I have sensed a shift towards criticizing and rejecting cross-sectional analyses in favor of within-person longitudinal analyses.
Version 1.2.1 of R package 'networktools' just went live on CRAN, and it comes with some very useful updates! Repulsion The most exciting change is an update to plotting networks with MDSnet, PCAnet, or EIGENnet. These types of plotting approaches are an improvement on the force-directed defaults of igraph or qgraph in the sense that… Continue reading Updates in networktools 1.2.1
Psychological network analysis is a valuable tool for understanding the relationships among components of mental disorders, personality traits, or other psychological variables. But what if those networks are different for different types of people? After all, can we really expect that relationships between psychological variables will hold constant for all age groups, genders, nationalities, ideologies,… Continue reading A brief tutorial on the networktree package
In network science, analyzing centrality is the primary method for determining node importance. There are many different types of centrality, and the appropriateness of a centrality analysis depends on the type of network you are using and how you define node importance. Bridge centrality is a set of statistics that measures the importance of nodes in… Continue reading Bootstrapping bridge centrality using the bootnet package
The Amazing Capacity of Vision Most of the time, I talk with other clinical psychologists. However, every once in a while, I get the chance to talk to a vision scientist. If you get the chance to do the same, I highly recommend it -- you might be surprised what you hear. Vision scientists tend… Continue reading Psychological Network Analysis is Not a Predictive Method