Browsing Tag
special issue on network psychometrics 2024
12 posts
Observed correlations between person-means depend on within-person correlations
By Jonas Haslbeck & Sacha Epskamp
Relating network-instantiated constructs to psychological variables through network-derived metrics: An exploratory study
By Simran K. Johal & Mijke Rhemtulla
Dynamic exploratory graph analysis of emotions in politics
By Aleksandar Tomašević & Sara Major
A generalized approach for Bayesian Gaussian graphical models
By Vithor Rosa Franco, Guilherme W. F. Barros, & Marcos Jiménez
Sensitivity analysis of prior distributions in Bayesian graphical modeling: Guiding informed prior choices for conditional independence testing
By Nikola Sekulovski, Sara Keetelaar, Jonas Haslbeck, & Maarten Marsman
Changing networks: Moderated idiographic psychological networks
By Laura F. Bringmann, Sigert Ariens, Anja F. Ernst, Evelien Snippe, & Eva Ceulemans
The effects of omitted variables and measurement error on cross-sectional network psychometric models
By Teague R. Henry & Ai Ye
Discovering cyclic causal models in psychological research
By Kyuri Park, Lourens J. Waldorp, & Oisín Ryan
Comparing maximum likelihood and maximum pseudolikelihood estimators for the Ising model
By Sara Keetelaar, Nikola Sekulovski, Denny Borsboom, & Maarten Marsman
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
