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 …
Comparing community detection algorithms in psychometric networks: A Monte Carlo simulation
Identifying the correct number of factors in multivariate data is fundamental to psychological
measurement. Factor analysis has a long tradition in the field, but it has been challenged …
measurement. Factor analysis has a long tradition in the field, but it has been challenged …
The Misinformation Susceptibility Test (MIST): A psychometrically validated measure of news veracity discernment
Interest in the psychology of misinformation has exploded in recent years. Despite ample
research, to date there is no validated framework to measure misinformation susceptibility …
research, to date there is no validated framework to measure misinformation susceptibility …
[HTML][HTML] Unravelling the web of addictions: A network analysis approach
Background Common elements across different forms of addiction suggest the possibility of
comorbid addictions, as well as the transition/replacement of one form of addiction with …
comorbid addictions, as well as the transition/replacement of one form of addiction with …
A modern network approach to revisiting the Positive and Negative Affective Schedule (PANAS) construct validity
Introduction The factor structure of the Positive and Negative Affective Schedule (PANAS) is
still a topic of debate. There are several reasons why using Exploratory Graph Analysis …
still a topic of debate. There are several reasons why using Exploratory Graph Analysis …
The relationship between demoralization and depressive symptoms among patients from the general hospital: Network and exploratory graph analysis
MB Murri, R Caruso, H Ounalli, L Zerbinati… - Journal of affective …, 2020 - Elsevier
Introduction Depression and demoralization are highly prevalent among individuals with
physical illnesses but their relationship is still unclear. Objective To examine the relationship …
physical illnesses but their relationship is still unclear. Objective To examine the relationship …
Comparing community detection algorithms in psychological data: A Monte Carlo simulation
Identifying the correct number of factors in multivariate data is fundamental to psychological
measurement. Factor analysis has a long tradition in the field but it's been challenged …
measurement. Factor analysis has a long tradition in the field but it's been challenged …
A network analysis of the fear of COVID-19 scale (FCV-19S): a large-scale cross-cultural study in Iran, Bangladesh, and Norway
The rapid spread of the coronavirus disease 2019 (COVID-19) has led to high levels of fear
worldwide. Given that fear is an important factor in causing psychological distress and …
worldwide. Given that fear is an important factor in causing psychological distress and …
[HTML][HTML] Investigating the structure of the Children's Concentration and Empathy Scale using exploratory graph analysis
The current paper investigates the structural validity of the Children's Concentration and
Empathy Scale (CCES), which was designed based on Montessori's developmental theory …
Empathy Scale (CCES), which was designed based on Montessori's developmental theory …
Modeling latent topics in social media using Dynamic Exploratory Graph Analysis: The case of the right-wing and left-wing trolls in the 2016 US elections
The past few years were marked by increased online offensive strategies perpetrated by
state and non-state actors to promote their political agenda, sow discord, and question the …
state and non-state actors to promote their political agenda, sow discord, and question the …