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TEACHER'S CORNER: Structural Equation Modeling With the sem Package in R

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Fox, John·2006·Structural Equation Modeling: A Multidisciplinary Journal

Abstract

R is free, open-source, cooperatively developed software that implements the S statistical programming language and computing environment. The current capabilities of R are extensive, and it is in wide use, especially among statisticians. The sem package provides basic structural equation modeling facilities in R, including the ability to fit structural equations in observed variable models by two-stage least squares, and to fit latent variable models by full information maximum likelihood assuming multinormality. This article briefly describes R, and then proceeds to illustrate the use of the tsls and sem functions in the sem package. The article also demonstrates the integration of the sem package with other facilities available in R, for example for computing polychoric correlations and for bootstrapping.

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Metadata

Authors
Fox, J.
Venue
Structural Equation Modeling: A Multidisciplinary Journal
Published
2006-06-28
Volume
13
Issue
3
Pages
465-486
ISSN
  • 1070-5511 (ISSN-L)
  • 1532-8007
OpenAlex
W2091031656
Cited by
436
References
2
FWCI
15.83
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: TEACHER'S CORNER: Structural Equation Modeling With the sem Package in R. https://app.cochat.ai/papers/10.1207/s15328007sem1303_7
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Fox, J. (2006). TEACHER'S CORNER: Structural Equation Modeling With the sem Package in R. Structural Equation Modeling: A Multidisciplinary Journal. https://doi.org/10.1207/s15328007sem1303_7

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.