semPlot: Unified Visualizations of Structural Equation Models

Sacha Epskamp

321 citations0/0 files storedStructural Equation Modeling A Multidisciplinary Journal

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Psychometric Methodologies and Testing Data Visualization and Analytics Data Analysis with R

Abstract

Structural equation modeling (SEM) has a long history of representing models graphically as path diagrams. This article presents the freely available semPlot package for R, which fills the gap between advanced, but time-consuming, graphical software and the limited graphics produced automatically by SEM software. In addition, semPlot offers more functionality than drawing path diagrams: It can act as a common ground for importing SEM results into R. Any result usable as input to semPlot can also be represented in any of the 3 popular SEM frameworks, as well as translated to input syntax for the R packages sem (Fox, Nie, & Byrnes, 2013) and lavaan (Rosseel, 2012). Special considerations are made in the package for the automatic placement of variables, using 3 novel algorithms that extend the earlier work of Boker, McArdle, and Neale (2002). The article concludes with detailed instructions on these node-placement algorithms.

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References

2012lavaan : An R Package for Structural Equation Modeling 1989Structural Equations with Latent Variables 1991Structural Equations with Latent Variables.1989EQS : structural equations program manual 1989LISREL 7 : user's reference guide 2012qgraph : Network Visualizations of Relationships in Psychometric Data 1993Measurement Invariance, Factor Analysis and Factorial Invariance 1988Structural Equation Modeling with LISREL

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