APS
31st APS Annual Convention
Advances and Applications of Exploratory Graph Analysis in Psychological Science
The current symposium will present current advances and applications of Exploratory Graph Analysis (EGA) in Psychology. EGA is a new technique to assess the number of latent variables in multivariate data that have been shown higher accuracies to correctly detect factors than traditional factor analytic techniques.
Chairs & Discussants
- Hudson GolinoChair
University of Virginia - Robert MoulderDiscussant
University of Virginia
Presentations
- Bootega: Estimating the Stability of Dimensions and Items in Exploratory Graph AnalysisAlexander Christensen
- The Development of an Entropy Fit Index for Dimensionality Assessment in Exploratory Graph AnalysisGustav Sjobeck
- Using Ega and Emoxicon to Detect Emotions in Text.Tara Saunders
- Investigating the Accuracy of Ega and Lda to Estimate Latent Topics in Text.Christof Fehrman
