Contact: hfg9s@virginia.edu
Contact: alexpaulchristensen@gmail.com
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
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
andnet.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
, andUVA
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
andsimDFM
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
, andvn.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
andtefi