DominiqueMakowski / EGAnet

CRAN 0.9.8 | GitHub 0.9.9

Exploratory Graph Analysis

Hudson F. Golino

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

Contact: [e-mail]

Alexander P. Christensen

Postdoctoral Researcher, Department of Neurology, University of Pennsylvania.

Contact: [e-mail]

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

Chrisensen, A. P., Garrido, L. E., & Golino, H. (under review). Unique Variable Analysis: A novel approach to detect redundant variables in multivariate data. PsyArXiv. doi:10.31234/osf.io/4kra2

• Related functions: UVA

Christensen, A. P., Garrido, L. E., & Golino, H. (under review). Comparing community detection algorithms in psychological data: A Monte Carlo simulation. PsyArXiv. doi:10.31234/osf.io/hz89e

• Related functions: EGA

Christensen, A. P., & Golino, H. (under review). Estimating the stability of psychological dimensions via Bootstrap Exploratory Graph Analysis: A Monte Carlo simulation and tutorial. PsyArXiv. doi:10.31234/osf.io/9deay

• Related functions: bootEGA

Christensen, A. P., & Golino, H. (2021). Factor or network model? Predictions from neural networks. Journal of Behavioral Data Science, 1(1), 85-126. doi:10.35566/jbds/v1n1/p5

• Related functions: LCT

Christensen, A. P., & Golino, H. (2021). On the equivalency of factor and network loadings. Behavior Research Methods. doi:10.3758/s13428-020-01500-6

• Related functions: LCT and net.loads

Christensen, A. P., Golino, H., & Silvia, P. J. (2020). A psychometric network perspective on the validity and validation of personality trait questionnaires. European Journal of Personality, 34, 1095-1108. doi:10.1002/per.2265

• Related functions: bootEGA, dimStability, EGA, itemStability, and UVA

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

• Related functions: dynEGA and simDFM

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

• Related functions: EGA

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

• Related functions: EGA

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. (2020). 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

• Related functions: entropyFit, tefi, and vn.entropy

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

• Related functions: EGA

Golino, H., Thiyagarajan, J. A., Sadana, M., Teles, M., Christensen, A. P., & Boker, S. M. (under review). Investigating the broad domains of intrinsic capacity, functional ability, and environment: An exploratory graph analysis approach for improving analytical methodologies for measuring healthy aging. PsyArXiv. doi:10.31234/osf.io/hj5mc

• Related functions EGA.fit and tefi