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TEACHER'S CORNER: Structural Equation Modeling With the sem Package in R
Open accessAbstract
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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Citations
Cites
Bootstrap Methods and their Application
Davison, A. C., & Hinkley, D. V. (1997) · doi:10.1017/cbo9780511802843 · Cited by 7,350 · cited 1×
“In this example, facilities in the boot package (which is associated with Davison & Hinkley, 1997, and is part of the standard R distribution) are used to bootstrap a model fit by sem , and in my polycor package (a contributed package on CRAN) to compute polychoric correlations among ordinal…”
MethodMaximum Likelihood Estimation of the Polychoric Correlation Coefficient
Olsson, U. (1979) · Psychometrika · doi:10.1007/bf02296207 · Cited by 1,127
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Epskamp, S., Cramer, A. O. J., Waldorp, L. J., Schmittmann, V. D., & Borsboom, D. (2012) · Journal of Statistical Software · doi:10.18637/jss.v048.i04 · Cited by 4,856
An empirical comparison of the efficacy of covariance-based and variance-based SEM
Reinartz, W., Haenlein, M., & Henseler, J. (2009) · International Journal of Research in Marketing · doi:10.1016/j.ijresmar.2009.08.001 · Cited by 2,906
Ensuring Positiveness of the Scaled Difference Chi-square Test Statistic
Satorra, A., & Bentler, P. M. (2010) · Psychometrika · doi:10.1007/s11336-009-9135-y · Cited by 2,695
Burgess, S., Dudbridge, F., & Thompson, S. G. (2016) · Statistics in Medicine · doi:10.1002/sim.6835 · Cited by 1,153
Metadata
- Authors
- Fox, J.
- Venue
- Structural Equation Modeling: A Multidisciplinary Journal
- Publisher
- Informa UK Limited
- 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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