Readme.md

In hfgolino/EGA: Exploratory Graph Analysis – a Framework for Estimating the Number of Dimensions in Multivariate Data using Network Psychometrics

To get started, check out the website: r-ega.net

How to Install

if(!"devtools" %in% row.names(installed.packages())){
  install.packages("devtools")
}

devtools::install_github("hfgolino/EGAnet")

Exploratory Graph Analysis

Hudson F. Golino

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

Contact: [e-mail]

Alexander P. Christensen

Assistant Professor of Quantitative Methods, Department of Psychology and Human Development, Vanderbilt University

Contact: [e-mail]

News

The EGAnet package version 2.0.0 (Blue Metallic) is now available on CRAN.

You can read about some of the changes in this dedicated Wiki. There's also a Wiki for the new plotting system, and a series of posts about the package on Twitter: some new functions, new stability analysis, and more.

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.

References

Christensen, A. P. (2023). Unidimensional community detection: A Monte Carlo simulation, grid search, and comparison. PsyArXiv. doi:10.31234/osf.io/ep3vx + Related functions: community.unidimensional

Christensen, A. P., Garrido, L. E., & Golino, H. (2023). Unique variable analysis: A network psychometrics method to detect local dependence. Multivariate Behavioral Research. doi:10.1080/00273171.2023.2194606 + Related functions: UVA

Christensen, A. P., Garrido, L. E., Guerra-Pena, K., & Golino, H. (2023). Comparing community detection algorithms in psychometric networks: A Monte Carlo simulation. Behavior Research Methods. doi:10.31234/osf.io/hz89e + Related functions: EGA

Christensen, A. P., & Golino, H. (2021). Estimating the stability of psychological dimensions via Bootstrap Exploratory Graph Analysis: A Monte Carlo simulation and tutorial. Psych, 3(3), 479-500. doi:10.3390/psych3030032 + Related functions: bootEGA, dimensionStability, and itemStability

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, 53, 1563–1580. 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, dimensionStability, EGA, itemStability, and UVA

Christensen, A. P., Gross, G. M., Golino, H., Silvia, P. J., & Kwapil, T. R. (2019). Exploratory graph analysis of the Multidimensional Schizotypy Scale. Schizophrenia Research, 206, 43-51. doi:10.1016/j.schres.2018.12.018 + Related functions: CFA and EGA

Garcia-Pardina, A., Abad, F. J., Christensen, A. P., Golino, H., & Garrido, L. E. (2022). Dimensionality assessment in the presence of wording effects: A network psychometric and factorial approach. PsyArXiv. doi:10.31234/osf.io/7yqau + Related functions: riEGA

Golino, H., Christensen, A. P., Moulder, R. G., Kim, S., & Boker, S. M. (2022). 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. Psychometrika, 87(1), 156-187. doi:10.1007/s11336-021-09820-y + Related functions: dynEGA, net.loads, andsimDFM

Golino, H., & Demetriou, A. (2017). Estimating the dimensionality of intelligence like data using Exploratory Graph Analysis. Intelligence, 62, 54-70. doi:10.1016/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: CFA, bootEGA, and 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., Nesselroade, J. R., & Christensen, A. P. (2022). Towards a psychology of individuals: The ergodicity information index and a bottom-up approach for finding generalizations. PsyArXiv. doi:10.31234/osf.io/th6rm + Related functions: boot.ergoInfo, ergoInfo, jsd, and infoCluster

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

Jamison, L., Christensen, A. P., & Golino, H. (2021). Optimizing Walktrap's community detection in networks using the Total Entropy Fit Index. PsyArXiv. doi:10.31234/osf.io/9pj2m + Related functions: EGA.fit and tefi

Jamison, L., Golino, H., & Christensen, A. P. (2023). Metric invariance in exploratory graph analysis via permutation testing. PsyArXiv. doi:10.31234/osf.io/j4rx9 + Related functions: invariance

Jiménez, M., Abad, F. J., Garcia-Garzon, E., Golino, H., Christensen, A. P., & Garrido, L. E. (2023). Dimensionality assessment in bifactor structures with multiple general factors: A network psychometrics approach. Psychological Methods. doi:10.1037/met0000590 + Related functions: hierEGA and net.scores

Shi, D., Christensen, A. P., Day, E., Golino, H., & Garrido, L. E. (2023). A Bayesian approach for dimensionality assessment in psychological networks. PsyArXiv. doi:10.31234/osf.io/9rcev + Related functions: EGA

hfgolino/EGA documentation built on Nov. 11, 2024, 9:28 p.m.