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Project Status: Active – The project has reached a stable, usable state and is being actively developed. Downloads Total Downloads per month

Exploratory Graph Analysis

Hudson F. Golino

Assistant Professor of Quantitative Methods, Department of Psychology, University of Virginia.

Alexander P. Christensen

Department of Psychology, University of North Carolina at Greensboro.

News

The EGAnet package is currently supported by two University of Virginia grants, one from the STAR - Support Transformative Autism Research initiative and one from the Democracy Initiative.

The old EGA package is now EGAnet, and is now available in The Comprehensive R Archive Network (CRAN): https://cran.r-project.org/web/packages/EGAnet/index.html

References

Christensen, A. P., & Golino, H. (under review). On the equivalency of factor and network loadings. PsyArXiv. doi:10.31234/osf.io/xakez

Christensen, A. P., Golino, H., & Silvia, P. J. (in press). A psychometric network perspective on the validity and validation of personality trait questionnaires. European Journal of Personality. doi:10.1002/per.2265

Golino, H., Christensen, A. P., Moulder, R. G., Kim, S., & Boker, S. M. (under review). 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. PsyArXiv. doi:10.31234/osf.io/tfs7c.

Golino, H., & Demetriou, A. (2017). Estimating the dimensionality of intelligence like data using Exploratory Graph Analysis. Intelligence, 62, 54-70. doi:j.intell.2017.02.007

Golino, H., & Epskamp, S. (2017). Exploratory graph analysis: A new approach for estimating the number of dimensions in psychological research. PLoS ONE, 12, e0174035. doi:10.1371/journal.pone.0174035

Golino, H., Moulder, R. G., Shi, D., Christensen, A. P., Garrido, L. E., Neito, M. D., Nesselroade, J., Sadana, R., Thiyagarajan, J. A., & Boker, S. M. (in press). Entropy fit indices: New fit measures for assessing the structure and dimensionality of multiple latent variables. Multivariate Behavioral Research. doi:10.31234/osf.io/mtka2

Golino, H., Shi, D., Christensen, A. P., Garrido, L. E., Nieto, M. D., Sadana, R., Thiyagarajan, J. A., & Martinez-Molina, A. (2020). Investigating the performance of exploratory graph analysis and traditional techniques to identify the number of latent factors: A simulation and tutorial. Psychological Methods, 25, 292-320. doi:10.1037/met0000255

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