics of mental disorders. Most analyses so far focused …

Tutorial paper on new methods for estimating psychological networks

This guest post was written by Giulio Costantini (costantinigiulio@gmail.com) who recently finished his PhD at the University of Milan Bicocca. His blog describes a new tutorial paper that was just published in Personality and Individual Differences (PDF), and follows his earlier 2015 tutorial paper on estimating psychological networks. In a …

The network approach to psychopathology: pitfalls, challenges, and future directions

After Angelique Cramer and colleagues published the first paper on empirical networks for psychopathology in 2010, a few years of great enthusiasm followed, and psychological network science felt a bit like the Wild West: Everything was possible, and it was difficult to find qualified reviewers due to the novelty of …

Network replicability: a cross-cultural PTSD study across of clinical datasets

Let’s start with a teaser: This blog post is a summary of the first psychological network study ever looking at the replicability of network models in 4 datasets, with a total N of 2,782 (Preprint). The paper is fully reproducible, and includes the covariance matrices of the four datasets so …

Public time-series data of 40 outpatients (21 items, 130 measurements)

This guest post was written by Aaron Fisher (afisher@berkeley.edu) who is an Assistant Professor of Psychology and the Director of the Idiographic Dynamics Lab at the University of California, Berkeley. Aaron argues for a shift from nomothetic to idiographic research, and describes a new dataset he made publicly available for …

Six new network papers, including a review of the empirical literature

The last weeks have been pretty busy with teaching, traveling, and writing that I didn’t find the time I wanted to for blogging. To catch up, this blog post will feature several new network papers (in alphabetical order by first author). It is becoming increasingly hard to keep up with …

New paper: differential variability of variables drives network structure

In psychopathological networks, we often model ordinal items (problems or symptoms) that are not normally distributed, especially in general population samples. But if a variable shows a floor effect, meaning that the mean is close to 0, it often has a small variance, which in turn means that the variable …