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Network analysis of multivariate data in psychological science
In recent years, network analysis has been applied to identify and analyse patterns of
statistical association in multivariate psychological data. In these approaches, network …
statistical association in multivariate psychological data. In these approaches, network …
The network approach to psychopathology: A review of the literature 2008–2018 and an agenda for future research
The network approach to psychopathology posits that mental disorders can be
conceptualized and studied as causal systems of mutually reinforcing symptoms. This …
conceptualized and studied as causal systems of mutually reinforcing symptoms. This …
Investigating the performance of exploratory graph analysis and traditional techniques to identify the number of latent factors: A simulation and tutorial.
Exploratory graph analysis (EGA) is a new technique that was recently proposed within the
framework of network psychometrics to estimate the number of factors underlying …
framework of network psychometrics to estimate the number of factors underlying …
Cognitive network science: A review of research on cognition through the lens of network representations, processes, and dynamics
Network science provides a set of quantitative methods to investigate complex systems,
including human cognition. Although cognitive theories in different domains are strongly …
including human cognition. Although cognitive theories in different domains are strongly …
[HTML][HTML] FTX's downfall and Binance's consolidation: The fragility of centralised digital finance
This paper investigates the causes and the consequences of the FTX digital currency
exchange's failure in November 2022. Analysing on-chain data, we report that FTX heavily …
exchange's failure in November 2022. Analysing on-chain data, we report that FTX heavily …
[HTML][HTML] Estimating the stability of psychological dimensions via bootstrap exploratory graph analysis: A Monte Carlo simulation and tutorial
Exploratory Graph Analysis (EGA) has emerged as a popular approach for estimating the
dimensionality of multivariate data using psychometric networks. Sampling variability …
dimensionality of multivariate data using psychometric networks. Sampling variability …
Psychological and neural responses to architectural interiors
People spend considerable time within built environments. In this study, we tested two
hypotheses about the relationship between people and built environments. First, aesthetic …
hypotheses about the relationship between people and built environments. First, aesthetic …
Reopening openness to experience: A network analysis of four openness to experience inventories
Openness to Experience is a complex trait, the taxonomic structure of which has been widely
debated. Previous research has provided greater clarity of its lower order structure by …
debated. Previous research has provided greater clarity of its lower order structure by …
[HTML][HTML] Predicting student well-being: Network analysis based on PISA 2018
E Govorova, I Benítez, J Muñiz - International Journal of Environmental …, 2020 - mdpi.com
The latest trends in research extend the focus of school effectiveness beyond students'
acquisition of knowledge and skills, looking at aspects such as well-being in the academic …
acquisition of knowledge and skills, looking at aspects such as well-being in the academic …
Possible futures for network psychometrics
D Borsboom - Psychometrika, 2022 - cambridge.org
This commentary reflects on the articles included in the Psychometrika Special Issue on
Network Psychometrics in Action. The contributions to the special issue are related to …
Network Psychometrics in Action. The contributions to the special issue are related to …