Experience sampling software ‘mobileQ’: new, free, open source

Peter Kuppens is Professor of Psychology at KU Leuven-University of Leuven in Belgium. He studies the nature and dynamics of emotions in their natural habitat, daily life, and how they play a role in well-being and mood disorder. His research group has developed an Android smartphone platform, called mobileQ, to …

Idiography: Where have we come from, where should we go to?

Marilyn Piccirillo (email) is a graduate student in the Washington University Clinical Science Ph.D. program. She is primarily interested in idiographic methodology and how psychologists can implement these methods into clinical and applied settings. Recently, she authored two papers on idiography in collaboration with her mentor – Tom Rodebaugh – …

ICPS 2019: Collection of presentations related to dynamical systems

ICPS 2019 in Paris was last week, the European version of the US APS conference. Many researchers working on networks, time-series data, and dynamical systems were present, and I wanted to share all slides here. I have been asked to state that the slides were never intended to be used …

Network models of factor scores: mixing apples with oranges

We recently had a new paper accepted, for which we estimated networks of the 7 subscales of the Contingencies of Self-Worth Scale. The paper was written by Giovanni Briganti uses open data of 670 participants. I conducted some sensitivity and robustness analyses for the paper, and became interested in all …

Fixed-margin sampling & networks: New commentary on network replicability

This guest blog post was written by Sacha Epskamp, Assistant Professor at the University of Amsterdam. It does not necessarily reflect the opinions of other authors on the paper introduced below.   The methodological journal Multivariate Behavioral Research just published our latest contribution to the debate surrounding the replicability of …

(Mis)interpreting Networks: An Abbreviated Tutorial on Visualizations

This guest post was written by Payton Jones (payton_jones@g.harvard.edu), and is the abbreviated version of a tutorial published in Frontiers recently (“Visualizing Psychological Networks: A Tutorial in R“). Payton is a graduate student at Harvard University in the Richard J. McNally lab. His research focuses on the etiology of mental …

How to interpret centrality values in network structures (not)

For posts on psych-networks, I usually want to write about a topic for a few months, don’t find the time, and then a new paper comes along that prompts me to write up what I had in mind. For instance: A paper by Madhoo & Levin 2016 prompted me to …

Bootstrapping edges after regularization: clarifications & tutorial

I have read the following statement numerous times in the last months: “If the 95% boostrapped CI of an edge weight in a network contains zero, the edge is likely not different from zero”. This is incorrect in case of regularized partial correlation networks, and I thought I would write …

APS 2018: Collection of all network presentations

APS 2018 — the conference of the Association for Psychological Science in San Francisco, May 2018 — featured many talks on the topics complex systems, time-series models, network models, and modeling intensive longitudinal data assessed via experience sampling. I promised to collect all slides I could hunt down, and want …

New paper on the role of stabilizing and communicating symptoms

This guest post was written by Tessa F. Blanken and Marie K. Deserno who are both PhD-students associated with the Psychosystems Lab at the University of Amsterdam. They secretly meet up every Friday to vividly discuss potential extensions of the network analysis toolbox. This post summarizes a new paper available …