Browsing Tag
special issue on network psychometrics 2024
7 posts
Changing networks: Moderated idiographic psychological networks
By Laura F. Bringmann, Sigert Ariens, Anja F. Ernst, Evelien Snippe, & Eva Ceulemans
May 4, 2024
The effects of omitted variables and measurement error on cross-sectional network psychometric models
By Teague R. Henry & Ai Ye
April 23, 2024
Discovering cyclic causal models in psychological research
By Kyuri Park, Lourens J. Waldorp, & Oisín Ryan
April 22, 2024
Comparing maximum likelihood and maximum pseudolikelihood estimators for the Ising model
By Sara Keetelaar, Nikola Sekulovski, Denny Borsboom, & Maarten Marsman
April 20, 2024
Introducing semantic loadings in factor analysis: Bridging network psychometrics and cognitive networks for understanding depression, anxiety and stress
By Filippo Stanghellini, Enrico Perinelli, Luigi Lombardi, & Massimo Stella
March 13, 2024
Simplifying Bayesian analysis of graphical models for the social sciences with easybgm: A user-friendly R-package
By Karoline B. S. Huth, Sara Keetelaar, Nikola Sekulovski, Don van den Bergh, & Maarten Marsman
March 11, 2024
Modeling and managing behavior change in groups: A Boolean network method
By Xiao Yang, Réka Albert, Lauren Elreda Molloy, & Nilam Ram
March 8, 2024