Copyright © 2007-2019 The OpenMx Project

Published on *OpenMx* (https://openmx.ssri.psu.edu)

- Amos [1] is part of SPSS.
- Calis [2] is part of SAS.
- EQS [3] is published by Multivariate Software.
- lavaan [4] is an open source library for R.
- LISREL [5] is published by Scientific Software.
- MPlus [6] is published by Muthen and Muthen.
- Mx [7] is available from Virginia Commonwealth University.
**OpenMx**is available right here :-)- RAMONA is part of Systat [8].
- sem [9] is an open source library for R.
- SEPath [10] is part of Statistica.
- SmartPLS [11] is available from SmartPLS.

- Blunch (2008) Introduction to Structural Equation Modelling Using SPSS and AMOS. Sage Publications
- Bollen (1989) Structural Equations with Latent Variables. Wiley-Interscience
- Bollen (2005) Latent Curve Models: A Structural Equation Perspective. Wiley-Interscience
- Brown (2006) Confirmatory Factor Analysis for Applied Research. Guilford Press
- Byrne (2009) Structural Equation Modeling With AMOS: Basic Concepts, Applications, and Programming, 2nd Edition. Taylor and Francis
- Duncan, Duncan, & Strycker (2006) An Introduction to Latent Variable Growth Curve Modeling: Concepts, Issues, and Applications. Lawrence Erlbaum Associates
- DuToit, Cudeck, & Sorbom (2000) Structural Equation Modeling: Present and Future. Scientific Software International.
- Gelman & Hill (2006) Data Analysis Using Regression and Multilevel/Hierarchical Models. Cambridge University Press
- Hancock & Mueller (2006) Structural Equation Modeling: A Second Course. Information Age Publishing
- Kline (2004) Principles and Practice of Structural Equation Modeling, 2nd Edition. Guilford Press
- Marcoulides & Schumacker (1996) Advanced Structural Equation Modeling: Issues and Techniques. Lawrence Erlbaum
- Maruyama (1998) Basics of Structural Equation Modeling. Sage Publications
- Mulaik (2009) Linear Causal Modeling with Structural Equations. Chapman & Hall
- Preacher, Wichman, MacCallum, & Briggs (2008) Latent Growth Curve Modeling. Sage Publications
- Raykov & Marcolides (2006) A First Course in Structural Equation Modeling, 2nd Edition. Lawrence Erlbaum Associates.
- Schumacker & Lomax (2004) A Beginner's Guide to Structural Equation Modeling, 2nd Edition. Lawrence Erlbaum Associates.
- Skrondal & Rabe-Hesketh (2004) Generalized Latent Variable Modeling: Multilevel, Longitudinal, and Structural Equation Models. Chapman & Hall

- Dalgaard (2008) Introductory Statistics with R, 2nd Edition. Springer
- Everitt & Hothorn (2006) A Handbook of Statistical Analyses Using R. Chapman & Hall
- Maindonald & Braun (2006) Data Analysis and Graphics Using R: An Example-based Approach, 2nd Edition. Cambridge University Press
- Venables & Smith (2009) An Introduction to R, 2nd Edition. Network Theory Ltd

- Ed Rigdon's excellent page [12] of Structural Equation Modeling links.
- The SEMNET Archives [13] have over a decade of searchable SEM-related postings.
- Structural Equation Modeling [14] is the Wikipedia page.
- Dave Garson maintains a Tutorial [15] introduction to Amos
- Dave Kenny has an Introduction to SEM [16] about which he is overly modest.
- Of course, there is a journal entirely devoted to SEM [17]
- Jason Newsom maintains a large list of SEM references [18]

**Links**

[1] https://www.ibm.com/analytics/spss-statistics-software?mhq=spss

[2] http://v8doc.sas.com/sashtml/stat/chap19/sect1.htm

[3] http://www.mvsoft.com

[4] https://CRAN.R-project.org/package=lavaan

[5] http://www.ssicentral.com

[6] http://www.statmodel.com

[7] http://www.vcu.edu/mx

[8] http://www.systat.com

[9] https://CRAN.R-project.org/package=sem

[10] https://www.tibco.com/products/data-science

[11] https://www.smartpls.com

[12] http://www2.gsu.edu/~mkteer

[13] http://www2.gsu.edu/~mkteer/semnet.html

[14] http://en.wikipedia.org/wiki/Structural_equation_modeling

[15] http://faculty.chass.ncsu.edu/garson/PA765/structur.htm

[16] http://davidakenny.net/cm/causalm.htm

[17] https://www.tandfonline.com/toc/hsem20/current

[18] http://web.pdx.edu/~newsomj