lavaan: An R Package for Structural Equation Modeling
TLDR
The aims behind the development of the lavaan package are explained, an overview of its most important features are given, and some examples to illustrate how lavaan works in practice are provided.Abstract:
Structural equation modeling (SEM) is a vast field and widely used by many applied researchers in the social and behavioral sciences. Over the years, many software packages for structural equation modeling have been developed, both free and commercial. However, perhaps the best state-of-the-art software packages in this field are still closed-source and/or commercial. The R package lavaan has been developed to provide applied researchers, teachers, and statisticians, a free, fully open-source, but commercial-quality package for latent variable modeling. This paper explains the aims behind the development of the package, gives an overview of its most important features, and provides some examples to illustrate how lavaan works in practice.read more
Citations
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Book ChapterDOI
Structural Equation Modeling
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Qgraph: Network visualizations of relationships in psychometric data
Sacha Epskamp,Angélique O. J. Cramer,Lourens J. Waldorp,Verena D. Schmittmann,Denny Borsboom +4 more
TL;DR: The qgraph package for R is presented, which provides an interface to visualize data through network modeling techniques, and is introduced by applying the package functions to data from the NEO-PI-R, a widely used personality questionnaire.
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piecewiseSEM: Piecewise structural equation modelling in r for ecology, evolution, and systematics
TL;DR: In this paper, the authors present an open-source implementation of structural equation models (SEM), a form of path analysis that resolves complex multivariate relationships among a suite of interrelated variables.
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Common Beliefs and Reality About PLS: Comments on Rönkkö and Evermann (2013)
Jörg Henseler,Jörg Henseler,Theo K. Dijkstra,Marko Sarstedt,Marko Sarstedt,Christian M. Ringle,Christian M. Ringle,Adamantios Diamantopoulos,Detmar W. Straub,David J. Ketchen,Joseph F. Hair,G. Tomas M. Hult,Roger J. Calantone +12 more
TL;DR: In this article, the authors address Ronkko and Evermann's criticisms of the Partial Least Squares (PLS) approach to structural equation modeling and conclude that PLS should continue to be used as an important statistical tool for management and organizational research, as well as other social science disciplines.
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Estimating Psychological Networks and their Accuracy : A tutorial paper
TL;DR: In this article, the authors introduce the current state-of-the-art of network estimation and propose two novel statistical methods: the correlation stability coefficient and the bootstrapped difference test for edge-weights and centrality indices.
References
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